Keras model.to_json() error: 'rawunicodeescape' codec can't decode bytes in position 94-98: truncated \uXXXX
This error occurs when saving a Keras model to JSON format using the to_json()
method. The error message indicates that the codec 'rawunicodeescape'
cannot decode bytes in a specific position in the JSON string. This can be caused by various reasons, including:
- Non-ASCII Characters in File Path: If the path to the file where the model is being saved contains non-ASCII characters, it can cause the error. Ensure that the file path only contains ASCII characters.
- Python Version: This error is more commonly encountered in Python 3 due to changes in the way Unicode characters are handled compared to Python 2. In Python 3, special characters like
\u
can cause decoding issues. - Lambda Layers: Using Lambda layers in your model can sometimes lead to this error when saving to JSON. Try replacing Lambda layers with other types of layers like BatchNormalization.
- Keras Version: Older versions of Keras may have bugs that can cause this error. Ensure that you are using the latest version of Keras to avoid such issues.
To resolve this error, you can try the following solutions:
- Use ASCII File Paths: Save the model to a file path that only contains ASCII characters. Avoid using non-ASCII characters in the file path.
- Upgrade Python Version: If you are using Python 2, consider upgrading to Python 3 and ensure that your code is compatible with Python 3.
- Avoid Lambda Layers: If possible, try to avoid using Lambda layers in your model. If you must use Lambda layers, consider saving the model in a different format like HDF5 instead of JSON.
- Update Keras: Install the latest version of Keras to ensure that you are using the most recent bug fixes and improvements.
- Use Double Backslashes: In some cases, doubling all forward and backslashes in the file path can help resolve the issue. For example, change
'c:\desktop\uranuimmodel.keras'
to'c:\\desktop\\uranuimmodel.keras'
.
If you have tried these solutions and the error persists, you can refer to the GitHub issue here for more information and potential workarounds.