Fix an issue with recent batch fusion update

Summary:
Fix two bugs introduced by D49793793 and D49871774.

1. [framework] We still need to import the model by hardcoding the prefix ".models", because the name of the model is in the format of "dots", not "slashes". Calling `os.path.dirname` will generate empty string.
2. [inductor_speedup] Remove the 2 "_optimus" tests that are already deprecated in the Ads test set.

Reviewed By: aaronenyeshi

Differential Revision: D49889169

fbshipit-source-id: 968aef2d8c217859ce8c89af2142df64d7a0e8a4

torchbenchmark/__init__.py

@@ -264,8 +264,8 @@ def __init__(
         if _is_internal_model(model_path):
             model_path = f"{internal_model_dir}.{model_path}"
         self._worker = Worker(timeout=timeout, extra_env=extra_env)
-        self.worker.run("import torch")
 
+        self.worker.run("import torch")
         self._details: ModelDetails = ModelDetails(
             **self._maybe_import_model(
                 package=__name__,
@@ -299,10 +299,9 @@ def _maybe_import_model(package: str, model_path: str) -> Dict[str, Any]:
         import traceback
 
         model_name = os.path.basename(model_path)
-        model_dir = os.path.basename(os.path.dirname(model_path))
         diagnostic_msg = ""
         try:
-            module = importlib.import_module(f'.{model_dir}.{model_name}', package=package)
+            module = importlib.import_module(f'.models.{model_name}', package=package)
             if accelerator_backend := os.getenv("ACCELERATOR_BACKEND"):
                 setattr(module, accelerator_backend, importlib.import_module(accelerator_backend))
             Model = getattr(module, 'Model', None)