fix: remove TensorFlow dependency from image processing#577
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Sheshank-singh wants to merge 1 commit intogoogle-deepmind:mainfrom
Open
fix: remove TensorFlow dependency from image processing#577Sheshank-singh wants to merge 1 commit intogoogle-deepmind:mainfrom
Sheshank-singh wants to merge 1 commit intogoogle-deepmind:mainfrom
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Replace TensorFlow's JPEG encode/decode operations with pure JAX/PIL implementation. This change: - Removes unnecessary TensorFlow dependency from gemma/multimodal/image.py - Improves consistency by using only JAX/NumPy for ML operations - Uses PIL (already imported) for JPEG encoding/decoding instead - Maintains identical functionality and behavior Implementation details: - Clips image to uint8 range (0-255) for JPEG compatibility - Uses PIL to encode image to JPEG bytes buffer - Decodes JPEG bytes back to RGB array for standardization - Converts back to float32 JAX array for subsequent processing This closes the TODO comment that requested TensorFlow dependency removal. The PIL library is part of Python standard ecosystem and already used elsewhere in the file for image loading. Files Modified: - gemma/multimodal/image.py
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Replace TensorFlow's JPEG encode/decode operations with pure JAX/PIL implementation. This change:
Implementation details:
This closes the TODO comment that requested TensorFlow dependency removal. The PIL library is part of Python standard ecosystem and already used elsewhere in the file for image loading.
Files Modified: