| .. _sdp_api_docs: |
|
|
| ############################################# |
| Use the Library to Adapt Your Training Script |
| ############################################# |
|
|
| This section contains the SageMaker distributed data parallel API documentation. |
| If you are a new user of this library, it is recommended you use this guide alongside |
| `SageMaker's Distributed Data Parallel Library |
| <https://docs.aws.amazon.com/sagemaker/latest/dg/data-parallel.html>`_. |
|
|
| The library provides framework-specific APIs for TensorFlow and PyTorch. |
|
|
| Select the latest or one of the previous versions of the API documentation |
| depending on the version of the library you use. |
|
|
| .. important:: |
|
|
| The distributed data parallel library supports training jobs using CUDA 11 or later. |
| When you define a :class:`sagemaker.tensorflow.estimator.TensorFlow` or |
| :class:`sagemaker.pytorch.estimator.PyTorch` |
| estimator with the data parallel library enabled, |
| SageMaker uses CUDA 11. When you extend or customize your own training image, |
| you must use a base image with CUDA 11 or later. See |
| `SageMaker Python SDK's distributed data parallel library APIs |
| <https://docs.aws.amazon.com/sagemaker/latest/dg/data-parallel-use-api.html#data-parallel-use-python-skd-api>`_ |
| for more information. |
|
|
| Version 1.4.0, 1.4.1, 1.5.0 (Latest) |
| ==================================== |
|
|
| .. toctree:: |
| :maxdepth: 1 |
|
|
| latest/smd_data_parallel_pytorch |
| latest/smd_data_parallel_tensorflow |
|
|
| Documentation Archive |
| ===================== |
|
|
| To find the API documentation for the previous versions of the library, |
| choose one of the following: |
|
|
| .. toctree:: |
| :maxdepth: 1 |
|
|
| archives |
|
|
