Modified compute_output_shape function to handle broadcasting behavior in layers.Rescaling

[sonali-kumari1]

• Fixed compute_output_shape() in Rescaling to correctly handle the broadcasting and ensure consistent shapes in model.summary() and model.output_shape.
• Improved Rescaling layer docstring with detailed description of scale and offset parameters.

Fixes #21319

[codecov-commenter]

Codecov Report

Attention: Patch coverage is 73.33333% with 8 lines in your changes missing coverage. Please review.

Project coverage is 77.09%. Comparing base (de9cf25) to head (1b04bd7).
Report is 17 commits behind head on master.

Files with missing lines	Patch %	Lines
keras/src/layers/preprocessing/rescaling.py	73.33%	4 Missing and 4 partials ⚠️

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HEAD has 2 uploads less than BASE

Flag	BASE (de9cf25)	HEAD (1b04bd7)
keras	5	4
keras-torch	1	0

Additional details and impacted files

@@            Coverage Diff             @@
##           master   #21351      +/-   ##
==========================================
- Coverage   82.65%   77.09%   -5.56%     
==========================================
  Files         565      565              
  Lines       54823    54934     +111     
  Branches     8514     8532      +18     
==========================================
- Hits        45315    42354    -2961     
- Misses       7414    10544    +3130     
+ Partials     2094     2036      -58     

Flag	Coverage Δ
keras	77.01% <73.33%> (-5.46%)	⬇️
keras-jax	63.55% <73.33%> (-0.04%)	⬇️
keras-numpy	58.68% <26.66%> (-0.07%)	⬇️
keras-openvino	33.55% <3.33%> (+0.41%)	⬆️
keras-tensorflow	63.94% <73.33%> (-0.07%)	⬇️
keras-torch	?

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[fchollet]

Thanks for the PR! The change should be accompanied by a unit test.

[fchollet]

Please fix the failing torch test

FAILED keras/src/layers/preprocessing/rescaling_test.py::RescalingTest::test_rescaling_broadcast_output_shape - AssertionError: False is not true : Expected output shapes (2, 2) but received torch.Size([2, 2, 2])