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