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# Owner(s): ["oncall: jit"]
import torch
from torch.testing._internal.jit_utils import JitTestCase
class TestFuserCommon(JitTestCase):
def test_autodiff_fallback(self):
for rq in [True, False]:
@torch.jit.script
def fn(x):
return torch.max(x**2.0, x**3.0)
x = torch.randn(5, requires_grad=not rq)
# cause optimization to be created
for i in range(5):
fn(x)
# test fallback when optimization is not applicable
y = fn(torch.randn(5, requires_grad=rq))
self.assertEqual(y.requires_grad, rq)
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