def test_sanity_check(self):
mySymbolicMatricesList = TypedListType(
T.TensorType(theano.config.floatX, (False, False)))()
z = Reverse()(mySymbolicMatricesList)
f = theano.function([mySymbolicMatricesList], z)
x = rand_ranged_matrix(-1000, 1000, [100, 101])
y = rand_ranged_matrix(-1000, 1000, [100, 101])
self.assertTrue(numpy.array_equal(f([x, y]), [y, x]))
def test_inplace(self):
mySymbolicMatricesList = TypedListType(
T.TensorType(theano.config.floatX, (False, False)))()
z = Reverse(True)(mySymbolicMatricesList)
f = theano.function([mySymbolicMatricesList], z, accept_inplace=True)
x = rand_ranged_matrix(-1000, 1000, [100, 101])
y = rand_ranged_matrix(-1000, 1000, [100, 101])
self.assertTrue(np.array_equal(f([x, y]), [y, x]))
def test_reverse_inplace(self):
mySymbolicMatricesList = TypedListType(T.TensorType(
theano.config.floatX, (False, False)))()
z = Reverse()(mySymbolicMatricesList)
m = theano.compile.mode.get_default_mode().including("typed_list_inplace_opt")
f = theano.function([In(mySymbolicMatricesList, borrow=True,
mutable=True)], z, accept_inplace=True, mode=m)
self.assertTrue(f.maker.fgraph.toposort()[0].op.inplace)
x = rand_ranged_matrix(-1000, 1000, [100, 101])
y = rand_ranged_matrix(-1000, 1000, [100, 101])
self.assertTrue(numpy.array_equal(f([x, y]), [y, x]))
