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TensorFlow 2.9 with SM Training Compiler - Single Node Single GPU #3458

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merged 9 commits into from
Jun 16, 2022
Merged

TensorFlow 2.9 with SM Training Compiler - Single Node Single GPU #3458

merged 9 commits into from
Jun 16, 2022

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Lokiiiiii
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@Lokiiiiii Lokiiiiii commented Jun 11, 2022 •
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Issue #, if available:
#3455

Description of changes:

Notebook trains a Vision Transformer on the Caltech-256 dataset using SageMaker Training Compiler.
The Notebook uses 2 p3.2xlarge concurrently for 1 hour.

Testing done:

Tested on SageMaker Notebook instance with conda_tensorflow2_py38 kernel.
keras-vit-b16-001.pdf
keras-vit-b16-002.pdf

PS:

Awaiting SageMaker SDK release to make more changes to the UI.

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  • I have read the CONTRIBUTING doc and adhered to the example notebook best practices
  • I have updated any necessary documentation, including READMEs
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  • I have linted my notebook(s) and code using tox -e black-format,black-nb-format

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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@jkroll-aws jkroll-aws merged commit 3ca8d37 into aws:main Jun 16, 2022
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@jkroll-aws jkroll-aws jkroll-aws approved these changes

@mchoi8739 mchoi8739 mchoi8739 approved these changes

@robdusen robdusen Awaiting requested review from robdusen

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