/* Copyright 2015 The TensorFlow Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
    http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.*/
// Modification Copyright (C) 2018-2026 Intel Corporation
// Protocol buffers for saved tensor slices. It's used for the brain tensor
// ops checkpoints and the V3 checkpoints in dist_belief.

// A checkpoint file is an sstable. The value for each record is a serialized
// SavedTensorSlices message (defined below).
//
// Each checkpoint file has a record with the empty key (""), which corresponds
// to a SavedTensorSlices message that contains a "meta", that serves as a
// table of contents on all the tensor slices saved in this file. Since the key
// is "", it's always the first record in each file.
//
// Each of the rest of the records in a checkpoint stores the raw data of a
// particular tensor slice, in SavedSlice format. The corresponding key is an
// ordered code that encodes the name of the tensor and the slice
// information. The name is also stored in the SaveSlice message for ease of
// debugging and manual examination.
// Modification Copyright (C) 2018-2026 Intel Corporation

syntax = "proto3";

package tensorflow;
option cc_enable_arenas = true;
option java_outer_classname = "SavedTensorSliceProtos";
option java_multiple_files = true;
option java_package = "org.tensorflow.util";

import "ov_tensorflow/tensor_shape.proto";
import "ov_tensorflow/tensor_slice.proto";
import "ov_tensorflow/tensor.proto";
import "ov_tensorflow/types.proto";
import "ov_tensorflow/versions.proto";

// Metadata describing the set of slices of the same tensor saved in a
// checkpoint file.
message SavedSliceMeta {
  // Name of the tensor.
  string name = 1;

  // Shape of the tensor
  TensorShapeProto shape = 2;

  // Type of the tensor
  DataType type = 3;

  // Explicit list of slices saved in the checkpoint file.
  repeated TensorSliceProto slice = 4;
};

// Metadata describing the set of tensor slices saved in a checkpoint file.
// It is always stored at the beginning of each checkpoint file.
message SavedTensorSliceMeta {
  // Each SavedSliceMeta describes the slices for one tensor.
  repeated SavedSliceMeta tensor = 1;

  // Compatibility version of this checkpoint.  See core/public/version.h
  // for version history.
  VersionDef versions = 2;
};

// Saved tensor slice: it stores the name of the tensors, the slice, and the
// raw data.
message SavedSlice {
  // Name of the tensor that this slice belongs to. This must be identical to
  // the name used to encode the key for this record.
  string name = 1;

  // Extent of the slice.  Must have one entry for each of the dimension of the
  // tensor that this slice belongs to.
  TensorSliceProto slice = 2;

  // The raw data of the slice is stored as a TensorProto. Only raw data are
  // stored (we don't fill in fields such as dtype or tensor_shape).
  TensorProto data = 3;
};

// Each record in a v3 checkpoint file is a serialized SavedTensorSlices
// message.
message SavedTensorSlices {
  // This is only present at the first item of each checkpoint file and serves
  // as a table of contents, listing all the tensor slices saved in this file.
  SavedTensorSliceMeta meta = 1;

  // This exists in all but the first item of each checkpoint file.
  SavedSlice data = 2;
};
