uber / petastorm

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.
Apache License 2.0
1.78k stars 285 forks source link

Upgrade CI docker image to ci-2020-07-01-00 #569

Closed selitvin closed 4 years ago

codecov[bot] commented 4 years ago

Codecov Report

Merging #569 into master will decrease coverage by 0.43%. The diff coverage is 64.70%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master     #569      +/-   ##
==========================================
- Coverage   86.08%   85.65%   -0.44%     
==========================================
  Files          87       87              
  Lines        4972     4969       -3     
  Branches      793      793              
==========================================
- Hits         4280     4256      -24     
- Misses        563      578      +15     
- Partials      129      135       +6     
Impacted Files Coverage Δ
setup.py 0.00% <ø> (ø)
examples/spark_dataset_converter/utils.py 43.75% <50.00%> (-56.25%) :arrow_down:
...ark_dataset_converter/pytorch_converter_example.py 94.89% <66.66%> (+0.89%) :arrow_up:
..._dataset_converter/tensorflow_converter_example.py 86.66% <66.66%> (+1.56%) :arrow_up:
..._dataset_converter/tests/test_converter_example.py 100.00% <100.00%> (ø)
petastorm/__init__.py 100.00% <100.00%> (ø)
petastorm/test_util/reader_mock.py 82.85% <0.00%> (-2.86%) :arrow_down:
petastorm/weighted_sampling_reader.py 83.33% <0.00%> (-2.39%) :arrow_down:
petastorm/unischema.py 93.92% <0.00%> (-1.87%) :arrow_down:
... and 5 more

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