Comments (2)
xunhuang1995
commented on August 25, 2024
Our code has compatibility issues with the newly release pytorch 0.4.0. We will update the code to solve the problems. Before that, please use pytorch 0.3 if you want to test our code.
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ChungTW
commented on August 25, 2024
Thanks for your notification. Very useful information. Thank you!!
…On Fri, Apr 27, 2018 at 11:04 AM, Xun Huang ***@***.***> wrote:
Our code has compatibility issues with the newly release pytorch 0.4.0. We
will update the code to solve the problems. Before that, please use pytorch
0.3 if you want to test our code.
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Related Issues (20)
- How to implement MUNIT with K Fold Cross Validation?
- Question about Multi-GPU training on single machine HOT 4
- Can you use non-standardised dataset for training?
- Checkpoint images examples?
- Can i do train grayscale-imageset?
- Pytorch version >=1.0 How to load VGG16 pretrain in VGG16.T7? HOT 1
- Experiment of using Instance Normalization vs Layer Normalization on Decoder HOT 8
- AdaptiveInstanceNorm2d and the LayerNorm misunderstand
- May I ask if everyone will prompt "Warning: NaN or Inf found in input tensor." during runtime? HOT 1
- Questions about batch_size and GPU memory usage
- loss Nan
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- After F(x)+x, the ResBlock seems not follow by a non-linearity activation HOT 1
- Ideas to speed up training phase
- Missing max pooling layer in the Vgg16 network structure
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- Ŕ
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