1c221934aaeab20ed5b6fa245b33b00a8b557533,tests/keras/backend/backend_test.py,TestBackend,test_rnn_no_states,#TestBackend#,815

Before Change

        last_y1, y1, h1 = KNP.rnn(x, [wi, None, None], None,
                                  go_backwards=False, mask=None)
        last_y2, y2, h2 = K.rnn(rnn_fn, x_k, [],
                                go_backwards=False, mask=None)

        assert len(h2) == 0

After Change

        _, x = parse_shape_or_val((num_samples, timesteps, input_dim))
        _, wi = parse_shape_or_val((input_dim, output_dim))
        mask = np.random.randint(2, size=(num_samples, timesteps))

        wi_k = K.variable(wi)

        def get_step_function(backend, w_i):

            def simple_no_states(inputs, states):
                assert len(states) == 0
                y = backend.dot(inputs, w_i)
                return y, []

            return simple_no_states

        kwargs_list = [
            {"go_backwards": False, "mask": None},
            {"go_backwards": True, "mask": None},
            {"go_backwards": False, "mask": mask},
            {"go_backwards": True, "mask": mask},
        ]
        for kwargs in kwargs_list:
            check_rnn_operation(step_function_k=get_step_function(K, wi_k),
                                step_function_np=get_step_function(KNP, wi),
                                inputs_np=x,

Instances