Fix cloning with compiled sequential model

[Surya2k1]

Currently cloning of model is not considering compiled config.

As reported in #20884, the minimal code snippet is as follows.

from keras.layers import Dense, Input
from keras.models import Sequential, clone_model
clf = Sequential()
clf.add(Input((7,)))
clf.add(Dense(8, activation="relu"))
clf.add(Dense(1, activation="sigmoid"))
clf.compile(optimizer="adam", loss="binary_crossentropy", metrics=["accuracy"])
print("Original compiled?", clf.compiled)
cloned = clone_model(clf)
print("Cloned compiled?", cloned.compiled)

Added a fix for Sequential model and Functional model also.

Fixes #20884 .

Similar issue #20876

[codecov-commenter]

Codecov Report

Attention: Patch coverage is 62.50000% with 3 lines in your changes missing coverage. Please review.

Project coverage is 82.24%. Comparing base (b9a49ea) to head (5d9cdb8).
Report is 1 commits behind head on master.

Files with missing lines	Patch %	Lines
keras/src/models/cloning.py	62.50%	2 Missing and 1 partial ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##           master   #20888      +/-   ##
==========================================
- Coverage   82.24%   82.24%   -0.01%     
==========================================
  Files         561      561              
  Lines       52647    52683      +36     
  Branches     8136     8146      +10     
==========================================
+ Hits        43302    43331      +29     
- Misses       7341     7345       +4     
- Partials     2004     2007       +3     

Flag	Coverage Δ
keras	82.05% <62.50%> (-0.01%)	⬇️
keras-jax	64.18% <62.50%> (-0.04%)	⬇️
keras-numpy	58.97% <0.00%> (-0.05%)	⬇️
keras-openvino	32.55% <0.00%> (+0.03%)	⬆️
keras-tensorflow	64.80% <62.50%> (-0.04%)	⬇️
keras-torch	64.24% <62.50%> (-0.04%)	⬇️

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