test_basic.py 文件源码

def test_grad_argmax(self):
        data = rand(2, 3)
        n = as_tensor_variable(data)

        # test grad of argmax
        utt.verify_grad(lambda v: argmax(v, axis=-1), [data])

        utt.verify_grad(lambda v: argmax(v, axis=[0]), [data])

        utt.verify_grad(lambda v: argmax(v, axis=[1]), [data])

        utt.verify_grad(lambda v: argmax(v.flatten()), [data])

        try:
            grad(argmax(n, axis=-1), n)
            raise Exception('Expected an error')
        except TypeError:
            pass