def test_Or(tmpdir):
data1 = np.asarray([[1, 1, 0, 0], [1, 1, 1, 1]], np.float32)
data2 = np.asarray([1, 0, 1, 0], np.float32)
model = C.element_or(data1, data2)
verify_no_input(model, tmpdir, 'Or_0')
x = C.input_variable(np.shape(data1))
y = C.input_variable(np.shape(data2))
model = C.element_or(x, data2)
verify_one_input(model, data1, tmpdir, 'Or_1')
model = C.element_or(x, y)
verify_two_input(model, data1, data2, tmpdir, 'Or_2')
def test_Or(tmpdir):
pytest.skip('Need to support new ONNX spec.')
data1 = np.asarray([[1, 1, 0, 0],[1, 1, 1, 1]], np.float32)
data2 = np.asarray([1, 0, 1, 0], np.float32)
model = C.element_or(data1, data2)
verify_no_input(model, tmpdir, 'Or_0')
x = C.input_variable(np.shape(data1))
y = C.input_variable(np.shape(data2))
model = C.element_or(x, data2)
verify_one_input(model, data1, tmpdir, 'Or_1')
model = C.element_or(x, y)
verify_two_input(model, data1, data2, tmpdir, 'Or_2')
