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feature: Adding support for Multi Worker Mirrored Strategy in TF estimator #3192

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merged 39 commits into from
Feb 18, 2023

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Issue #, if available:
Resolves aws/sagemaker-tensorflow-training-toolkit#391

Description of changes:
SageMaker Tensorflow Training ToolKit now supports Multi Worker Mirrored Strategy through cluster initialization.
These changes allow the cluster init to be invoked through the TF Estimator's distribution parameter.

Testing done:
PR validation tests

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General

  • I have read the CONTRIBUTING doc
  • I certify that the changes I am introducing will be backword compatible, and I have discussed concerns about this, if any, with the Python SDK team
  • I used the commit message format described in CONTRIBUTING
  • I have passed the region in to all S3 and STS clients that I've initialized as part of this change.
  • I have updated any necessary documentation, including READMEs and API docs (if appropriate)

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  • I have added tests that prove my fix is effective or that my feature works (if appropriate)
  • I have added unit and/or integration tests as appropriate to ensure backward compatibility of the changes
  • I have checked that my tests are not configured for a specific region or account (if appropriate)
  • I have used unique_name_from_base to create resource names in integ tests (if appropriate)

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

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codecov-commenter commented Jun 22, 2022

Codecov Report

Merging #3192 (a838741) into master (48141db) will decrease coverage by 0.78%.
The diff coverage is 100.00%.

@@            Coverage Diff             @@
##           master    #3192      +/-   ##
==========================================
- Coverage   89.56%   88.79%   -0.78%     
==========================================
  Files         968      227     -741     
  Lines       90696    22454   -68242     
==========================================
- Hits        81232    19937   -61295     
+ Misses       9464     2517    -6947     
Impacted Files Coverage Δ
src/sagemaker/tensorflow/estimator.py 92.18% <ø> (ø)
src/sagemaker/estimator.py 89.89% <100.00%> (ø)
...c/sagemaker/tensorflow/training_compiler/config.py 95.83% <100.00%> (ø)
...n3.7/site-packages/sagemaker/experiments/_utils.py
.../site-packages/sagemaker/experiments/_api_types.py
...-packages/sagemaker/dataset_definition/__init__.py
...thon3.10/site-packages/sagemaker/spark/__init__.py
.../sagemaker/cli/compatibility/v2/ast_transformer.py
.../site-packages/sagemaker/workflow/callback_step.py
...hon3.10/site-packages/sagemaker/jumpstart/enums.py
... and 1188 more

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/bot run pr, slow-tests

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/bot run slow-tests

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/bot run slow-tests, notebook-tests

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@mufaddal-rohawala mufaddal-rohawala merged commit ae70340 into aws:master Feb 18, 2023
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JoseJuan98 pushed a commit to JoseJuan98/sagemaker-python-sdk that referenced this pull request Mar 4, 2023
…mator (aws#3192)

Co-authored-by: Miyoung <myoung8739@gmail.com>
nmadan pushed a commit to nmadan/sagemaker-python-sdk that referenced this pull request Apr 18, 2023
…mator (aws#3192)

Co-authored-by: Miyoung <myoung8739@gmail.com>
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Support different tf.distribute.Strategies for distributed training on SageMaker
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