96f3404a574faa97b1895753fed7a602f853baa7,tests/keras/layers/test_recurrent.py,,_runner,#Any#,11

Before Change

    // check that output stays the same when state is reset
    layer.reset_states()
    out3 = K.eval(layer.get_output(train))
    assert_allclose(out1, out3, atol=1e-5)


class TestRNNS(unittest.TestCase):
    

After Change

    // check that output changes after states are reset
    // (even though the model itself didn"t change)
    layer.reset_states()
    out3 = model.predict(np.ones((nb_samples, timesteps, input_dim)))
    assert(out2.max() != out3.max())


class TestRNNS(unittest.TestCase):

Instances