class Aws::SageMaker::Types::CreateCompilationJobRequest
@note When making an API call, you may pass CreateCompilationJobRequest
data as a hash: { compilation_job_name: "EntityName", # required role_arn: "RoleArn", # required input_config: { # required s3_uri: "S3Uri", # required data_input_config: "DataInputConfig", # required framework: "TENSORFLOW", # required, accepts TENSORFLOW, KERAS, MXNET, ONNX, PYTORCH, XGBOOST, TFLITE, DARKNET, SKLEARN framework_version: "FrameworkVersion", }, output_config: { # required s3_output_location: "S3Uri", # required target_device: "lambda", # accepts lambda, ml_m4, ml_m5, ml_c4, ml_c5, ml_p2, ml_p3, ml_g4dn, ml_inf1, ml_eia2, jetson_tx1, jetson_tx2, jetson_nano, jetson_xavier, rasp3b, imx8qm, deeplens, rk3399, rk3288, aisage, sbe_c, qcs605, qcs603, sitara_am57x, amba_cv22, amba_cv25, x86_win32, x86_win64, coreml, jacinto_tda4vm, imx8mplus target_platform: { os: "ANDROID", # required, accepts ANDROID, LINUX arch: "X86_64", # required, accepts X86_64, X86, ARM64, ARM_EABI, ARM_EABIHF accelerator: "INTEL_GRAPHICS", # accepts INTEL_GRAPHICS, MALI, NVIDIA }, compiler_options: "CompilerOptions", kms_key_id: "KmsKeyId", }, vpc_config: { security_group_ids: ["NeoVpcSecurityGroupId"], # required subnets: ["NeoVpcSubnetId"], # required }, stopping_condition: { # required max_runtime_in_seconds: 1, max_wait_time_in_seconds: 1, }, tags: [ { key: "TagKey", # required value: "TagValue", # required }, ], }
@!attribute [rw] compilation_job_name
A name for the model compilation job. The name must be unique within the Amazon Web Services Region and within your Amazon Web Services account. @return [String]
@!attribute [rw] role_arn
The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf. During model compilation, Amazon SageMaker needs your permission to: * Read input data from an S3 bucket * Write model artifacts to an S3 bucket * Write logs to Amazon CloudWatch Logs * Publish metrics to Amazon CloudWatch You grant permissions for all of these tasks to an IAM role. To pass this role to Amazon SageMaker, the caller of this API must have the `iam:PassRole` permission. For more information, see [Amazon SageMaker Roles.][1] [1]: https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-roles.html @return [String]
@!attribute [rw] input_config
Provides information about the location of input model artifacts, the name and shape of the expected data inputs, and the framework in which the model was trained. @return [Types::InputConfig]
@!attribute [rw] output_config
Provides information about the output location for the compiled model and the target device the model runs on. @return [Types::OutputConfig]
@!attribute [rw] vpc_config
A VpcConfig object that specifies the VPC that you want your compilation job to connect to. Control access to your models by configuring the VPC. For more information, see [Protect Compilation Jobs by Using an Amazon Virtual Private Cloud][1]. [1]: https://docs.aws.amazon.com/sagemaker/latest/dg/neo-vpc.html @return [Types::NeoVpcConfig]
@!attribute [rw] stopping_condition
Specifies a limit to how long a model compilation job can run. When the job reaches the time limit, Amazon SageMaker ends the compilation job. Use this API to cap model training costs. @return [Types::StoppingCondition]
@!attribute [rw] tags
An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see [Tagging Amazon Web Services Resources][1]. [1]: https://docs.aws.amazon.com/general/latest/gr/aws_tagging.html @return [Array<Types::Tag>]
@see docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/CreateCompilationJobRequest AWS API Documentation
Constants
- SENSITIVE