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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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Pass Variable Length Argument To Old Function Call #366

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 #366 into master will increase coverage by 8.26%. The diff coverage is 100.00%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master     #366      +/-   ##
==========================================
+ Coverage   77.21%   85.47%   +8.26%     
==========================================
  Files          86       86              
  Lines        6501     6501              
==========================================
+ Hits         5020     5557     +537     
+ Misses       1481      944     -537
Impacted Files Coverage Δ
smdebug/tensorflow/utils.py 87.89% <100.00%> (ø)
smdebug/trials/trial.py 96.82% <0.00%> (+0.28%) :arrow_up:
smdebug/exceptions.py 67.53% <0.00%> (+1.29%) :arrow_up:
smdebug/tensorflow/base_hook.py 80.55% <0.00%> (+1.58%) :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/tensorflow/callable_cache.py 82.60% <0.00%> (+4.34%) :arrow_up:
smdebug/core/state_store.py 98.87% <0.00%> (+5.61%) :arrow_up:
smdebug/core/tfevent/util.py 100.00% <0.00%> (+8.00%) :arrow_up:
smdebug/core/hook.py 93.45% <0.00%> (+8.53%) :arrow_up:
... and 15 more

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