def test_grad(self):
x = T.vector('x')
a = np.random.random(50).astype(config.floatX)
theano.function([x], T.grad(T.sum(diff(x)), x))
utt.verify_grad(self.op, [a])
for k in range(TestDiffOp.nb):
theano.function([x], T.grad(T.sum(diff(x, n=k)), x))
utt.verify_grad(DiffOp(n=k), [a], eps=7e-3)
def setUp(self):
super(TestDiffOp, self).setUp()
self.op_class = DiffOp
self.op = DiffOp()
def setup_method(self):
super().setup_method()
self.op_class = DiffOp
self.op = DiffOp()
