Update Torch version everywhere and TF version on GPU.

[hertschuh]

Replacement for #21704

[gemini-code-assist]

Summary of Changes

Hello @hertschuh, 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 focuses on synchronizing and upgrading the versions of key deep learning framework dependencies, specifically Torch and TensorFlow, across various environment configurations. The primary goal is to ensure the project benefits from the latest features, performance improvements, and bug fixes provided by these updated library versions, thereby enhancing overall stability and compatibility.

Highlights

• Torch Version Update: The Torch dependency has been updated across all relevant requirement files from version 2.6.0 to 2.8.0.
• TensorFlow Version Update: The TensorFlow dependency, including both CPU-only and CUDA-enabled versions, has been updated from 2.18.1 to 2.20.0 in the respective requirement files.
• Torch-XLA Update: The torch-xla dependency has been updated from 2.6.0 to 2.8.1 in files where it is specified.

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[gemini-code-assist]

Code Review

This pull request updates the versions of TensorFlow and PyTorch across various requirement files. The changes are mostly straightforward version bumps. I've identified one potential issue in requirements.txt where the PyTorch dependency for macOS seems to have been accidentally removed. My review includes a suggestion to fix this.

[codecov-commenter]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 31.66%. Comparing base (22524e1) to head (d514ad4).
⚠️ Report is 1 commits behind head on master.

❗ There is a different number of reports uploaded between BASE (22524e1) and HEAD (d514ad4). Click for more details.

HEAD has 4 uploads less than BASE

Flag	BASE (22524e1)	HEAD (d514ad4)
keras	5	3
keras-openvino	1	0
keras-torch	1	0

Additional details and impacted files

@@             Coverage Diff             @@
##           master   #21732       +/-   ##
===========================================
- Coverage   82.59%   31.66%   -50.93%     
===========================================
  Files         572      572               
  Lines       58535    58535               
  Branches     9158     9158               
===========================================
- Hits        48345    18538    -29807     
- Misses       7853    38760    +30907     
+ Partials     2337     1237     -1100     

Flag	Coverage Δ
keras	31.61% <ø> (-50.79%)	⬇️
keras-jax	28.25% <ø> (-34.95%)	⬇️
keras-numpy	25.42% <ø> (-32.15%)	⬇️
keras-openvino	?
keras-tensorflow	27.74% <ø> (-36.21%)	⬇️
keras-torch	?

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