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DISABLED test_graph_partition_reorder_cpu_and_gpu_interleave (__main__.CudaGraphTreeTests) #152561

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pytorch-bot bot opened this issue Apr 30, 2025 · 2 comments
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module: flaky-tests Problem is a flaky test in CI module: inductor module: rocm AMD GPU support for Pytorch oncall: pt2 skipped Denotes a (flaky) test currently skipped in CI. triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module

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@pytorch-bot
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pytorch-bot bot commented Apr 30, 2025

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 3 workflow(s) with 4 failures and 3 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_graph_partition_reorder_cpu_and_gpu_interleave
  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/pytorch/test/inductor/test_cudagraph_trees.py", line 3206, in test_graph_partition_reorder_cpu_and_gpu_interleave
    self.assertEqual(self.get_manager().new_graph_id().id, 1)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4095, in assertEqual
    raise error_metas.pop()[0].to_error(  # type: ignore[index]
AssertionError: Scalars are not equal!

Expected 1 but got 2.
Absolute difference: 1
Relative difference: 1.0

To execute this test, run the following from the base repo dir:
    PYTORCH_TEST_WITH_ROCM=1 python test/inductor/test_cudagraph_trees.py CudaGraphTreeTests.test_graph_partition_reorder_cpu_and_gpu_interleave

This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0

Test file path: inductor/test_cudagraph_trees.py

cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @naromero77amd @clee2000 @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov

@pytorch-bot pytorch-bot bot added module: flaky-tests Problem is a flaky test in CI module: inductor module: rocm AMD GPU support for Pytorch skipped Denotes a (flaky) test currently skipped in CI. triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module oncall: pt2 labels Apr 30, 2025
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pytorch-bot bot commented Apr 30, 2025

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_graph_partition_reorder_cpu_and_gpu_interleave (__main__.CudaGraphTreeTests)
  • Platforms for which to skip the test: rocm
  • Disabled by pytorch-bot[bot]

Within ~15 minutes, test_graph_partition_reorder_cpu_and_gpu_interleave (__main__.CudaGraphTreeTests) will be disabled in PyTorch CI for these platforms: rocm. 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 #152561 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.

@eellison
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eellison commented May 1, 2025

cc @BoyuanFeng

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Labels
module: flaky-tests Problem is a flaky test in CI module: inductor module: rocm AMD GPU support for Pytorch oncall: pt2 skipped Denotes a (flaky) test currently skipped in CI. triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module
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