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Summary of Changes: - Replaced the custom stack_dict function (which used native TF ops like tf.concat and tf.cast on symbolic tensors) with tf.keras.layers.Concatenate(axis=-1). - Updated input preprocessing to use a sorted list comprehension for deterministic ordering. - Updated normalizer.adapt() data handling to prevent tracking issues with symbolic tensors. Why This Change is Needed: - In modern Keras, running native TensorFlow operations directly on symbolic KerasTensor placeholders inside a Functional API model definition can cause tracing and compatibility errors. - Using built-in Keras layers ensures the symbolic graph can track the inputs correctly.
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bogaktik
marked this pull request as draft
November 1, 2026 23:52
bogaktik
marked this pull request as ready for review
November 1, 2026 23:53
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Summary of Changes:
Why This Change is Needed: