Merge remote-tracking branch 'sergtogul/1.8.1_PT_containers' into new_tf_containers

Author: Sergey Togulev

doc/api/training/sdp_versions/latest/smd_data_parallel_pytorch.rst

@@ -153,9 +153,9 @@ you will have for distributed training with the distributed data parallel librar
 PyTorch API
 ===========
 
-**Supported versions:**
+.. rubric:: Supported versions
 
--  PyTorch 1.6.0, 1.8.0
+**PyTorch 1.7.1, 1.8.0**
 
 
 .. function:: smdistributed.dataparallel.torch.distributed.is_available()

doc/api/training/sdp_versions/latest/smd_data_parallel_tensorflow.rst

@@ -16,8 +16,9 @@ The following steps show you how to convert a TensorFlow 2.x training
 script to utilize the distributed data parallel library.
 
 The distributed data parallel library APIs are designed to be close to Horovod APIs.
-See `SageMaker distributed data parallel TensorFlow examples <https://sagemaker-examples.readthedocs.io/en/latest/training/distributed_training/index.html#tensorflow-distributed>`__ for additional details on how to implement the data parallel library
-API offered for TensorFlow.
+See `SageMaker distributed data parallel TensorFlow examples
+<https://sagemaker-examples.readthedocs.io/en/latest/training/distributed_training/index.html#tensorflow-distributed>`__
+for additional details on how to implement the data parallel library.
 
 -  First import the distributed data parallel library’s TensorFlow client and initialize it:
 
@@ -156,8 +157,10 @@ TensorFlow API
 
 .. rubric:: Supported versions
 
--  TensorFlow 2.x - 2.3.1
-
+TensorFlow is supported in version 1.0.0 of ``sagemakerdistributed.dataparallel``.
+Reference version 1.0.0 `TensorFlow API documentation
+<https://sagemaker.readthedocs.io/en/stable/api/training/sdp_versions/latest/smd_data_parallel_tensorflow.html#tensorflow-sdp-api>`_
+for supported TensorFlow versions.
 
 .. function:: smdistributed.dataparallel.tensorflow.init()
 

doc/api/training/sdp_versions/v1.0.0/smd_data_parallel_pytorch.rst

@@ -4,11 +4,10 @@ PyTorch Guide to SageMaker's distributed data parallel library
 
 .. admonition:: Contents
 
-   - :ref:`pytorch-sdp-modify`
-   - :ref:`pytorch-sdp-api`
+   - :ref:`pytorch-sdp-modify-1.0.0`
+   - :ref:`pytorch-sdp-api-1.0.0`
 
-.. _pytorch-sdp-modify:
-   :noindex:
+.. _pytorch-sdp-modify-1.0.0:
 
 Modify a PyTorch training script to use SageMaker data parallel
 ======================================================================
@@ -149,15 +148,14 @@ you will have for distributed training with the distributed data parallel librar
        main()
 
 
-.. _pytorch-sdp-api:
-   :noindex:
+.. _pytorch-sdp-api-1.0.0:
 
 PyTorch API
 ===========
 
-**Supported versions:**
+.. rubric:: Supported versions
 
--  PyTorch 1.6.0
+**PyTorch 1.6.0, 1.7.1**
 
 
 .. function:: smdistributed.dataparallel.torch.distributed.is_available()

doc/api/training/sdp_versions/v1.0.0/smd_data_parallel_tensorflow.rst

@@ -4,11 +4,10 @@ TensorFlow Guide to SageMaker's distributed data parallel library
 
 .. admonition:: Contents
 
-   - :ref:`tensorflow-sdp-modify`
-   - :ref:`tensorflow-sdp-api`
+   - :ref:`tensorflow-sdp-modify-1.0.0`
+   - :ref:`tensorflow-sdp-api-1.0.0`
 
-.. _tensorflow-sdp-modify:
-   :noindex:
+.. _tensorflow-sdp-modify-1.0.0:
 
 Modify a TensorFlow 2.x training script to use SageMaker data parallel
 ======================================================================
@@ -150,15 +149,14 @@ script you will have for distributed training with the library.
        checkpoint.save(checkpoint_dir)
 
 
-.. _tensorflow-sdp-api:
-   :noindex:
+.. _tensorflow-sdp-api-1.0.0:
 
 TensorFlow API
 ==============
 
 .. rubric:: Supported versions
 
--  TensorFlow 2.x - 2.3.1
+**TensorFlow 2.3.x - 2.4.1**
 
 
 .. function:: smdistributed.dataparallel.tensorflow.init()

doc/api/training/smp_versions/latest/smd_model_parallel_pytorch.rst

@@ -6,7 +6,7 @@
 PyTorch API
 ===========
 
-**Supported versions: 1.7.1, 1.8.0**
+**Supported versions: 1.6.0, 1.7.1, 1.8.0**
 
 This API document assumes you use the following import statements in your training scripts.
 

doc/frameworks/huggingface/index.rst

@@ -9,3 +9,4 @@ For general information about using the SageMaker Python SDK, see :ref:`overview
     :maxdepth: 2
 
     sagemaker.huggingface
+    Use Hugging Face with the SageMaker Python SDK <https://huggingface.co/transformers/sagemaker.html>