Closed
Description
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 4 workflow(s) with 12 failures and 4 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:
- Click on the workflow logs linked above
- Click on the Test step of the job so that it is expanded. Otherwise, the grepping will not work.
- Grep for
test_randint_randomness_for_large_range - There should be several instances run (as flaky tests are rerun in CI) from which you can study the logs.
Sample error message
Traceback (most recent call last):
File "/var/lib/jenkins/workspace/test/test_cuda.py", line 1027, in test_randint_randomness_for_large_range
assert abs(run(torch.device("cuda")) - run(torch.device("cpu"))) < 10_000
File "/var/lib/jenkins/workspace/test/test_cuda.py", line 1024, in run
return torch.stack([t1, t2]).unique().shape[0]
File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 991, in unique
return torch.unique(
File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_jit_internal.py", line 624, in fn
return if_false(*args, **kwargs)
File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_jit_internal.py", line 624, in fn
return if_false(*args, **kwargs)
File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py", line 1075, in _return_output
output, _, _ = _unique_impl(input, sorted, return_inverse, return_counts, dim)
File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/functional.py", line 968, in _unique_impl
output, inverse_indices, counts = torch._unique2(
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)
To execute this test, run the following from the base repo dir:
python test/test_cuda.py TestCuda.test_randint_randomness_for_large_range
This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
Test file path: test_cuda.py