Freaks City

import torch # Initialize a tensor with gradient tracking x = torch.tensor([1.0, 2.0, 3.0, 4.0], requires_grad=True) # Compute a scalar output y = 3 * torch.dot(x, x) # Backpropagation y.backward() # Display gradients print(f"Input tensor: {x}") print(f"Gradients: {x.grad}") Gradinet Management # Zero out gradients b ...