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fix: Pipeline TypeError: can only concatenate list (not "NoneType") to list Using Sou (#5518)
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  • sagemaker-core/src/sagemaker/core/training

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sagemaker-core/src/sagemaker/core/training/configs.py

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@@ -124,28 +124,7 @@ class SourceCode(BaseConfig):
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".ipynb_checkpoints",
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]
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class OutputDataConfig(shapes.OutputDataConfig):
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"""OutputDataConfig.
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Provides the configuration for the output data location of the training job
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(will not be carried over to any model repository or deployment).
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Parameters:
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s3_output_path (Optional[StrPipeVar]):
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The S3 URI where the output data will be stored. This is the location where the
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training job will save its output data, such as model artifacts and logs.
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kms_key_id (Optional[StrPipeVar]):
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The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that
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SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side
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encryption.
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compression_type (Optional[StrPipeVar]):
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The model output compression type. Select None to output an uncompressed model,
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recommended for large model outputs. Defaults to gzip.
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"""
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s3_output_path: Optional[StrPipeVar] = None
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kms_key_id: Optional[StrPipeVar] = None
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compression_type: Optional[StrPipeVar] = None
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class Compute(shapes.ResourceConfig):

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