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inputs inputs, targets = data # Zero the gradients optimizer.zero_grad() # Perform forward pass outputs = mlp(inputs) # Compute loss loss = loss_function(outputs, targets) # Specify L1 and L2 weights l1_weight = 0.3 l2_weight = 0.7 # Compute L1 and L2 loss component parameters = [] for parameter in