SM Distributed: adding new verisons for DLC launch

Author: Talia Chopra

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

@@ -157,7 +157,7 @@ TensorFlow API
 
 .. rubric:: Supported versions
 
-**TensorFlow 2.4.1**
+**TensorFlow 2.3.1, 2.4.1**
 
 .. function:: smdistributed.dataparallel.tensorflow.init()
 

doc/api/training/sdp_versions/v1.1.x/smd_data_parallel_pytorch.rst

@@ -4,11 +4,11 @@ PyTorch Guide to SageMaker's distributed data parallel library
 
 .. admonition:: Contents
 
-   - :ref:`pytorch-sdp-modify`
-   - :ref:`pytorch-sdp-api`
+   - :ref:`pytorch-sdp-modify-11x`
+   - :ref:`pytorch-sdp-api-11x`
+
+.. _pytorch-sdp-modify-11x:
 
-.. _pytorch-sdp-modify:
-   :noindex:
 
 Modify a PyTorch training script to use SageMaker data parallel
 ======================================================================
@@ -149,15 +149,15 @@ you will have for distributed training with the distributed data parallel librar
        main()
 
 
-.. _pytorch-sdp-api-1.1.x:
-   :noindex:
+.. _pytorch-sdp-api-11x:
+
 
 PyTorch API
 ===========
 
 .. rubric:: Supported versions
 
-**PyTorch 1.7.1, 1.8.0**
+**PyTorch 1.7.1, 1.8.1**
 
 
 .. function:: smdistributed.dataparallel.torch.distributed.is_available()

doc/api/training/sdp_versions/v1.1.x/smd_data_parallel_tensorflow.rst

@@ -4,11 +4,11 @@ TensorFlow Guide to SageMaker's distributed data parallel library
 
 .. admonition:: Contents
 
-   - :ref:`tensorflow-sdp-modify`
-   - :ref:`tensorflow-sdp-api`
+   - :ref:`tensorflow-sdp-modify-11x`
+   - :ref:`tensorflow-sdp-api-11x`
+
+.. _tensorflow-sdp-modify-11x:
 
-.. _tensorflow-sdp-modify:
-   :noindex:
 
 Modify a TensorFlow 2.x training script to use SageMaker data parallel
 ======================================================================
@@ -151,18 +151,16 @@ script you will have for distributed training with the library.
        checkpoint.save(checkpoint_dir)
 
 
-.. _tensorflow-sdp-api:
-   :noindex:
+.. _tensorflow-sdp-api-11x:
+
 
 TensorFlow API
 ==============
 
 .. rubric:: Supported versions
 
-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.
+Use version 1.0.0 or version 1.2.0 or later of ``smdistributed.dataparallel`` to use this
+library with TensorFlow.
 
 .. function:: smdistributed.dataparallel.tensorflow.init()
    :noindex:

doc/api/training/smp_versions/latest.rst

@@ -1,5 +1,5 @@
 
-Version 1.3.0 (Latest)
+Version 1.3.x (Latest)
 ======================
 
 To use the library, reference the Common API documentation alongside the framework specific API documentation.

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

@@ -6,7 +6,7 @@
 PyTorch API
 ===========
 
-**Supported versions: 1.6.0, 1.7.1, 1.8.0**
+**Supported versions: 1.7.1, 1.8.1**
 
 This API document assumes you use the following import statements in your training scripts.
 
@@ -268,7 +268,7 @@ This API document assumes you use the following import statements in your traini
 
    .. function:: register_comm_hook( state, callable )
 
-      **Available for PyTorch 1.8.0 only**
+      **Available for PyTorch 1.8.1 only**
       Registers a communication hook which is an enhancement that provides
       a flexible hook ``callable`` to users where they can specify how
       gradients are aggregated across multiple workers. This method will be called on the wrapped ``DistributedDataParallel`` instance.

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

@@ -1,7 +1,7 @@
 TensorFlow API
 ==============
 
-**Supported version: 2.4.1, 2.3.1**
+**Supported version: 2.3.1, 2.4.1**
 
 **Important**: This API document assumes you use the following import statement in your training scripts.