def test_HardSigmiod(tmpdir): shape = (2, 3) x = C.input_variable(shape=shape, dtype=np.float32) alpha = 1.2 beta = 2.5 model = C.hard_sigmoid(x, alpha, beta, 'hardSigmoid') data = np.random.rand(*shape).astype(np.float32) verify_one_input(model, data, tmpdir, 'HardSigmoid_1')
def test_HardSigmiod(tmpdir, dtype): with C.default_options(dtype=dtype): shape = (2, 3) x = C.input_variable(shape=shape, dtype=dtype) alpha = 1.2 beta = 2.5 model = C.hard_sigmoid(x, alpha, beta, 'hardSigmoid') data = np.random.rand(*shape).astype(dtype) verify_one_input(model, data, tmpdir, 'HardSigmoid_1')
def test_HardSigmiod(tmpdir, dtype): with C.default_options(dtype = dtype): shape = (2,3) x = C.input_variable(shape=shape, dtype=dtype) alpha = 1.2 beta = 2.5 model = C.hard_sigmoid(x, alpha, beta, 'hardSigmoid') data = np.random.rand(*shape).astype(dtype) verify_one_input(model, data, tmpdir, 'HardSigmoid_1')