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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Test Concat Layers #367

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 #367 into master will increase coverage by 4.45%. The diff coverage is 85.71%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master     #367      +/-   ##
==========================================
+ Coverage   81.03%   85.48%   +4.45%     
==========================================
  Files          86       86              
  Lines        6501     6504       +3     
==========================================
+ Hits         5268     5560     +292     
+ Misses       1233      944     -289     
Impacted Files Coverage Δ
smdebug/tensorflow/keras.py 92.32% <85.71%> (-0.14%) :arrow_down:
smdebug/trials/trial.py 96.82% <0.00%> (+0.28%) :arrow_up:
smdebug/core/utils.py 84.03% <0.00%> (+0.46%) :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/rules/action/stop_training_action.py 77.41% <0.00%> (+24.19%) :arrow_up:
smdebug/mxnet/graph.py 25.80% <0.00%> (+25.80%) :arrow_up:
... and 7 more

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