-
Notifications
You must be signed in to change notification settings - Fork 19.4k
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Fix formatting in export_lib. #19405
Merged
Merged
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## master #19405 +/- ##
=======================================
Coverage 75.97% 75.97%
=======================================
Files 366 366
Lines 40740 40740
Branches 7944 7944
=======================================
Hits 30952 30952
Misses 8075 8075
Partials 1713 1713
Flags with carried forward coverage won't be shown. Click here to find out more. ☔ View full report in Codecov by Sentry. |
fchollet
approved these changes
Mar 29, 2024
google-ml-butler
bot
added
kokoro:force-run
ready to pull
Ready to be merged into the codebase
labels
Mar 29, 2024
google-ml-butler
bot
removed
ready to pull
Ready to be merged into the codebase
kokoro:force-run
labels
Mar 29, 2024
james77777778
added a commit
to james77777778/keras
that referenced
this pull request
Apr 3, 2024
* Refactor dtypes in codebase and add float8_* dtypes * Update comments Fix for JAX export on GPU. (keras-team#19404) Fix formatting in export_lib. (keras-team#19405) `ops/numpy.py`: Support `key` as `list` in `GetItem` (keras-team#19310) When loading a model that contains `GetItem` nodes with multidimensional indices/slices as `key`, the `key` argument is loaded from JSON as a `list`, not a `tuple` (because JSON does not have the distinction). So, treat the `key list` as equivalent to the `key tuple`. Copying is important: otherwise, the later `pop()` will remove the bound slice elements from the op itself. `saving/serialization_lib_test.py`: * Add `test_numpy_get_item_layer()`: test for consistent serialization/deserialization of a model which contains `ops.numpy.GetItem`; feat(losses): add Dice loss implementation (keras-team#19409) * feat(losses): add Dice loss implementation * removed smooth parameter and type casting * adjusted casting and dot operator Update casting Bump the github-actions group with 1 update (keras-team#19412) Bumps the github-actions group with 1 update: [github/codeql-action](https://github.com/github/codeql-action). Updates `github/codeql-action` from 3.24.6 to 3.24.9 - [Release notes](https://github.com/github/codeql-action/releases) - [Changelog](https://github.com/github/codeql-action/blob/main/CHANGELOG.md) - [Commits](github/codeql-action@8a470fd...1b1aada) --- updated-dependencies: - dependency-name: github/codeql-action dependency-type: direct:production update-type: version-update:semver-patch dependency-group: github-actions ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Fix issue with shared layer deserialization Remove dead code in saving lib (keras-team#19415) Remove unused beta param for silu, use torch op directly (keras-team#19417) The beta param was only accepted on the tensorflow/torch backends and not in the `keras.ops` API, nor was it tested. I think best just to ditch, since no one could be relying on it. Fix print_fn for custom function (keras-team#19419) Add fp8 to `EinsumDense` Add test script
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
No description provided.