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Using keras.ops.math.logsumexp with an int for axis in a functional model would throw an error.

Using `keras.ops.math.logsumexp` with an int for `axis` in a functional model would throw an error.
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codecov-commenter commented Jun 27, 2025

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 82.72%. Comparing base (df58ec9) to head (46e0828).
Report is 1 commits behind head on master.

Additional details and impacted files
@@           Coverage Diff           @@
##           master   #21428   +/-   ##
=======================================
  Coverage   82.72%   82.72%           
=======================================
  Files         565      565           
  Lines       55222    55224    +2     
  Branches     8609     8610    +1     
=======================================
+ Hits        45683    45685    +2     
  Misses       7428     7428           
  Partials     2111     2111           
Flag Coverage Δ
keras 82.53% <100.00%> (+<0.01%) ⬆️
keras-jax 63.33% <100.00%> (+<0.01%) ⬆️
keras-numpy 58.53% <100.00%> (+<0.01%) ⬆️
keras-openvino 33.79% <0.00%> (-0.01%) ⬇️
keras-tensorflow 63.74% <100.00%> (+<0.01%) ⬆️
keras-torch 63.37% <100.00%> (+<0.01%) ⬆️

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Thank you!

@google-ml-butler google-ml-butler bot added kokoro:force-run ready to pull Ready to be merged into the codebase labels Jun 27, 2025
@hertschuh hertschuh merged commit 744b8be into keras-team:master Jun 27, 2025
11 checks passed
@hertschuh hertschuh deleted the logsumexp branch June 27, 2025 20:50
Mohamed-Ashraf273 pushed a commit to Mohamed-Ashraf273/keras that referenced this pull request Jul 8, 2025
Using `keras.ops.math.logsumexp` with an int for `axis` in a functional model would throw an error.
kharshith-k pushed a commit to kharshith-k/keras that referenced this pull request Jul 23, 2025
Using `keras.ops.math.logsumexp` with an int for `axis` in a functional model would throw an error.
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5 participants