Comments (3)
balajib363
commented on June 17, 2024
Hello,
Even I am facing exactly the same issue.
Can anybody guide me with the appropriate solution for it?? My generator accuracy is too bad for a custom dataset.
And here while training the input dataset can be any resolution irrespective of what output we generate???
Thanks
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jeffheaton
commented on June 17, 2024
I am reworking much of the GAN code right now for full 2.0 compatibility, I will address this as well very soon.
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jeffheaton
commented on June 17, 2024
There was an issue here, this should be fixed with my 2.0 redesign. Of course, if you push the resolution considerably higher, you may need to adjust the network structure to be able to account for it, or it may fail to converge. But you should not see an error like was reported here.
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Related Issues (20)
- Win 11 install HOT 1
- remove 'env' from 'conda env create...' in installation guide HOT 1
- A small mistake in 03_2_keras HOT 1
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- Running Early Stopping with Classification on an M1 Max early stop is not triggered HOT 2
- Running instalation step by step HOT 3
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- Error: failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected HOT 2
- Error: update_endpoint is a no-op in sagemaker>=2. See: https://sagemaker.readthedocs.io/en/stable/v2.html for details. HOT 1
- Trying to install conda environment from yml file fails. Manual installation works fine HOT 1
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- regarding pytorch branch folder install file torch.yml (not sure if it is an issue) HOT 1
- CuDNN version conflict after following WSL install instructions HOT 1
- typo in module 2, part 2.5 HOT 1
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