ue)
        >>> weight = torch.randn(1, 1, 1, 2, requires_grad=True)
        >>> output = F.conv2d(input, weight)
        >>> grad_output = torch.randn(output.shape)
        >>> grad_input = torch.autograd.grad(output, input, grad_output)
        >>> F.grad.conv2d_input(input.shape, weight, grad_output)

    r