[aotinductor] Fix benchmarks with self.autocast (#110490)
Fixes https://github.com/pytorch/pytorch/issues/108173
The original error was that there was a type mismatch between the output of eager mode (float16) and from aot_compile (float32). This is because when we run the model eagerly in the benchmarks, we call [self.model_iter_fn](https://github.com/pytorch/pytorch/blob/main/benchmarks/dynamo/common.py#L2072-L2076) to run the model, rather than directly calling the model. In the case of timm models, it calls the model with [self.autocast()](https://github.com/pytorch/pytorch/blob/main/benchmarks/dynamo/timm_models.py#L321-L323), causing the eager model to return a float16 value. However, the model we export with aot_compile does not have the self.autocast context, so it returns float32.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/110490
Approved by: https://github.com/desertfire
