Closed pytorch-bot[bot] closed 6 days ago
Another case of trunk flakiness has been found here. The list of platforms [linux] appears to contain all the recently affected platforms [linux]. Either the change didn't propogate fast enough or disable bot might be broken.
Resolving the issue because the test is not flaky anymore after 2450 reruns without any failures and the issue hasn't been updated in 14 days. Please reopen the issue to re-disable the test if you think this is a false positive
Platforms: linux
This test was disabled because it is failing in CI. See recent examples and the most recent trunk workflow logs.
Over the past 3 hours, it has been determined flaky in 6 workflow(s) with 18 failures and 6 successes.
Debugging instructions (after clicking on the recent samples link): DO NOT ASSUME THINGS ARE OKAY IF THE CI IS GREEN. We now shield flaky tests from developers so CI will thus be green but it will be harder to parse the logs. To find relevant log snippets:
test_graph_grad_scaling_foreach_True_fused_False_SGD_cuda_float32
Sample error message
``` Traceback (most recent call last): File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1232, in not_close_error_metas pair.compare() File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py", line 711, in compare self._compare_values(actual, expected) File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py", line 841, in _compare_values compare_fn( File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1023, in _compare_regular_values_close if torch.all(matches): RuntimeError: Host and device pointer dont match with cudaHostRegister. Please dont use this feature by setting PYTORCH_CUDA_ALLOC_CONF=use_cuda_host_register:False (default) During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4783, in test_graph_grad_scaling self.assertEqual(weight.grad, torch.full_like(weight.grad, grad_val)) File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3850, in assertEqual error_metas = not_close_error_metas( File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1239, in not_close_error_metas f"Comparing\n\n" File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py", line 378, in __repr__ body = [ File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_comparison.py", line 379, inTest file path:
test_cuda.py
cc @ptrblck @msaroufim @clee2000