Fix symbolic call of logsumexp with int axis.#21428
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hertschuh merged 1 commit intokeras-team:masterfrom Jun 27, 2025
Merged
Fix symbolic call of logsumexp with int axis.#21428hertschuh merged 1 commit intokeras-team:masterfrom
logsumexp with int axis.#21428hertschuh merged 1 commit intokeras-team:masterfrom
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Using `keras.ops.math.logsumexp` with an int for `axis` in a functional model would throw an error.
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## master #21428 +/- ##
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Coverage 82.72% 82.72%
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Files 565 565
Lines 55222 55224 +2
Branches 8609 8610 +1
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+ Hits 45683 45685 +2
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Partials 2111 2111
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mattdangerw
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Jun 27, 2025
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Mohamed-Ashraf273
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Jul 8, 2025
Using `keras.ops.math.logsumexp` with an int for `axis` in a functional model would throw an error.
kharshith-k
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Jul 23, 2025
Using `keras.ops.math.logsumexp` with an int for `axis` in a functional model would throw an error.
hertschuh
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Nov 13, 2025
* added requirements-tensorflow-tpu.txt and tpu configuration in .kokoro * updated .kokoro/github/ubuntu/tpu/build.sh with jax and torch backend configs * Changed the tpu CI config files path to .github from .kokoro * Added new job in .github/workflows/actions.yml to run TPU tests * fixed runs-on option in acvtions.yml for tpu_build job to run on self hosted TPU based runner * Added another runner in the actions TPU job * Update continuous.cfg updated build file path * Update presubmit.cfg updated build file path * Update actions.yml Updated tpu_build job of actions.yml with specific runner label * Developed Dockerfile for TPU build job in actions.yml * Update actions.yml Added container section * Included few more runners in tpu_build job * Using linux-x86-ct6e-44-1tpu * Modified requirement-commmon.txt and updated requirements-tensorflow-tpu.txt * Added Dtypes_TPU_tests.py and requirements-jax-tpu.txt * Progress bar now handles `steps_per_execution`. (#21422) Progress bar would always report the starting batch + 1 at the end of the batch. Now it takes into account `steps_per_execution` for the last batch reported. Fixes #20861 * Fix symbolic call of `logsumexp` with int axis. (#21428) Using `keras.ops.math.logsumexp` with an int for `axis` in a functional model would throw an error. * Only allow deserialization of `KerasSaveable`s by module and name. (#21429) Arbitrary functions and classes are not allowed. - Made `Operation` extend `KerasSaveable`, this required moving imports to avoid circular imports - `Layer` no longer need to extend `KerasSaveable` directly - Made feature space `Cross` and `Feature` extend `KerasSaveable` - Also dissallow public function `enable_unsafe_deserialization` * commented tensorflow deps * Added log of dtypes_test_tpu.py and the test script for the same * modified dtypes_test_tpu.py as per pre-commit standards * Added TPU initiaization and teardown functionalities in conftest.py, developed dtypes_new_test.py to use requires_tpu marker * Added dtypes_test_TPU.py and dtypes_new_test.py, modified conftest.py * Added Dcokerfile and tests list command * Updated Dockerfile * Restored Dockerfile to previous changes * updated actions.yml file to install and configure docker engine on self hosted runner, build the image and check TPU support on jax backend * updated actions.yml file to include container option * updated actions.yml file to include container option without volume binding * updated actions.yml file to change TPU * Updated container path in build-and-test-on-tpu job * seperated TPU workflow from actions.yml * updated trigger condition for TPU tests workflow * updated container usage configuration for TPU tests workflow * updated env vars for TPU tests workflow * updated env vars parsing syntax in TPU tests workflow * updated env vars syntax in TPU tests workflow * updated env vars syntax in TPU tests workflow * updated env vars syntax in TPU tests workflow * updated env vars syntax in TPU tests workflow * updated image name in TPU tests workflow * updated image name with generic ubuntu image * updated tpu-tests to use ghcr * updated tpu-tests to store built image as local tar * updated image name from ubuntu:22.04 to docker:24.0-cli in tpu tests workflow * updated image name from docker:24.0-cli to ubuntu:22.04 in tpu tests workflow and added a step to install docker client * added volume mount from host in load-and-test-job * Reverted tpu-tests.yml to version using ghcr.io for image storage * Removed custom dtypes_test files for TPU testing and restored original actions.yml * Updated tpu-tests.yml to pull image from GCP artifact registry * Resolved conflicts in actions.yml * Added a workflow to check service accounts associated with self hosted runners * Made find_sa.yml specific to linux-x86-ct6e-44-1tpu * Added container tag to find_sa.yml * Checking SA for linux-x86-ct5lp-112-4tpu * Checking SA for linux-x86-ct6e-44-1tpu-nxgm7-runner-vb87c * Using SA for auth in tpu-tests * Updated SA with container tag for auth in tpu-tests * Added docker socket mount test * Updated tpu-tests to just pull and test the image from artifact registry after attaching service accounts as IAM policies * Added pytest command to the workflow * added grain installation command * Pruned unwanted files * included grain in requirements.txt * Updated tpu-tests.yml to use python image and explicitly install specific backend deps * Renamed tpu-tests to tpu-tests-jax and logging TPU device kind * Added a step to check gcloud installation * Running pytest on generic tpu workflow * Made changes as per suggestions in PR * Fixed error in action file * Added a job in tpu workflow to persist failed tests list * using requirements-jax-tpu.txt * Reverted the tpu-tests-jax.yml * Removed a command line option in tpu workflow file * Removed uninstall step from tpu workflow job * reverted tensorflow version in requirements file * Updated the tpu workflow to skip failing tests * Clean up TPU tests workflow by removing comment Removed commented out pip uninstall command from workflow. * Changed the failed tests file path and updated the same in conftest.py * Updated the failed test file path * Updated the workflow and job names for TPU * Added TPU job in actions.yml * Added TPU config print line * Added condition to TPU test job so that it gets triggered only after the PR review is approved * Added TPU specific tests in seperate workflow with PR approval condition * Removed pull_request condition for workflow execution and renamed the workflow --------- Co-authored-by: hertschuh <1091026+hertschuh@users.noreply.github.com>
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Using
keras.ops.math.logsumexpwith an int foraxisin a functional model would throw an error.