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print(f'Starting epoch {epoch+1}') # Iterate over the DataLoader for training data for i, data in enumerate(trainloader, 0): # Get inputs inputs, targets = data # Zero the gradients optimizer.zero_grad() # Perform forward pass outputs = mlp(inputs) # Compute loss loss = loss_function(outputs,