Hi everyone,
I encountered an issue when trying to load a Keras model saved as an .h5 file. Here's the setup:
- Python version: 3.12
- TensorFlow version: 2.18
- Code:
```python from tensorflow.keras.models import load_model
# Trying to load a pre-saved model model = load_model('./resources/pd_voice_gru.h5') ```
- Error message:
ValueError: Unrecognized keyword arguments passed to GRU: {'time_major': False}
What I've tried:
1. Checked the TensorFlow and Keras versions compatibility.
2. Attempted to manually modify the .h5 file (unsuccessfully).
3. Tried to re-save the model in a different format but don't have the original training script.
Questions:
1. Why is time_major causing this error in TensorFlow 2.18?
2. Is there a way to ignore or bypass this parameter during model loading?
3. If the issue is due to version incompatibility, which TensorFlow version should I use?
Any help or suggestions would be greatly appreciated!
Thank you!
Comment From: fchollet
That option has been removed in Keras 3 (it was extremely niche). It looks like your saved model file makes a reference to the arg but doesn't use the option (time_major=False).
The solution is to remove the arg. If you have still access to the code, you can:
- Reload the model in Keras 2
- Save the weights only (
model.save_weights(fname)) - Reload the model in Keras 3 (typically no code changes are necessary, but occasionally might be needed)
- Reload the weights file
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