[pytorch/pytorch] something regressed torchbench graph breaks

### ROOT CAUSE The regression in the torchbench graph likely stems from changes in PyTorch's JIT compiler or graph optimization rules, causing the graph to become invalid. This could be due to modifications in operator fusions, tracing behavior, or the JIT's graph generation process. ### CODE FIX Ensure the graph is properly recompiled by clearing the JIT cache before re-running the test. Add the following code snippet to the test or relevant script: ```python import torch torch._C._jit_clear_class_registry() torch._C._jit_reset_internal() ``` This clears the JIT's internal state, forcing a fresh graph compilation. Use it at the start of the test to avoid stale graph artifacts.