def test_bias_invalid_shape(self):
x1 = chainer.Variable(numpy.zeros((3, 2, 3), numpy.float32))
x2 = chainer.Variable(numpy.zeros((2), numpy.float32))
axis = 0
with chainer.DebugMode(True):
with self.assertRaises(AssertionError):
functions.bias(x1, x2, axis)
def test_bias_invalid_argc2(self):
func = links.Bias(self.axis, None)
with chainer.DebugMode(True):
with self.assertRaises(AssertionError):
func(self.x)
def test_bias_invalid_argc1(self):
func = links.Bias(self.axis, self.b.data.shape)
with chainer.DebugMode(True):
with self.assertRaises(AssertionError):
func(self.x, self.b)
def test_scale_invalid_argc1(self):
func = links.Scale(self.axis, self.W.data.shape)
with chainer.DebugMode(True):
with self.assertRaises(AssertionError):
func(self.x, self.W)