Andrei-Cristian Rad
Andrei-Cristian Rad
@rahuldey91 what are the steps to reproduce the solution in (i)? What I did is: - Split the tensor along batch dim (separate the tensors into a list) - Created...
I'm working on traffic data. The shape of a batch of input data is [batch_size, seq_len, n_nodes, d_hidden] ``` x = torch.randn((8, 12, 207, 16)) # 1200 random edges between...
Makes sense. Thank you for pointing out the mistake! LE: For anyone looking for performance, the `torch.stack` approach may be faster than the `Batch`, depending on the data. I did...
The output is the raw logits per class for each sample, and all you need to do then is a softmax/argmax to get the class labels. Is this intended?
@ThomasAFink @StefanBloemheuvel Sorry for the (very) late reply. I think I actually managed to get the data right somewhere last year. I actually have a repo where I have tried...
Happens to me with a Pytorch dependency. 'torch': {'url': 'https://download.pytorch.org/whl/cu117/torch-1.13.1%2Bcu117-cp310-cp310-linux_x86_64.whl'},