Add arguments to collect_results (#89611)
Fixes https://github.com/pytorch/torchdynamo/issues/1901. Test script:
```python
import copy
import torch
import torch._dynamo as dynamo
import torch._dynamo.config
dynamo.config.repro_after = "dynamo"
dynamo.config.repro_level = 4
def custom_backend(gm: torch.fx.GraphModule, example_inputs):
gm = copy.deepcopy(gm)
for node in gm.graph.nodes:
if len(node.args) > 1:
node.target = torch.add
node.args = (node.args[0], 0)
gm.recompile()
return gm
inp = torch.ones(5)
inp.requires_grad_(True)
@dynamo.optimize(custom_backend)
def foo(x):
x = x * x
return x.sum()
y = foo(inp)
print(y)
y.backward()
print(inp.grad)
```
Before, the script will finish but output an incorrect gradient. After the change, the accuracy minifier is triggered.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/89611
Approved by: https://github.com/ezyang
