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update pytorch page
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doc/api/training/sdp_versions/latest.rst

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@@ -15,9 +15,10 @@ Select the latest or one of the previous versions of the API documentation
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depending on the version of the library you use.
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.. important::
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The distributed data parallel library only supports training jobs using CUDA 11. When you define a PyTorch or TensorFlow
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``Estimator`` with ``dataparallel`` parameter ``enabled`` set to ``True``,
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it uses CUDA 11. When you extend or customize your own training image
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The distributed data parallel library only supports training jobs using CUDA 11 or later.
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When you define a SageMaker ``PyTorch`` or ``TensorFlow``
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estimator with ``dataparallel`` parameter ``enabled`` set to ``True``,
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it uses CUDA 11. When you extend or customize your own training image,
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you must use a CUDA 11 base image. See
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`SageMaker Python SDK's distributed data parallel library APIs
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<https://docs.aws.amazon.com/sagemaker/latest/dg/data-parallel-use-api.html#data-parallel-use-python-skd-api>`_
@@ -32,12 +33,12 @@ Version 1.4.0 (Latest)
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latest/smd_data_parallel_pytorch
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latest/smd_data_parallel_tensorflow
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To find archived API documentation for the previous versions of the library,
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see the following link:
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Documentation Archive
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=====================
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To find the API documentation for the previous versions of the library,
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choose one of the following:
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.. toctree::
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:maxdepth: 1
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