def test_invalid_type(self):
x = numpy.random.uniform(-1, 1, (2, )).astype(numpy.float32)
with self.assertRaises(type_check.InvalidType):
functions.Pad(1, mode='constant')(x, x)
def check_backward(self, x_data, g_data):
gradient_check.check_backward(functions.Pad(self.pad_width,
self.mode), x_data, g_data,
**self.check_backward_options)
def check_backward(self, x_data, g_data):
gradient_check.check_backward(
functions.Pad(self.pad_width,
mode=self.mode,
constant_values=self.constant_values), x_data,
g_data, **self.check_backward_options)