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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Model Subclassing Test #351

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 #351 into master will increase coverage by 0.35%. The diff coverage is 100.00%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master     #351      +/-   ##
==========================================
+ Coverage   85.18%   85.53%   +0.35%     
==========================================
  Files          86       86              
  Lines        6466     6466              
==========================================
+ Hits         5508     5531      +23     
+ Misses        958      935      -23     
Impacted Files Coverage Δ
smdebug/tensorflow/keras.py 93.07% <100.00%> (+0.17%) :arrow_up:
smdebug/pytorch/utils.py 18.51% <0.00%> (-3.71%) :arrow_down:
smdebug/mxnet/hook.py 93.02% <0.00%> (-2.33%) :arrow_down:
smdebug/core/reduction_config.py 88.31% <0.00%> (-1.30%) :arrow_down:
smdebug/trials/trial.py 96.82% <0.00%> (-0.58%) :arrow_down:
smdebug/core/utils.py 83.56% <0.00%> (-0.47%) :arrow_down:
smdebug/pytorch/hook.py 82.40% <0.00%> (ø)
smdebug/tensorflow/base_hook.py 80.55% <0.00%> (+1.58%) :arrow_up:
smdebug/mxnet/collection.py 76.66% <0.00%> (+3.33%) :arrow_up:
smdebug/rules/action/message_action.py 85.54% <0.00%> (+3.61%) :arrow_up:
... and 4 more

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