I think the correct way the code the training is that optimizer.zero_grad() # Forward pass outputs = model(images) loss = criterion(outputs, labels) # Backward and optimize loss.backward() optimizer.step() not that # Forward pass outputs = model(images)...

https://github.com/yunjey/pytorch-tutorial/blob/master/tutorials/01-basics/pytorch_basics/main.py: [email protected]:~/dev-learn/gpu/pytorch/tutorial# python3 pytorch-main.py tensor(2.) tensor(1.) tensor(1.) w: Parameter containing: tensor([[-0.4404, -0.1190, 0.4829], [ 0.4956, -0.3760, 0....

Traceback (most recent call last): File "D:/PycharmWorkspace/pytorch-tutorial/tutorials/01-basics/pytorch_basics/main.py", line 154, in train_loader = torch.utils.data.DataLoader(dataset=custom_dataset, File "D:\anaconda3\envs\torch\lib\site-packages\torch\utils\data\dataloader.py", line 262, in in...

#=============================================# 2.Basic autogard example2 #=============================================# Create tensors of shape (10,3) and (10,2) x = torch.randn(10, 3) y = torch.randn(10, 2) Build a fully connected layer linear = nn.linear(3, 2) print('w:', linear.weight) print('b...

any answer appreciated!

Does anyone know the source code of channel calculation in pytorch?

I don't understand the content of program of neural_style_transfer, especially the parameters of optimizer. Why the params of optimizer is image, nor model's paramters? and how this program get such good results? what's the learning method of it? if you can, please give me the corresponding article....

Having Jupyter Notebooks of all the python scripts might be helpful for newcomers, as they can now directly place the link of the Github repo in Colab and run the scripts from there.