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## 🐛 Bug
I used the torch.jit.trace() in python to trace the fasterrcnn_resnet50_fpn model provided in the latest torchvision (I installed the torchvision from source). However, an unhandled exce…
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I have a very lengthy code that I thought to speed up using DataParallel module. I tested it with 2 GPUs but my dataloader pulls from a dataset with an odd number of samples. The training goes well up…
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I was thinking to split the documentation into chapters, and relocate it into a `doc` folder, like we have done for the other packages of Torch.
Would this be an acceptable PR?
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## 🐛 Bug
## To Reproduce
```
import torch
def gemm(CPU):
if CPU == True:
A = torch.randint(1,10,[3,3]).type(torch.int8)
B = torch.randint(1,10,[3,3]).type(torch.int8)
C = A@B…
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## 🐛 Bug
We get a internal assertion failure when trying to index named tensors like this: `named_tensor[[0]]`.
The error message says `RuntimeError: false INTERNAL ASSERT FAILED` and `Unknown Dis…
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## 🐛 Bug
The backward pass over `torch.nn.functional.pad` is more than 300x slower with half tensors compared to fp32 tensor for the example below.
## To Reproduce
```
import torch
import t…
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I used a dataset with modifications encoded as "1" and "2".
[data.txt](https://github.com/horsepurve/DeepRTplus/files/2529426/data.txt)
And the same data with all modified peptides removed.
[data…
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My current working environment can only use Pytorch 1.1.0. How can I modify the code to adapt to Pytorch 1.1.0.?
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I think people tend to get confused that when a iterator is created with repeat set to true, it's up to them to break out of the for-loop when they are ready (the iterator never stops). It seems like …
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here is my code
torch::Device deviceInfo(torch::kCUDA, 1);
module->to(deviceInfo);
but i got this error
terminate called after throwing an instance of 'c10::Error'
what(): CUDA out o…