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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 8 workflow(s) with 16 failures and 8 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_deferred_runtime_asserts
- 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/dynamo/test_repros.py", line 4231, in test_deferred_runtime_asserts
f(torch.tensor([3]))
File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 749, in compile_wrapper
raise e.remove_dynamo_frames() from None # see TORCHDYNAMO_VERBOSE=1
File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/scheduler.py", line 4062, in create_backend
raise GPUTooOldForTriton(device_props, inspect.currentframe())
torch._inductor.exc.GPUTooOldForTriton: Found Tesla M60 which is too old to be supported by the triton GPU compiler, which is used as the backend. Triton only supports devices of CUDA Capability >= 7.0, but your device is of CUDA capability 5.2
Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo"
To execute this test, run the following from the base repo dir:
python test/dynamo/test_repros.py ReproTests.test_deferred_runtime_asserts
This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
Test file path: dynamo/test_repros.py
For all disabled tests (by GitHub issue), see https://hud.pytorch.org/disabled.
cc @clee2000 @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames