DISABLED test_addmm_cuda_float32 (__main__.TestLinalgCUDA) #156990
Description
Platforms: rocm
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 8 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_addmm_cuda_float32 - 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/pytorch/test/test_linalg.py", line 7204, in test_addmm
self._test_addmm_impl(torch.addmm, None, device, dtype)
File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 7161, in _test_addmm_impl
self._test_addmm_addmv(func, M, m1, m2, activation=activation)
File "/var/lib/jenkins/pytorch/test/test_linalg.py", line 7086, in _test_addmm_addmv
self.assertEqual(res1, res3)
File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4164, in assertEqual
raise error_metas.pop()[0].to_error( # type: ignore[index]
AssertionError: Tensor-likes are not close!
Mismatched elements: 243 / 250 (97.2%)
Greatest absolute difference: 0.016590118408203125 at index (9, 15) (up to 0.0001 allowed)
Greatest relative difference: 0.0268094465136528 at index (1, 21) (up to 1.3e-06 allowed)
To execute this test, run the following from the base repo dir:
PYTORCH_TEST_WITH_ROCM=1 python test/test_linalg.py TestLinalgCUDA.test_addmm_cuda_float32
This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
Test file path: test_linalg.py
For all disabled tests (by GitHub issue), see https://hud.pytorch.org/disabled.
cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd @clee2000 @jianyuh @nikitaved @mruberry @walterddr @xwang233 @lezcano