jonasrauber / eagerpy

PyTorch, TensorFlow, JAX and NumPy — all of them natively using the same code
https://eagerpy.jonasrauber.de
MIT License
694 stars 39 forks source link

additional tests to improve the coverage #2

Closed jonasrauber closed 4 years ago

codecov[bot] commented 4 years ago

Codecov Report

Merging #2 into master will increase coverage by 3.69%. The diff coverage is 100%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master       #2      +/-   ##
==========================================
+ Coverage   94.65%   98.34%   +3.69%     
==========================================
  Files          13       13              
  Lines        1328     1330       +2     
==========================================
+ Hits         1257     1308      +51     
+ Misses         71       22      -49
Impacted Files Coverage Δ
eagerpy/framework.py 100% <ø> (+2.94%) :arrow_up:
eagerpy/tensor/jax.py 98.73% <100%> (+2.52%) :arrow_up:
eagerpy/tensor/base.py 99.18% <100%> (+8.43%) :arrow_up:
eagerpy/tensor/pytorch.py 98.57% <0%> (+2.85%) :arrow_up:
eagerpy/tensor/tensorflow.py 97.24% <0%> (+3.54%) :arrow_up:
eagerpy/tensor/numpy.py 98.46% <0%> (+3.57%) :arrow_up:
eagerpy/astensor.py 100% <0%> (+4.76%) :arrow_up:
eagerpy/norms.py 100% <0%> (+5.26%) :arrow_up:
... and 2 more

Continue to review full report at Codecov.

Legend - Click here to learn more Δ = absolute <relative> (impact), ø = not affected, ? = missing data Powered by Codecov. Last update 4b7ea99...ef6c9a8. Read the comment docs.