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I tried with celebAmask-HQ dataset (MaskGAN) with 19 lebel_nc and got a strange error:
RuntimeError: cuDNN error: CUDNN_STATUS_NOT_INITIALIZED
terminate called after throwing an instance of 'c10::Error'
what(): CUDA error: device-side assert triggered
after searching for a while i found that someone posted the same kind of error on "pix2pixHD" model but i am yet unable to solve it. kindly help if anyone knows. BTW Facades dataset work fine so there is no problem with CudNN or CUDA i think.
The text was updated successfully, but these errors were encountered:
For me the problem was, that I used RGBs as Input and not one-hot-coded labels. Using the "--no_one_hot" option solved the issue for me.
Does that mean your inputs are generic RGB images? What other options have you modified? I try to run the network for RGB or gray scale input images and don't know what to do with "--label_nc" option as, I assume, it defines the number of channels of input images.
I tried with celebAmask-HQ dataset (MaskGAN) with 19 lebel_nc and got a strange error:
RuntimeError: cuDNN error: CUDNN_STATUS_NOT_INITIALIZED
terminate called after throwing an instance of 'c10::Error'
what(): CUDA error: device-side assert triggered
after searching for a while i found that someone posted the same kind of error on "pix2pixHD" model but i am yet unable to solve it. kindly help if anyone knows. BTW Facades dataset work fine so there is no problem with CudNN or CUDA i think.
The text was updated successfully, but these errors were encountered: