[JIT] check stack size after calling operator (#68788)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/68788
In debug mode, this should throw errors for ops where the wrong number ops is returned (i.e. the number of values left on the stack is different from the number shown in the schema)
Test Plan:
Run this in debug mode and verify that it doesn't throw an assert
```
import torch
class Thing(torch.nn.Module):
torch.jit.export
def en(self, x: torch.Tensor):
return torch.add(x, 2.0)
def forward(self, x: torch.Tensor, y: torch.Tensor):
a = torch.mm(x, y)
b = torch.nn.functional.gelu(a)
c = self.en(b)
return c.std_mean()
if __name__ == '__main__':
unsc = Thing()
thing = torch.jit.script(unsc)
x = torch.randn(4, 4)
y = torch.randn(4, 4)
std, mean = thing.forward(x, y)
print(std, mean)
print(str(thing.forward.graph))
```
Reviewed By: gchanan
Differential Revision: D32625256
Pulled By: davidberard98
fbshipit-source-id: 61d5ec0c5a9f8b43706257119f4f524bb9dbe6f5
