Fix Keras3 Issues in TF 2.16.1 for 3.0 new API

[zehao-intel]

Type of Change

bug fix

Description

There are multiple issues caused by Keras3 changes in tf2.16.1.
This PR is to fix them.

• Conv related base layer importing issue.
• The call method should be adapted with the new implementation of base layers.
• Saving format is changed for Keras models.
• The compute_output_shape method is required in custom layer class.
• The batch_normalization layer is removed in Keras 3.

How has this PR been tested?

UT

Dependency Change?

NO

[github-actions]

⛈️ Required checks status: Has failure 🔴

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🟢 Code Scan Tests workflow

Check ID	Status	Error details
Code-Scan	success		✅
Code-Scan (Bandit Code Scan Bandit)	success		✅
Code-Scan (DocStyle Code Scan DocStyle)	success		✅
Code-Scan (Pylint Code Scan Pylint)	success		✅

These checks are required after the changes to neural_compressor/tensorflow/keras/layers/conv2d.py, neural_compressor/tensorflow/keras/layers/depthwise_conv2d.py, neural_compressor/tensorflow/keras/layers/quantizer.py, neural_compressor/tensorflow/keras/layers/separable_conv2d.py, neural_compressor/tensorflow/utils/model_wrappers.py.

🔴 Unit Tests 3x-TensorFlow workflow

Check ID	Status	Error details
UT-3x-TensorFlow	failure		❌
UT-3x-TensorFlow (Coverage Compare CollectDatafiles)	no_status		❓
UT-3x-TensorFlow (Unit Test 3x TensorFlow Unit Test 3x TensorFlow)	success		✅
UT-3x-TensorFlow (Unit Test 3x TensorFlow baseline Unit Test 3x TensorFlow baseline)	failure	download	❌

These checks are required after the changes to neural_compressor/tensorflow/keras/layers/conv2d.py, neural_compressor/tensorflow/keras/layers/depthwise_conv2d.py, neural_compressor/tensorflow/keras/layers/quantizer.py, neural_compressor/tensorflow/keras/layers/separable_conv2d.py, neural_compressor/tensorflow/utils/model_wrappers.py, test/3x/tensorflow/keras/test_config.py, test/3x/tensorflow/quantization/test_smooth_quant.py, test/3x/tensorflow/test_autotune.py.

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