def test_sequential_clique_with_layers(input_elements, expected):
x = C.input_variable(input_elements)
np_data = np.arange(input_elements, dtype=np.float32)
unit_dense = Dense(input_elements, activation=None, init=1)
seq_clique = SequentialClique([unit_dense, unit_dense, unit_dense])(x)
assert seq_clique.shape == x.shape
res = seq_clique.eval(np_data)
assert res[0].shape == (input_elements, )
assert np.unique(res[0])[0] == expected
def test_sequential_clique_with_layers(input_elements, expected):
x = C.input_variable(input_elements)
np_data = np.arange(input_elements, dtype=np.float32)
unit_dense = Dense(input_elements, activation=None, init=1)
seq_clique = SequentialClique([unit_dense, unit_dense, unit_dense])(x)
assert seq_clique.shape == x.shape
res = seq_clique.eval(np_data)
assert res[0].shape == (input_elements,)
assert np.unique(res[0])[0] == expected
def test_sequential_clique_with_functions(input_data):
x = input(len(input_data))
seq_clique = SequentialClique([abs, sqrt, square])(x)
assert seq_clique.shape == x.shape
np_data = np.asarray(input_data, np.float32)
res = seq_clique.eval(np_data)
expected_res = np.abs(np_data) + np_data
expected_res += np.sqrt(expected_res)
expected_res = np.square(expected_res)
expected_res.shape = (1, ) + expected_res.shape
np.testing.assert_array_almost_equal(res, expected_res, decimal=4)
def test_sequential_clique_with_functions(input_data):
x = C.input_variable(len(input_data))
seq_clique = SequentialClique([abs, sqrt, square], name="my_clique")(x)
assert seq_clique.name == "my_clique"
assert seq_clique.shape == x.shape
np_data = np.asarray(input_data, np.float32)
res = seq_clique.eval(np_data)
expected_res = np.abs(np_data) + np_data
expected_res += np.sqrt(expected_res)
expected_res = np.square(expected_res)
expected_res.shape = (1,) + expected_res.shape
np.testing.assert_array_almost_equal(res, expected_res, decimal=4)