[pytorch/pytorch] inductor sam accuracy test very flaky

### ROOT CAUSE The flakiness is likely due to non-deterministic behavior from uninitialized CUDA devices or race conditions in the test setup. The test may be running on a GPU with inconsistent states between runs, causing accuracy variations. ### CODE FIX ```python # Before test execution import torch torch.use_deterministic_algorithms(True) torch.backends.cudnn.benchmark = False torch.backends.cudnn.deterministic = True # Ensure all GPUs are cleared for i in range(torch.cuda.device_count()): torch.cuda.set_device(i) torch.cuda.empty_cache() # Add explicit seed setting in the test torch.manual_seed(42) torch.cuda.manual_seed_all(42) ``` This ensures deterministic operations and clears GPU state before each test run.