Skip to content

doc: sm model parallel 1.8.0 release notes #3072

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Apr 22, 2022
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions doc/api/training/distributed.rst
Original file line number Diff line number Diff line change
Expand Up @@ -10,7 +10,7 @@ The SageMaker Distributed Data Parallel Library
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

.. toctree::
:maxdepth: 3
:maxdepth: 2

smd_data_parallel
sdp_versions/latest
Expand All @@ -23,7 +23,7 @@ The SageMaker Distributed Model Parallel Library
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

.. toctree::
:maxdepth: 3
:maxdepth: 2

smd_model_parallel
smp_versions/latest
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -5,9 +5,48 @@ Release Notes
New features, bug fixes, and improvements are regularly made to the SageMaker
distributed model parallel library.

SageMaker Distributed Model Parallel 1.7.0 Release Notes
SageMaker Distributed Model Parallel 1.8.0 Release Notes
========================================================

*Date: March. 23. 2022*

**New Features**

* Added tensor parallelism support for the `GPT-J model
<https://huggingface.co/docs/transformers/model_doc/gptj>`_.
When using the GPT-J model of Hugging Face Transformers v4.17.0 with
tensor parallelism, the SageMaker model parallel library automatically
replaces the model with a tensor parallel distributed GPT-J model.
For more information, see `Support for Hugging Face Transformer Models
<https://docs.aws.amazon.com/sagemaker/latest/dg/model-parallel-extended-features-pytorch-hugging-face.html>`_
in the *Amazon SageMaker Model Parallel Training developer guide*.

**Migration to AWS Deep Learning Containers**

This version passed benchmark testing and is migrated to the following AWS Deep Learning Containers:

* HuggingFace 4.17.0 DLC with PyTorch 1.10.2

.. code::

763104351884.dkr.ecr.us-west-2.amazonaws.com/huggingface-pytorch-training:1.10.2-transformers4.17.0-gpu-py38-cu113-ubuntu20.04


The binary file of this version of the library for custom container users:

.. code::

https://sagemaker-distributed-model-parallel.s3.us-west-2.amazonaws.com/pytorch-1.10.0/build-artifacts/2022-03-12-00-33/smdistributed_modelparallel-1.8.0-cp38-cp38-linux_x86_64.whl


----

Release History
===============

SageMaker Distributed Model Parallel 1.7.0 Release Notes
--------------------------------------------------------

*Date: March. 07. 2022*

**Currency Updates**
Expand Down Expand Up @@ -49,11 +88,6 @@ This version passed benchmark testing and is migrated to the following AWS Deep
763104351884.dkr.ecr.<region>.amazonaws.com/pytorch-training:1.10.2-gpu-py38-cu113-ubuntu20.04-sagemaker


----

Release History
===============

SageMaker Distributed Model Parallel 1.6.0 Release Notes
--------------------------------------------------------

Expand Down
4 changes: 2 additions & 2 deletions doc/api/training/smp_versions/latest.rst
Original file line number Diff line number Diff line change
Expand Up @@ -10,8 +10,8 @@ depending on which version of the library you need to use.
To use the library, reference the
**Common API** documentation alongside the framework specific API documentation.

Version 1.7.0 (Latest)
======================
Version 1.7.0, 1.8.0 (Latest)
=============================

To use the library, reference the Common API documentation alongside the framework specific API documentation.

Expand Down