awslabs / sagemaker-debugger

Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors
Apache License 2.0
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warn gradtape users about tf.function support #348

Closed NihalHarish closed 4 years ago

NihalHarish commented 4 years ago

Description of changes:

Style and formatting:

I have run pre-commit install to ensure that auto-formatting happens with every commit.

Issue number, if available

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codecov-commenter commented 4 years ago

Codecov Report

Merging #348 into master will increase coverage by 4.52%. The diff coverage is 100.00%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master     #348      +/-   ##
==========================================
+ Coverage   80.83%   85.36%   +4.52%     
==========================================
  Files          86       86              
  Lines        6477     6483       +6     
==========================================
+ Hits         5236     5534     +298     
+ Misses       1241      949     -292     
Impacted Files Coverage Δ
smdebug/tensorflow/keras.py 92.89% <100.00%> (+0.07%) :arrow_up:
smdebug/trials/trial.py 96.82% <0.00%> (+0.28%) :arrow_up:
smdebug/exceptions.py 67.53% <0.00%> (+1.29%) :arrow_up:
smdebug/core/reductions.py 93.47% <0.00%> (+2.17%) :arrow_up:
smdebug/core/save_config.py 88.00% <0.00%> (+2.40%) :arrow_up:
smdebug/core/hook.py 93.45% <0.00%> (+5.35%) :arrow_up:
smdebug/core/state_store.py 98.87% <0.00%> (+5.61%) :arrow_up:
smdebug/mxnet/graph.py 25.80% <0.00%> (+25.80%) :arrow_up:
smdebug/rules/action/stop_training_action.py 77.77% <0.00%> (+25.92%) :arrow_up:
smdebug/rules/action/action.py 95.91% <0.00%> (+30.61%) :arrow_up:
... and 6 more

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