Comments (4)
mquillot
commented on June 29, 2024
1
Ok, I solved the problem. I'm working with tensorflow 1.14 and keras was not in the right version (2.2.5). Thank you for your help. :)
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tensorfreitas
commented on June 29, 2024
Hi @Herlderlord
This is probably not related with the code. Can you run other TensorFlow examples? Or do you have cudnn problems only with this repo?
When you install a specific version of TF you should install the correct cudnn version as described by the TF documentation
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mquillot
commented on June 29, 2024
I can run other tensorflow scripts on my gpu without any problem. I'm surprised that this does not work well. Maybe it is related to tensorboard.
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tensorfreitas
commented on June 29, 2024
This code might be incompatible with most recent versions of TensorFlow since it was written 2+ years ago. With all the changes from TensorFlow 2.0 you might need to adapt some code.
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Related Issues (20)
- Evaluation alphabets acuracy: 1.0, is that right? HOT 2
- The training went wrong. HOT 3
- Training loss does not change in the first 700 iterations HOT 8
- Version of tensorflow HOT 1
- code problems HOT 1
- How do I test the trained model? HOT 3
- train epoch acc have no change HOT 6
- [Question] about the difference between the paper and implementation
- Keras and TensorFlow versions. HOT 1
- running it for new data HOT 1
- Low accuracy HOT 3
- requirements.txt HOT 2
- AttributeError: 'decode' HOT 1
- Dataset has same character in different labels (in one language) HOT 2
- Using with own dataset HOT 9
- Author's implementation HOT 1
- prediction code HOT 1
- pretrained model HOT 3
- tensorboard_log_path and model weights HOT 1
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