Remove log.log.

[james77777778]

I believe this file was wrongly committed in #21842

[gemini-code-assist]

Summary of Changes

Hello @james77777778, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request addresses a minor repository cleanup by removing a log.log file that was inadvertently committed. The removal ensures that only necessary files are tracked in the version control system, contributing to a cleaner and more organized codebase.

Highlights

• File Removal: The log.log file has been removed from the repository. This file appears to have been committed by mistake in a previous pull request, Support jax2tf in JaxLayer for tf backend #21842.

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[gemini-code-assist]

Code Review

This pull request correctly removes the log.log file, which appears to be a test log that was accidentally committed. This is a good cleanup measure. While the provided style guide on Keras API design isn't directly applicable to this file removal, I've added a suggestion to update .gitignore to prevent similar files from being committed in the future, which is a general best practice for repository maintenance.

[codecov-commenter]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 82.56%. Comparing base (846a297) to head (c786fca).

Additional details and impacted files

@@           Coverage Diff           @@
##           master   #21890   +/-   ##
=======================================
  Coverage   82.56%   82.56%           
=======================================
  Files         578      578           
  Lines       59786    59786           
  Branches     9384     9384           
=======================================
  Hits        49365    49365           
  Misses       8001     8001           
  Partials     2420     2420           

Flag	Coverage Δ
keras	82.38% <ø> (ø)
keras-jax	62.89% <ø> (ø)
keras-numpy	57.45% <ø> (ø)
keras-openvino	34.33% <ø> (ø)
keras-tensorflow	64.42% <ø> (ø)
keras-torch	63.59% <ø> (ø)

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