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keras-team / keras

Deep Learning for humans
http://keras.io/
Apache License 2.0
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mlx - merge master into mlx #19657

Closed lkarthee closed 2 weeks ago

codecov-commenter commented 2 weeks ago

Codecov Report

Attention: Patch coverage is 88.15713% with 205 lines in your changes are missing coverage. Please review.

:exclamation: No coverage uploaded for pull request base (mlx@4c90dfb). Click here to learn what that means.

Files Patch % Lines
keras/src/backend/common/backend_utils.py 59.64% 32 Missing and 14 partials :warning:
keras/src/backend/tensorflow/numpy.py 86.75% 23 Missing and 15 partials :warning:
keras/src/backend/numpy/nn.py 94.52% 5 Missing and 7 partials :warning:
keras/src/saving/saving_lib.py 80.00% 6 Missing and 6 partials :warning:
...s/src/trainers/data_adapters/py_dataset_adapter.py 72.50% 9 Missing and 2 partials :warning:
keras/src/ops/numpy.py 87.65% 6 Missing and 4 partials :warning:
keras/src/backend/jax/nn.py 95.78% 3 Missing and 5 partials :warning:
keras/src/utils/model_visualization.py 0.00% 8 Missing :warning:
keras/api/_tf_keras/keras/ops/__init__.py 0.00% 6 Missing :warning:
keras/src/backend/tensorflow/nn.py 90.47% 2 Missing and 4 partials :warning:
... and 18 more
Additional details and impacted files ```diff @@ Coverage Diff @@ ## mlx #19657 +/- ## ====================================== Coverage ? 75.56% ====================================== Files ? 508 Lines ? 47212 Branches ? 8681 ====================================== Hits ? 35675 Misses ? 9795 Partials ? 1742 ``` | [Flag](https://app.codecov.io/gh/keras-team/keras/pull/19657/flags?src=pr&el=flags&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=keras-team) | Coverage Δ | | |---|---|---| | [keras](https://app.codecov.io/gh/keras-team/keras/pull/19657/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=keras-team) | `75.41% <88.15%> (?)` | | | [keras-jax](https://app.codecov.io/gh/keras-team/keras/pull/19657/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=keras-team) | `59.78% <50.54%> (?)` | | | [keras-numpy](https://app.codecov.io/gh/keras-team/keras/pull/19657/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=keras-team) | `54.33% <46.73%> (?)` | | | [keras-tensorflow](https://app.codecov.io/gh/keras-team/keras/pull/19657/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=keras-team) | `61.08% <58.69%> (?)` | | | [keras-torch](https://app.codecov.io/gh/keras-team/keras/pull/19657/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=keras-team) | `59.80% <47.94%> (?)` | | Flags with carried forward coverage won't be shown. [Click here](https://docs.codecov.io/docs/carryforward-flags?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=keras-team#carryforward-flags-in-the-pull-request-comment) to find out more.

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