Ryan Guo 9f150786bb [dynamo] Fix numpy test accuracy error induced by randomness divergence (#145293) ... Previously `TestGradient.test_second_order_accurate` was failing because of a small tolerance error (0.03... which is above the 0.03 tolerance). Upon investigating, `np.random.random` caused some divergence between eager and compiled randomness because in compiled we are not using `np.random`'s random seed, rather we end up using `torch`'s. This in turn caused numerical divergence and aforementioned accuracy issue. This patch fixes the failure by patching the test case with `use_numpy_random_stream=True`, which forces a graph break on `np.random.random()` and thereby falling back to eager to ensure consistency of the numpy randomness. Fixes #116746. Pull Request resolved: https://github.com/pytorch/pytorch/pull/145293 Approved by: https://github.com/lezcano		2025-01-22 20:53:02 +00:00
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test_arraypad.py
test_arraysetops.py
test_function_base.py
test_histograms.py
test_index_tricks.py
test_shape_base_.py
test_twodim_base.py
test_type_check.py