copy.py 文件源码

def backward(self, inputs, grad_outputs):
        # In this function, `grad_outputs` contains cuda arrays even when
        # `inputs` only contains numpy arrays.
        if isinstance(inputs[0], cuda.ndarray):
            return self.backward_gpu(inputs, grad_outputs)
        else:
            return self.backward_cpu(inputs, grad_outputs)