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DISABLED test_assigning_back_deleter_fns_to_tensor (__main__.TestBlockStateAbsorption) #134810

Open pytorch-bot[bot] opened 3 weeks ago

pytorch-bot[bot] commented 3 weeks ago

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 30 workflow(s) with 90 failures and 30 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:

  1. Click on the workflow logs linked above
  2. Click on the Test step of the job so that it is expanded. Otherwise, the grepping will not work.
  3. Grep for test_assigning_back_deleter_fns_to_tensor
  4. 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 4670, in test_assigning_back_deleter_fns_to_tensor graph, outputs = cudagraphify(foo, [inp]) File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4430, in cudagraphify fn(*inputs) File "/var/lib/jenkins/workspace/test/test_cuda.py", line 4666, in foo int8_cuda(LARGE_BUFFER) + x, torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 160.00 MiB. GPU 0 has a total capacity of 21.98 GiB of which 20.85 GiB is free. Process 474015 has 248.00 MiB memory in use. Process 474226 has 248.00 MiB memory in use. Process 474587 has 248.00 MiB memory in use. Process 474603 has 380.00 MiB memory in use. 120.00 MiB allowed; Of the allocated memory 52.00 MiB is allocated by PyTorch, and 6.00 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) To execute this test, run the following from the base repo dir: python test/test_cuda.py TestBlockStateAbsorption.test_assigning_back_deleter_fns_to_tensor This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 ```

Test file path: test_cuda.py

cc @ptrblck @msaroufim @clee2000

pytorch-bot[bot] commented 3 weeks ago
Hello there! From the DISABLED prefix in this issue title, it looks like you are attempting to disable a test in PyTorch CI. The information I have parsed is below: * Test name: `test_assigning_back_deleter_fns_to_tensor (__main__.TestBlockStateAbsorption)` * Platforms for which to skip the test: linux * Disabled by `pytorch-bot[bot]` Within ~15 minutes, `test_assigning_back_deleter_fns_to_tensor (__main__.TestBlockStateAbsorption)` will be disabled in PyTorch CI for these platforms: linux. Please verify that your test name looks correct, e.g., `test_cuda_assert_async (__main__.TestCuda)`. To modify the platforms list, please include a line in the issue body, like below. The default action will disable the test for all platforms if no platforms list is specified. ``` Platforms: case-insensitive, list, of, platforms ``` We currently support the following platforms: asan, dynamo, inductor, linux, mac, macos, rocm, slow, win, windows. ### How to re-enable a test To re-enable the test globally, close the issue. To re-enable a test for only a subset of platforms, remove the platforms from the list in the issue body. This may take some time to propagate. To re-enable a test only for a PR, put `Fixes #134810` in the PR body and rerun the test jobs. Note that if a test is flaky, it maybe be difficult to tell if the test is still flaky on the PR.
pytorch-bot[bot] commented 3 weeks 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.

pytorch-bot[bot] commented 3 weeks 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.