質問編集履歴
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test
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test
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Tensor for 'out' is on CPU, Tensor for argument #1 'self' is on CPU, but expected them to be on GPU (while checking arguments for addmm)
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```
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```python
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def train(net, trainloader, NUM_EPOCHS):
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train_loss = []
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for epoch in range(NUM_EPOCHS):
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running_loss = 0.0
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optimizer.zero_grad()
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outputs = net(trainset)
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loss = criterion(outputs, trainset)
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loss.backward()
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optimizer.step()
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loss = running_loss / len(trainloader)
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train_loss.append(loss)
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print('Epoch {} of {}, Train Loss: {:.3f}'.format(
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epoch+1, NUM_EPOCHS, loss))
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save_decoded_image(img_noisy.cpu().data, name='./Saved_Images/noisy{}.png'.format(epoch))
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save_decoded_image(outputs.cpu().data, name='./Saved_Images/denoised{}.png'.format(epoch))
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return train_loss
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# the loss function
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criterion = nn.MSELoss()
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# the optimizer
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optimizer = optim.Adam(net.parameters(), lr=LEARNING_RATE)
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device = get_device()
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print(device)
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#torch.tensor(device)
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net.to(device)
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make_dir()
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train_loss = train(net, trainloader, NUM_EPOCHS)
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```
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