Mock Version: 1.3.4 ENTER ['do'](['bash', '--login', '-c', '/usr/bin/rpmbuild -bs --target x86_64 --nodeps /builddir/build/SPECS/tensorflow.spec'], chrootPath='/var/lib/mock/692119-fedora-rawhide-x86_64-1514665880.879986/root'env={'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;\\007"', 'PS1': ' \\s-\\v\\$ ', 'LANG': 'en_US.UTF-8'}shell=Falselogger=timeout=0uid=1001gid=135user='mockbuild'nspawn_args=[]printOutput=True) Executing command: ['bash', '--login', '-c', '/usr/bin/rpmbuild -bs --target x86_64 --nodeps /builddir/build/SPECS/tensorflow.spec'] with env {'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;\\007"', 'PS1': ' \\s-\\v\\$ ', 'LANG': 'en_US.UTF-8'} and shell False Building target platforms: x86_64 Building for target x86_64 Wrote: /builddir/build/SRPMS/tensorflow-1.4.1-1.fc28.src.rpm Child return code was: 0 ENTER ['do'](['bash', '--login', '-c', '/usr/bin/rpmbuild -bb --target x86_64 --nodeps /builddir/build/SPECS/tensorflow.spec'], chrootPath='/var/lib/mock/692119-fedora-rawhide-x86_64-1514665880.879986/root'env={'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;\\007"', 'PS1': ' \\s-\\v\\$ ', 'LANG': 'en_US.UTF-8'}shell=Falselogger=timeout=0uid=1001gid=135user='mockbuild'nspawn_args=[]printOutput=True) Executing command: ['bash', '--login', '-c', '/usr/bin/rpmbuild -bb --target x86_64 --nodeps /builddir/build/SPECS/tensorflow.spec'] with env {'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;\\007"', 'PS1': ' \\s-\\v\\$ ', 'LANG': 'en_US.UTF-8'} and shell False Building target platforms: x86_64 Building for target x86_64 Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.9r3EJg + umask 022 + cd /builddir/build/BUILD + cd /builddir/build/BUILD + rm -rf tensorflow-1.4.1 + /usr/bin/gzip -dc /builddir/build/SOURCES/v1.4.1.tar.gz + /usr/bin/tar -xof - + STATUS=0 + '[' 0 -ne 0 ']' + cd tensorflow-1.4.1 + /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w . + echo 'Patch #0 (change-env-python-to-env-python3.patch):' Patch #0 (change-env-python-to-env-python3.patch): + /usr/bin/patch --no-backup-if-mismatch -p1 --fuzz=0 patching file tensorflow/tools/build_info/gen_build_info.py patching file tensorflow/tools/ci_build/windows/bazel/common_env.sh patching file tensorflow/tools/git/gen_git_source.py patching file third_party/gpus/crosstool/clang/bin/crosstool_wrapper_driver_is_not_gcc.tpl patching file third_party/sycl/crosstool/computecpp.tpl + exit 0 Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.1CvZi3 + umask 022 + cd /builddir/build/BUILD + cd tensorflow-1.4.1 + export LANG=en_US.UTF-8 + LANG=en_US.UTF-8 + export PYTHON_BIN_PATH=/usr/bin/python3 + PYTHON_BIN_PATH=/usr/bin/python3 + export PYTHON_LIB_PATH=/usr/lib64/python3.6/site-packages + PYTHON_LIB_PATH=/usr/lib64/python3.6/site-packages + export TF_NEED_JEMALLOC=1 + TF_NEED_JEMALLOC=1 + export TF_NEED_S3=0 + TF_NEED_S3=0 + export TF_NEED_GCP=0 + TF_NEED_GCP=0 + export TF_NEED_OPENCL=0 + TF_NEED_OPENCL=0 + export TF_ENABLE_XLA=0 + TF_ENABLE_XLA=0 + export TF_NEED_GDR=0 + TF_NEED_GDR=0 + export TF_NEED_VERBS=0 + TF_NEED_VERBS=0 + export TF_NEED_MPI=0 + TF_NEED_MPI=0 + export TF_NEED_CUDA=0 + TF_NEED_CUDA=0 + export TF_NEED_HDFS=0 + TF_NEED_HDFS=0 + export CC_OPT_FLAGS=-march=native + CC_OPT_FLAGS=-march=native + ./configure Extracting Bazel installation... You have bazel 0.8.1- (@non-git) installed. Add "--config=mkl" to your bazel command to build with MKL support. Please note that MKL on MacOS or windows is still not supported. If you would like to use a local MKL instead of downloading, please set the environment variable "TF_MKL_ROOT" every time before build. Configuration finished + bazel build --action_env PATH=/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/sbin:/builddir/.local/bin:/builddir/bin --verbose_failures //tensorflow/tools/pip_package:build_pip_package .............. Loading: Loading: 0 packages loaded Loading: 0 packages loaded Analyzing: target //tensorflow/tools/pip_package:build_pip_package (3 packages loaded) Analyzing: target //tensorflow/tools/pip_package:build_pip_package (5 packages loaded) Analyzing: target //tensorflow/tools/pip_package:build_pip_package (6 packages loaded) Analyzing: target //tensorflow/tools/pip_package:build_pip_package (6 packages loaded) Analyzing: target //tensorflow/tools/pip_package:build_pip_package (14 packages loaded) Analyzing: target //tensorflow/tools/pip_package:build_pip_package (50 packages loaded) Analyzing: target //tensorflow/tools/pip_package:build_pip_package (62 packages loaded) Analyzing: target //tensorflow/tools/pip_package:build_pip_package (86 packages loaded) Analyzing: target //tensorflow/tools/pip_package:build_pip_package (95 packages loaded) Analyzing: target //tensorflow/tools/pip_package:build_pip_package (101 packages loaded) Analyzing: target //tensorflow/tools/pip_package:build_pip_package (104 packages loaded) Analyzing: target //tensorflow/tools/pip_package:build_pip_package (107 packages loaded) WARNING: /builddir/build/BUILD/tensorflow-1.4.1/tensorflow/core/BUILD:1781:1: in includes attribute of cc_library rule //tensorflow/core:framework_headers_lib: '../../external/nsync/public' resolves to 'external/nsync/public' not below the relative path of its package 'tensorflow/core'. This will be an error in the future. Since this rule was created by the macro 'cc_header_only_library', the error might have been caused by the macro implementation in /builddir/build/BUILD/tensorflow-1.4.1/tensorflow/tensorflow.bzl:1047:30 Analyzing: target //tensorflow/tools/pip_package:build_pip_package (115 packages loaded) Analyzing: target //tensorflow/tools/pip_package:build_pip_package (117 packages loaded) Analyzing: target //tensorflow/tools/pip_package:build_pip_package (121 packages loaded) WARNING: /builddir/build/BUILD/tensorflow-1.4.1/tensorflow/contrib/learn/BUILD:15:1: in py_library rule //tensorflow/contrib/learn:learn: target '//tensorflow/contrib/learn:learn' depends on deprecated target '//tensorflow/contrib/session_bundle:exporter': No longer supported. Switch to SavedModel immediately. WARNING: /builddir/build/BUILD/tensorflow-1.4.1/tensorflow/contrib/learn/BUILD:15:1: in py_library rule //tensorflow/contrib/learn:learn: target '//tensorflow/contrib/learn:learn' depends on deprecated target '//tensorflow/contrib/session_bundle:gc': No longer supported. Switch to SavedModel immediately. INFO: Analysed target //tensorflow/tools/pip_package:build_pip_package (203 packages loaded). INFO: Found 1 target... [0 / 3] BazelWorkspaceStatusAction stable-status.txt [10 / 14] Compiling external/protobuf_archive/src/google/protobuf/util/internal/protostream_objectsource.cc [for host]; 2s local [20 / 24] Compiling external/protobuf_archive/src/google/protobuf/compiler/cpp/cpp_primitive_field.cc [for host]; 1s local [29 / 33] Compiling external/protobuf_archive/src/google/protobuf/compiler/objectivec/objectivec_message_field.cc [for host]; 0s local ... (2 actions running) [39 / 43] Compiling external/protobuf_archive/src/google/protobuf/struct.pb.cc [for host]; 2s local ... (2 actions running) [49 / 53] Compiling external/protobuf_archive/src/google/protobuf/descriptor.cc [for host]; 2s local ... (2 actions running) [57 / 61] Compiling external/protobuf_archive/src/google/protobuf/map_field.cc [for host]; 2s local ... (2 actions running) [70 / 74] Compiling external/protobuf_archive/src/google/protobuf/compiler/javanano/javanano_message.cc [for host]; 1s local ... (2 actions running) [83 / 87] Compiling external/protobuf_archive/src/google/protobuf/compiler/java/java_file.cc [for host]; 1s local ... (2 actions running) [103 / 111] Compiling external/protobuf_archive/src/google/protobuf/compiler/csharp/csharp_message.cc [for host]; 0s local ... (2 actions running) [122 / 129] Compiling external/protobuf_archive/src/google/protobuf/compiler/objectivec/objectivec_field.cc [for host]; 1s local ... (2 actions running) [150 / 154] Compiling external/protobuf_archive/src/google/protobuf/type.pb.cc [for host]; 2s local ... (2 actions running) [177 / 181] Compiling external/protobuf_archive/src/google/protobuf/compiler/parser.cc [for host]; 2s local ... (2 actions running) INFO: From Compiling tensorflow/core/framework/op_kernel.cc [for host]: tensorflow/core/framework/op_kernel.cc:956:8: warning: 'tensorflow::Status tensorflow::{anonymous}::FindKernelRegistration(const tensorflow::DeviceType&, const tensorflow::Node&, const tensorflow::KernelRegistration**, bool*)' defined but not used [-Wunused-function] Status FindKernelRegistration(const DeviceType& device_type, const Node& node, ^~~~~~~~~~~~~~~~~~~~~~ [278 / 308] Compiling external/nasm/eval.c [for host]; 0s local ... (2 actions running) INFO: From Compiling external/snappy/snappy-c.cc [for host]: cc1plus: warning: command line option '-Wno-implicit-function-declaration' is valid for C/ObjC but not for C++ [338 / 343] Compiling tensorflow/core/framework/attr_value_util.cc [for host]; 2s local ... (2 actions running) INFO: From Compiling tensorflow/core/kernels/lookup_util.cc [for host]: tensorflow/core/kernels/lookup_util.cc: In member function 'virtual void tensorflow::lookup::{anonymous}::TextFileLineIterator::Next()': tensorflow/core/kernels/lookup_util.cc:134:46: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (std::max(key_index_, value_index_) >= tokens.size()) { ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/lib/core/errors.h:19, from ./tensorflow/core/framework/tensor_shape.h:23, from ./tensorflow/core/framework/partial_tensor_shape.h:20, from ./tensorflow/core/framework/attr_value_util.h:23, from ./tensorflow/core/framework/node_def_util.h:23, from ./tensorflow/core/framework/shape_inference.h:20, from ./tensorflow/core/framework/common_shape_fns.h:20, from ./tensorflow/core/framework/resource_mgr.h:24, from ./tensorflow/core/framework/lookup_interface.h:19, from ./tensorflow/core/kernels/lookup_util.h:19, from tensorflow/core/kernels/lookup_util.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/lib/strings/numbers.cc [for host]: tensorflow/core/lib/strings/numbers.cc: In function 'std::__cxx11::string tensorflow::strings::HumanReadableNumBytes(tensorflow::int64)': tensorflow/core/lib/strings/numbers.cc:424:8: warning: '%lld' directive output may be truncated writing between 1 and 19 bytes into a region of size between 7 and 8 [-Wformat-truncation=] string HumanReadableNumBytes(int64 num_bytes) { ^~~~~~~~~~~~~~~~~~~~~ tensorflow/core/lib/strings/numbers.cc:424:8: note: directive argument in the range [0, 9223372036854775807] In file included from /usr/include/stdio.h:862:0, from /usr/lib/gcc/x86_64-redhat-linux/7/../../../../include/c++/7/cstdio:42, from /usr/lib/gcc/x86_64-redhat-linux/7/../../../../include/c++/7/ext/string_conversions.h:43, from /usr/lib/gcc/x86_64-redhat-linux/7/../../../../include/c++/7/bits/basic_string.h:6347, from /usr/lib/gcc/x86_64-redhat-linux/7/../../../../include/c++/7/string:52, from ./tensorflow/core/lib/strings/numbers.h:19, from tensorflow/core/lib/strings/numbers.cc:15: /usr/include/bits/stdio2.h:65:44: note: '__builtin_snprintf' output between 3 and 22 bytes into a destination of size 8 __bos (__s), __fmt, __va_arg_pack ()); ^ [377 / 382] Compiling tensorflow/core/lib/io/zlib_inputstream.cc [for host]; 0s local ... (2 actions running) [427 / 432] Compiling external/protobuf_archive/src/google/protobuf/message.cc [for host]; 1s local ... (2 actions running) [471 / 476] Compiling tensorflow/stream_executor/dnn.cc [for host]; 0s local ... (2 actions running) [516 / 521] Compiling tensorflow/core/framework/rendezvous.cc [for host]; 1s local ... (2 actions running) INFO: From Compiling tensorflow/core/common_runtime/gpu/process_state.cc [for host]: tensorflow/core/common_runtime/gpu/process_state.cc:62:6: warning: 'bool tensorflow::{anonymous}::useCudaMemoryGuardAllocator()' defined but not used [-Wunused-function] bool useCudaMemoryGuardAllocator() { ^~~~~~~~~~~~~~~~~~~~~~~~~~~ tensorflow/core/common_runtime/gpu/process_state.cc:53:6: warning: 'bool tensorflow::{anonymous}::useCudaMallocAllocator()' defined but not used [-Wunused-function] bool useCudaMallocAllocator() { ^~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/core/protobuf/config.pb_text.cc [for host]: bazel-out/host/genfiles/tensorflow/core/protobuf/config.pb_text.cc: In function 'bool tensorflow::internal::ProtoParseFromScanner(tensorflow::strings::Scanner*, bool, bool, tensorflow::ConfigProto*)': bazel-out/host/genfiles/tensorflow/core/protobuf/config.pb_text.cc:628:23: warning: 'map_value' may be used uninitialized in this function [-Wmaybe-uninitialized] (*map)[map_key] = map_value; bazel-out/host/genfiles/tensorflow/core/protobuf/config.pb_text.cc:619:9: note: 'map_value' was declared here int32 map_value; ^~~~~~~~~ [582 / 587] Compiling tensorflow/stream_executor/stream.cc [for host]; 4s local ... (2 actions running) INFO: From Compiling tensorflow/stream_executor/stream.cc [for host]: tensorflow/stream_executor/stream.cc: In function 'std::__cxx11::string perftools::gputools::{anonymous}::ToVlogString(perftools::gputools::dnn::DataType)': tensorflow/stream_executor/stream.cc:184:1: warning: control reaches end of non-void function [-Wreturn-type] } ^ INFO: From Compiling tensorflow/stream_executor/stream_executor_pimpl.cc [for host]: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/stream_executor/lib/status.h:21, from ./tensorflow/stream_executor/stream_executor_pimpl.h:25, from tensorflow/stream_executor/stream_executor_pimpl.cc:20: ./tensorflow/core/platform/default/logging.h: In instantiation of 'std::__cxx11::string* tensorflow::internal::Check_EQImpl(const T1&, const T2&, const char*) [with T1 = int; T2 = long long unsigned int; std::__cxx11::string = std::__cxx11::basic_string]': tensorflow/stream_executor/stream_executor_pimpl.cc:628:3: required from here ./tensorflow/core/platform/default/logging.h:228:25: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] == ) // Compilation error with CHECK_EQ(NULL, x)? ./tensorflow/core/platform/macros.h:79:29: note: in definition of macro 'TF_PREDICT_TRUE' #define TF_PREDICT_TRUE(x) (x) ^ ./tensorflow/core/platform/default/logging.h:227:1: note: in expansion of macro 'TF_DEFINE_CHECK_OP_IMPL' TF_DEFINE_CHECK_OP_IMPL(Check_EQ, ^~~~~~~~~~~~~~~~~~~~~~~ [646 / 651] Compiling tensorflow/core/common_runtime/copy_tensor.cc [for host]; 1s local ... (2 actions running) INFO: From Compiling external/snappy/snappy-stubs-internal.cc [for host]: cc1plus: warning: command line option '-Wno-implicit-function-declaration' is valid for C/ObjC but not for C++ INFO: From Compiling tensorflow/core/kernels/initializable_lookup_table.cc [for host]: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/lib/core/errors.h:19, from ./tensorflow/core/framework/tensor_shape.h:23, from ./tensorflow/core/framework/partial_tensor_shape.h:20, from ./tensorflow/core/framework/attr_value_util.h:23, from ./tensorflow/core/framework/node_def_util.h:23, from ./tensorflow/core/framework/shape_inference.h:20, from ./tensorflow/core/framework/common_shape_fns.h:20, from ./tensorflow/core/framework/resource_mgr.h:24, from ./tensorflow/core/framework/lookup_interface.h:19, from ./tensorflow/core/kernels/initializable_lookup_table.h:19, from tensorflow/core/kernels/initializable_lookup_table.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ [733 / 738] Compiling tensorflow/core/common_runtime/accumulate_n_optimizer.cc [for host]; 4s local ... (2 actions running) [834 / 839] Compiling tensorflow/core/framework/log_memory.cc [for host]; 2s local ... (2 actions running) INFO: From Compiling external/snappy/snappy-sinksource.cc [for host]: cc1plus: warning: command line option '-Wno-implicit-function-declaration' is valid for C/ObjC but not for C++ INFO: From Compiling external/snappy/snappy.cc [for host]: cc1plus: warning: command line option '-Wno-implicit-function-declaration' is valid for C/ObjC but not for C++ external/snappy/snappy.cc: In member function 'void snappy::SnappySinkAllocator::Flush(size_t)': external/snappy/snappy.cc:1403:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < blocks_.size(); ++i) { ~~^~~~~~~~~~~~~~~~ In file included from external/snappy/snappy-internal.h:34:0, from external/snappy/snappy.cc:30: external/snappy/snappy.cc: In instantiation of 'bool snappy::SnappyScatteredWriter::AppendFromSelf(size_t, size_t) [with Allocator = snappy::SnappySinkAllocator; size_t = long unsigned int]': external/snappy/snappy.cc:715:13: required from 'void snappy::SnappyDecompressor::DecompressAllTags(Writer*) [with Writer = snappy::SnappyScatteredWriter]' external/snappy/snappy.cc:799:3: required from 'bool snappy::InternalUncompressAllTags(snappy::SnappyDecompressor*, Writer*, snappy::uint32) [with Writer = snappy::SnappyScatteredWriter; snappy::uint32 = unsigned int]' external/snappy/snappy.cc:1460:78: required from here external/snappy/snappy.cc:1316:34: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (PREDICT_TRUE(offset - 1u < op_ptr_ - op_base_ && op_end <= op_limit_)) { ~~~~~~~~~~~~^~~~~~~~~~~~~ external/snappy/snappy-stubs-internal.h:80:25: note: in definition of macro 'PREDICT_TRUE' #define PREDICT_TRUE(x) x ^ INFO: From Compiling tensorflow/python/eager/python_eager_op_gen.cc [for host]: tensorflow/python/eager/python_eager_op_gen.cc: In function 'std::__cxx11::string tensorflow::{anonymous}::VectorToTuple(const std::vector >&)': tensorflow/python/eager/python_eager_op_gen.cc:61:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < l.size(); ++i) { ~~^~~~~~~~~~ tensorflow/python/eager/python_eager_op_gen.cc: In function 'void tensorflow::{anonymous}::Unflatten(const string&, const std::vector >&, const string&, std::__cxx11::string*)': tensorflow/python/eager/python_eager_op_gen.cc:73:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < output_sizes.size(); ++i) { ~~^~~~~~~~~~~~~~~~~~~~~ tensorflow/python/eager/python_eager_op_gen.cc:77:17: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (i + 1 < output_sizes.size()) { ~~~~~~^~~~~~~~~~~~~~~~~~~~~ tensorflow/python/eager/python_eager_op_gen.cc: In member function 'virtual std::__cxx11::string tensorflow::{anonymous}::GenEagerPythonOp::Code()': tensorflow/python/eager/python_eager_op_gen.cc:323:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < attrs_.size(); ++i) { ~~^~~~~~~~~~~~~~~ INFO: From ProtoCompile tensorflow/core/example/example.pb.cc: bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. [1,088 / 1,097] Compiling tensorflow/contrib/image/ops/distort_image_ops.cc; 1s local ... (2 actions running) INFO: From Compiling tensorflow/contrib/fused_conv/ops/fused_conv2d_bias_activation_op.cc [for host]: tensorflow/contrib/fused_conv/ops/fused_conv2d_bias_activation_op.cc:31:8: warning: 'std::__cxx11::string tensorflow::{anonymous}::GetAllActivationModeAttrString()' defined but not used [-Wunused-function] string GetAllActivationModeAttrString() { return "activation_mode: {'Relu'}"; } ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ INFO: From ProtoCompile tensorflow/contrib/decision_trees/proto/generic_tree_model_extensions.pb.cc: bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. INFO: From ProtoCompile tensorflow/contrib/tensor_forest/proto/tensor_forest_params.pb.cc: bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. INFO: From ProtoCompile tensorflow/contrib/tensor_forest/proto/fertile_stats.pb.cc: bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. INFO: From ProtoCompile tensorflow/contrib/decision_trees/proto/generic_tree_model.pb.cc: bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. INFO: From Compiling tensorflow/contrib/batching/kernels/batch_kernels.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/contrib/batching/batch_scheduler.h:37, from ./tensorflow/contrib/batching/shared_batch_scheduler.h:28, from tensorflow/contrib/batching/kernels/batch_kernels.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ In file included from tensorflow/contrib/batching/kernels/batch_kernels.cc:16:0: ./tensorflow/contrib/batching/shared_batch_scheduler.h: In instantiation of 'bool tensorflow::serving::internal::Queue::IsOpenBatchSchedulable() const [with TaskType = tensorflow::BatchResource::BatchTask]': ./tensorflow/contrib/batching/shared_batch_scheduler.h:594:55: required from 'std::unique_ptr > tensorflow::serving::internal::Queue::ScheduleBatch() [with TaskType = tensorflow::BatchResource::BatchTask]' ./tensorflow/contrib/batching/shared_batch_scheduler.h:465:24: required from 'void tensorflow::serving::SharedBatchScheduler::ThreadLogic() [with TaskType = tensorflow::BatchResource::BatchTask]' ./tensorflow/contrib/batching/shared_batch_scheduler.h:437:24: required from 'tensorflow::serving::SharedBatchScheduler::SharedBatchScheduler(const tensorflow::serving::SharedBatchScheduler::Options&):: [with TaskType = tensorflow::BatchResource::BatchTask]' ./tensorflow/contrib/batching/shared_batch_scheduler.h:437:10: required from 'struct tensorflow::serving::SharedBatchScheduler::SharedBatchScheduler(const tensorflow::serving::SharedBatchScheduler::Options&) [with TaskType = tensorflow::BatchResource::BatchTask]::' ./tensorflow/contrib/batching/shared_batch_scheduler.h:436:46: required from 'tensorflow::serving::SharedBatchScheduler::SharedBatchScheduler(const tensorflow::serving::SharedBatchScheduler::Options&) [with TaskType = tensorflow::BatchResource::BatchTask]' ./tensorflow/contrib/batching/shared_batch_scheduler.h:362:20: required from 'static tensorflow::Status tensorflow::serving::SharedBatchScheduler::Create(const tensorflow::serving::SharedBatchScheduler::Options&, std::shared_ptr >*) [with TaskType = tensorflow::BatchResource::BatchTask]' tensorflow/contrib/batching/kernels/batch_kernels.cc:217:5: required from here ./tensorflow/contrib/batching/shared_batch_scheduler.h:664:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] return closed_ || open_batch->size() >= options_.max_batch_size || ./tensorflow/contrib/batching/shared_batch_scheduler.h: In instantiation of 'tensorflow::Status tensorflow::serving::internal::Queue::Schedule(std::unique_ptr*) [with TaskType = tensorflow::BatchResource::BatchTask]': ./tensorflow/contrib/batching/shared_batch_scheduler.h:682:31: required from 'tensorflow::Status tensorflow::serving::internal::QueueHandle::Schedule(std::unique_ptr*) [with TaskType = tensorflow::BatchResource::BatchTask]' tensorflow/contrib/batching/kernels/batch_kernels.cc:997:1: required from here ./tensorflow/contrib/batching/shared_batch_scheduler.h:523:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if ((*task)->size() > options_.max_batch_size) { ./tensorflow/contrib/batching/shared_batch_scheduler.h:535:51: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (batches_.back()->size() + (*task)->size() > options_.max_batch_size) { ./tensorflow/contrib/batching/shared_batch_scheduler.h:536:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (batches_.size() >= options_.max_enqueued_batches) { tensorflow/contrib/batching/kernels/batch_kernels.cc: In member function 'tensorflow::Status tensorflow::BatchResource::RegisterInput(tensorflow::int64, tensorflow::OpKernelContext*, const string&, tensorflow::AsyncOpKernel::DoneCallback)': tensorflow/contrib/batching/kernels/batch_kernels.cc:261:53: warning: 'batcher_queue' may be used uninitialized in this function [-Wmaybe-uninitialized] return batcher_queue->Schedule(&batch_components); ^ INFO: From Compiling tensorflow/contrib/tensor_forest/kernels/v4/input_data.cc: tensorflow/contrib/tensor_forest/kernels/v4/input_data.cc: In member function 'void tensorflow::tensorforest::TensorDataSet::RandomSample(int, tensorflow::decision_trees::FeatureId*, float*, int*) const': tensorflow/contrib/tensor_forest/kernels/v4/input_data.cc:136:20: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (rand_feature < available_features_.size()) { // it's dense. ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ tensorflow/contrib/tensor_forest/kernels/v4/input_data.cc:141:28: warning: 'sparse_input_start' may be used uninitialized in this function [-Wmaybe-uninitialized] sparse_input_start + rand_feature - input_spec_.dense_features_size(); ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ INFO: From Compiling tensorflow/contrib/tensor_forest/kernels/v4/leaf_model_operators.cc: In file included from ./tensorflow/contrib/tensor_forest/kernels/v4/leaf_model_operators.h:19:0, from tensorflow/contrib/tensor_forest/kernels/v4/leaf_model_operators.cc:15: ./tensorflow/contrib/tensor_forest/kernels/v4/input_target.h: In member function 'virtual float tensorflow::tensorforest::TensorInputTarget::GetTargetWeight(int) const': ./tensorflow/contrib/tensor_forest/kernels/v4/input_target.h:71:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] return num_weights > 0 && example_index < num_weights ~~~~~~~~~~~~~~^~~~~~~~~~~~~ INFO: From Compiling tensorflow/contrib/tensor_forest/kernels/model_ops.cc: In file included from ./tensorflow/contrib/tensor_forest/kernels/v4/leaf_model_operators.h:19:0, from ./tensorflow/contrib/tensor_forest/kernels/v4/decision-tree-resource.h:21, from tensorflow/contrib/tensor_forest/kernels/model_ops.cc:19: ./tensorflow/contrib/tensor_forest/kernels/v4/input_target.h: In member function 'virtual float tensorflow::tensorforest::TensorInputTarget::GetTargetWeight(int) const': ./tensorflow/contrib/tensor_forest/kernels/v4/input_target.h:71:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] return num_weights > 0 && example_index < num_weights ~~~~~~~~~~~~~~^~~~~~~~~~~~~ tensorflow/contrib/tensor_forest/kernels/model_ops.cc: In member function 'virtual void tensorflow::tensorforest::TreePredictionsV4Op::Compute(tensorflow::OpKernelContext*)': tensorflow/contrib/tensor_forest/kernels/model_ops.cc:233:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < tree_paths.size(); ++i) { ~~^~~~~~~~~~~~~~~~~~~ In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/gtl/array_slice_internal.h:32, from ./tensorflow/core/lib/gtl/array_slice.h:101, from ./tensorflow/core/lib/strings/str_util.h:23, from ./tensorflow/contrib/tensor_forest/kernels/data_spec.h:23, from tensorflow/contrib/tensor_forest/kernels/model_ops.cc:18: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/contrib/tensor_forest/kernels/v4/decision_node_evaluator.cc: tensorflow/contrib/tensor_forest/kernels/v4/decision_node_evaluator.cc: In member function 'virtual tensorflow::int32 tensorflow::tensorforest::ObliqueInequalityDecisionNodeEvaluator::Decide(const std::unique_ptr&, int) const': tensorflow/contrib/tensor_forest/kernels/v4/decision_node_evaluator.cc:85:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < feature_num_.size(); ++i) { ~~^~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/contrib/tensor_forest/kernels/v4/decision-tree-resource.cc: In file included from ./tensorflow/contrib/tensor_forest/kernels/v4/leaf_model_operators.h:19:0, from ./tensorflow/contrib/tensor_forest/kernels/v4/decision-tree-resource.h:21, from tensorflow/contrib/tensor_forest/kernels/v4/decision-tree-resource.cc:15: ./tensorflow/contrib/tensor_forest/kernels/v4/input_target.h: In member function 'virtual float tensorflow::tensorforest::TensorInputTarget::GetTargetWeight(int) const': ./tensorflow/contrib/tensor_forest/kernels/v4/input_target.h:71:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] return num_weights > 0 && example_index < num_weights ~~~~~~~~~~~~~~^~~~~~~~~~~~~ tensorflow/contrib/tensor_forest/kernels/v4/decision-tree-resource.cc: In member function 'void tensorflow::tensorforest::DecisionTreeResource::SplitNode(tensorflow::int32, tensorflow::tensorforest::SplitCandidate*, std::vector*)': tensorflow/contrib/tensor_forest/kernels/v4/decision-tree-resource.cc:77:34: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] while (node_evaluators_.size() <= node_id) { ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/gtl/array_slice_internal.h:32, from ./tensorflow/core/lib/gtl/array_slice.h:101, from ./tensorflow/core/lib/strings/str_util.h:23, from ./tensorflow/contrib/tensor_forest/kernels/data_spec.h:23, from ./tensorflow/contrib/tensor_forest/kernels/v4/input_data.h:22, from ./tensorflow/contrib/tensor_forest/kernels/v4/decision_node_evaluator.h:20, from ./tensorflow/contrib/tensor_forest/kernels/v4/decision-tree-resource.h:19, from tensorflow/contrib/tensor_forest/kernels/v4/decision-tree-resource.cc:15: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ [1,279 / 1,303] Compiling tensorflow/contrib/tpu/ops/cross_replica_ops.cc [for host]; 2s local ... (2 actions running) INFO: From Compiling tensorflow/contrib/fused_conv/ops/fused_conv2d_bias_activation_op.cc: tensorflow/contrib/fused_conv/ops/fused_conv2d_bias_activation_op.cc:31:8: warning: 'std::__cxx11::string tensorflow::{anonymous}::GetAllActivationModeAttrString()' defined but not used [-Wunused-function] string GetAllActivationModeAttrString() { return "activation_mode: {'Relu'}"; } ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.cc: In file included from ./tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h:23:0, from tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.cc:15: ./tensorflow/contrib/tensor_forest/kernels/v4/input_target.h: In member function 'virtual float tensorflow::tensorforest::TensorInputTarget::GetTargetWeight(int) const': ./tensorflow/contrib/tensor_forest/kernels/v4/input_target.h:71:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] return num_weights > 0 && example_index < num_weights ~~~~~~~~~~~~~~^~~~~~~~~~~~~ In file included from tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.cc:15:0: ./tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h: In member function 'virtual bool tensorflow::tensorforest::GrowStats::IsInitialized() const': ./tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h:85:46: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] return weight_sum_ > 0 || splits_.size() == num_splits_to_consider_; ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ./tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h: In member function 'virtual bool tensorflow::tensorforest::ClassificationStats::IsInitialized() const': ./tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h:188:47: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] return weight_sum_ > 0 || (splits_.size() == num_splits_to_consider_ && ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.cc: In member function 'void tensorflow::tensorforest::GrowStats::AddSplit(const tensorflow::decision_trees::BinaryNode&, const std::unique_ptr&, const tensorflow::tensorforest::InputTarget*, int)': tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.cc:47:22: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (splits_.size() < num_splits_to_consider_) { ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.cc: In member function 'virtual void tensorflow::tensorforest::ClassificationStats::CheckPrune()': tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.cc:242:22: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (worst.size() < to_remove) { ~~~~~~~~~~~~~^~~~~~~~~~~ tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.cc: In member function 'void tensorflow::tensorforest::FixedSizeClassStats::accumulate(int, float)': tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.cc:645:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (class_weights_.size() < n_) { ~~~~~~~~~~~~~~~~~~~~~~^~~~ tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.cc:647:31: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (class_weights_.size() == n_) { ~~~~~~~~~~~~~~~~~~~~~~^~~~~ tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.cc: In member function 'void tensorflow::tensorforest::FixedSizeClassStats::ExtractFromProto(const tensorflow::decision_trees::SparseVector&)': tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.cc:710:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (class_weights_.size() == n_) { ~~~~~~~~~~~~~~~~~~~~~~^~~~~ tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.cc: In member function 'virtual void tensorflow::tensorforest::LeastSquaresRegressionGrowStats::PackToProto(tensorflow::tensorforest::FertileSlot*) const': tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.cc:842:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < total_sum_.size(); ++i) { ~~^~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/contrib/tensor_forest/kernels/v4/fertile-stats-resource.cc: In file included from ./tensorflow/contrib/tensor_forest/kernels/v4/fertile-stats-resource.h:22:0, from tensorflow/contrib/tensor_forest/kernels/v4/fertile-stats-resource.cc:15: ./tensorflow/contrib/tensor_forest/kernels/v4/input_target.h: In member function 'virtual float tensorflow::tensorforest::TensorInputTarget::GetTargetWeight(int) const': ./tensorflow/contrib/tensor_forest/kernels/v4/input_target.h:71:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] return num_weights > 0 && example_index < num_weights ~~~~~~~~~~~~~~^~~~~~~~~~~~~ In file included from ./tensorflow/contrib/tensor_forest/kernels/v4/split_collection_operators.h:20:0, from ./tensorflow/contrib/tensor_forest/kernels/v4/fertile-stats-resource.h:24, from tensorflow/contrib/tensor_forest/kernels/v4/fertile-stats-resource.cc:15: ./tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h: In member function 'virtual bool tensorflow::tensorforest::GrowStats::IsInitialized() const': ./tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h:85:46: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] return weight_sum_ > 0 || splits_.size() == num_splits_to_consider_; ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ./tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h: In member function 'virtual bool tensorflow::tensorforest::ClassificationStats::IsInitialized() const': ./tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h:188:47: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] return weight_sum_ > 0 || (splits_.size() == num_splits_to_consider_ && ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/gtl/array_slice_internal.h:32, from ./tensorflow/core/lib/gtl/array_slice.h:101, from ./tensorflow/core/lib/strings/str_util.h:23, from ./tensorflow/contrib/tensor_forest/kernels/data_spec.h:23, from ./tensorflow/contrib/tensor_forest/kernels/v4/input_data.h:22, from ./tensorflow/contrib/tensor_forest/kernels/v4/decision_node_evaluator.h:20, from ./tensorflow/contrib/tensor_forest/kernels/v4/fertile-stats-resource.h:20, from tensorflow/contrib/tensor_forest/kernels/v4/fertile-stats-resource.cc:15: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/contrib/tensor_forest/kernels/v4/split_collection_operators.cc: In file included from ./tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h:23:0, from ./tensorflow/contrib/tensor_forest/kernels/v4/split_collection_operators.h:20, from tensorflow/contrib/tensor_forest/kernels/v4/split_collection_operators.cc:15: ./tensorflow/contrib/tensor_forest/kernels/v4/input_target.h: In member function 'virtual float tensorflow::tensorforest::TensorInputTarget::GetTargetWeight(int) const': ./tensorflow/contrib/tensor_forest/kernels/v4/input_target.h:71:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] return num_weights > 0 && example_index < num_weights ~~~~~~~~~~~~~~^~~~~~~~~~~~~ In file included from ./tensorflow/contrib/tensor_forest/kernels/v4/split_collection_operators.h:20:0, from tensorflow/contrib/tensor_forest/kernels/v4/split_collection_operators.cc:15: ./tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h: In member function 'virtual bool tensorflow::tensorforest::GrowStats::IsInitialized() const': ./tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h:85:46: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] return weight_sum_ > 0 || splits_.size() == num_splits_to_consider_; ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ./tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h: In member function 'virtual bool tensorflow::tensorforest::ClassificationStats::IsInitialized() const': ./tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h:188:47: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] return weight_sum_ > 0 || (splits_.size() == num_splits_to_consider_ && ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/contrib/tensor_forest/kernels/stats_ops.cc: In file included from ./tensorflow/contrib/tensor_forest/kernels/v4/leaf_model_operators.h:19:0, from ./tensorflow/contrib/tensor_forest/kernels/v4/decision-tree-resource.h:21, from tensorflow/contrib/tensor_forest/kernels/stats_ops.cc:18: ./tensorflow/contrib/tensor_forest/kernels/v4/input_target.h: In member function 'virtual float tensorflow::tensorforest::TensorInputTarget::GetTargetWeight(int) const': ./tensorflow/contrib/tensor_forest/kernels/v4/input_target.h:71:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] return num_weights > 0 && example_index < num_weights ~~~~~~~~~~~~~~^~~~~~~~~~~~~ In file included from ./tensorflow/contrib/tensor_forest/kernels/v4/split_collection_operators.h:20:0, from ./tensorflow/contrib/tensor_forest/kernels/v4/fertile-stats-resource.h:24, from tensorflow/contrib/tensor_forest/kernels/stats_ops.cc:19: ./tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h: In member function 'virtual bool tensorflow::tensorforest::GrowStats::IsInitialized() const': ./tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h:85:46: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] return weight_sum_ > 0 || splits_.size() == num_splits_to_consider_; ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ./tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h: In member function 'virtual bool tensorflow::tensorforest::ClassificationStats::IsInitialized() const': ./tensorflow/contrib/tensor_forest/kernels/v4/grow_stats.h:188:47: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] return weight_sum_ > 0 || (splits_.size() == num_splits_to_consider_ && ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/gtl/array_slice_internal.h:32, from ./tensorflow/core/lib/gtl/array_slice.h:101, from ./tensorflow/core/lib/strings/str_util.h:23, from ./tensorflow/contrib/tensor_forest/kernels/data_spec.h:23, from tensorflow/contrib/tensor_forest/kernels/stats_ops.cc:17: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling external/protobuf_archive/python/google/protobuf/pyext/message.cc: external/protobuf_archive/python/google/protobuf/pyext/message.cc: In function 'PyObject* google::protobuf::python::message_meta::New(PyTypeObject*, PyObject*, PyObject*)': external/protobuf_archive/python/google/protobuf/pyext/message.cc:201:54: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] static char *kwlist[] = {"name", "bases", "dict", 0}; ^ external/protobuf_archive/python/google/protobuf/pyext/message.cc:201:54: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/message.cc:201:54: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/message.cc: At global scope: external/protobuf_archive/python/google/protobuf/pyext/message.cc:399:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] }; ^ external/protobuf_archive/python/google/protobuf/pyext/message.cc:399:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/message.cc: In function 'bool google::protobuf::python::CheckAndGetDouble(PyObject*, double*)': external/protobuf_archive/python/google/protobuf/pyext/message.cc:703:44: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] FormatTypeError(arg, "int, long, float"); ^ external/protobuf_archive/python/google/protobuf/pyext/message.cc: In function 'bool google::protobuf::python::CheckAndGetBool(PyObject*, bool*)': external/protobuf_archive/python/google/protobuf/pyext/message.cc:721:43: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] FormatTypeError(arg, "int, long, bool"); ^ external/protobuf_archive/python/google/protobuf/pyext/message.cc: In function 'PyObject* google::protobuf::python::CheckString(PyObject*, const google::protobuf::FieldDescriptor*)': external/protobuf_archive/python/google/protobuf/pyext/message.cc:757:44: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] FormatTypeError(arg, "bytes, unicode"); ^ external/protobuf_archive/python/google/protobuf/pyext/message.cc:772:33: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] FormatTypeError(arg, "bytes"); ^ external/protobuf_archive/python/google/protobuf/pyext/message.cc: In function 'PyObject* google::protobuf::python::cmessage::InternalSerializeToString(google::protobuf::python::CMessage*, PyObject*, PyObject*, bool)': external/protobuf_archive/python/google/protobuf/pyext/message.cc:1818:48: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] static char* kwlist[] = { "deterministic", 0 }; ^ external/protobuf_archive/python/google/protobuf/pyext/message.cc: At global scope: external/protobuf_archive/python/google/protobuf/pyext/message.cc:2648:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] }; ^ external/protobuf_archive/python/google/protobuf/pyext/message.cc:2648:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/message.cc:2648:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/message.cc:2648:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/message.cc: In instantiation of 'bool google::protobuf::python::CheckAndGetInteger(PyObject*, T*) [with T = int; PyObject = _object]': external/protobuf_archive/python/google/protobuf/pyext/message.cc:695:58: required from here external/protobuf_archive/python/google/protobuf/pyext/message.cc:635:20: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] FormatTypeError(arg, "int, long"); ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ external/protobuf_archive/python/google/protobuf/pyext/message.cc: In instantiation of 'bool google::protobuf::python::CheckAndGetInteger(PyObject*, T*) [with T = long int; PyObject = _object]': external/protobuf_archive/python/google/protobuf/pyext/message.cc:696:58: required from here external/protobuf_archive/python/google/protobuf/pyext/message.cc:635:20: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/message.cc: In instantiation of 'bool google::protobuf::python::CheckAndGetInteger(PyObject*, T*) [with T = unsigned int; PyObject = _object]': external/protobuf_archive/python/google/protobuf/pyext/message.cc:697:60: required from here external/protobuf_archive/python/google/protobuf/pyext/message.cc:635:20: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/message.cc: In instantiation of 'bool google::protobuf::python::CheckAndGetInteger(PyObject*, T*) [with T = long unsigned int; PyObject = _object]': external/protobuf_archive/python/google/protobuf/pyext/message.cc:698:60: required from here external/protobuf_archive/python/google/protobuf/pyext/message.cc:635:20: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] INFO: From Compiling external/protobuf_archive/python/google/protobuf/pyext/descriptor_pool.cc: external/protobuf_archive/python/google/protobuf/pyext/descriptor_pool.cc: In function 'PyObject* google::protobuf::python::cdescriptor_pool::New(PyTypeObject*, PyObject*, PyObject*)': external/protobuf_archive/python/google/protobuf/pyext/descriptor_pool.cc:139:46: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] static char* kwlist[] = {"descriptor_db", 0}; ^ INFO: From Compiling external/protobuf_archive/python/google/protobuf/pyext/message_factory.cc: external/protobuf_archive/python/google/protobuf/pyext/message_factory.cc: In function 'PyObject* google::protobuf::python::message_factory::New(PyTypeObject*, PyObject*, PyObject*)': external/protobuf_archive/python/google/protobuf/pyext/message_factory.cc:78:37: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] static char* kwlist[] = {"pool", 0}; ^ external/protobuf_archive/python/google/protobuf/pyext/message_factory.cc: At global scope: external/protobuf_archive/python/google/protobuf/pyext/message_factory.cc:225:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] }; ^ external/protobuf_archive/python/google/protobuf/pyext/message_factory.cc:225:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] INFO: From Compiling external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc: external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] }; ^ external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:628:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] }; ^ external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:930:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1083:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] }; ^ external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1083:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1083:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1083:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1083:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1083:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1083:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1083:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1083:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1083:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1083:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1083:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1083:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1083:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1083:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1083:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1083:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1083:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1192:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] }; ^ external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1192:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1192:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1192:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1192:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1192:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1192:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1192:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1192:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1192:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1192:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1192:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] }; ^ external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1360:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1513:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] }; ^ external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1513:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1513:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1513:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1513:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1513:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1513:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1513:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1513:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1513:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1513:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1513:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1513:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1513:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1629:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] }; ^ external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1629:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1629:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1629:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1629:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1629:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1629:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1629:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1629:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1629:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1629:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1629:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1742:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] }; ^ external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1742:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1742:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1742:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1742:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1742:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1742:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1742:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1742:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1742:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1742:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] external/protobuf_archive/python/google/protobuf/pyext/descriptor.cc:1742:1: warning: ISO C++ forbids converting a string constant to 'char*' [-Wwrite-strings] INFO: From Compiling tensorflow/core/ops/data_flow_ops.cc [for host]: tensorflow/core/ops/data_flow_ops.cc:368:8: warning: 'tensorflow::Status tensorflow::{anonymous}::ScalarOutput(tensorflow::shape_inference::InferenceContext*)' defined but not used [-Wunused-function] Status ScalarOutput(InferenceContext* c) { ^~~~~~~~~~~~ tensorflow/core/ops/data_flow_ops.cc:349:8: warning: 'tensorflow::Status tensorflow::{anonymous}::ScalarAndTwoElementVectorInputsAndScalarOutputs(tensorflow::shape_inference::InferenceContext*)' defined but not used [-Wunused-function] Status ScalarAndTwoElementVectorInputsAndScalarOutputs(InferenceContext* c) { ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/python/framework/fast_tensor_util.cpp: In file included from bazel-out/k8-py3-opt/genfiles/external/local_config_python/numpy_include/numpy/ndarraytypes.h:1816:0, from bazel-out/k8-py3-opt/genfiles/external/local_config_python/numpy_include/numpy/ndarrayobject.h:18, from bazel-out/k8-py3-opt/genfiles/external/local_config_python/numpy_include/numpy/arrayobject.h:4, from bazel-out/k8-py3-opt/genfiles/tensorflow/python/framework/fast_tensor_util.cpp:531: bazel-out/k8-py3-opt/genfiles/external/local_config_python/numpy_include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ [1,654 / 1,714] Compiling tensorflow/cc/framework/cc_op_gen.cc [for host]; 3s local ... (2 actions running) INFO: From Executing genrule //tensorflow/cc:array_ops_genrule: 2017-12-30 20:49:50.135281: W tensorflow/core/framework/op_gen_lib.cc:372] Squeeze can't find input squeeze_dims to rename INFO: From ProtoCompile tensorflow/core/grappler/costs/op_performance_data.pb.cc: bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. INFO: From ProtoCompile tensorflow/core/debug/debugger_event_metadata.pb.cc: bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. INFO: From ProtoCompile tensorflow/core/profiler/profile.pb.cc: bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. INFO: From Compiling tensorflow/core/profiler/internal/tfprof_timeline.cc: tensorflow/core/profiler/internal/tfprof_timeline.cc: In member function 'void tensorflow::tfprof::Timeline::AllocateLanes()': tensorflow/core/profiler/internal/tfprof_timeline.cc:332:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int64 i = 0; i < p->lanes.size(); ++i) { ~~^~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/core/kernels/padding_fifo_queue.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/framework/tensor.h:20, from tensorflow/core/kernels/padding_fifo_queue.cc:23: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ In file included from ./tensorflow/core/kernels/fifo_queue.h:26:0, from ./tensorflow/core/kernels/padding_fifo_queue.h:27, from tensorflow/core/kernels/padding_fifo_queue.cc:26: ./tensorflow/core/kernels/typed_queue.h:91:7: warning: 'tensorflow::int64 tensorflow::{anonymous}::SizeOf(const SubQueue&) [with SubQueue = std::vector]' defined but not used [-Wunused-function] int64 SizeOf(const std::vector& sq) { ^~~~~~ INFO: From ProtoCompile tensorflow/core/protobuf/worker.pb.cc: bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. [1,839 / 1,882] Compiling tensorflow/core/kernels/bias_op.cc; 38s local ... (2 actions running) INFO: From Compiling tensorflow/core/kernels/pooling_ops_3d.cc: In file included from ./tensorflow/core/kernels/eigen_pooling.h:20:0, from tensorflow/core/kernels/pooling_ops_3d.cc:29: ./tensorflow/core/kernels/eigen_volume_patch.h: In instantiation of 'const Index Eigen::CustomTensorEvaluator<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer>, Eigen::ThreadPoolDevice>::PacketSize': ./tensorflow/core/kernels/eigen_volume_patch.h:437:12: required from 'Eigen::TensorOpCost Eigen::CustomTensorEvaluator::costPerCoeff(bool) const [with long int Planes = -1; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:147:42: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with NewDimensions = const Eigen::DSizes; ArgType = const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h:676:46: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with Op = Eigen::internal::AvgPoolMeanReducer; Dims = const Eigen::IndexList >; ArgType = const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; MakePointer_ = Eigen::MakePointer; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:147:42: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with NewDimensions = const Eigen::DSizes; ArgType = const Eigen::TensorReductionOp, const Eigen::IndexList >, const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:160:49: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorReductionOp, const Eigen::IndexList >, const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorReductionOp, const Eigen::IndexList >, const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorReductionOp, const Eigen::IndexList >, const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' tensorflow/core/kernels/pooling_ops_3d.cc:108:71: required from 'static void tensorflow::LaunchPoolingOp::launch(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const std::array&, const std::array&, const std::array&, tensorflow::TensorFormat, tensorflow::Padding, tensorflow::Tensor*) [with T = float]' tensorflow/core/kernels/pooling_ops_3d.cc:194:45: required from 'void tensorflow::Pooling3DOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float; tensorflow::PoolingType Type = (tensorflow::PoolingType)1]' tensorflow/core/kernels/pooling_ops_3d.cc:842:1: required from here ./tensorflow/core/kernels/eigen_volume_patch.h:39:22: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(4) float}' [-Wignored-attributes] static const Index PacketSize = ^~~~~~~~~~ INFO: From Compiling tensorflow/core/kernels/captured_function.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/common_runtime/device.h:35, from ./tensorflow/core/common_runtime/function.h:22, from ./tensorflow/core/kernels/captured_function.h:21, from tensorflow/core/kernels/captured_function.cc:15: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/kernels/training_op_helpers.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/framework/op_kernel.h:23, from ./tensorflow/core/kernels/training_op_helpers.h:19, from tensorflow/core/kernels/training_op_helpers.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ In file included from ./tensorflow/core/kernels/training_op_helpers.h:21:0, from tensorflow/core/kernels/training_op_helpers.cc:16: ./tensorflow/core/kernels/variable_ops.h: In function 'tensorflow::mutex* tensorflow::GetTrainingVariableMutex(tensorflow::OpKernelContext*, int)': ./tensorflow/core/kernels/variable_ops.h:34:25: warning: 'var' may be used uninitialized in this function [-Wmaybe-uninitialized] mutex* mu() { return &mu_; } ^~~ tensorflow/core/kernels/training_op_helpers.cc:22:10: note: 'var' was declared here Var* var; ^~~ [1,944 / 1,987] Compiling tensorflow/core/kernels/sparse_concat_op.cc; 2s local ... (2 actions running) INFO: From Compiling tensorflow/python/grappler/model_analyzer.cc: tensorflow/python/grappler/model_analyzer.cc: In member function 'void tensorflow::grappler::ModelAnalyzer::PrintNodeInfo(const tensorflow::NodeDef*, const tensorflow::grappler::GraphProperties&, std::ostream&) const': tensorflow/python/grappler/model_analyzer.cc:49:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < props.size(); ++i) { ~~^~~~~~~~~~~~~~ INFO: From Compiling tensorflow/core/ops/nn_grad.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/lib/core/errors.h:19, from ./tensorflow/core/framework/tensor_shape.h:23, from ./tensorflow/core/framework/partial_tensor_shape.h:20, from ./tensorflow/core/framework/attr_value_util.h:23, from ./tensorflow/core/framework/function.h:21, from tensorflow/core/ops/nn_grad.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/kernels/skip_dataset_op.cc: tensorflow/core/kernels/skip_dataset_op.cc: In member function 'virtual void tensorflow::{anonymous}::SkipDatasetOp::MakeDataset(tensorflow::OpKernelContext*, tensorflow::DatasetBase*, tensorflow::DatasetBase**)': tensorflow/core/kernels/skip_dataset_op.cc:45:38: warning: 'count' may be used uninitialized in this function [-Wmaybe-uninitialized] : count_(count), input_(input) { ^ tensorflow/core/kernels/skip_dataset_op.cc:35:11: note: 'count' was declared here int64 count; ^~~~~ INFO: From Compiling tensorflow/core/kernels/mirror_pad_op_cpu_impl_5.cc: In file included from ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:22:0, from tensorflow/core/kernels/mirror_pad_op_cpu_impl_5.cc:17: ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with PaddingDimensions = Eigen::array, 5>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:160:49: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = int; int Dims = 5; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:238:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) long long int}' [-Wignored-attributes] constexpr int kPacketSize = ^~~~~~~~~~~ ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with PaddingDimensions = Eigen::array, 5>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:160:49: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = float; int Dims = 5; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:238:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(4) float}' [-Wignored-attributes] ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with PaddingDimensions = Eigen::array, 5>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:160:49: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = double; int Dims = 5; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:238:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) double}' [-Wignored-attributes] ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorEvaluator, Device>::PacketReturnType Eigen::TensorEvaluator, Device>::packet(Eigen::TensorEvaluator, Device>::Index) const [with int LoadMode = 0; PaddingDimensions = Eigen::array, 5>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::PacketReturnType = __vector(2) long long int; Eigen::TensorEvaluator, Device>::Index = int]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:142:5: required from 'void Eigen::TensorEvaluator, Device>::evalPacket(Eigen::TensorEvaluator, Device>::Index) [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:118:11: required from 'static void Eigen::internal::EvalRange::run(Evaluator*, Index, Index) [with Evaluator = Eigen::TensorEvaluator, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:157:74: required from 'Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&)::::Index, Eigen::internal::TensorExecutor::Index)> [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true; Eigen::internal::TensorExecutor::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:156:28: required from 'struct Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]::, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index, Eigen::internal::TensorExecutor, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index)>' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = int; int Dims = 5; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:180:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) long long int}' [-Wignored-attributes] constexpr int kPacketSize = ^~~~~~~~~~~ ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorEvaluator, Device>::PacketReturnType Eigen::TensorEvaluator, Device>::packet(Eigen::TensorEvaluator, Device>::Index) const [with int LoadMode = 0; PaddingDimensions = Eigen::array, 5>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::PacketReturnType = __vector(4) float; Eigen::TensorEvaluator, Device>::Index = int]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:142:5: required from 'void Eigen::TensorEvaluator, Device>::evalPacket(Eigen::TensorEvaluator, Device>::Index) [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:118:11: required from 'static void Eigen::internal::EvalRange::run(Evaluator*, Index, Index) [with Evaluator = Eigen::TensorEvaluator, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:157:74: required from 'Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&)::::Index, Eigen::internal::TensorExecutor::Index)> [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true; Eigen::internal::TensorExecutor::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:156:28: required from 'struct Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]::, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index, Eigen::internal::TensorExecutor, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index)>' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = float; int Dims = 5; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:180:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(4) float}' [-Wignored-attributes] ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorEvaluator, Device>::PacketReturnType Eigen::TensorEvaluator, Device>::packet(Eigen::TensorEvaluator, Device>::Index) const [with int LoadMode = 0; PaddingDimensions = Eigen::array, 5>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::PacketReturnType = __vector(2) double; Eigen::TensorEvaluator, Device>::Index = int]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:142:5: required from 'void Eigen::TensorEvaluator, Device>::evalPacket(Eigen::TensorEvaluator, Device>::Index) [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:118:11: required from 'static void Eigen::internal::EvalRange::run(Evaluator*, Index, Index) [with Evaluator = Eigen::TensorEvaluator, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:157:74: required from 'Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&)::::Index, Eigen::internal::TensorExecutor::Index)> [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true; Eigen::internal::TensorExecutor::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:156:28: required from 'struct Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]::, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index, Eigen::internal::TensorExecutor, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index)>' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 5>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = double; int Dims = 5; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:180:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) double}' [-Wignored-attributes] INFO: From Compiling tensorflow/core/kernels/mirror_pad_op_cpu_impl_2.cc: In file included from ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:22:0, from tensorflow/core/kernels/mirror_pad_op_cpu_impl_2.cc:17: ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with PaddingDimensions = Eigen::array, 2>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:160:49: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = int; int Dims = 2; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:238:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) long long int}' [-Wignored-attributes] constexpr int kPacketSize = ^~~~~~~~~~~ ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with PaddingDimensions = Eigen::array, 2>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:160:49: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = float; int Dims = 2; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:238:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(4) float}' [-Wignored-attributes] ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with PaddingDimensions = Eigen::array, 2>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:160:49: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = double; int Dims = 2; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:238:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) double}' [-Wignored-attributes] ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorEvaluator, Device>::PacketReturnType Eigen::TensorEvaluator, Device>::packet(Eigen::TensorEvaluator, Device>::Index) const [with int LoadMode = 0; PaddingDimensions = Eigen::array, 2>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::PacketReturnType = __vector(2) long long int; Eigen::TensorEvaluator, Device>::Index = int]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:142:5: required from 'void Eigen::TensorEvaluator, Device>::evalPacket(Eigen::TensorEvaluator, Device>::Index) [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:118:11: required from 'static void Eigen::internal::EvalRange::run(Evaluator*, Index, Index) [with Evaluator = Eigen::TensorEvaluator, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:157:74: required from 'Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&)::::Index, Eigen::internal::TensorExecutor::Index)> [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true; Eigen::internal::TensorExecutor::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:156:28: required from 'struct Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]::, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index, Eigen::internal::TensorExecutor, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index)>' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = int; int Dims = 2; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:180:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) long long int}' [-Wignored-attributes] constexpr int kPacketSize = ^~~~~~~~~~~ ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorEvaluator, Device>::PacketReturnType Eigen::TensorEvaluator, Device>::packet(Eigen::TensorEvaluator, Device>::Index) const [with int LoadMode = 0; PaddingDimensions = Eigen::array, 2>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::PacketReturnType = __vector(4) float; Eigen::TensorEvaluator, Device>::Index = int]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:142:5: required from 'void Eigen::TensorEvaluator, Device>::evalPacket(Eigen::TensorEvaluator, Device>::Index) [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:118:11: required from 'static void Eigen::internal::EvalRange::run(Evaluator*, Index, Index) [with Evaluator = Eigen::TensorEvaluator, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:157:74: required from 'Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&)::::Index, Eigen::internal::TensorExecutor::Index)> [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true; Eigen::internal::TensorExecutor::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:156:28: required from 'struct Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]::, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index, Eigen::internal::TensorExecutor, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index)>' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = float; int Dims = 2; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:180:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(4) float}' [-Wignored-attributes] ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorEvaluator, Device>::PacketReturnType Eigen::TensorEvaluator, Device>::packet(Eigen::TensorEvaluator, Device>::Index) const [with int LoadMode = 0; PaddingDimensions = Eigen::array, 2>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::PacketReturnType = __vector(2) double; Eigen::TensorEvaluator, Device>::Index = int]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:142:5: required from 'void Eigen::TensorEvaluator, Device>::evalPacket(Eigen::TensorEvaluator, Device>::Index) [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:118:11: required from 'static void Eigen::internal::EvalRange::run(Evaluator*, Index, Index) [with Evaluator = Eigen::TensorEvaluator, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:157:74: required from 'Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&)::::Index, Eigen::internal::TensorExecutor::Index)> [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true; Eigen::internal::TensorExecutor::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:156:28: required from 'struct Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]::, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index, Eigen::internal::TensorExecutor, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index)>' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 2>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = double; int Dims = 2; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:180:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) double}' [-Wignored-attributes] INFO: From Compiling tensorflow/core/grappler/optimizers/arithmetic_optimizer.cc: tensorflow/core/grappler/optimizers/arithmetic_optimizer.cc:329:3: warning: multi-line comment [-Wcomment] // / \ ^ tensorflow/core/grappler/optimizers/arithmetic_optimizer.cc:333:3: warning: multi-line comment [-Wcomment] // / \ ^ tensorflow/core/grappler/optimizers/arithmetic_optimizer.cc:339:3: warning: multi-line comment [-Wcomment] // / \ ^ tensorflow/core/grappler/optimizers/arithmetic_optimizer.cc:341:3: warning: multi-line comment [-Wcomment] // | / \ ^ tensorflow/core/grappler/optimizers/arithmetic_optimizer.cc: In function 'bool tensorflow::grappler::AreInversePermutations(tensorflow::gtl::ArraySlice, tensorflow::gtl::ArraySlice)': tensorflow/core/grappler/optimizers/arithmetic_optimizer.cc:224:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < a.size(); ++i) { ~~^~~~~~~~~~ INFO: From Compiling tensorflow/core/grappler/costs/virtual_scheduler.cc: tensorflow/core/grappler/costs/virtual_scheduler.cc: In member function 'tensorflow::Status tensorflow::grappler::VirtualScheduler::Init()': tensorflow/core/grappler/costs/virtual_scheduler.cc:230:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] port_num < curr_node_state.output_properties.size(); ++port_num) { ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ tensorflow/core/grappler/costs/virtual_scheduler.cc: In member function 'tensorflow::int64 tensorflow::grappler::VirtualScheduler::CalculateOutputSize(const std::vector&, int) const': tensorflow/core/grappler/costs/virtual_scheduler.cc:461:16: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (port_num >= output_properties.size()) { ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ tensorflow/core/grappler/costs/virtual_scheduler.cc: In member function 'bool tensorflow::grappler::VirtualScheduler::MarkCurrNodeExecuted(const tensorflow::grappler::Costs&)': tensorflow/core/grappler/costs/virtual_scheduler.cc:561:41: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (output_state.num_inputs_ready == output_state.inputs.size() || ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ tensorflow/core/grappler/costs/virtual_scheduler.cc:576:48: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (input_state.num_outputs_executed[port] == tensorflow/core/grappler/costs/virtual_scheduler.cc: In member function 'tensorflow::grappler::Costs tensorflow::grappler::VirtualScheduler::Summary(tensorflow::RunMetadata*)': tensorflow/core/grappler/costs/virtual_scheduler.cc:712:33: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int slot = 0; slot < nodestate.output_properties.size(); slot++) { ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ INFO: From ProtoCompile tensorflow/core/protobuf/master.pb.cc: bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. INFO: From ProtoCompile tensorflow/core/debug/debug_service.pb.cc: bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. INFO: From Compiling tensorflow/core/distributed_runtime/worker_session.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/common_runtime/device.h:35, from ./tensorflow/core/common_runtime/device_mgr.h:24, from ./tensorflow/core/distributed_runtime/worker_session.h:21, from tensorflow/core/distributed_runtime/worker_session.cc:15: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/kernels/conv_grad_ops_3d.cc: In file included from ./tensorflow/core/kernels/eigen_cuboid_convolution.h:20:0, from ./tensorflow/core/kernels/conv_3d.h:22, from tensorflow/core/kernels/conv_grad_ops_3d.cc:19: ./tensorflow/core/kernels/eigen_volume_patch.h: In instantiation of 'const Index Eigen::CustomTensorEvaluator<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer>, Eigen::ThreadPoolDevice>::PacketSize': ./tensorflow/core/kernels/eigen_volume_patch.h:437:12: required from 'Eigen::TensorOpCost Eigen::CustomTensorEvaluator::costPerCoeff(bool) const [with long int Planes = -1; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:147:42: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with NewDimensions = const Eigen::DSizes; ArgType = const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1057:65: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::contractionCost(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, bool, bool) const [with Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index = long int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:223:24: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = double]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:415:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = double]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:129:62: required from 'bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(Eigen::TensorEvaluator, Device>::Scalar*) [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::Scalar = double]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_3d.h:40:22: required from 'void tensorflow::functor::CuboidConvolution::operator()(const CPUDevice&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, const Eigen::PaddingType&) [with T = double; tensorflow::functor::CPUDevice = Eigen::ThreadPoolDevice; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_ops_3d.cc:357:44: required from 'void tensorflow::Conv3DBackpropFilterOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = double]' tensorflow/core/kernels/conv_grad_ops_3d.cc:1119:1: required from here ./tensorflow/core/kernels/eigen_volume_patch.h:39:22: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) double}' [-Wignored-attributes] static const Index PacketSize = ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_volume_patch.h: In instantiation of 'const Index Eigen::CustomTensorEvaluator<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer>, Eigen::ThreadPoolDevice>::PacketSize': ./tensorflow/core/kernels/eigen_volume_patch.h:437:12: required from 'Eigen::TensorOpCost Eigen::CustomTensorEvaluator::costPerCoeff(bool) const [with long int Planes = -1; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:147:42: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with NewDimensions = const Eigen::DSizes; ArgType = const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1057:65: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::contractionCost(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, bool, bool) const [with Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index = long int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:223:24: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:415:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:129:62: required from 'bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(Eigen::TensorEvaluator, Device>::Scalar*) [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_3d.h:40:22: required from 'void tensorflow::functor::CuboidConvolution::operator()(const CPUDevice&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, const Eigen::PaddingType&) [with T = float; tensorflow::functor::CPUDevice = Eigen::ThreadPoolDevice; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_ops_3d.cc:357:44: required from 'void tensorflow::Conv3DBackpropFilterOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_ops_3d.cc:1119:1: required from here ./tensorflow/core/kernels/eigen_volume_patch.h:39:22: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(4) float}' [-Wignored-attributes] INFO: From Compiling tensorflow/core/grappler/grappler_item_builder.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/framework/tensor.h:20, from ./tensorflow/core/grappler/grappler_item.h:26, from ./tensorflow/core/grappler/grappler_item_builder.h:21, from tensorflow/core/grappler/grappler_item_builder.cc:15: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/c/python_api.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/common_runtime/device.h:35, from ./tensorflow/core/common_runtime/graph_runner.h:23, from ./tensorflow/core/common_runtime/shape_refiner.h:20, from ./tensorflow/c/c_api_internal.h:25, from tensorflow/c/python_api.cc:18: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/distributed_runtime/cluster_function_library_runtime.cc: In file included from ./tensorflow/core/distributed_runtime/call_options.h:21:0, from ./tensorflow/core/distributed_runtime/worker_interface.h:21, from ./tensorflow/core/distributed_runtime/cluster_function_library_runtime.h:18, from tensorflow/core/distributed_runtime/cluster_function_library_runtime.cc:15: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/python/lib/core/ndarray_tensor.cc: tensorflow/python/lib/core/ndarray_tensor.cc: In function 'tensorflow::Status tensorflow::{anonymous}::CopyTF_TensorStringsToPyArray(const TF_Tensor*, tensorflow::uint64, PyArrayObject*)': tensorflow/python/lib/core/ndarray_tensor.cc:225:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int64 i = 0; i < nelems; ++i) { ~~^~~~~~~~ INFO: From Compiling tensorflow/core/grappler/costs/measuring_cost_estimator.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/framework/tensor.h:20, from ./tensorflow/core/grappler/costs/measuring_cost_estimator.h:23, from tensorflow/core/grappler/costs/measuring_cost_estimator.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/cc/gradients/math_grad.cc: In file included from bazel-out/k8-py3-opt/genfiles/tensorflow/cc/ops/array_ops_internal.h:8:0, from tensorflow/cc/gradients/math_grad.cc:19: ./tensorflow/cc/framework/ops.h: In instantiation of 'tensorflow::Input::Initializer::Initializer(const std::initializer_list<_Tp>&, const tensorflow::TensorShape&) [with T = int; = void]': bazel-out/k8-py3-opt/genfiles/tensorflow/cc/ops/logging_ops.h:217:70: required from here ./tensorflow/cc/framework/ops.h:153:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (t.NumElements() != v.size()) { INFO: From Compiling tensorflow/core/grappler/optimizers/constant_folding.cc: tensorflow/core/grappler/optimizers/constant_folding.cc: In member function 'tensorflow::Status tensorflow::grappler::ConstantFolding::FoldNode(tensorflow::NodeDef*, tensorflow::GraphDef*)': tensorflow/core/grappler/optimizers/constant_folding.cc:566:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < const_nodes.size(); i++) { ~~^~~~~~~~~~~~~~~~~~~~ tensorflow/core/grappler/optimizers/constant_folding.cc:644:31: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] } else if (position < const_nodes.size() && ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/framework/tensor.h:20, from ./tensorflow/core/framework/device_base.h:23, from ./tensorflow/core/grappler/optimizers/constant_folding.h:19, from tensorflow/core/grappler/optimizers/constant_folding.cc:18: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ [2,059 / 2,102] Compiling tensorflow/core/kernels/sparse_xent_op.cc; 7s local ... (2 actions running) INFO: From Compiling tensorflow/core/kernels/fifo_queue.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/framework/tensor.h:20, from tensorflow/core/kernels/fifo_queue.cc:23: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ In file included from ./tensorflow/core/kernels/fifo_queue.h:26:0, from tensorflow/core/kernels/fifo_queue.cc:26: ./tensorflow/core/kernels/typed_queue.h:91:7: warning: 'tensorflow::int64 tensorflow::{anonymous}::SizeOf(const SubQueue&) [with SubQueue = std::vector]' defined but not used [-Wunused-function] int64 SizeOf(const std::vector& sq) { ^~~~~~ INFO: From Compiling tensorflow/core/distributed_runtime/rpc/grpc_worker_service.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/lib/core/errors.h:19, from ./tensorflow/core/framework/tensor_shape.h:23, from ./tensorflow/core/framework/partial_tensor_shape.h:20, from ./tensorflow/core/framework/attr_value_util.h:23, from ./tensorflow/core/framework/function.h:21, from ./tensorflow/core/graph/graph.h:43, from ./tensorflow/core/graph/costmodel.h:25, from ./tensorflow/core/common_runtime/costmodel_manager.h:22, from ./tensorflow/core/distributed_runtime/graph_mgr.h:22, from ./tensorflow/core/distributed_runtime/worker.h:21, from ./tensorflow/core/distributed_runtime/rpc/grpc_worker_service.h:19, from tensorflow/core/distributed_runtime/rpc/grpc_worker_service.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/profiler/internal/tfprof_op.cc: In file included from ./tensorflow/core/profiler/internal/tfprof_show.h:33:0, from ./tensorflow/core/profiler/internal/tfprof_show_multi.h:33, from ./tensorflow/core/profiler/internal/tfprof_op.h:33, from tensorflow/core/profiler/internal/tfprof_op.cc:16: ./tensorflow/core/profiler/internal/tfprof_tensor.h: In member function 'bool tensorflow::tfprof::TFProfTensor::AddValue(const T&, tensorflow::tfprof::TFProfTensorProto*)': ./tensorflow/core/profiler/internal/tfprof_tensor.h:79:3: warning: no return statement in function returning non-void [-Wreturn-type] } ^ In file included from tensorflow/core/profiler/internal/tfprof_op.cc:16:0: ./tensorflow/core/profiler/internal/tfprof_op.h: In member function 'virtual bool tensorflow::tfprof::TFOp::ShouldShowIfExtra(const tensorflow::tfprof::ShowMultiNode*, const tensorflow::tfprof::Options&, int) const': ./tensorflow/core/profiler/internal/tfprof_op.h:61:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (opts.min_occurrence > node->node->graph_nodes().size()) { ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ tensorflow/core/profiler/internal/tfprof_op.cc: In member function 'virtual const tensorflow::tfprof::ShowMultiNode* tensorflow::tfprof::TFOp::ShowInternal(const tensorflow::tfprof::Options&, tensorflow::tfprof::Timeline*)': tensorflow/core/profiler/internal/tfprof_op.cc:153:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int64 i = start; i < account_nodes.size(); ++i, ++depth) { ~~^~~~~~~~~~~~~~~~~~~~~~ tensorflow/core/profiler/internal/tfprof_op.cc: In member function 'tensorflow::int64 tensorflow::tfprof::TFOp::SearchRoot(std::vector, const std::vector >&)': tensorflow/core/profiler/internal/tfprof_op.cc:204:12: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (; i < nodes.size(); ++i) { ~~^~~~~~~~~~~~~~ INFO: From Compiling tensorflow/core/kernels/window_dataset.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/lib/core/errors.h:19, from ./tensorflow/core/framework/tensor_shape.h:23, from ./tensorflow/core/framework/partial_tensor_shape.h:20, from ./tensorflow/core/kernels/window_dataset.h:20, from tensorflow/core/kernels/window_dataset.cc:15: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/distributed_runtime/worker.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/lib/core/errors.h:19, from ./tensorflow/core/framework/tensor_shape.h:23, from ./tensorflow/core/framework/partial_tensor_shape.h:20, from ./tensorflow/core/framework/attr_value_util.h:23, from ./tensorflow/core/framework/function.h:21, from ./tensorflow/core/graph/graph.h:43, from ./tensorflow/core/graph/costmodel.h:25, from ./tensorflow/core/common_runtime/costmodel_manager.h:22, from ./tensorflow/core/distributed_runtime/graph_mgr.h:22, from ./tensorflow/core/distributed_runtime/worker.h:21, from tensorflow/core/distributed_runtime/worker.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/lib/core/errors.h:19, from ./tensorflow/core/platform/env.h:24, from ./tensorflow/core/lib/core/threadpool.h:21, from ./tensorflow/core/common_runtime/process_util.h:21, from ./tensorflow/core/distributed_runtime/rpc/grpc_server_lib.h:24, from tensorflow/core/distributed_runtime/rpc/grpc_server_lib.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/kernels/hexagon/hexagon_rewriter_transform.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/types.h:33, from ./tensorflow/core/kernels/hexagon/graph_transfer_utils.h:25, from tensorflow/core/kernels/hexagon/hexagon_rewriter_transform.cc:34: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/kernels/dataset.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/lib/core/errors.h:19, from ./tensorflow/core/framework/tensor_shape.h:23, from ./tensorflow/core/framework/partial_tensor_shape.h:20, from ./tensorflow/core/framework/attr_value_util.h:23, from ./tensorflow/core/framework/node_def_util.h:23, from ./tensorflow/core/framework/shape_inference.h:20, from ./tensorflow/core/framework/common_shape_fns.h:20, from ./tensorflow/core/framework/resource_mgr.h:24, from ./tensorflow/core/kernels/dataset.h:22, from tensorflow/core/kernels/dataset.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/c/tf_status_helper.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/c/tf_status_helper.h:20, from tensorflow/c/tf_status_helper.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/kernels/reader_dataset_ops.cc: In file included from ./tensorflow/core/framework/tensor_shape.h:23:0, from ./tensorflow/core/framework/partial_tensor_shape.h:20, from ./tensorflow/core/framework/attr_value_util.h:23, from ./tensorflow/core/framework/node_def_util.h:23, from ./tensorflow/core/framework/shape_inference.h:20, from ./tensorflow/core/framework/common_shape_fns.h:20, from ./tensorflow/core/framework/resource_mgr.h:24, from ./tensorflow/core/kernels/dataset.h:22, from tensorflow/core/kernels/reader_dataset_ops.cc:15: ./tensorflow/core/lib/core/errors.h: In member function 'virtual tensorflow::Status tensorflow::{anonymous}::FixedLengthRecordDatasetOp::Dataset::Iterator::RestoreInternal(tensorflow::OpKernelContext*, tensorflow::IteratorBase::IteratorBundleReader*)': ./tensorflow/core/lib/core/errors.h:42:54: warning: 'current_pos' may be used uninitialized in this function [-Wmaybe-uninitialized] const ::tensorflow::Status _status = (__VA_ARGS__); \ ^ tensorflow/core/kernels/reader_dataset_ops.cc:381:15: note: 'current_pos' was declared here int64 current_pos; ^~~~~~~~~~~ tensorflow/core/kernels/reader_dataset_ops.cc:380:31: warning: 'current_file_index' may be used uninitialized in this function [-Wmaybe-uninitialized] current_file_index_ = size_t(current_file_index); ^~~~~~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/core/distributed_runtime/master_session.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/common_runtime/device.h:35, from ./tensorflow/core/common_runtime/debugger_state_interface.h:21, from ./tensorflow/core/distributed_runtime/master_session.h:22, from tensorflow/core/distributed_runtime/master_session.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/distributed_runtime/rpc/grpc_master_service.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/common_runtime/device.h:35, from ./tensorflow/core/distributed_runtime/master.h:21, from tensorflow/core/distributed_runtime/rpc/grpc_master_service.cc:36: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/distributed_runtime/rpc/rpc_rendezvous_mgr.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/framework/control_flow.h:20, from ./tensorflow/core/framework/rendezvous.h:21, from ./tensorflow/core/distributed_runtime/rendezvous_mgr_interface.h:22, from ./tensorflow/core/distributed_runtime/base_rendezvous_mgr.h:22, from ./tensorflow/core/distributed_runtime/rpc/rpc_rendezvous_mgr.h:19, from tensorflow/core/distributed_runtime/rpc/rpc_rendezvous_mgr.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ [2,202 / 2,245] Compiling tensorflow/tools/graph_transforms/rename_attribute.cc; 3s local ... (2 actions running) INFO: From Compiling tensorflow/core/profiler/internal/tfprof_show_multi.cc: In file included from ./tensorflow/core/profiler/internal/tfprof_show.h:33:0, from ./tensorflow/core/profiler/internal/tfprof_show_multi.h:33, from tensorflow/core/profiler/internal/tfprof_show_multi.cc:16: ./tensorflow/core/profiler/internal/tfprof_tensor.h: In member function 'bool tensorflow::tfprof::TFProfTensor::AddValue(const T&, tensorflow::tfprof::TFProfTensorProto*)': ./tensorflow/core/profiler/internal/tfprof_tensor.h:79:3: warning: no return statement in function returning non-void [-Wreturn-type] } ^ INFO: From Compiling tensorflow/core/kernels/parallel_map_dataset_op.cc: tensorflow/core/kernels/parallel_map_dataset_op.cc: In member function 'virtual void tensorflow::{anonymous}::ParallelMapDatasetOp::MakeDataset(tensorflow::OpKernelContext*, tensorflow::DatasetBase*, tensorflow::DatasetBase**)': tensorflow/core/kernels/parallel_map_dataset_op.cc:81:50: warning: 'num_parallel_calls' may be used uninitialized in this function [-Wmaybe-uninitialized] captured_func_(std::move(captured_func)) { ^ tensorflow/core/kernels/parallel_map_dataset_op.cc:54:11: note: 'num_parallel_calls' was declared here int32 num_parallel_calls; ^~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/core/kernels/sdca_internal.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/framework/tensor.h:20, from ./tensorflow/core/framework/device_base.h:23, from ./tensorflow/core/kernels/sdca_internal.h:31, from tensorflow/core/kernels/sdca_internal.cc:18: ./tensorflow/core/platform/default/logging.h: In instantiation of 'std::__cxx11::string* tensorflow::internal::Check_LTImpl(const T1&, const T2&, const char*) [with T1 = long long int; T2 = long unsigned int; std::__cxx11::string = std::__cxx11::basic_string]': ./tensorflow/core/util/sparse/dim_comparator.h:56:7: required from here ./tensorflow/core/platform/default/logging.h:231:35: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] TF_DEFINE_CHECK_OP_IMPL(Check_LT, < ) ./tensorflow/core/platform/macros.h:79:29: note: in definition of macro 'TF_PREDICT_TRUE' #define TF_PREDICT_TRUE(x) (x) ^ ./tensorflow/core/platform/default/logging.h:231:1: note: in expansion of macro 'TF_DEFINE_CHECK_OP_IMPL' TF_DEFINE_CHECK_OP_IMPL(Check_LT, < ) ^~~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/core/grappler/optimizers/layout_optimizer.cc: tensorflow/core/grappler/optimizers/layout_optimizer.cc: In member function 'tensorflow::Status tensorflow::grappler::DataLayoutOptimizer::Expand()': tensorflow/core/grappler/optimizers/layout_optimizer.cc:1276:16: warning: variable 'n' set but not used [-Wunused-but-set-variable] NodeDef* n = AddNodePermNHWCToNCHW(); ^ INFO: From Compiling tensorflow/core/profiler/internal/tfprof_show.cc: In file included from ./tensorflow/core/profiler/internal/tfprof_show.h:33:0, from tensorflow/core/profiler/internal/tfprof_show.cc:16: ./tensorflow/core/profiler/internal/tfprof_tensor.h: In member function 'bool tensorflow::tfprof::TFProfTensor::AddValue(const T&, tensorflow::tfprof::TFProfTensorProto*)': ./tensorflow/core/profiler/internal/tfprof_tensor.h:79:3: warning: no return statement in function returning non-void [-Wreturn-type] } ^ INFO: From Compiling tensorflow/core/grappler/clusters/single_machine.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/cc/training/coordinator.h:26, from ./tensorflow/core/grappler/clusters/single_machine.h:19, from tensorflow/core/grappler/clusters/single_machine.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/kernels/neon/neon_depthwise_conv_op.cc: In file included from tensorflow/core/kernels/neon/neon_depthwise_conv_op.cc:30:0: ./tensorflow/core/kernels/neon/depthwiseconv_float.h: In instantiation of 'void tensorflow::neon::DepthwiseConv(const float*, const tensorflow::neon::Dims<4>&, const float*, const tensorflow::neon::Dims<4>&, const float*, const tensorflow::neon::Dims<4>&, int, int, int, int, float*, const tensorflow::neon::Dims<4>&) [with tensorflow::neon::FusedActivationFunctionType Ac = (tensorflow::neon::FusedActivationFunctionType)0]': tensorflow/core/kernels/neon/neon_depthwise_conv_op.cc:138:42: required from here ./tensorflow/core/kernels/neon/depthwiseconv_float.h:602:7: warning: variable 'fixed_input_depth' set but not used [-Wunused-but-set-variable] int fixed_input_depth = 0; ^~~~~~~~~~~~~~~~~ INFO: From ProtoCompile tensorflow/core/framework/op_gen_overrides.pb.cc: bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. INFO: From Compiling tensorflow/core/kernels/random_shuffle_queue_op.cc: In file included from tensorflow/core/kernels/random_shuffle_queue_op.cc:28:0: ./tensorflow/core/kernels/typed_queue.h:83:7: warning: 'tensorflow::int64 tensorflow::{anonymous}::SizeOf(const SubQueue&) [with SubQueue = std::deque]' defined but not used [-Wunused-function] int64 SizeOf(const std::deque& sq) { ^~~~~~ INFO: From Compiling tensorflow/core/profiler/internal/tfprof_scope.cc: In file included from ./tensorflow/core/profiler/internal/tfprof_show.h:33:0, from ./tensorflow/core/profiler/internal/tfprof_scope.h:33, from tensorflow/core/profiler/internal/tfprof_scope.cc:16: ./tensorflow/core/profiler/internal/tfprof_tensor.h: In member function 'bool tensorflow::tfprof::TFProfTensor::AddValue(const T&, tensorflow::tfprof::TFProfTensorProto*)': ./tensorflow/core/profiler/internal/tfprof_tensor.h:79:3: warning: no return statement in function returning non-void [-Wreturn-type] } ^ INFO: From Compiling tensorflow/core/kernels/priority_queue.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/framework/tensor.h:20, from tensorflow/core/kernels/priority_queue.cc:22: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ In file included from ./tensorflow/core/kernels/priority_queue.h:27:0, from tensorflow/core/kernels/priority_queue.cc:25: ./tensorflow/core/kernels/typed_queue.h:91:7: warning: 'tensorflow::int64 tensorflow::{anonymous}::SizeOf(const SubQueue&) [with SubQueue = std::vector]' defined but not used [-Wunused-function] int64 SizeOf(const std::vector& sq) { ^~~~~~ ./tensorflow/core/kernels/typed_queue.h:83:7: warning: 'tensorflow::int64 tensorflow::{anonymous}::SizeOf(const SubQueue&) [with SubQueue = std::deque]' defined but not used [-Wunused-function] int64 SizeOf(const std::deque& sq) { ^~~~~~ [2,369 / 2,412] Compiling tensorflow/core/kernels/svd_op_float.cc; 8s local ... (2 actions running) INFO: From Compiling tensorflow/core/kernels/repeat_dataset_op.cc: tensorflow/core/kernels/repeat_dataset_op.cc: In member function 'virtual void tensorflow::{anonymous}::RepeatDatasetOp::MakeDataset(tensorflow::OpKernelContext*, tensorflow::DatasetBase*, tensorflow::DatasetBase**)': tensorflow/core/kernels/repeat_dataset_op.cc:46:61: warning: 'count' may be used uninitialized in this function [-Wmaybe-uninitialized] : GraphDatasetBase(ctx), count_(count), input_(input) { ^ tensorflow/core/kernels/repeat_dataset_op.cc:37:11: note: 'count' was declared here int64 count; ^~~~~ INFO: From Compiling tensorflow/core/distributed_runtime/graph_mgr.cc: tensorflow/core/distributed_runtime/graph_mgr.cc: In lambda function: tensorflow/core/distributed_runtime/graph_mgr.cc:368:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < keys.size(); ++i) { ~~^~~~~~~~~~~~~ In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/lib/core/errors.h:19, from ./tensorflow/core/framework/tensor_shape.h:23, from ./tensorflow/core/framework/partial_tensor_shape.h:20, from ./tensorflow/core/framework/attr_value_util.h:23, from ./tensorflow/core/framework/function.h:21, from ./tensorflow/core/graph/graph.h:43, from ./tensorflow/core/graph/costmodel.h:25, from ./tensorflow/core/common_runtime/costmodel_manager.h:22, from ./tensorflow/core/distributed_runtime/graph_mgr.h:22, from tensorflow/core/distributed_runtime/graph_mgr.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/kernels/conv_grad_input_ops.cc: In file included from ./tensorflow/core/kernels/conv_2d.h:22:0, from tensorflow/core/kernels/conv_grad_input_ops.cc:32: ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, true, 0, Eigen::MakePointer>]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:415:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: required from 'bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(Eigen::TensorContractionEvaluatorBase::Scalar*) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:129:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_input_ops.cc:107:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:259:45: required from 'void tensorflow::Conv2DFastBackpropInputOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:1022:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:721:40: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:742:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:756:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, false, 0, Eigen::MakePointer>]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: required from 'bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(Eigen::TensorContractionEvaluatorBase::Scalar*) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:129:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_input_ops.cc:107:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:259:45: required from 'void tensorflow::Conv2DFastBackpropInputOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:1022:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:721:40: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:742:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:756:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, true, 0, Eigen::MakePointer>]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:423:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: required from 'bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(Eigen::TensorContractionEvaluatorBase::Scalar*) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:129:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_input_ops.cc:107:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:259:45: required from 'void tensorflow::Conv2DFastBackpropInputOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:1022:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:721:40: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:742:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:756:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, false, 0, Eigen::MakePointer>]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:426:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: required from 'bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(Eigen::TensorContractionEvaluatorBase::Scalar*) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:129:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_input_ops.cc:107:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:259:45: required from 'void tensorflow::Conv2DFastBackpropInputOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:1022:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:721:40: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:742:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:756:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:535:65: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:743:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:415:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_input_ops.cc:107:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:259:45: required from 'void tensorflow::Conv2DFastBackpropInputOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:1022:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:363:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:415:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_input_ops.cc:107:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:259:45: required from 'void tensorflow::Conv2DFastBackpropInputOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:1022:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:312:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:535:65: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:743:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_input_ops.cc:107:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:259:45: required from 'void tensorflow::Conv2DFastBackpropInputOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:1022:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:363:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_input_ops.cc:107:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:259:45: required from 'void tensorflow::Conv2DFastBackpropInputOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:1022:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:312:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:535:65: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:743:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:423:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_input_ops.cc:107:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:259:45: required from 'void tensorflow::Conv2DFastBackpropInputOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:1022:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:363:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:423:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_input_ops.cc:107:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:259:45: required from 'void tensorflow::Conv2DFastBackpropInputOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:1022:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:312:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:535:65: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:743:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:426:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_input_ops.cc:107:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:259:45: required from 'void tensorflow::Conv2DFastBackpropInputOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:1022:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:363:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:426:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_input_ops.cc:107:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:259:45: required from 'void tensorflow::Conv2DFastBackpropInputOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:1022:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:312:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:356:34: required from 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:415:11: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_input_ops.cc:107:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:259:45: required from 'void tensorflow::Conv2DFastBackpropInputOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:1022:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:391:15: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const int packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:356:34: required from 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:11: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_input_ops.cc:107:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:259:45: required from 'void tensorflow::Conv2DFastBackpropInputOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:1022:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:391:15: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:356:34: required from 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:423:11: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_input_ops.cc:107:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:259:45: required from 'void tensorflow::Conv2DFastBackpropInputOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:1022:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:391:15: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:356:34: required from 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:426:11: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_input_ops.cc:107:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:259:45: required from 'void tensorflow::Conv2DFastBackpropInputOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_input_ops.cc:1022:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:391:15: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] INFO: From Compiling tensorflow/core/kernels/conv_ops_3d.cc: In file included from ./tensorflow/core/kernels/eigen_cuboid_convolution.h:20:0, from ./tensorflow/core/kernels/conv_3d.h:22, from tensorflow/core/kernels/conv_ops_3d.cc:20: ./tensorflow/core/kernels/eigen_volume_patch.h: In instantiation of 'const Index Eigen::CustomTensorEvaluator<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer>, Eigen::ThreadPoolDevice>::PacketSize': ./tensorflow/core/kernels/eigen_volume_patch.h:437:12: required from 'Eigen::TensorOpCost Eigen::CustomTensorEvaluator::costPerCoeff(bool) const [with long int Planes = -1; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:147:42: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with NewDimensions = const Eigen::DSizes; ArgType = const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1057:65: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::contractionCost(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, bool, bool) const [with Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index = long int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:223:24: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = double]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:415:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = double]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_3d.h:40:22: required from 'void tensorflow::functor::CuboidConvolution::operator()(const CPUDevice&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, const Eigen::PaddingType&) [with T = double; tensorflow::functor::CPUDevice = Eigen::ThreadPoolDevice; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops_3d.cc:58:47: required from 'static void tensorflow::LaunchConvOp::launch(tensorflow::OpKernelContext*, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, const std::array&, tensorflow::Padding, tensorflow::TensorFormat, tensorflow::Tensor*) [with T = double]' tensorflow/core/kernels/conv_ops_3d.cc:133:36: required from 'void tensorflow::Conv3DOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = double]' tensorflow/core/kernels/conv_ops_3d.cc:496:1: required from here ./tensorflow/core/kernels/eigen_volume_patch.h:39:22: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) double}' [-Wignored-attributes] static const Index PacketSize = ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_volume_patch.h: In instantiation of 'const Index Eigen::CustomTensorEvaluator<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer>, Eigen::ThreadPoolDevice>::PacketSize': ./tensorflow/core/kernels/eigen_volume_patch.h:437:12: required from 'Eigen::TensorOpCost Eigen::CustomTensorEvaluator::costPerCoeff(bool) const [with long int Planes = -1; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:147:42: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with NewDimensions = const Eigen::DSizes; ArgType = const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1057:65: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::contractionCost(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, bool, bool) const [with Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index = long int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:223:24: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:415:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorVolumePatchOp<-1, -1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_3d.h:40:22: required from 'void tensorflow::functor::CuboidConvolution::operator()(const CPUDevice&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, const Eigen::PaddingType&) [with T = float; tensorflow::functor::CPUDevice = Eigen::ThreadPoolDevice; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops_3d.cc:58:47: required from 'static void tensorflow::LaunchConvOp::launch(tensorflow::OpKernelContext*, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, const std::array&, tensorflow::Padding, tensorflow::TensorFormat, tensorflow::Tensor*) [with T = float]' tensorflow/core/kernels/conv_ops_3d.cc:133:36: required from 'void tensorflow::Conv3DOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_ops_3d.cc:496:1: required from here ./tensorflow/core/kernels/eigen_volume_patch.h:39:22: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(4) float}' [-Wignored-attributes] INFO: From Compiling tensorflow/core/kernels/fifo_queue_op.cc: In file included from ./tensorflow/core/kernels/fifo_queue.h:26:0, from tensorflow/core/kernels/fifo_queue_op.cc:26: ./tensorflow/core/kernels/typed_queue.h:91:7: warning: 'tensorflow::int64 tensorflow::{anonymous}::SizeOf(const SubQueue&) [with SubQueue = std::vector]' defined but not used [-Wunused-function] int64 SizeOf(const std::vector& sq) { ^~~~~~ INFO: From Compiling tensorflow/core/kernels/mirror_pad_op_cpu_impl_1.cc: In file included from ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:22:0, from tensorflow/core/kernels/mirror_pad_op_cpu_impl_1.cc:17: ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with PaddingDimensions = Eigen::array, 1>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:160:49: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = int; int Dims = 1; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:238:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) long long int}' [-Wignored-attributes] constexpr int kPacketSize = ^~~~~~~~~~~ ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with PaddingDimensions = Eigen::array, 1>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:160:49: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = float; int Dims = 1; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:238:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(4) float}' [-Wignored-attributes] ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with PaddingDimensions = Eigen::array, 1>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:160:49: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = double; int Dims = 1; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:238:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) double}' [-Wignored-attributes] ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorEvaluator, Device>::PacketReturnType Eigen::TensorEvaluator, Device>::packet(Eigen::TensorEvaluator, Device>::Index) const [with int LoadMode = 0; PaddingDimensions = Eigen::array, 1>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::PacketReturnType = __vector(2) long long int; Eigen::TensorEvaluator, Device>::Index = int]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:142:5: required from 'void Eigen::TensorEvaluator, Device>::evalPacket(Eigen::TensorEvaluator, Device>::Index) [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:118:11: required from 'static void Eigen::internal::EvalRange::run(Evaluator*, Index, Index) [with Evaluator = Eigen::TensorEvaluator, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:157:74: required from 'Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&)::::Index, Eigen::internal::TensorExecutor::Index)> [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true; Eigen::internal::TensorExecutor::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:156:28: required from 'struct Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]::, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index, Eigen::internal::TensorExecutor, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index)>' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = int; int Dims = 1; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:180:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) long long int}' [-Wignored-attributes] constexpr int kPacketSize = ^~~~~~~~~~~ ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorEvaluator, Device>::PacketReturnType Eigen::TensorEvaluator, Device>::packet(Eigen::TensorEvaluator, Device>::Index) const [with int LoadMode = 0; PaddingDimensions = Eigen::array, 1>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::PacketReturnType = __vector(4) float; Eigen::TensorEvaluator, Device>::Index = int]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:142:5: required from 'void Eigen::TensorEvaluator, Device>::evalPacket(Eigen::TensorEvaluator, Device>::Index) [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:118:11: required from 'static void Eigen::internal::EvalRange::run(Evaluator*, Index, Index) [with Evaluator = Eigen::TensorEvaluator, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:157:74: required from 'Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&)::::Index, Eigen::internal::TensorExecutor::Index)> [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true; Eigen::internal::TensorExecutor::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:156:28: required from 'struct Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]::, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index, Eigen::internal::TensorExecutor, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index)>' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = float; int Dims = 1; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:180:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(4) float}' [-Wignored-attributes] ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorEvaluator, Device>::PacketReturnType Eigen::TensorEvaluator, Device>::packet(Eigen::TensorEvaluator, Device>::Index) const [with int LoadMode = 0; PaddingDimensions = Eigen::array, 1>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::PacketReturnType = __vector(2) double; Eigen::TensorEvaluator, Device>::Index = int]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:142:5: required from 'void Eigen::TensorEvaluator, Device>::evalPacket(Eigen::TensorEvaluator, Device>::Index) [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:118:11: required from 'static void Eigen::internal::EvalRange::run(Evaluator*, Index, Index) [with Evaluator = Eigen::TensorEvaluator, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:157:74: required from 'Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&)::::Index, Eigen::internal::TensorExecutor::Index)> [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true; Eigen::internal::TensorExecutor::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:156:28: required from 'struct Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]::, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index, Eigen::internal::TensorExecutor, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index)>' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 1>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = double; int Dims = 1; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:180:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) double}' [-Wignored-attributes] INFO: From Compiling tensorflow/core/kernels/sloppy_interleave_dataset_op.cc: tensorflow/core/kernels/sloppy_interleave_dataset_op.cc: In member function 'virtual void tensorflow::{anonymous}::SloppyInterleaveDatasetOp::MakeDataset(tensorflow::OpKernelContext*, tensorflow::DatasetBase*, tensorflow::DatasetBase**)': tensorflow/core/kernels/sloppy_interleave_dataset_op.cc:86:39: warning: 'block_length' may be used uninitialized in this function [-Wmaybe-uninitialized] output_shapes_(output_shapes) { ^ tensorflow/core/kernels/sloppy_interleave_dataset_op.cc:59:11: note: 'block_length' was declared here int64 block_length; ^~~~~~~~~~~~ tensorflow/core/kernels/sloppy_interleave_dataset_op.cc:86:39: warning: 'cycle_length' may be used uninitialized in this function [-Wmaybe-uninitialized] output_shapes_(output_shapes) { ^ tensorflow/core/kernels/sloppy_interleave_dataset_op.cc:53:11: note: 'cycle_length' was declared here int64 cycle_length; ^~~~~~~~~~~~ INFO: From ProtoCompile tensorflow/python/framework/cpp_shape_inference.pb.cc: bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. INFO: From Compiling tensorflow/core/kernels/dataset_utils.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/framework/tensor.h:20, from ./tensorflow/core/kernels/dataset_utils.h:18, from tensorflow/core/kernels/dataset_utils.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/kernels/initializable_lookup_table.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/lib/core/errors.h:19, from ./tensorflow/core/framework/tensor_shape.h:23, from ./tensorflow/core/framework/partial_tensor_shape.h:20, from ./tensorflow/core/framework/attr_value_util.h:23, from ./tensorflow/core/framework/node_def_util.h:23, from ./tensorflow/core/framework/shape_inference.h:20, from ./tensorflow/core/framework/common_shape_fns.h:20, from ./tensorflow/core/framework/resource_mgr.h:24, from ./tensorflow/core/framework/lookup_interface.h:19, from ./tensorflow/core/kernels/initializable_lookup_table.h:19, from tensorflow/core/kernels/initializable_lookup_table.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/distributed_runtime/remote_device.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/distributed_runtime/remote_device.h:22, from tensorflow/core/distributed_runtime/remote_device.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ [2,484 / 2,527] Compiling tensorflow/core/kernels/cwise_op_sub.cc; 32s local ... (2 actions running) INFO: From Compiling tensorflow/core/kernels/range_sampler.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/kernels/range_sampler.h:21, from tensorflow/core/kernels/range_sampler.cc:16: ./tensorflow/core/platform/default/logging.h: In instantiation of 'std::__cxx11::string* tensorflow::internal::Check_LEImpl(const T1&, const T2&, const char*) [with T1 = long unsigned int; T2 = long long int; std::__cxx11::string = std::__cxx11::basic_string]': tensorflow/core/kernels/range_sampler.cc:86:5: required from here ./tensorflow/core/platform/default/logging.h:230:35: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] TF_DEFINE_CHECK_OP_IMPL(Check_LE, <= ) ./tensorflow/core/platform/macros.h:79:29: note: in definition of macro 'TF_PREDICT_TRUE' #define TF_PREDICT_TRUE(x) (x) ^ ./tensorflow/core/platform/default/logging.h:230:1: note: in expansion of macro 'TF_DEFINE_CHECK_OP_IMPL' TF_DEFINE_CHECK_OP_IMPL(Check_LE, <= ) ^~~~~~~~~~~~~~~~~~~~~~~ ./tensorflow/core/platform/default/logging.h: In instantiation of 'std::__cxx11::string* tensorflow::internal::Check_EQImpl(const T1&, const T2&, const char*) [with T1 = long long int; T2 = long unsigned int; std::__cxx11::string = std::__cxx11::basic_string]': tensorflow/core/kernels/range_sampler.cc:244:3: required from here ./tensorflow/core/platform/default/logging.h:228:25: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] == ) // Compilation error with CHECK_EQ(NULL, x)? ./tensorflow/core/platform/macros.h:79:29: note: in definition of macro 'TF_PREDICT_TRUE' #define TF_PREDICT_TRUE(x) (x) ^ ./tensorflow/core/platform/default/logging.h:227:1: note: in expansion of macro 'TF_DEFINE_CHECK_OP_IMPL' TF_DEFINE_CHECK_OP_IMPL(Check_EQ, ^~~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/python/eager/pywrap_tfe_src.cc: tensorflow/python/eager/pywrap_tfe_src.cc: In function 'void TFE_Py_Execute(TFE_Context*, const char*, const char*, TFE_InputTensorHandles*, PyObject*, TFE_OutputTensorHandles*, TF_Status*)': tensorflow/python/eager/pywrap_tfe_src.cc:337:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < inputs->size() && TF_GetCode(out_status) == TF_OK; ~~^~~~~~~~~~~~~~~~ tensorflow/python/eager/pywrap_tfe_src.cc: At global scope: tensorflow/python/eager/pywrap_tfe_src.cc:79:13: warning: 'const char* {anonymous}::ParseProtoValue(const string&, const char*, PyObject*, size_t*, TF_Status*)' defined but not used [-Wunused-function] const char* ParseProtoValue(const string& key, const char* proto_name, ^~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/cc/ops/while_loop.cc: tensorflow/cc/ops/while_loop.cc: In function 'std::vector tensorflow::ops::{anonymous}::ToOutputTensors(const std::vector&)': tensorflow/cc/ops/while_loop.cc:37:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < outputs.size(); ++i) { ~~^~~~~~~~~~~~~~~~ tensorflow/cc/ops/while_loop.cc: In function 'std::vector tensorflow::ops::{anonymous}::ToNodes(const std::vector&)': tensorflow/cc/ops/while_loop.cc:46:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < outputs.size(); ++i) { ~~^~~~~~~~~~~~~~~~ tensorflow/cc/ops/while_loop.cc: In function 'tensorflow::Status tensorflow::ops::BuildWhileLoop(const tensorflow::Scope&, const std::vector&, const CondGraphBuilderFn&, const BodyGraphBuilderFn&, const string&, tensorflow::OutputList*, bool, tensorflow::Output*)': tensorflow/cc/ops/while_loop.cc:185:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < num_loop_vars; ++i) { ~~^~~~~~~~~~~~~~~ tensorflow/cc/ops/while_loop.cc:191:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < num_loop_vars; ++i) { ~~^~~~~~~~~~~~~~~ tensorflow/cc/ops/while_loop.cc:202:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < num_loop_vars; ++i) { ~~^~~~~~~~~~~~~~~ tensorflow/cc/ops/while_loop.cc:213:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < num_loop_vars; ++i) { ~~^~~~~~~~~~~~~~~ tensorflow/cc/ops/while_loop.cc:220:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < num_loop_vars; ++i) { ~~^~~~~~~~~~~~~~~ tensorflow/cc/ops/while_loop.cc:228:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < num_loop_vars; ++i) { ~~^~~~~~~~~~~~~~~ tensorflow/cc/ops/while_loop.cc:242:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < num_loop_vars; ++i) { ~~^~~~~~~~~~~~~~~ In file included from ./tensorflow/cc/ops/while_loop.h:19:0, from tensorflow/cc/ops/while_loop.cc:16: ./tensorflow/cc/framework/ops.h: In instantiation of 'tensorflow::Input::Initializer::Initializer(const std::initializer_list<_Tp>&, const tensorflow::TensorShape&) [with T = int; = void]': bazel-out/k8-py3-opt/genfiles/tensorflow/cc/ops/logging_ops.h:217:70: required from here ./tensorflow/cc/framework/ops.h:153:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (t.NumElements() != v.size()) { In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/framework/tensor.h:20, from ./tensorflow/cc/framework/ops.h:21, from ./tensorflow/cc/ops/while_loop.h:19, from tensorflow/cc/ops/while_loop.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/kernels/priority_queue_op.cc: In file included from ./tensorflow/core/kernels/priority_queue.h:27:0, from tensorflow/core/kernels/priority_queue_op.cc:25: ./tensorflow/core/kernels/typed_queue.h:91:7: warning: 'tensorflow::int64 tensorflow::{anonymous}::SizeOf(const SubQueue&) [with SubQueue = std::vector]' defined but not used [-Wunused-function] int64 SizeOf(const std::vector& sq) { ^~~~~~ ./tensorflow/core/kernels/typed_queue.h:83:7: warning: 'tensorflow::int64 tensorflow::{anonymous}::SizeOf(const SubQueue&) [with SubQueue = std::deque]' defined but not used [-Wunused-function] int64 SizeOf(const std::deque& sq) { ^~~~~~ INFO: From Compiling tensorflow/core/profiler/internal/tfprof_stats.cc: In file included from ./tensorflow/core/profiler/internal/tfprof_show.h:33:0, from ./tensorflow/core/profiler/internal/tfprof_show_multi.h:33, from ./tensorflow/core/profiler/internal/tfprof_code.h:32, from ./tensorflow/core/profiler/internal/tfprof_stats.h:38, from tensorflow/core/profiler/internal/tfprof_stats.cc:16: ./tensorflow/core/profiler/internal/tfprof_tensor.h: In member function 'bool tensorflow::tfprof::TFProfTensor::AddValue(const T&, tensorflow::tfprof::TFProfTensorProto*)': ./tensorflow/core/profiler/internal/tfprof_tensor.h:79:3: warning: no return statement in function returning non-void [-Wreturn-type] } ^ In file included from ./tensorflow/core/profiler/internal/tfprof_stats.h:41:0, from tensorflow/core/profiler/internal/tfprof_stats.cc:16: ./tensorflow/core/profiler/internal/tfprof_op.h: In member function 'virtual bool tensorflow::tfprof::TFOp::ShouldShowIfExtra(const tensorflow::tfprof::ShowMultiNode*, const tensorflow::tfprof::Options&, int) const': ./tensorflow/core/profiler/internal/tfprof_op.h:61:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (opts.min_occurrence > node->node->graph_nodes().size()) { ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/core/distributed_runtime/rpc/grpc_session.cc: tensorflow/core/distributed_runtime/rpc/grpc_session.cc: In member function 'tensorflow::Status tensorflow::GrpcSession::RunHelper(const tensorflow::RunOptions&, const std::vector, tensorflow::Tensor> >&, const std::vector >&, const std::vector >&, std::vector*, tensorflow::RunMetadata*, const string&)': tensorflow/core/distributed_runtime/rpc/grpc_session.cc:196:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < output_tensor_names.size(); ++i) { ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ tensorflow/core/distributed_runtime/rpc/grpc_session.cc:229:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < output_tensor_names.size(); ++i) { ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/cc/gradients/array_grad.cc: In file included from bazel-out/k8-py3-opt/genfiles/tensorflow/cc/ops/array_ops_internal.h:8:0, from tensorflow/cc/gradients/array_grad.cc:18: ./tensorflow/cc/framework/ops.h: In instantiation of 'tensorflow::Input::Initializer::Initializer(const std::initializer_list<_Tp>&, const tensorflow::TensorShape&) [with T = int; = void]': bazel-out/k8-py3-opt/genfiles/tensorflow/cc/ops/logging_ops.h:217:70: required from here ./tensorflow/cc/framework/ops.h:153:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (t.NumElements() != v.size()) { INFO: From Compiling tensorflow/core/kernels/padding_fifo_queue_op.cc: In file included from ./tensorflow/core/kernels/fifo_queue.h:26:0, from ./tensorflow/core/kernels/padding_fifo_queue.h:27, from tensorflow/core/kernels/padding_fifo_queue_op.cc:27: ./tensorflow/core/kernels/typed_queue.h:91:7: warning: 'tensorflow::int64 tensorflow::{anonymous}::SizeOf(const SubQueue&) [with SubQueue = std::vector]' defined but not used [-Wunused-function] int64 SizeOf(const std::vector& sq) { ^~~~~~ INFO: From Compiling tensorflow/tools/graph_transforms/quantize_nodes.cc: tensorflow/tools/graph_transforms/quantize_nodes.cc:186:6: warning: 'bool tensorflow::graph_transforms::{anonymous}::AreAttrsEqual(const tensorflow::NodeDef*, const tensorflow::NodeDef*)' defined but not used [-Wunused-function] bool AreAttrsEqual(const NodeDef* current_node, const NodeDef* other_node) { ^~~~~~~~~~~~~ INFO: From Compiling tensorflow/core/distributed_runtime/master.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/common_runtime/device.h:35, from ./tensorflow/core/distributed_runtime/master.h:21, from tensorflow/core/distributed_runtime/master.cc:32: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/kernels/lookup_util.cc: tensorflow/core/kernels/lookup_util.cc: In member function 'virtual void tensorflow::lookup::{anonymous}::TextFileLineIterator::Next()': tensorflow/core/kernels/lookup_util.cc:134:46: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (std::max(key_index_, value_index_) >= tokens.size()) { ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/lib/core/errors.h:19, from ./tensorflow/core/framework/tensor_shape.h:23, from ./tensorflow/core/framework/partial_tensor_shape.h:20, from ./tensorflow/core/framework/attr_value_util.h:23, from ./tensorflow/core/framework/node_def_util.h:23, from ./tensorflow/core/framework/shape_inference.h:20, from ./tensorflow/core/framework/common_shape_fns.h:20, from ./tensorflow/core/framework/resource_mgr.h:24, from ./tensorflow/core/framework/lookup_interface.h:19, from ./tensorflow/core/kernels/lookup_util.h:19, from tensorflow/core/kernels/lookup_util.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/distributed_runtime/rpc/grpc_util.cc: tensorflow/core/distributed_runtime/rpc/grpc_util.cc: In member function 'virtual bool tensorflow::GrpcByteBufferSource::Next(const void**, int*)': tensorflow/core/distributed_runtime/rpc/grpc_util.cc:39:14: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (cur_ >= slices_.size()) { ~~~~~^~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/core/kernels/hexagon/graph_transferer.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/common_runtime/device.h:35, from ./tensorflow/core/common_runtime/graph_runner.h:23, from ./tensorflow/core/common_runtime/shape_refiner.h:20, from ./tensorflow/core/kernels/hexagon/graph_transferer.h:24, from tensorflow/core/kernels/hexagon/graph_transferer.cc:16: tensorflow/core/kernels/hexagon/graph_transferer.cc: In member function 'void tensorflow::GraphTransferer::RegisterNodeWithPaddingAndStrides(const tensorflow::IRemoteFusedGraphOpsDefinitions&, const tensorflow::ShapeRefiner&, const tensorflow::Node&)': tensorflow/core/kernels/hexagon/graph_transferer.cc:663:35: warning: ?: using integer constants in boolean context, the expression will always evaluate to 'true' [-Wint-in-bool-context] CHECK(padding == Padding::VALID ? 1 : 2); ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ tensorflow/core/kernels/hexagon/graph_transferer.cc:663:3: note: in expansion of macro 'CHECK' CHECK(padding == Padding::VALID ? 1 : 2); ^ INFO: From Compiling tensorflow/core/kernels/conv_grad_filter_ops.cc: In file included from ./tensorflow/core/kernels/conv_2d.h:22:0, from tensorflow/core/kernels/conv_grad_filter_ops.cc:32: ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, true, 0, Eigen::MakePointer>]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:415:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: required from 'bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(Eigen::TensorContractionEvaluatorBase::Scalar*) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:129:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_filter_ops.cc:101:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:254:45: required from 'void tensorflow::Conv2DFastBackpropFilterOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:944:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:721:40: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:742:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:756:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, false, 0, Eigen::MakePointer>]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: required from 'bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(Eigen::TensorContractionEvaluatorBase::Scalar*) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:129:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_filter_ops.cc:101:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:254:45: required from 'void tensorflow::Conv2DFastBackpropFilterOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:944:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:721:40: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:742:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:756:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, true, 0, Eigen::MakePointer>]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:423:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: required from 'bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(Eigen::TensorContractionEvaluatorBase::Scalar*) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:129:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_filter_ops.cc:101:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:254:45: required from 'void tensorflow::Conv2DFastBackpropFilterOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:944:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:721:40: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:742:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:756:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, false, 0, Eigen::MakePointer>]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:426:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: required from 'bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(Eigen::TensorContractionEvaluatorBase::Scalar*) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:129:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_filter_ops.cc:101:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:254:45: required from 'void tensorflow::Conv2DFastBackpropFilterOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:944:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:721:40: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:742:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:756:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:535:65: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:743:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:415:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_filter_ops.cc:101:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:254:45: required from 'void tensorflow::Conv2DFastBackpropFilterOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:944:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:363:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:415:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_filter_ops.cc:101:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:254:45: required from 'void tensorflow::Conv2DFastBackpropFilterOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:944:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:312:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:535:65: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:743:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_filter_ops.cc:101:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:254:45: required from 'void tensorflow::Conv2DFastBackpropFilterOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:944:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:363:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_filter_ops.cc:101:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:254:45: required from 'void tensorflow::Conv2DFastBackpropFilterOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:944:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:312:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:535:65: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:743:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:423:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_filter_ops.cc:101:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:254:45: required from 'void tensorflow::Conv2DFastBackpropFilterOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:944:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:363:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:423:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_filter_ops.cc:101:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:254:45: required from 'void tensorflow::Conv2DFastBackpropFilterOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:944:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:312:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:535:65: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:743:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:426:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_filter_ops.cc:101:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:254:45: required from 'void tensorflow::Conv2DFastBackpropFilterOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:944:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:363:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:426:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_filter_ops.cc:101:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:254:45: required from 'void tensorflow::Conv2DFastBackpropFilterOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:944:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:312:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:356:34: required from 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:415:11: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_filter_ops.cc:101:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:254:45: required from 'void tensorflow::Conv2DFastBackpropFilterOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:944:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:391:15: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const int packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:356:34: required from 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:11: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_filter_ops.cc:101:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:254:45: required from 'void tensorflow::Conv2DFastBackpropFilterOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:944:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:391:15: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:356:34: required from 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:423:11: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_filter_ops.cc:101:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:254:45: required from 'void tensorflow::Conv2DFastBackpropFilterOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:944:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:391:15: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:356:34: required from 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:426:11: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:149:16: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorForcedEvalOp, const Eigen::TensorShufflingOp, const Eigen::TensorReverseOp, Eigen::type2index<1>, Eigen::type2index<0>, Eigen::type2index<0> >, const Eigen::TensorMap, 16, Eigen::MakePointer> > > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:97:30: required from 'void tensorflow::functor::SpatialConvolutionBackwardInput::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, int, int) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_grad_filter_ops.cc:101:61: required from 'void tensorflow::LaunchConv2DBackpropInputOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:254:45: required from 'void tensorflow::Conv2DFastBackpropFilterOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_grad_filter_ops.cc:944:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:391:15: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] INFO: From Compiling tensorflow/core/kernels/summary_interface.cc: tensorflow/core/kernels/summary_interface.cc: In member function 'tensorflow::Status tensorflow::SummaryWriterImpl::Enqueue(tensorflow::int64, const tensorflow::Summary&)': tensorflow/core/kernels/summary_interface.cc:388:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (queue_.size() >= max_queue_ || ~~~~~~~~~~~~~~^~~~~~~~~~~~~ tensorflow/core/kernels/summary_interface.cc:389:51: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] Env::Default()->NowMicros() - last_flush_ > 1000 * flush_millis_) { ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/framework/op_kernel.h:23, from tensorflow/core/kernels/summary_interface.cc:17: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ In file included from tensorflow/core/kernels/summary_interface.cc:19:0: bazel-out/k8-py3-opt/genfiles/tensorflow/core/framework/summary.pb.h: In member function 'virtual tensorflow::Status tensorflow::SummaryWriterImpl::WriteScalar(tensorflow::int64, tensorflow::Tensor, const string&)': bazel-out/k8-py3-opt/genfiles/tensorflow/core/framework/summary.pb.h:2518:24: warning: 'value' may be used uninitialized in this function [-Wmaybe-uninitialized] value_.simple_value_ = value; ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ tensorflow/core/kernels/summary_interface.cc:265:11: note: 'value' was declared here float value; ^~~~~ tensorflow/core/kernels/summary_interface.cc: In member function 'virtual tensorflow::Status tensorflow::SummaryWriterImpl::WriteHistogram(tensorflow::int64, tensorflow::Tensor, const string&)': tensorflow/core/kernels/summary_interface.cc:286:16: warning: 'double_val' may be used uninitialized in this function [-Wmaybe-uninitialized] histo.Add(double_val); ~~~~~~~~~^~~~~~~~~~~~ INFO: From Compiling tensorflow/core/distributed_runtime/local_master.cc: In file included from ./tensorflow/core/distributed_runtime/call_options.h:21:0, from ./tensorflow/core/distributed_runtime/master_interface.h:19, from ./tensorflow/core/distributed_runtime/local_master.h:21, from tensorflow/core/distributed_runtime/local_master.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/cc/gradients/nn_grad.cc: In file included from bazel-out/k8-py3-opt/genfiles/tensorflow/cc/ops/nn_ops.h:8:0, from tensorflow/cc/gradients/nn_grad.cc:16: ./tensorflow/cc/framework/ops.h: In instantiation of 'tensorflow::Input::Initializer::Initializer(const std::initializer_list<_Tp>&, const tensorflow::TensorShape&) [with T = int; = void]': bazel-out/k8-py3-opt/genfiles/tensorflow/cc/ops/logging_ops.h:217:70: required from here ./tensorflow/cc/framework/ops.h:153:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (t.NumElements() != v.size()) { INFO: From Compiling tensorflow/core/kernels/conditional_accumulator_base.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/framework/op_kernel.h:23, from ./tensorflow/core/framework/numeric_op.h:19, from ./tensorflow/core/kernels/conditional_accumulator_base.h:22, from tensorflow/core/kernels/conditional_accumulator_base.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/debug/debug_io_utils.cc: tensorflow/core/debug/debug_io_utils.cc:577:15: warning: 'tensorflow::Status tensorflow::CloseDebugURL(const string&)' defined but not used [-Wunused-function] static Status CloseDebugURL(const string& debug_url) { return Status::OK(); } ^~~~~~~~~~~~~ [2,652 / 2,695] Compiling tensorflow/core/kernels/batch_matmul_op_complex.cc; 30s local ... (2 actions running) INFO: From Compiling tensorflow/python/pywrap_tensorflow_internal.cc: bazel-out/k8-py3-opt/bin/tensorflow/python/pywrap_tensorflow_internal.cc: In function 'PyObject* _wrap_PyRecordReader_New(PyObject*, PyObject*)': bazel-out/k8-py3-opt/bin/tensorflow/python/pywrap_tensorflow_internal.cc:5856:12: warning: 'arg2' may be used uninitialized in this function [-Wmaybe-uninitialized] result = (tensorflow::io::PyRecordReader *)tensorflow::io::PyRecordReader::New((string const &)*arg1,arg2,(string const &)*arg3,arg4); ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ At global scope: cc1plus: warning: unrecognized command line option '-Wno-self-assign' INFO: From Compiling tensorflow/core/distributed_runtime/scheduler.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/lib/core/errors.h:19, from ./tensorflow/core/framework/tensor_shape.h:23, from ./tensorflow/core/framework/partial_tensor_shape.h:20, from ./tensorflow/core/framework/attr_value_util.h:23, from ./tensorflow/core/framework/function.h:21, from ./tensorflow/core/graph/graph.h:43, from ./tensorflow/core/graph/costmodel.h:25, from ./tensorflow/core/distributed_runtime/scheduler.h:25, from tensorflow/core/distributed_runtime/scheduler.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/kernels/prefetch_dataset_op.cc: tensorflow/core/kernels/prefetch_dataset_op.cc: In member function 'virtual void tensorflow::{anonymous}::PrefetchDatasetOp::MakeDataset(tensorflow::OpKernelContext*, tensorflow::DatasetBase*, tensorflow::DatasetBase**)': tensorflow/core/kernels/prefetch_dataset_op.cc:64:44: warning: 'buffer_size' may be used uninitialized in this function [-Wmaybe-uninitialized] ctx_params_(std::move(ctx_params)) { ^ tensorflow/core/kernels/prefetch_dataset_op.cc:36:11: note: 'buffer_size' was declared here int64 buffer_size; ^~~~~~~~~~~ INFO: From Compiling tensorflow/core/profiler/internal/print_model_analysis.cc: In file included from ./tensorflow/core/profiler/internal/tfprof_show.h:33:0, from ./tensorflow/core/profiler/internal/tfprof_show_multi.h:33, from ./tensorflow/core/profiler/internal/tfprof_code.h:32, from ./tensorflow/core/profiler/internal/tfprof_stats.h:38, from ./tensorflow/core/profiler/internal/advisor/checker.h:20, from ./tensorflow/core/profiler/internal/advisor/accelerator_utilization_checker.h:19, from ./tensorflow/core/profiler/internal/advisor/tfprof_advisor.h:19, from tensorflow/core/profiler/internal/print_model_analysis.cc:26: ./tensorflow/core/profiler/internal/tfprof_tensor.h: In member function 'bool tensorflow::tfprof::TFProfTensor::AddValue(const T&, tensorflow::tfprof::TFProfTensorProto*)': ./tensorflow/core/profiler/internal/tfprof_tensor.h:79:3: warning: no return statement in function returning non-void [-Wreturn-type] } ^ In file included from ./tensorflow/core/profiler/internal/tfprof_stats.h:41:0, from ./tensorflow/core/profiler/internal/advisor/checker.h:20, from ./tensorflow/core/profiler/internal/advisor/accelerator_utilization_checker.h:19, from ./tensorflow/core/profiler/internal/advisor/tfprof_advisor.h:19, from tensorflow/core/profiler/internal/print_model_analysis.cc:26: ./tensorflow/core/profiler/internal/tfprof_op.h: In member function 'virtual bool tensorflow::tfprof::TFOp::ShouldShowIfExtra(const tensorflow::tfprof::ShowMultiNode*, const tensorflow::tfprof::Options&, int) const': ./tensorflow/core/profiler/internal/tfprof_op.h:61:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (opts.min_occurrence > node->node->graph_nodes().size()) { ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/core/framework/reader_base.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/framework/op_kernel.h:23, from ./tensorflow/core/framework/queue_interface.h:22, from ./tensorflow/core/framework/reader_base.h:21, from tensorflow/core/framework/reader_base.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/grappler/costs/graph_properties.cc: tensorflow/core/grappler/costs/graph_properties.cc: In member function 'tensorflow::Status tensorflow::grappler::GraphProperties::InferStatically()': tensorflow/core/grappler/costs/graph_properties.cc:419:22: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (input_id >= input_properties.size()) { ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/lib/core/errors.h:19, from ./tensorflow/core/framework/tensor_shape.h:23, from ./tensorflow/core/framework/partial_tensor_shape.h:20, from ./tensorflow/core/framework/attr_value_util.h:23, from ./tensorflow/core/framework/node_def_util.h:23, from ./tensorflow/core/framework/shape_inference.h:20, from ./tensorflow/core/grappler/costs/graph_properties.h:21, from tensorflow/core/grappler/costs/graph_properties.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/python/framework/test_ops.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/lib/core/errors.h:19, from ./tensorflow/core/framework/tensor_shape.h:23, from ./tensorflow/core/framework/partial_tensor_shape.h:20, from ./tensorflow/core/framework/attr_value_util.h:23, from ./tensorflow/core/framework/node_def_util.h:23, from ./tensorflow/core/framework/shape_inference.h:20, from ./tensorflow/core/framework/common_shape_fns.h:20, from tensorflow/python/framework/test_ops.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/kernels/remote_fused_graph_execute_utils.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/lib/core/errors.h:19, from ./tensorflow/core/framework/tensor_shape.h:23, from ./tensorflow/core/framework/partial_tensor_shape.h:20, from ./tensorflow/core/framework/attr_value_util.h:23, from ./tensorflow/core/framework/function.h:21, from ./tensorflow/core/graph/graph.h:43, from ./tensorflow/core/kernels/remote_fused_graph_execute_utils.h:24, from tensorflow/core/kernels/remote_fused_graph_execute_utils.cc:16: tensorflow/core/kernels/remote_fused_graph_execute_utils.cc: In static member function 'static bool tensorflow::RemoteFusedGraphExecuteUtils::GetOutputTensorShapeType(const tensorflow::GraphDef&, const string&, tensorflow::DataType*, tensorflow::TensorShape*)': tensorflow/core/kernels/remote_fused_graph_execute_utils.cc:432:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(data_types.size() > port); ~~~~~~~~~~~~~~~~~~^~~ ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ tensorflow/core/kernels/remote_fused_graph_execute_utils.cc:432:3: note: in expansion of macro 'CHECK' CHECK(data_types.size() > port); ^ tensorflow/core/kernels/remote_fused_graph_execute_utils.cc: In static member function 'static tensorflow::Status tensorflow::RemoteFusedGraphExecuteUtils::ClusterizeNodes(const std::unordered_set >&, const tensorflow::GraphDef&, std::vector, std::allocator >, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator > > >, std::vector, std::allocator >, std::allocator, std::allocator > > >, std::vector, std::allocator >, std::allocator, std::allocator > > > > >*)': tensorflow/core/kernels/remote_fused_graph_execute_utils.cc:790:45: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(input_count == 0 || input_count == node->in_edges().size()) ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ tensorflow/core/kernels/remote_fused_graph_execute_utils.cc:790:7: note: in expansion of macro 'CHECK' CHECK(input_count == 0 || input_count == node->in_edges().size()) ^ tensorflow/core/kernels/remote_fused_graph_execute_utils.cc: In static member function 'static tensorflow::Status tensorflow::RemoteFusedGraphExecuteUtils::FuseCluster(const tensorflow::GraphDef&, const std::vector >&, const std::vector >&, const string&, const ClusterInfo&, const string&, bool, tensorflow::GraphDef*)': tensorflow/core/kernels/remote_fused_graph_execute_utils.cc:974:25: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int j = 0; j < border_outputs.size(); ++j) { ~~^~~~~~~~~~~~~~~~~~~~~~~ In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/lib/core/errors.h:19, from ./tensorflow/core/framework/tensor_shape.h:23, from ./tensorflow/core/framework/partial_tensor_shape.h:20, from ./tensorflow/core/framework/attr_value_util.h:23, from ./tensorflow/core/framework/function.h:21, from ./tensorflow/core/graph/graph.h:43, from ./tensorflow/core/kernels/remote_fused_graph_execute_utils.h:24, from tensorflow/core/kernels/remote_fused_graph_execute_utils.cc:16: tensorflow/core/kernels/remote_fused_graph_execute_utils.cc: In static member function 'static tensorflow::Status tensorflow::RemoteFusedGraphExecuteUtils::CopyByteArrayToTensor(const void*, int, tensorflow::Tensor*)': tensorflow/core/kernels/remote_fused_graph_execute_utils.cc:1339:30: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(tensor->TotalBytes() >= src_size) ~~~~~~~~~~~~~~~~~~~~~^~~~ ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ tensorflow/core/kernels/remote_fused_graph_execute_utils.cc:1339:3: note: in expansion of macro 'CHECK' CHECK(tensor->TotalBytes() >= src_size) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/distributed_runtime/session_mgr.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/common_runtime/device.h:35, from ./tensorflow/core/common_runtime/device_mgr.h:24, from ./tensorflow/core/distributed_runtime/worker_session.h:21, from ./tensorflow/core/distributed_runtime/session_mgr.h:21, from tensorflow/core/distributed_runtime/session_mgr.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/cc/framework/scope.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/framework/tensor.h:20, from ./tensorflow/cc/framework/ops.h:21, from ./tensorflow/cc/framework/scope.h:25, from ./tensorflow/cc/framework/scope_internal.h:19, from tensorflow/cc/framework/scope.cc:19: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ [3,006 / 3,049] Compiling tensorflow/python/eager/pywrap_tensor.cc; 2s local ... (2 actions running) INFO: From Compiling tensorflow/python/lib/core/py_func.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/framework/tensor.h:20, from ./tensorflow/python/lib/core/py_func.h:22, from tensorflow/python/lib/core/py_func.cc:16: ./tensorflow/core/platform/default/logging.h: In instantiation of 'std::__cxx11::string* tensorflow::internal::Check_EQImpl(const T1&, const T2&, const char*) [with T1 = long unsigned int; T2 = long long int; std::__cxx11::string = std::__cxx11::basic_string]': tensorflow/python/lib/core/py_func.cc:269:5: required from here ./tensorflow/core/platform/default/logging.h:228:25: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] == ) // Compilation error with CHECK_EQ(NULL, x)? ./tensorflow/core/platform/macros.h:79:29: note: in definition of macro 'TF_PREDICT_TRUE' #define TF_PREDICT_TRUE(x) (x) ^ ./tensorflow/core/platform/default/logging.h:227:1: note: in expansion of macro 'TF_DEFINE_CHECK_OP_IMPL' TF_DEFINE_CHECK_OP_IMPL(Check_EQ, ^ INFO: From Compiling tensorflow/cc/framework/gradients.cc: tensorflow/cc/framework/gradients.cc: In member function 'tensorflow::Status tensorflow::{anonymous}::SymbolicGradientBuilder::ProcessWhileLoop(tensorflow::Node*, const tensorflow::Output&)': tensorflow/cc/framework/gradients.cc:427:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < dx.size(); ++i) { ~~^~~~~~~~~~~ tensorflow/cc/framework/gradients.cc: In member function 'tensorflow::Status tensorflow::{anonymous}::SymbolicGradientBuilder::AddGradients()': tensorflow/cc/framework/gradients.cc:492:66: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (IsPrimitiveOpWithNoGrad(n->type_string()) || num_no_grad == num_y) { ~~~~~~~~~~~~^~~~~~~~ tensorflow/cc/framework/gradients.cc:503:40: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (num_no_grad > 0 && num_no_grad < num_y) { ~~~~~~~~~~~~^~~~~~~ In file included from ./tensorflow/cc/framework/grad_op_registry.h:21:0, from tensorflow/cc/framework/gradients.cc:19: ./tensorflow/cc/framework/ops.h: In instantiation of 'tensorflow::Input::Initializer::Initializer(const std::initializer_list<_Tp>&, const tensorflow::TensorShape&) [with T = int; = void]': bazel-out/k8-py3-opt/genfiles/tensorflow/cc/ops/logging_ops.h:217:70: required from here ./tensorflow/cc/framework/ops.h:153:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (t.NumElements() != v.size()) { INFO: From Compiling tensorflow/python/lib/core/py_seq_tensor.cc: tensorflow/python/lib/core/py_seq_tensor.cc: In function 'tensorflow::Status tensorflow::PySeqToTensor(PyObject*, PyObject*, tensorflow::Tensor*)': tensorflow/python/lib/core/py_seq_tensor.cc:417:3: warning: 'infer_dtype' may be used uninitialized in this function [-Wmaybe-uninitialized] switch (infer_dtype) { ^~~~~~ INFO: From Compiling tensorflow/core/profiler/internal/tfprof_tensor.cc: In file included from tensorflow/core/profiler/internal/tfprof_tensor.cc:16:0: ./tensorflow/core/profiler/internal/tfprof_tensor.h: In member function 'bool tensorflow::tfprof::TFProfTensor::AddValue(const T&, tensorflow::tfprof::TFProfTensorProto*)': ./tensorflow/core/profiler/internal/tfprof_tensor.h:79:3: warning: no return statement in function returning non-void [-Wreturn-type] } ^ INFO: From Compiling tensorflow/core/kernels/shuffle_dataset_op.cc: tensorflow/core/kernels/shuffle_dataset_op.cc: In member function 'virtual void tensorflow::{anonymous}::ShuffleDatasetOp::MakeDataset(tensorflow::OpKernelContext*, tensorflow::DatasetBase*, tensorflow::DatasetBase**)': tensorflow/core/kernels/shuffle_dataset_op.cc:57:19: warning: 'seed2' may be used uninitialized in this function [-Wmaybe-uninitialized] if (seed == 0 && seed2 == 0) { ~~~~~~~~~~^~~~~~~~~~~~~ tensorflow/core/kernels/shuffle_dataset_op.cc:57:5: warning: 'seed' may be used uninitialized in this function [-Wmaybe-uninitialized] if (seed == 0 && seed2 == 0) { ^~ tensorflow/core/kernels/shuffle_dataset_op.cc:74:50: warning: 'buffer_size' may be used uninitialized in this function [-Wmaybe-uninitialized] : input_(input), buffer_size_(buffer_size) { ^ tensorflow/core/kernels/shuffle_dataset_op.cc:42:11: note: 'buffer_size' was declared here int64 buffer_size; ^~~~~~~~~~~ INFO: From Compiling tensorflow/core/kernels/conv_ops.cc: In file included from ./tensorflow/core/kernels/conv_2d.h:22:0, from tensorflow/core/kernels/conv_ops.cc:32: ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, true, 0, Eigen::MakePointer>]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:415:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: required from 'bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(Eigen::TensorContractionEvaluatorBase::Scalar*) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:129:44: required from 'bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(Eigen::TensorEvaluator, Device>::CoeffReturnType*) [with NewDimensions = const Eigen::DSizes; ArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::CoeffReturnType = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:129:62: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:59:20: required from 'void tensorflow::functor::SpatialConvolutionFunc(const Device&, Output, Input, Filter, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; Input = Eigen::TensorMap, 16, Eigen::MakePointer>; Filter = Eigen::TensorMap, 16, Eigen::MakePointer>; Output = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/conv_2d.h:69:27: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_ops.cc:415:16: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:721:40: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:742:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:756:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, false, 0, Eigen::MakePointer>]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: required from 'bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(Eigen::TensorContractionEvaluatorBase::Scalar*) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:129:44: required from 'bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(Eigen::TensorEvaluator, Device>::CoeffReturnType*) [with NewDimensions = const Eigen::DSizes; ArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::CoeffReturnType = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:129:62: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:59:20: required from 'void tensorflow::functor::SpatialConvolutionFunc(const Device&, Output, Input, Filter, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; Input = Eigen::TensorMap, 16, Eigen::MakePointer>; Filter = Eigen::TensorMap, 16, Eigen::MakePointer>; Output = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/conv_2d.h:69:27: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_ops.cc:415:16: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:721:40: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:742:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:756:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, true, 0, Eigen::MakePointer>]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:423:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: required from 'bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(Eigen::TensorContractionEvaluatorBase::Scalar*) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:129:44: required from 'bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(Eigen::TensorEvaluator, Device>::CoeffReturnType*) [with NewDimensions = const Eigen::DSizes; ArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::CoeffReturnType = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:129:62: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:59:20: required from 'void tensorflow::functor::SpatialConvolutionFunc(const Device&, Output, Input, Filter, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; Input = Eigen::TensorMap, 16, Eigen::MakePointer>; Filter = Eigen::TensorMap, 16, Eigen::MakePointer>; Output = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/conv_2d.h:69:27: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_ops.cc:415:16: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:721:40: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:742:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:756:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, false, 0, Eigen::MakePointer>]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:426:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: required from 'bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(Eigen::TensorContractionEvaluatorBase::Scalar*) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:129:44: required from 'bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(Eigen::TensorEvaluator, Device>::CoeffReturnType*) [with NewDimensions = const Eigen::DSizes; ArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::CoeffReturnType = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:129:62: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:59:20: required from 'void tensorflow::functor::SpatialConvolutionFunc(const Device&, Output, Input, Filter, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; Input = Eigen::TensorMap, 16, Eigen::MakePointer>; Filter = Eigen::TensorMap, 16, Eigen::MakePointer>; Output = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/conv_2d.h:69:27: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_ops.cc:415:16: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:721:40: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:742:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:756:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:535:65: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:743:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:415:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:59:20: required from 'void tensorflow::functor::SpatialConvolutionFunc(const Device&, Output, Input, Filter, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; Input = Eigen::TensorMap, 16, Eigen::MakePointer>; Filter = Eigen::TensorMap, 16, Eigen::MakePointer>; Output = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/conv_2d.h:69:27: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_ops.cc:415:16: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:363:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:415:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:59:20: required from 'void tensorflow::functor::SpatialConvolutionFunc(const Device&, Output, Input, Filter, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; Input = Eigen::TensorMap, 16, Eigen::MakePointer>; Filter = Eigen::TensorMap, 16, Eigen::MakePointer>; Output = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/conv_2d.h:69:27: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_ops.cc:415:16: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:312:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:535:65: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:743:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:59:20: required from 'void tensorflow::functor::SpatialConvolutionFunc(const Device&, Output, Input, Filter, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; Input = Eigen::TensorMap, 16, Eigen::MakePointer>; Filter = Eigen::TensorMap, 16, Eigen::MakePointer>; Output = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/conv_2d.h:69:27: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_ops.cc:415:16: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:363:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:59:20: required from 'void tensorflow::functor::SpatialConvolutionFunc(const Device&, Output, Input, Filter, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; Input = Eigen::TensorMap, 16, Eigen::MakePointer>; Filter = Eigen::TensorMap, 16, Eigen::MakePointer>; Output = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/conv_2d.h:69:27: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_ops.cc:415:16: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:312:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:535:65: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:743:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:423:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:59:20: required from 'void tensorflow::functor::SpatialConvolutionFunc(const Device&, Output, Input, Filter, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; Input = Eigen::TensorMap, 16, Eigen::MakePointer>; Filter = Eigen::TensorMap, 16, Eigen::MakePointer>; Output = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/conv_2d.h:69:27: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_ops.cc:415:16: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:363:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:423:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:59:20: required from 'void tensorflow::functor::SpatialConvolutionFunc(const Device&, Output, Input, Filter, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; Input = Eigen::TensorMap, 16, Eigen::MakePointer>; Filter = Eigen::TensorMap, 16, Eigen::MakePointer>; Output = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/conv_2d.h:69:27: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_ops.cc:415:16: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:312:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:535:65: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:743:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:426:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:59:20: required from 'void tensorflow::functor::SpatialConvolutionFunc(const Device&, Output, Input, Filter, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; Input = Eigen::TensorMap, 16, Eigen::MakePointer>; Filter = Eigen::TensorMap, 16, Eigen::MakePointer>; Output = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/conv_2d.h:69:27: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_ops.cc:415:16: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:363:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:426:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:59:20: required from 'void tensorflow::functor::SpatialConvolutionFunc(const Device&, Output, Input, Filter, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; Input = Eigen::TensorMap, 16, Eigen::MakePointer>; Filter = Eigen::TensorMap, 16, Eigen::MakePointer>; Output = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/conv_2d.h:69:27: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_ops.cc:415:16: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:312:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:356:34: required from 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:415:11: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:59:20: required from 'void tensorflow::functor::SpatialConvolutionFunc(const Device&, Output, Input, Filter, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; Input = Eigen::TensorMap, 16, Eigen::MakePointer>; Filter = Eigen::TensorMap, 16, Eigen::MakePointer>; Output = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/conv_2d.h:69:27: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_ops.cc:415:16: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:391:15: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const int packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:356:34: required from 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:11: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:59:20: required from 'void tensorflow::functor::SpatialConvolutionFunc(const Device&, Output, Input, Filter, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; Input = Eigen::TensorMap, 16, Eigen::MakePointer>; Filter = Eigen::TensorMap, 16, Eigen::MakePointer>; Output = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/conv_2d.h:69:27: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_ops.cc:415:16: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:391:15: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:356:34: required from 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:423:11: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:59:20: required from 'void tensorflow::functor::SpatialConvolutionFunc(const Device&, Output, Input, Filter, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; Input = Eigen::TensorMap, 16, Eigen::MakePointer>; Filter = Eigen::TensorMap, 16, Eigen::MakePointer>; Output = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/conv_2d.h:69:27: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_ops.cc:415:16: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:391:15: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:356:34: required from 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:426:11: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorReshapingOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, const Eigen::TensorReshapingOp, const Eigen::TensorMap, 16, Eigen::MakePointer> > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:59:20: required from 'void tensorflow::functor::SpatialConvolutionFunc(const Device&, Output, Input, Filter, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; Input = Eigen::TensorMap, 16, Eigen::MakePointer>; Filter = Eigen::TensorMap, 16, Eigen::MakePointer>; Output = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/conv_2d.h:69:27: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, typename tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; T = float; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = float]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = float]' tensorflow/core/kernels/conv_ops.cc:415:16: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:391:15: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, true, 0, Eigen::MakePointer>]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:415:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: required from 'bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(Eigen::TensorContractionEvaluatorBase::Scalar*) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:129:44: required from 'bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(Eigen::TensorEvaluator, Device>::CoeffReturnType*) [with NewDimensions = const Eigen::DSizes; ArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::CoeffReturnType = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorConversion.h:169:5: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorConversionOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:82:22: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, tensorflow::TTypes::Tensor, tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:387:5: required from 'void tensorflow::Conv2DOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:785:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:721:40: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:742:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:756:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, false, 0, Eigen::MakePointer>]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: required from 'bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(Eigen::TensorContractionEvaluatorBase::Scalar*) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:129:44: required from 'bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(Eigen::TensorEvaluator, Device>::CoeffReturnType*) [with NewDimensions = const Eigen::DSizes; ArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::CoeffReturnType = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorConversion.h:169:5: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorConversionOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:82:22: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, tensorflow::TTypes::Tensor, tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:387:5: required from 'void tensorflow::Conv2DOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:785:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:721:40: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:742:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:756:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, true, 0, Eigen::MakePointer>]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:423:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: required from 'bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(Eigen::TensorContractionEvaluatorBase::Scalar*) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:129:44: required from 'bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(Eigen::TensorEvaluator, Device>::CoeffReturnType*) [with NewDimensions = const Eigen::DSizes; ArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::CoeffReturnType = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorConversion.h:169:5: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorConversionOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:82:22: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, tensorflow::TTypes::Tensor, tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:387:5: required from 'void tensorflow::Conv2DOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:785:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:721:40: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:742:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:756:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, false, 0, Eigen::MakePointer>]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:426:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: required from 'bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(Eigen::TensorContractionEvaluatorBase::Scalar*) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:129:44: required from 'bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(Eigen::TensorEvaluator, Device>::CoeffReturnType*) [with NewDimensions = const Eigen::DSizes; ArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::CoeffReturnType = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorConversion.h:169:5: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorConversionOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:82:22: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, tensorflow::TTypes::Tensor, tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:387:5: required from 'void tensorflow::Conv2DOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:785:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:721:40: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:742:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h:756:36: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] PacketBlock kernel; ^~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:535:65: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:743:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:415:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorConversionOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:82:22: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, tensorflow::TTypes::Tensor, tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:387:5: required from 'void tensorflow::Conv2DOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:785:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:363:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:415:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorConversionOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:82:22: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, tensorflow::TTypes::Tensor, tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:387:5: required from 'void tensorflow::Conv2DOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:785:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:312:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:535:65: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:743:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorConversionOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:82:22: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, tensorflow::TTypes::Tensor, tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:387:5: required from 'void tensorflow::Conv2DOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:785:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:363:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorConversionOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:82:22: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, tensorflow::TTypes::Tensor, tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:387:5: required from 'void tensorflow::Conv2DOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:785:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:312:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:535:65: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:743:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:423:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorConversionOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:82:22: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, tensorflow::TTypes::Tensor, tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:387:5: required from 'void tensorflow::Conv2DOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:785:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:363:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:423:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorConversionOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:82:22: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, tensorflow::TTypes::Tensor, tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:387:5: required from 'void tensorflow::Conv2DOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:785:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:312:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:535:65: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:743:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:426:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorConversionOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:82:22: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, tensorflow::TTypes::Tensor, tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:387:5: required from 'void tensorflow::Conv2DOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:785:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:363:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:426:11: required from 'void Eigen::TensorContractionEvaluatorBase::evalTo(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:402:13: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorConversionOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:82:22: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, tensorflow::TTypes::Tensor, tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:387:5: required from 'void tensorflow::Conv2DOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:785:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:312:17: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:356:34: required from 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:415:11: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorConversionOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:82:22: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, tensorflow::TTypes::Tensor, tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:387:5: required from 'void tensorflow::Conv2DOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:785:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:391:15: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] const int packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:356:34: required from 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, true, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:418:11: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorConversionOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:82:22: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, tensorflow::TTypes::Tensor, tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:387:5: required from 'void tensorflow::Conv2DOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:785:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:391:15: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:356:34: required from 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, true, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:423:11: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorConversionOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:82:22: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, tensorflow::TTypes::Tensor, tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:387:5: required from 'void tensorflow::Conv2DOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:785:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:391:15: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] ./tensorflow/core/kernels/eigen_spatial_convolutions.h: In instantiation of 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]': ./tensorflow/core/kernels/eigen_spatial_convolutions.h:356:34: required from 'Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:540:69: required from 'Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; Eigen::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]' ./tensorflow/core/kernels/eigen_spatial_convolutions.h:757:30: required from 'void Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const Eigen::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const Eigen::TensorConversionOp, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = Eigen::array; contract_t = Eigen::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; Eigen::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>, Eigen::array, Eigen::array, 4, false, false, 0, Eigen::MakePointer>]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:578:19: required from 'void Eigen::TensorContractionEvaluatorBase::evalGemm(Eigen::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, Eigen::ThreadPoolDevice>; Eigen::TensorContractionEvaluatorBase::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:238:9: required from 'void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const Eigen::array, 1>; LeftArgType = const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >; RightArgType = const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > >; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = float]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:426:11: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorConversionOp, const Eigen::TensorContractionOp, 1>, const Eigen::TensorReshapingOp, const Eigen::TensorImagePatchOp<-1, -1, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > >, const Eigen::TensorReshapingOp, const Eigen::TensorConversionOp, 16, Eigen::MakePointer> > > > > >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/conv_2d.h:82:22: required from 'void tensorflow::functor::SpatialConvolution::operator()(const Device&, tensorflow::TTypes::Tensor, tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstTensor, int, int, const Eigen::PaddingType&) [with Device = Eigen::ThreadPoolDevice; tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>]' tensorflow/core/kernels/conv_ops.cc:103:47: required from 'void tensorflow::{anonymous}::LaunchGeneric::operator()(tensorflow::OpKernelContext*, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:124:34: required from 'void tensorflow::LaunchConv2DOp::operator()(tensorflow::OpKernelContext*, bool, bool, const tensorflow::Tensor&, const tensorflow::Tensor&, int, int, const tensorflow::Padding&, tensorflow::Tensor*, tensorflow::TensorFormat) [with T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:387:5: required from 'void tensorflow::Conv2DOp::Compute(tensorflow::OpKernelContext*) [with Device = Eigen::ThreadPoolDevice; T = Eigen::half]' tensorflow/core/kernels/conv_ops.cc:785:1: required from here ./tensorflow/core/kernels/eigen_spatial_convolutions.h:391:15: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type {aka __vector(4) float}' [-Wignored-attributes] INFO: From Compiling tensorflow/compiler/xla/util.cc: tensorflow/compiler/xla/util.cc: In function 'bool xla::IsPermutation(tensorflow::gtl::ArraySlice, tensorflow::int64)': tensorflow/compiler/xla/util.cc:162:12: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (rank != permutation.size()) { ~~~~~^~~~~~~~~~~~~~~~~~~~~ tensorflow/compiler/xla/util.cc: In function 'bool xla::IsIdentityPermutation(tensorflow::gtl::ArraySlice)': tensorflow/compiler/xla/util.cc:195:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int64 i = 0; i < p.size(); ++i) { ~~^~~~~~~~~~ tensorflow/compiler/xla/util.cc: In function 'std::vector > xla::CommonFactors(tensorflow::gtl::ArraySlice, tensorflow::gtl::ArraySlice)': tensorflow/compiler/xla/util.cc:314:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] bool in_bounds_i = i < a.size(); ~~^~~~~~~~~~ tensorflow/compiler/xla/util.cc:315:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] bool in_bounds_j = j < b.size(); ~~^~~~~~~~~~ INFO: From Compiling tensorflow/core/ops/data_flow_ops.cc: tensorflow/core/ops/data_flow_ops.cc:368:8: warning: 'tensorflow::Status tensorflow::{anonymous}::ScalarOutput(tensorflow::shape_inference::InferenceContext*)' defined but not used [-Wunused-function] Status ScalarOutput(InferenceContext* c) { ^~~~~~~~~~~~ tensorflow/core/ops/data_flow_ops.cc:349:8: warning: 'tensorflow::Status tensorflow::{anonymous}::ScalarAndTwoElementVectorInputsAndScalarOutputs(tensorflow::shape_inference::InferenceContext*)' defined but not used [-Wunused-function] Status ScalarAndTwoElementVectorInputsAndScalarOutputs(InferenceContext* c) { ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/core/kernels/dense_to_sparse_batch_dataset_op.cc: tensorflow/core/kernels/dense_to_sparse_batch_dataset_op.cc: In member function 'virtual void tensorflow::{anonymous}::DenseToSparseBatchDatasetOp::MakeDataset(tensorflow::OpKernelContext*, tensorflow::DatasetBase*, tensorflow::DatasetBase**)': tensorflow/core/kernels/dense_to_sparse_batch_dataset_op.cc:85:71: warning: 'batch_size' may be used uninitialized in this function [-Wmaybe-uninitialized] : batch_size_(batch_size), row_shape_(row_shape), input_(input) { ^ tensorflow/core/kernels/dense_to_sparse_batch_dataset_op.cc:41:11: note: 'batch_size' was declared here int64 batch_size; ^~~~~~~~~~ INFO: From Compiling tensorflow/core/kernels/mirror_pad_op_cpu_impl_3.cc: In file included from ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:22:0, from tensorflow/core/kernels/mirror_pad_op_cpu_impl_3.cc:17: ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with PaddingDimensions = Eigen::array, 3>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:160:49: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = int; int Dims = 3; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:238:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) long long int}' [-Wignored-attributes] constexpr int kPacketSize = ^~~~~~~~~~~ ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with PaddingDimensions = Eigen::array, 3>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:160:49: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = float; int Dims = 3; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:238:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(4) float}' [-Wignored-attributes] ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with PaddingDimensions = Eigen::array, 3>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:160:49: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = double; int Dims = 3; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:238:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) double}' [-Wignored-attributes] ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorEvaluator, Device>::PacketReturnType Eigen::TensorEvaluator, Device>::packet(Eigen::TensorEvaluator, Device>::Index) const [with int LoadMode = 0; PaddingDimensions = Eigen::array, 3>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::PacketReturnType = __vector(2) long long int; Eigen::TensorEvaluator, Device>::Index = int]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:142:5: required from 'void Eigen::TensorEvaluator, Device>::evalPacket(Eigen::TensorEvaluator, Device>::Index) [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:118:11: required from 'static void Eigen::internal::EvalRange::run(Evaluator*, Index, Index) [with Evaluator = Eigen::TensorEvaluator, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:157:74: required from 'Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&)::::Index, Eigen::internal::TensorExecutor::Index)> [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true; Eigen::internal::TensorExecutor::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:156:28: required from 'struct Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]::, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index, Eigen::internal::TensorExecutor, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index)>' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = int; int Dims = 3; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:180:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) long long int}' [-Wignored-attributes] constexpr int kPacketSize = ^~~~~~~~~~~ ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorEvaluator, Device>::PacketReturnType Eigen::TensorEvaluator, Device>::packet(Eigen::TensorEvaluator, Device>::Index) const [with int LoadMode = 0; PaddingDimensions = Eigen::array, 3>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::PacketReturnType = __vector(4) float; Eigen::TensorEvaluator, Device>::Index = int]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:142:5: required from 'void Eigen::TensorEvaluator, Device>::evalPacket(Eigen::TensorEvaluator, Device>::Index) [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:118:11: required from 'static void Eigen::internal::EvalRange::run(Evaluator*, Index, Index) [with Evaluator = Eigen::TensorEvaluator, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:157:74: required from 'Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&)::::Index, Eigen::internal::TensorExecutor::Index)> [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true; Eigen::internal::TensorExecutor::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:156:28: required from 'struct Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]::, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index, Eigen::internal::TensorExecutor, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index)>' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = float; int Dims = 3; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:180:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(4) float}' [-Wignored-attributes] ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorEvaluator, Device>::PacketReturnType Eigen::TensorEvaluator, Device>::packet(Eigen::TensorEvaluator, Device>::Index) const [with int LoadMode = 0; PaddingDimensions = Eigen::array, 3>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::PacketReturnType = __vector(2) double; Eigen::TensorEvaluator, Device>::Index = int]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:142:5: required from 'void Eigen::TensorEvaluator, Device>::evalPacket(Eigen::TensorEvaluator, Device>::Index) [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:118:11: required from 'static void Eigen::internal::EvalRange::run(Evaluator*, Index, Index) [with Evaluator = Eigen::TensorEvaluator, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:157:74: required from 'Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&)::::Index, Eigen::internal::TensorExecutor::Index)> [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true; Eigen::internal::TensorExecutor::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:156:28: required from 'struct Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]::, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index, Eigen::internal::TensorExecutor, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index)>' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 3>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = double; int Dims = 3; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:180:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) double}' [-Wignored-attributes] INFO: From Compiling tensorflow/cc/framework/while_gradients.cc: tensorflow/cc/framework/while_gradients.cc: In function 'std::vector tensorflow::{anonymous}::ToOutputVector(const std::vector&)': tensorflow/cc/framework/while_gradients.cc:40:21: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < n; ++i) result.push_back(ToOutput(output_tensors[i])); ~~^~~ In file included from ./tensorflow/cc/framework/while_gradients.h:19:0, from tensorflow/cc/framework/while_gradients.cc:16: ./tensorflow/cc/framework/ops.h: In instantiation of 'tensorflow::Input::Initializer::Initializer(const std::initializer_list<_Tp>&, const tensorflow::TensorShape&) [with T = int; = void]': bazel-out/k8-py3-opt/genfiles/tensorflow/cc/ops/logging_ops.h:217:70: required from here ./tensorflow/cc/framework/ops.h:153:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (t.NumElements() != v.size()) { INFO: From Compiling tensorflow/core/kernels/mirror_pad_op_cpu_impl_4.cc: In file included from ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:22:0, from tensorflow/core/kernels/mirror_pad_op_cpu_impl_4.cc:17: ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with PaddingDimensions = Eigen::array, 4>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:160:49: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = int; int Dims = 4; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:238:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) long long int}' [-Wignored-attributes] constexpr int kPacketSize = ^~~~~~~~~~~ ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with PaddingDimensions = Eigen::array, 4>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:160:49: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = float; int Dims = 4; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:238:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(4) float}' [-Wignored-attributes] ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with PaddingDimensions = Eigen::array, 4>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:160:49: required from 'Eigen::TensorOpCost Eigen::TensorEvaluator, Device>::costPerCoeff(bool) const [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = double; int Dims = 4; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:238:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) double}' [-Wignored-attributes] ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorEvaluator, Device>::PacketReturnType Eigen::TensorEvaluator, Device>::packet(Eigen::TensorEvaluator, Device>::Index) const [with int LoadMode = 0; PaddingDimensions = Eigen::array, 4>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::PacketReturnType = __vector(2) long long int; Eigen::TensorEvaluator, Device>::Index = int]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:142:5: required from 'void Eigen::TensorEvaluator, Device>::evalPacket(Eigen::TensorEvaluator, Device>::Index) [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:118:11: required from 'static void Eigen::internal::EvalRange::run(Evaluator*, Index, Index) [with Evaluator = Eigen::TensorEvaluator, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:157:74: required from 'Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&)::::Index, Eigen::internal::TensorExecutor::Index)> [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true; Eigen::internal::TensorExecutor::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:156:28: required from 'struct Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]::, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index, Eigen::internal::TensorExecutor, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index)>' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = int; int Dims = 4; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:180:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) long long int}' [-Wignored-attributes] constexpr int kPacketSize = ^~~~~~~~~~~ ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorEvaluator, Device>::PacketReturnType Eigen::TensorEvaluator, Device>::packet(Eigen::TensorEvaluator, Device>::Index) const [with int LoadMode = 0; PaddingDimensions = Eigen::array, 4>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::PacketReturnType = __vector(4) float; Eigen::TensorEvaluator, Device>::Index = int]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:142:5: required from 'void Eigen::TensorEvaluator, Device>::evalPacket(Eigen::TensorEvaluator, Device>::Index) [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:118:11: required from 'static void Eigen::internal::EvalRange::run(Evaluator*, Index, Index) [with Evaluator = Eigen::TensorEvaluator, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:157:74: required from 'Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&)::::Index, Eigen::internal::TensorExecutor::Index)> [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true; Eigen::internal::TensorExecutor::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:156:28: required from 'struct Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]::, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index, Eigen::internal::TensorExecutor, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index)>' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = float; int Dims = 4; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:180:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(4) float}' [-Wignored-attributes] ./tensorflow/core/kernels/mirror_pad_op.h: In instantiation of 'Eigen::TensorEvaluator, Device>::PacketReturnType Eigen::TensorEvaluator, Device>::packet(Eigen::TensorEvaluator, Device>::Index) const [with int LoadMode = 0; PaddingDimensions = Eigen::array, 4>; ArgType = const Eigen::TensorMap, 16, Eigen::MakePointer>; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::PacketReturnType = __vector(2) double; Eigen::TensorEvaluator, Device>::Index = int]': external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:142:5: required from 'void Eigen::TensorEvaluator, Device>::evalPacket(Eigen::TensorEvaluator, Device>::Index) [with LeftArgType = Eigen::TensorMap, 16, Eigen::MakePointer>; RightArgType = const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; Device = Eigen::ThreadPoolDevice; Eigen::TensorEvaluator, Device>::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:118:11: required from 'static void Eigen::internal::EvalRange::run(Evaluator*, Index, Index) [with Evaluator = Eigen::TensorEvaluator, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice>; Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:157:74: required from 'Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&)::::Index, Eigen::internal::TensorExecutor::Index)> [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true; Eigen::internal::TensorExecutor::Index = int]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:156:28: required from 'struct Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]::, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index, Eigen::internal::TensorExecutor, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >, Eigen::ThreadPoolDevice, true>::Index)>' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:154:7: required from 'static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 16, Eigen::MakePointer>, const Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> > >; bool Vectorizable = true]' external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:35:62: required from 'Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMirrorPadOp, 4>, const Eigen::TensorMap, 16, Eigen::MakePointer> >; ExpressionType = Eigen::TensorMap, 16, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]' ./tensorflow/core/kernels/mirror_pad_op.h:351:27: required from 'void tensorflow::functor::MirrorPad::operator()(const Device&, typename tensorflow::TTypes::Tensor, typename tensorflow::TTypes::ConstTensor, tensorflow::TTypes::ConstMatrix, int) [with Device = Eigen::ThreadPoolDevice; T = double; int Dims = 4; typename tensorflow::TTypes::Tensor = Eigen::TensorMap, 16, Eigen::MakePointer>; typename tensorflow::TTypes::ConstTensor = Eigen::TensorMap, 16, Eigen::MakePointer>; tensorflow::TTypes::ConstMatrix = Eigen::TensorMap, 16, Eigen::MakePointer>]' ./tensorflow/core/kernels/mirror_pad_op_cpu_impl.h:30:1: required from here ./tensorflow/core/kernels/mirror_pad_op.h:180:19: warning: ignoring attributes on template argument 'Eigen::PacketType::type {aka __vector(2) double}' [-Wignored-attributes] INFO: From Compiling tensorflow/core/kernels/padded_batch_dataset_op.cc: tensorflow/core/kernels/padded_batch_dataset_op.cc: In member function 'virtual void tensorflow::{anonymous}::PaddedBatchDatasetOp::MakeDataset(tensorflow::OpKernelContext*, tensorflow::DatasetBase*, tensorflow::DatasetBase**)': tensorflow/core/kernels/padded_batch_dataset_op.cc:196:23: warning: 'batch_size' may be used uninitialized in this function [-Wmaybe-uninitialized] input_(input) { ^ tensorflow/core/kernels/padded_batch_dataset_op.cc:131:11: note: 'batch_size' was declared here int64 batch_size; ^~~~~~~~~~ INFO: From Compiling tensorflow/cc/training/queue_runner.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/cc/training/coordinator.h:26, from ./tensorflow/cc/training/queue_runner.h:24, from tensorflow/cc/training/queue_runner.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/kernels/range_dataset_op.cc: tensorflow/core/kernels/range_dataset_op.cc: In member function 'virtual void tensorflow::{anonymous}::RangeDatasetOp::MakeDataset(tensorflow::OpKernelContext*, tensorflow::DatasetBase**)': tensorflow/core/kernels/range_dataset_op.cc:50:72: warning: 'step' may be used uninitialized in this function [-Wmaybe-uninitialized] : GraphDatasetBase(ctx), start_(start), stop_(stop), step_(step) {} ^ tensorflow/core/kernels/range_dataset_op.cc:38:11: note: 'step' was declared here int64 step; ^~~~ tensorflow/core/kernels/range_dataset_op.cc:50:72: warning: 'stop' may be used uninitialized in this function [-Wmaybe-uninitialized] : GraphDatasetBase(ctx), start_(start), stop_(stop), step_(step) {} ^ tensorflow/core/kernels/range_dataset_op.cc:35:11: note: 'stop' was declared here int64 stop; ^~~~ tensorflow/core/kernels/range_dataset_op.cc:50:72: warning: 'start' may be used uninitialized in this function [-Wmaybe-uninitialized] : GraphDatasetBase(ctx), start_(start), stop_(stop), step_(step) {} ^ tensorflow/core/kernels/range_dataset_op.cc:32:11: note: 'start' was declared here int64 start; ^~~~~ INFO: From Compiling tensorflow/core/kernels/queue_base.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/framework/op_kernel.h:23, from ./tensorflow/core/kernels/queue_base.h:22, from tensorflow/core/kernels/queue_base.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/profiler/internal/tfprof_code.cc: In file included from ./tensorflow/core/profiler/internal/tfprof_show.h:33:0, from ./tensorflow/core/profiler/internal/tfprof_show_multi.h:33, from ./tensorflow/core/profiler/internal/tfprof_code.h:32, from tensorflow/core/profiler/internal/tfprof_code.cc:16: ./tensorflow/core/profiler/internal/tfprof_tensor.h: In member function 'bool tensorflow::tfprof::TFProfTensor::AddValue(const T&, tensorflow::tfprof::TFProfTensorProto*)': ./tensorflow/core/profiler/internal/tfprof_tensor.h:79:3: warning: no return statement in function returning non-void [-Wreturn-type] } ^ INFO: From Compiling tensorflow/cc/gradients/data_flow_grad.cc: In file included from bazel-out/k8-py3-opt/genfiles/tensorflow/cc/ops/data_flow_ops.h:8:0, from tensorflow/cc/gradients/data_flow_grad.cc:16: ./tensorflow/cc/framework/ops.h: In instantiation of 'tensorflow::Input::Initializer::Initializer(const std::initializer_list<_Tp>&, const tensorflow::TensorShape&) [with T = int; = void]': bazel-out/k8-py3-opt/genfiles/tensorflow/cc/ops/logging_ops.h:217:70: required from here ./tensorflow/cc/framework/ops.h:153:27: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (t.NumElements() != v.size()) { INFO: From Compiling tensorflow/core/grappler/optimizers/graph_rewriter.cc: tensorflow/core/grappler/optimizers/graph_rewriter.cc: In member function 'void tensorflow::grappler::GraphRewriter::RecordConnectivity(const tensorflow::NodeDef&, const std::unordered_set >&)': tensorflow/core/grappler/optimizers/graph_rewriter.cc:124:20: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (position < fanin_info->outputs.size() && ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/core/kernels/barrier_ops.cc: In file included from ./tensorflow/core/kernels/priority_queue.h:27:0, from tensorflow/core/kernels/barrier_ops.cc:28: ./tensorflow/core/kernels/typed_queue.h:91:7: warning: 'tensorflow::int64 tensorflow::{anonymous}::SizeOf(const SubQueue&) [with SubQueue = std::vector]' defined but not used [-Wunused-function] int64 SizeOf(const std::vector& sq) { ^~~~~~ ./tensorflow/core/kernels/typed_queue.h:83:7: warning: 'tensorflow::int64 tensorflow::{anonymous}::SizeOf(const SubQueue&) [with SubQueue = std::deque]' defined but not used [-Wunused-function] int64 SizeOf(const std::deque& sq) { ^~~~~~ INFO: From Compiling tensorflow/core/distributed_runtime/tensor_coding.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/distributed_runtime/tensor_coding.h:19, from tensorflow/core/distributed_runtime/tensor_coding.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ [3,249 / 3,292] Compiling tensorflow/core/kernels/cwise_op_log.cc; 1s local ... (2 actions running) INFO: From Compiling tensorflow/core/kernels/take_dataset_op.cc: tensorflow/core/kernels/take_dataset_op.cc: In member function 'virtual void tensorflow::{anonymous}::TakeDatasetOp::MakeDataset(tensorflow::OpKernelContext*, tensorflow::DatasetBase*, tensorflow::DatasetBase**)': tensorflow/core/kernels/take_dataset_op.cc:45:38: warning: 'count' may be used uninitialized in this function [-Wmaybe-uninitialized] : count_(count), input_(input) { ^ tensorflow/core/kernels/take_dataset_op.cc:36:11: note: 'count' was declared here int64 count; ^~~~~ INFO: From Compiling tensorflow/core/profiler/internal/tfprof_graph.cc: In file included from ./tensorflow/core/profiler/internal/tfprof_show.h:33:0, from ./tensorflow/core/profiler/internal/tfprof_graph.h:34, from tensorflow/core/profiler/internal/tfprof_graph.cc:16: ./tensorflow/core/profiler/internal/tfprof_tensor.h: In member function 'bool tensorflow::tfprof::TFProfTensor::AddValue(const T&, tensorflow::tfprof::TFProfTensorProto*)': ./tensorflow/core/profiler/internal/tfprof_tensor.h:79:3: warning: no return statement in function returning non-void [-Wreturn-type] } ^ INFO: From Compiling tensorflow/core/grappler/optimizers/meta_optimizer.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/variant.h:29, from ./tensorflow/core/framework/allocator.h:26, from ./tensorflow/core/framework/tensor.h:20, from ./tensorflow/core/framework/device_base.h:23, from ./tensorflow/core/grappler/optimizers/meta_optimizer.h:19, from tensorflow/core/grappler/optimizers/meta_optimizer.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/python/framework/test_ops.cc [for host]: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/lib/core/errors.h:19, from ./tensorflow/core/framework/tensor_shape.h:23, from ./tensorflow/core/framework/partial_tensor_shape.h:20, from ./tensorflow/core/framework/attr_value_util.h:23, from ./tensorflow/core/framework/node_def_util.h:23, from ./tensorflow/core/framework/shape_inference.h:20, from ./tensorflow/core/framework/common_shape_fns.h:20, from tensorflow/python/framework/test_ops.cc:16: ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetTensorDim(tensorflow::gtl::ArraySlice, tensorflow::TensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:372:47: required from here ./tensorflow/core/util/tensor_format.h:340:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attributes.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:340:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attributes.size()) ^ ./tensorflow/core/util/tensor_format.h: In instantiation of 'T tensorflow::GetFilterDim(tensorflow::gtl::ArraySlice, tensorflow::FilterTensorFormat, char) [with T = long long int]': ./tensorflow/core/util/tensor_format.h:381:54: required from here ./tensorflow/core/util/tensor_format.h:355:29: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] CHECK(index >= 0 && index < dimension_attribute.size()) ./tensorflow/core/platform/macros.h:78:30: note: in definition of macro 'TF_PREDICT_FALSE' #define TF_PREDICT_FALSE(x) (x) ^ ./tensorflow/core/util/tensor_format.h:355:3: note: in expansion of macro 'CHECK' CHECK(index >= 0 && index < dimension_attribute.size()) ^ INFO: From Compiling tensorflow/core/lib/strings/numbers.cc: tensorflow/core/lib/strings/numbers.cc: In function 'std::__cxx11::string tensorflow::strings::HumanReadableNumBytes(tensorflow::int64)': tensorflow/core/lib/strings/numbers.cc:424:8: warning: '%lld' directive output may be truncated writing between 1 and 19 bytes into a region of size between 7 and 8 [-Wformat-truncation=] string HumanReadableNumBytes(int64 num_bytes) { ^~~~~~~~~~~~~~~~~~~~~ tensorflow/core/lib/strings/numbers.cc:424:8: note: directive argument in the range [0, 9223372036854775807] In file included from /usr/include/stdio.h:862:0, from /usr/lib/gcc/x86_64-redhat-linux/7/../../../../include/c++/7/cstdio:42, from /usr/lib/gcc/x86_64-redhat-linux/7/../../../../include/c++/7/ext/string_conversions.h:43, from /usr/lib/gcc/x86_64-redhat-linux/7/../../../../include/c++/7/bits/basic_string.h:6347, from /usr/lib/gcc/x86_64-redhat-linux/7/../../../../include/c++/7/string:52, from ./tensorflow/core/lib/strings/numbers.h:19, from tensorflow/core/lib/strings/numbers.cc:15: /usr/include/bits/stdio2.h:65:44: note: '__builtin_snprintf' output between 3 and 22 bytes into a destination of size 8 __bos (__s), __fmt, __va_arg_pack ()); ^ INFO: From Compiling tensorflow/core/framework/op_kernel.cc: tensorflow/core/framework/op_kernel.cc:956:8: warning: 'tensorflow::Status tensorflow::{anonymous}::FindKernelRegistration(const tensorflow::DeviceType&, const tensorflow::Node&, const tensorflow::KernelRegistration**, bool*)' defined but not used [-Wunused-function] Status FindKernelRegistration(const DeviceType& device_type, const Node& node, ^~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/stream_executor/stream.cc: tensorflow/stream_executor/stream.cc: In function 'std::__cxx11::string perftools::gputools::{anonymous}::ToVlogString(perftools::gputools::dnn::DataType)': tensorflow/stream_executor/stream.cc:184:1: warning: control reaches end of non-void function [-Wreturn-type] } ^ INFO: From Compiling tensorflow/core/common_runtime/gpu/process_state.cc: tensorflow/core/common_runtime/gpu/process_state.cc:62:6: warning: 'bool tensorflow::{anonymous}::useCudaMemoryGuardAllocator()' defined but not used [-Wunused-function] bool useCudaMemoryGuardAllocator() { ^~~~~~~~~~~~~~~~~~~~~~~~~~~ tensorflow/core/common_runtime/gpu/process_state.cc:53:6: warning: 'bool tensorflow::{anonymous}::useCudaMallocAllocator()' defined but not used [-Wunused-function] bool useCudaMallocAllocator() { ^~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/stream_executor/stream_executor_pimpl.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/stream_executor/lib/status.h:21, from ./tensorflow/stream_executor/stream_executor_pimpl.h:25, from tensorflow/stream_executor/stream_executor_pimpl.cc:20: ./tensorflow/core/platform/default/logging.h: In instantiation of 'std::__cxx11::string* tensorflow::internal::Check_EQImpl(const T1&, const T2&, const char*) [with T1 = int; T2 = long long unsigned int; std::__cxx11::string = std::__cxx11::basic_string]': tensorflow/stream_executor/stream_executor_pimpl.cc:628:3: required from here ./tensorflow/core/platform/default/logging.h:228:25: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] == ) // Compilation error with CHECK_EQ(NULL, x)? ./tensorflow/core/platform/macros.h:79:29: note: in definition of macro 'TF_PREDICT_TRUE' #define TF_PREDICT_TRUE(x) (x) ^ ./tensorflow/core/platform/default/logging.h:227:1: note: in expansion of macro 'TF_DEFINE_CHECK_OP_IMPL' TF_DEFINE_CHECK_OP_IMPL(Check_EQ, ^~~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling external/snappy/snappy-stubs-internal.cc: cc1plus: warning: command line option '-Wno-implicit-function-declaration' is valid for C/ObjC but not for C++ INFO: From Compiling external/snappy/snappy.cc: cc1plus: warning: command line option '-Wno-implicit-function-declaration' is valid for C/ObjC but not for C++ external/snappy/snappy.cc: In member function 'void snappy::SnappySinkAllocator::Flush(size_t)': external/snappy/snappy.cc:1403:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < blocks_.size(); ++i) { ~~^~~~~~~~~~~~~~~~ In file included from external/snappy/snappy-internal.h:34:0, from external/snappy/snappy.cc:30: external/snappy/snappy.cc: In instantiation of 'bool snappy::SnappyScatteredWriter::AppendFromSelf(size_t, size_t) [with Allocator = snappy::SnappySinkAllocator; size_t = long unsigned int]': external/snappy/snappy.cc:715:13: required from 'void snappy::SnappyDecompressor::DecompressAllTags(Writer*) [with Writer = snappy::SnappyScatteredWriter]' external/snappy/snappy.cc:799:3: required from 'bool snappy::InternalUncompressAllTags(snappy::SnappyDecompressor*, Writer*, snappy::uint32) [with Writer = snappy::SnappyScatteredWriter; snappy::uint32 = unsigned int]' external/snappy/snappy.cc:1460:78: required from here external/snappy/snappy.cc:1316:34: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (PREDICT_TRUE(offset - 1u < op_ptr_ - op_base_ && op_end <= op_limit_)) { ~~~~~~~~~~~~^~~~~~~~~~~~~ external/snappy/snappy-stubs-internal.h:80:25: note: in definition of macro 'PREDICT_TRUE' #define PREDICT_TRUE(x) x ^ INFO: From Compiling external/snappy/snappy-sinksource.cc: cc1plus: warning: command line option '-Wno-implicit-function-declaration' is valid for C/ObjC but not for C++ INFO: From Compiling external/snappy/snappy-c.cc: cc1plus: warning: command line option '-Wno-implicit-function-declaration' is valid for C/ObjC but not for C++ INFO: From Compiling tensorflow/core/protobuf/config.pb_text.cc: bazel-out/k8-py3-opt/genfiles/tensorflow/core/protobuf/config.pb_text.cc: In function 'bool tensorflow::internal::ProtoParseFromScanner(tensorflow::strings::Scanner*, bool, bool, tensorflow::ConfigProto*)': bazel-out/k8-py3-opt/genfiles/tensorflow/core/protobuf/config.pb_text.cc:628:23: warning: 'map_value' may be used uninitialized in this function [-Wmaybe-uninitialized] (*map)[map_key] = map_value; bazel-out/k8-py3-opt/genfiles/tensorflow/core/protobuf/config.pb_text.cc:619:9: note: 'map_value' was declared here int32 map_value; ^~~~~~~~~ INFO: From ProtoCompile tensorflow/contrib/boosted_trees/proto/tree_config.pb.cc: bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. INFO: From ProtoCompile tensorflow/contrib/boosted_trees/proto/learner.pb.cc: bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. INFO: From Compiling tensorflow/contrib/boosted_trees/lib/learner/common/partitioners/example_partitioner.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/contrib/boosted_trees/lib/utils/optional_value.h:19, from ./tensorflow/contrib/boosted_trees/lib/utils/example.h:21, from ./tensorflow/contrib/boosted_trees/lib/trees/decision_tree.h:18, from ./tensorflow/contrib/boosted_trees/lib/learner/common/partitioners/example_partitioner.h:19, from tensorflow/contrib/boosted_trees/lib/learner/common/partitioners/example_partitioner.cc:15: ./tensorflow/core/platform/default/logging.h: In instantiation of 'std::__cxx11::string* tensorflow::internal::Check_LTImpl(const T1&, const T2&, const char*) [with T1 = long long int; T2 = long unsigned int; std::__cxx11::string = std::__cxx11::basic_string]': ./tensorflow/core/util/sparse/dim_comparator.h:56:7: required from here ./tensorflow/core/platform/default/logging.h:231:35: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] TF_DEFINE_CHECK_OP_IMPL(Check_LT, < ) ./tensorflow/core/platform/macros.h:79:29: note: in definition of macro 'TF_PREDICT_TRUE' #define TF_PREDICT_TRUE(x) (x) ^ ./tensorflow/core/platform/default/logging.h:231:1: note: in expansion of macro 'TF_DEFINE_CHECK_OP_IMPL' TF_DEFINE_CHECK_OP_IMPL(Check_LT, < ) ^~~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/contrib/factorization/kernels/wals_solver_ops.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/core/lib/core/status.h:25, from ./tensorflow/core/framework/op_def_builder.h:25, from ./tensorflow/core/framework/op.h:23, from tensorflow/contrib/factorization/kernels/wals_solver_ops.cc:26: ./tensorflow/core/platform/default/logging.h: In instantiation of 'std::__cxx11::string* tensorflow::internal::Check_LEImpl(const T1&, const T2&, const char*) [with T1 = long unsigned int; T2 = long long int; std::__cxx11::string = std::__cxx11::basic_string]': tensorflow/contrib/factorization/kernels/wals_solver_ops.cc:170:5: required from here ./tensorflow/core/platform/default/logging.h:230:35: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] TF_DEFINE_CHECK_OP_IMPL(Check_LE, <= ) ./tensorflow/core/platform/macros.h:79:29: note: in definition of macro 'TF_PREDICT_TRUE' #define TF_PREDICT_TRUE(x) (x) ^ ./tensorflow/core/platform/default/logging.h:230:1: note: in expansion of macro 'TF_DEFINE_CHECK_OP_IMPL' TF_DEFINE_CHECK_OP_IMPL(Check_LE, <= ) ^~~~~~~~~~~~~~~~~~~~~~~ ./tensorflow/core/platform/default/logging.h: In instantiation of 'std::__cxx11::string* tensorflow::internal::Check_LEImpl(const T1&, const T2&, const char*) [with T1 = long long int; T2 = long unsigned int; std::__cxx11::string = std::__cxx11::basic_string]': tensorflow/contrib/factorization/kernels/wals_solver_ops.cc:213:7: required from here ./tensorflow/core/platform/default/logging.h:230:35: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] TF_DEFINE_CHECK_OP_IMPL(Check_LE, <= ) ./tensorflow/core/platform/macros.h:79:29: note: in definition of macro 'TF_PREDICT_TRUE' #define TF_PREDICT_TRUE(x) (x) ^ ./tensorflow/core/platform/default/logging.h:230:1: note: in expansion of macro 'TF_DEFINE_CHECK_OP_IMPL' TF_DEFINE_CHECK_OP_IMPL(Check_LE, <= ) ^~~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/contrib/boosted_trees/lib/models/multiple_additive_trees.cc: tensorflow/contrib/boosted_trees/lib/models/multiple_additive_trees.cc: In lambda function: tensorflow/contrib/boosted_trees/lib/models/multiple_additive_trees.cc:56:48: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t logit_dim = 0; logit_dim < leaf.index_size(); ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ tensorflow/contrib/boosted_trees/lib/models/multiple_additive_trees.cc:65:32: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < leaf.value_size(); ++i) { ~~^~~~~~~~~~~~~~~~~~~ In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/contrib/boosted_trees/lib/utils/optional_value.h:19, from ./tensorflow/contrib/boosted_trees/lib/utils/example.h:21, from ./tensorflow/contrib/boosted_trees/lib/utils/examples_iterable.h:21, from ./tensorflow/contrib/boosted_trees/lib/utils/batch_features.h:19, from ./tensorflow/contrib/boosted_trees/lib/models/multiple_additive_trees.h:20, from tensorflow/contrib/boosted_trees/lib/models/multiple_additive_trees.cc:15: ./tensorflow/core/platform/default/logging.h: In instantiation of 'std::__cxx11::string* tensorflow::internal::Check_LTImpl(const T1&, const T2&, const char*) [with T1 = long long int; T2 = long unsigned int; std::__cxx11::string = std::__cxx11::basic_string]': ./tensorflow/core/util/sparse/dim_comparator.h:56:7: required from here ./tensorflow/core/platform/default/logging.h:231:35: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] TF_DEFINE_CHECK_OP_IMPL(Check_LT, < ) ./tensorflow/core/platform/macros.h:79:29: note: in definition of macro 'TF_PREDICT_TRUE' #define TF_PREDICT_TRUE(x) (x) ^ ./tensorflow/core/platform/default/logging.h:231:1: note: in expansion of macro 'TF_DEFINE_CHECK_OP_IMPL' TF_DEFINE_CHECK_OP_IMPL(Check_LT, < ) ^~~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/contrib/boosted_trees/lib/utils/examples_iterable.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/contrib/boosted_trees/lib/utils/optional_value.h:19, from ./tensorflow/contrib/boosted_trees/lib/utils/example.h:21, from ./tensorflow/contrib/boosted_trees/lib/utils/examples_iterable.h:21, from tensorflow/contrib/boosted_trees/lib/utils/examples_iterable.cc:15: ./tensorflow/core/platform/default/logging.h: In instantiation of 'std::__cxx11::string* tensorflow::internal::Check_LTImpl(const T1&, const T2&, const char*) [with T1 = long long int; T2 = long unsigned int; std::__cxx11::string = std::__cxx11::basic_string]': ./tensorflow/core/util/sparse/dim_comparator.h:56:7: required from here ./tensorflow/core/platform/default/logging.h:231:35: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] TF_DEFINE_CHECK_OP_IMPL(Check_LT, < ) ./tensorflow/core/platform/macros.h:79:29: note: in definition of macro 'TF_PREDICT_TRUE' #define TF_PREDICT_TRUE(x) (x) ^ ./tensorflow/core/platform/default/logging.h:231:1: note: in expansion of macro 'TF_DEFINE_CHECK_OP_IMPL' TF_DEFINE_CHECK_OP_IMPL(Check_LT, < ) ^~~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/contrib/boosted_trees/lib/utils/batch_features.cc: In file included from ./tensorflow/core/platform/default/logging.h:24:0, from ./tensorflow/core/platform/logging.h:25, from ./tensorflow/contrib/boosted_trees/lib/utils/optional_value.h:19, from ./tensorflow/contrib/boosted_trees/lib/utils/example.h:21, from ./tensorflow/contrib/boosted_trees/lib/utils/examples_iterable.h:21, from ./tensorflow/contrib/boosted_trees/lib/utils/batch_features.h:19, from tensorflow/contrib/boosted_trees/lib/utils/batch_features.cc:16: ./tensorflow/core/platform/default/logging.h: In instantiation of 'std::__cxx11::string* tensorflow::internal::Check_LTImpl(const T1&, const T2&, const char*) [with T1 = long long int; T2 = long unsigned int; std::__cxx11::string = std::__cxx11::basic_string]': ./tensorflow/core/util/sparse/dim_comparator.h:56:7: required from here ./tensorflow/core/platform/default/logging.h:231:35: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] TF_DEFINE_CHECK_OP_IMPL(Check_LT, < ) ./tensorflow/core/platform/macros.h:79:29: note: in definition of macro 'TF_PREDICT_TRUE' #define TF_PREDICT_TRUE(x) (x) ^ ./tensorflow/core/platform/default/logging.h:231:1: note: in expansion of macro 'TF_DEFINE_CHECK_OP_IMPL' TF_DEFINE_CHECK_OP_IMPL(Check_LT, < ) ^~~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/contrib/boosted_trees/lib/utils/dropout_utils.cc: tensorflow/contrib/boosted_trees/lib/utils/dropout_utils.cc: In static member function 'static tensorflow::Status tensorflow::boosted_trees::utils::DropoutUtils::DropOutTrees(tensorflow::uint64, const tensorflow::boosted_trees::learner::LearningRateDropoutDrivenConfig&, const std::unordered_set&, const std::vector&, std::vector*, std::vector*)': tensorflow/contrib/boosted_trees/lib/utils/dropout_utils.cc:85:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int32 i = 0; i < num_trees; ++i) { ~~^~~~~~~~~~~ tensorflow/contrib/boosted_trees/lib/utils/dropout_utils.cc: In static member function 'static void tensorflow::boosted_trees::utils::DropoutUtils::GetTreesWeightsForAddingTrees(const std::vector&, const std::vector&, tensorflow::int32, tensorflow::int32, std::vector*, std::vector*)': tensorflow/contrib/boosted_trees/lib/utils/dropout_utils.cc:127:24: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (new_tree_index < current_weights->size()) { ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ tensorflow/contrib/boosted_trees/lib/utils/dropout_utils.cc:139:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int32 i = 0; i < dropped_trees.size(); ++i) { ~~^~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/bias-feature-column-handler.cc: In file included from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/node-stats.h:20:0, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/split-stats.h:20, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/feature-split-candidate.h:19, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/feature-column-handler.h:21, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/bias-feature-column-handler.h:18, from tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/bias-feature-column-handler.cc:15: ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/gradient-stats.h: In member function 'tensorflow::boosted_trees::learner::stochastic::TensorStat& tensorflow::boosted_trees::learner::stochastic::TensorStat::operator*=(float)': ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/gradient-stats.h:75:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < me_flat.size(); i++) { ~~^~~~~~~~~~~~~~~~ In file included from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/split-stats.h:20:0, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/feature-split-candidate.h:19, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/feature-column-handler.h:21, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/bias-feature-column-handler.h:18, from tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/bias-feature-column-handler.cc:15: ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/node-stats.h: In member function 'void tensorflow::boosted_trees::learner::stochastic::NodeStats::FillLeaf(int, tensorflow::boosted_trees::trees::Leaf*) const': ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/node-stats.h:228:25: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < weight_contribution.size(); i++) { ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ INFO: From Compiling tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/dense-quantized-feature-column-handler.cc: In file included from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/node-stats.h:20:0, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/split-stats.h:20, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/feature-split-candidate.h:19, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/feature-column-handler.h:21, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/dense-quantized-feature-column-handler.h:18, from tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/dense-quantized-feature-column-handler.cc:15: ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/gradient-stats.h: In member function 'tensorflow::boosted_trees::learner::stochastic::TensorStat& tensorflow::boosted_trees::learner::stochastic::TensorStat::operator*=(float)': ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/gradient-stats.h:75:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < me_flat.size(); i++) { ~~^~~~~~~~~~~~~~~~ In file included from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/split-stats.h:20:0, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/feature-split-candidate.h:19, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/feature-column-handler.h:21, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/dense-quantized-feature-column-handler.h:18, from tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/dense-quantized-feature-column-handler.cc:15: ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/node-stats.h: In member function 'void tensorflow::boosted_trees::learner::stochastic::NodeStats::FillLeaf(int, tensorflow::boosted_trees::trees::Leaf*) const': ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/node-stats.h:228:25: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < weight_contribution.size(); i++) { ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ INFO: From ProtoCompile tensorflow/contrib/boosted_trees/proto/quantiles.pb.cc: bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. INFO: From Compiling tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/sparse-quantized-feature-column-handler.cc: In file included from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/node-stats.h:20:0, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/split-stats.h:20, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/feature-split-candidate.h:19, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/feature-column-handler.h:21, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/sparse-quantized-feature-column-handler.h:19, from tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/sparse-quantized-feature-column-handler.cc:15: ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/gradient-stats.h: In member function 'tensorflow::boosted_trees::learner::stochastic::TensorStat& tensorflow::boosted_trees::learner::stochastic::TensorStat::operator*=(float)': ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/gradient-stats.h:75:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < me_flat.size(); i++) { ~~^~~~~~~~~~~~~~~~ In file included from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/split-stats.h:20:0, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/feature-split-candidate.h:19, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/feature-column-handler.h:21, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/sparse-quantized-feature-column-handler.h:19, from tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/sparse-quantized-feature-column-handler.cc:15: ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/node-stats.h: In member function 'void tensorflow::boosted_trees::learner::stochastic::NodeStats::FillLeaf(int, tensorflow::boosted_trees::trees::Leaf*) const': ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/node-stats.h:228:25: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < weight_contribution.size(); i++) { ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ INFO: From ProtoCompile tensorflow/contrib/boosted_trees/proto/split_info.pb.cc: bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. bazel-out/k8-py3-opt/genfiles/external/protobuf_archive/src: warning: directory does not exist. INFO: From Compiling tensorflow/contrib/boosted_trees/lib/trees/decision_tree.cc: tensorflow/contrib/boosted_trees/lib/trees/decision_tree.cc: In static member function 'static std::vector tensorflow::boosted_trees::trees::DecisionTree::GetChildren(const tensorflow::boosted_trees::trees::TreeNode&)': tensorflow/contrib/boosted_trees/lib/trees/decision_tree.cc:197:1: warning: control reaches end of non-void function [-Wreturn-type] } ^ INFO: From Compiling tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/categorical-feature-column-handler.cc: In file included from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/node-stats.h:20:0, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/split-stats.h:20, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/feature-split-candidate.h:19, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/feature-column-handler.h:21, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/categorical-feature-column-handler.h:19, from tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/categorical-feature-column-handler.cc:15: ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/gradient-stats.h: In member function 'tensorflow::boosted_trees::learner::stochastic::TensorStat& tensorflow::boosted_trees::learner::stochastic::TensorStat::operator*=(float)': ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/gradient-stats.h:75:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (size_t i = 0; i < me_flat.size(); i++) { ~~^~~~~~~~~~~~~~~~ In file included from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/split-stats.h:20:0, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/feature-split-candidate.h:19, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/feature-column-handler.h:21, from ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/categorical-feature-column-handler.h:19, from tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/categorical-feature-column-handler.cc:15: ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/node-stats.h: In member function 'void tensorflow::boosted_trees::learner::stochastic::NodeStats::FillLeaf(int, tensorflow::boosted_trees::trees::Leaf*) const': ./tensorflow/contrib/boosted_trees/lib/learner/stochastic/stats/node-stats.h:228:25: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] for (int i = 0; i < weight_contribution.size(); i++) { ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/categorical-feature-column-handler.cc: In member function 'virtual void tensorflow::boosted_trees::learner::stochastic::CategoricalFeatureColumnHandler::GenerateFeatureSplitCandidates(const tensorflow::boosted_trees::learner::LearnerConfig&, const std::vector&, const std::vector&, const tensorflow::boosted_trees::learner::FeatureStatsAccumulator&, std::vector*) const': tensorflow/contrib/boosted_trees/lib/learner/stochastic/handlers/categorical-feature-column-handler.cc:127:34: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (entry.first.feature_id < best_split_feature_id) { ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ [3,774 / 3,779] Compiling tensorflow/contrib/boosted_trees/ops/quantile_ops.cc; 0s local ... (2 actions running) INFO: From Compiling tensorflow/contrib/boosted_trees/kernels/split_handler_ops.cc: tensorflow/contrib/boosted_trees/kernels/split_handler_ops.cc: In member function 'virtual void tensorflow::BuildCategoricalEqualitySplitsOp::Compute(tensorflow::OpKernelContext*)': tensorflow/contrib/boosted_trees/kernels/split_handler_ops.cc:526:15: warning: 'class_id' may be used uninitialized in this function [-Wmaybe-uninitialized] FillLeaf(class_id, best_right_node_stats, right_child); ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Target //tensorflow/tools/pip_package:build_pip_package up-to-date: bazel-bin/tensorflow/tools/pip_package/build_pip_package INFO: Elapsed time: 4296.312s, Critical Path: 66.57s INFO: Build completed successfully, 3856 total actions + bash bazel-bin/tensorflow/tools/pip_package/build_pip_package tensorflow_pkg Sat Dec 30 21:43:56 UTC 2017 : === Using tmpdir: /tmp/tmp.DDc7btIpUG ~/build/BUILD/tensorflow-1.4.1/bazel-bin/tensorflow/tools/pip_package/build_pip_package.runfiles ~/build/BUILD/tensorflow-1.4.1 ~/build/BUILD/tensorflow-1.4.1 /tmp/tmp.DDc7btIpUG ~/build/BUILD/tensorflow-1.4.1 Sat Dec 30 21:43:57 UTC 2017 : === Building wheel warning: no files found matching '*.dll' under directory '*' warning: no files found matching '*.lib' under directory '*' warning: no files found matching '*.h' under directory 'tensorflow/include/tensorflow' warning: no files found matching '*' under directory 'tensorflow/include/Eigen' warning: no files found matching '*' under directory 'tensorflow/include/external' warning: no files found matching '*.h' under directory 'tensorflow/include/google' warning: no files found matching '*' under directory 'tensorflow/include/third_party' warning: no files found matching '*' under directory 'tensorflow/include/unsupported' ~/build/BUILD/tensorflow-1.4.1 Sat Dec 30 21:44:08 UTC 2017 : === Output wheel file is in: /builddir/build/BUILD/tensorflow-1.4.1/tensorflow_pkg + exit 0 Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.nwRS83 + umask 022 + cd /builddir/build/BUILD + '[' /builddir/build/BUILDROOT/tensorflow-1.4.1-1.fc28.x86_64 '!=' / ']' + rm -rf /builddir/build/BUILDROOT/tensorflow-1.4.1-1.fc28.x86_64 ++ dirname /builddir/build/BUILDROOT/tensorflow-1.4.1-1.fc28.x86_64 + mkdir -p /builddir/build/BUILDROOT + mkdir /builddir/build/BUILDROOT/tensorflow-1.4.1-1.fc28.x86_64 + cd tensorflow-1.4.1 + pip3 install -t /builddir/build/BUILDROOT/tensorflow-1.4.1-1.fc28.x86_64/usr/lib/python3.6/site-packages --no-dependencies tensorflow_pkg/tensorflow-1.4.1-cp36-cp36m-linux_x86_64.whl Processing ./tensorflow_pkg/tensorflow-1.4.1-cp36-cp36m-linux_x86_64.whl Installing collected packages: tensorflow Successfully installed tensorflow-1.4.1 + rm -rf /builddir/build/BUILDROOT/tensorflow-1.4.1-1.fc28.x86_64/usr/lib/python3.6/site-packages/tensorflow-1.4.1.dist-info + rm -rf /builddir/build/BUILDROOT/tensorflow-1.4.1-1.fc28.x86_64/usr/lib/python3.6/site-packages/external + /usr/lib/rpm/check-buildroot + /usr/lib/rpm/brp-compress + /usr/lib/rpm/brp-strip /usr/bin/strip + /usr/lib/rpm/brp-strip-comment-note /usr/bin/strip /usr/bin/objdump + /usr/lib/rpm/brp-strip-static-archive /usr/bin/strip + /usr/lib/rpm/brp-python-bytecompile /usr/bin/python 1 Bytecompiling .py files below /builddir/build/BUILDROOT/tensorflow-1.4.1-1.fc28.x86_64/usr/lib/python3.6 using /usr/bin/python3.6 + /usr/lib/rpm/brp-python-hardlink Executing(%check): /bin/sh -e /var/tmp/rpm-tmp.h6R0YK Processing files: tensorflow-1.4.1-1.fc28.x86_64 + umask 022 + cd /builddir/build/BUILD + cd tensorflow-1.4.1 + exit 0 Provides: libforestprotos.so()(64bit) libtensorflow_framework.so()(64bit) tensorflow = 1.4.1-1.fc28 tensorflow(x86-64) = 1.4.1-1.fc28 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PartialHardlinkSets) <= 4.0.4-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Requires: ld-linux-x86-64.so.2()(64bit) ld-linux-x86-64.so.2(GLIBC_2.3)(64bit) libc.so.6()(64bit) libc.so.6(GLIBC_2.10)(64bit) libc.so.6(GLIBC_2.11)(64bit) libc.so.6(GLIBC_2.14)(64bit) libc.so.6(GLIBC_2.16)(64bit) libc.so.6(GLIBC_2.17)(64bit) libc.so.6(GLIBC_2.2.5)(64bit) libc.so.6(GLIBC_2.3)(64bit) libc.so.6(GLIBC_2.3.2)(64bit) libc.so.6(GLIBC_2.3.4)(64bit) libc.so.6(GLIBC_2.4)(64bit) libc.so.6(GLIBC_2.6)(64bit) libc.so.6(GLIBC_2.7)(64bit) libc.so.6(GLIBC_2.9)(64bit) libdl.so.2()(64bit) libdl.so.2(GLIBC_2.2.5)(64bit) libforestprotos.so()(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libm.so.6()(64bit) libm.so.6(GLIBC_2.2.5)(64bit) libm.so.6(GLIBC_2.23)(64bit) libm.so.6(GLIBC_2.27)(64bit) libpthread.so.0()(64bit) libpthread.so.0(GLIBC_2.12)(64bit) libpthread.so.0(GLIBC_2.2.5)(64bit) libpthread.so.0(GLIBC_2.3.2)(64bit) libpthread.so.0(GLIBC_2.3.4)(64bit) librt.so.1()(64bit) libstdc++.so.6()(64bit) libstdc++.so.6(CXXABI_1.3)(64bit) libstdc++.so.6(CXXABI_1.3.5)(64bit) libstdc++.so.6(CXXABI_1.3.7)(64bit) libstdc++.so.6(CXXABI_1.3.8)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.11)(64bit) libstdc++.so.6(GLIBCXX_3.4.14)(64bit) libstdc++.so.6(GLIBCXX_3.4.15)(64bit) libstdc++.so.6(GLIBCXX_3.4.17)(64bit) libstdc++.so.6(GLIBCXX_3.4.18)(64bit) libstdc++.so.6(GLIBCXX_3.4.19)(64bit) libstdc++.so.6(GLIBCXX_3.4.20)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.22)(64bit) libstdc++.so.6(GLIBCXX_3.4.9)(64bit) libtensorflow_framework.so()(64bit) python(abi) = 3.6 rtld(GNU_HASH) Checking for unpackaged file(s): /usr/lib/rpm/check-files /builddir/build/BUILDROOT/tensorflow-1.4.1-1.fc28.x86_64 Wrote: /builddir/build/RPMS/tensorflow-1.4.1-1.fc28.x86_64.rpm Executing(%clean): /bin/sh -e /var/tmp/rpm-tmp.ZX3sgE + umask 022 + cd /builddir/build/BUILD + cd tensorflow-1.4.1 + /usr/bin/rm -rf /builddir/build/BUILDROOT/tensorflow-1.4.1-1.fc28.x86_64 + exit 0 Child return code was: 0