In python, we can make an empty list easily by doing a = []. I want to do a similar thing but with Pytorch tensors. If you want to know why I need that, I want to get all of the data inside a given dataloader (to create another customer dataloader). Having an empty tensor can help me gather all of the data inside a tensor using a for-loop. This is a sudo code for it. all_data_tensor = # An empty tensor for data in dataloader: all_data_tensor = torch.cat((all_data_tensor, data), 0) Is there any way to do this? Continue reading...
