[pytorch/pytorch] inductor sam accuracy test very flaky

### ROOT CAUSE The flakiness in the inductor SAM accuracy test is likely due to floating-point numerical inaccuracies or non-determinism in the test environment. These issues can arise from variations in computational precision or race conditions in parallel execution. ### CODE FIX Modify the test to use tolerance-based comparisons (e.g., `torch.allclose`) and seed the random number generator to ensure reproducibility. Here's a template for the changes: ```python import torch import random # Seed for reproducibility seed = 42 torch.manual_seed(seed) random.seed(seed) # Update the test assertion to use torch.allclose def test_inductor_sam_accuracy(): # ... existing test code ... assert torch.allclose(output, expected, rtol=1e-5, atol=1e-5) # ... rest of the test ... ``` This ensures consistent results by controlling randomness and allows small numerical differences during floating-point operations.