def test_forward_pass_single_samples(self):
lc = RectifiedLinear(1, 1)
for x, t in zip(self.X, self.T):
t = np.atleast_2d(t)
x = np.atleast_2d(x)
out_buf = np.zeros_like(t)
lc.forward_pass(np.array([]), [x], out_buf)
assert_allclose(out_buf, t)
def test_forward_pass_single_samples(self):
lc = RectifiedLinear(1, 1)
for x, t in zip(self.X, self.T):
t = np.atleast_2d(t)
x = np.atleast_2d(x)
out_buf = np.zeros_like(t)
lc.forward_pass(np.array([]), [x], out_buf)
assert_allclose(out_buf, t)
def test_forward_pass_multi_sample(self):
lc = RectifiedLinear(1, 1)
out_buf = np.zeros(self.T.shape, dtype=self.T.dtype)
lc.forward_pass(np.array([]), [self.X], out_buf)
assert_allclose(out_buf, self.T)
def test_dimensions(self):
lc = RectifiedLinear(5, 5)
self.assertEqual(lc.input_dim, 5)
self.assertEqual(lc.output_dim, 5)
self.assertEqual(lc.get_param_dim(), 0)
def test_backprop_multisample(self):
lc = RectifiedLinear(1, 1)
assert_backprop_correct(lc, np.array([]), [self.X],
np.ones_like(self.T))
def test_forward_pass_multi_sample(self):
lc = RectifiedLinear(1, 1)
out_buf = np.zeros(self.T.shape, dtype=self.T.dtype)
lc.forward_pass(np.array([]), [self.X], out_buf)
assert_allclose(out_buf, self.T)
def test_dimensions(self):
lc = RectifiedLinear(5, 5)
self.assertEqual(lc.input_dim, 5)
self.assertEqual(lc.output_dim, 5)
self.assertEqual(lc.get_param_dim(), 0)
