Issue Station
Sign In
Tools hereToolbox

pytorch - 💡(How to fix) Fix DISABLED test_cudagraph_indexing_ops_index_put_cuda_float32 (__main__.TestCudagraphIndexingOpsCUDA)

Official PRs (…)
ON THIS PAGE

Recommended Tools

×6

Utilities matched from this issue’s tags and category — try them while you read without losing context.

GitHub issue graph ai analysis

Paste a GitHub issue URL. We fetch that issue, discover linked issues from bodies/comments/timeline, collect linked pull requests, and produce a structured English report.

The report is written in English Markdown for sharing and archival.

Helpful · Quick feedback

Loading…

Error Message

Traceback (most recent call last): File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3444, in wrapper method(*args, **kwargs) File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3444, in wrapper method(*args, **kwargs) File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3443, in wrapper with policy(): File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2820, in exit raise RuntimeError(msg) RuntimeError: CUDA driver API confirmed a leak in main.TestCudagraphIndexingOpsCUDA.test_cudagraph_indexing_ops_index_put_cuda_float32! Caching allocator allocated memory was 2048 and is now reported as 4096 on device 0. CUDA driver allocated memory was 373489664 and is now 375586816.

To execute this test, run the following from the base repo dir: PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/inductor/test_cudagraph_trees.py TestCudagraphIndexingOpsCUDA.test_cudagraph_indexing_ops_index_put_cuda_float32

This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0

Root Cause

This test was disabled because it is failing in CI. See recent examples and the most recent trunk workflow logs.

Code Example

Traceback (most recent call last):
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3444, in wrapper
    method(*args, **kwargs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3444, in wrapper
    method(*args, **kwargs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3443, in wrapper
    with policy():
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2820, in __exit__
    raise RuntimeError(msg)
RuntimeError: CUDA driver API confirmed a leak in __main__.TestCudagraphIndexingOpsCUDA.test_cudagraph_indexing_ops_index_put_cuda_float32! Caching allocator allocated memory was 2048 and is now reported as 4096 on device 0. CUDA driver allocated memory was 373489664 and is now 375586816.

To execute this test, run the following from the base repo dir:
    PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/inductor/test_cudagraph_trees.py TestCudagraphIndexingOpsCUDA.test_cudagraph_indexing_ops_index_put_cuda_float32

This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
RAW_BUFFERClick to expand / collapse

Platforms: linux, slow

This test was disabled because it is failing in CI. See recent examples and the most recent trunk workflow logs.

Over the past 6 hours, it has been determined flaky in 5 workflow(s) with 5 failures and 5 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_cudagraph_indexing_ops_index_put_cuda_float32
  4. There should be several instances run (as flaky tests are rerun in CI) from which you can study the logs.
<details><summary>Sample error message</summary> 
Traceback (most recent call last):
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3444, in wrapper
    method(*args, **kwargs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3444, in wrapper
    method(*args, **kwargs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3443, in wrapper
    with policy():
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2820, in __exit__
    raise RuntimeError(msg)
RuntimeError: CUDA driver API confirmed a leak in __main__.TestCudagraphIndexingOpsCUDA.test_cudagraph_indexing_ops_index_put_cuda_float32! Caching allocator allocated memory was 2048 and is now reported as 4096 on device 0. CUDA driver allocated memory was 373489664 and is now 375586816.

To execute this test, run the following from the base repo dir:
    PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/inductor/test_cudagraph_trees.py TestCudagraphIndexingOpsCUDA.test_cudagraph_indexing_ops_index_put_cuda_float32

This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
</details>

Test file path: inductor/test_cudagraph_trees.py

For all disabled tests (by GitHub issue), see https://hud.pytorch.org/disabled.

cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @kadeng @muchulee8 @amjames @chauhang @aakhundov @coconutruben @jataylo

extent analysis

TL;DR

The most likely fix involves addressing the CUDA memory leak in the test_cudagraph_indexing_ops_index_put_cuda_float32 test.

Guidance

  • Investigate the CUDA memory allocation and deallocation in the test_cudagraph_indexing_ops_index_put_cuda_float32 test to identify the source of the leak.
  • Run the test with the PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 and PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 environment variables to enable memory leak checking and slow gradient checking.
  • Review the test file inductor/test_cudagraph_trees.py and the error message to understand the memory allocation patterns and identify potential issues.
  • Consider using tools like CUDA's memory debugging tools to help identify the source of the memory leak.

Example

No code snippet is provided as the issue does not contain sufficient information to create a specific example.

Notes

The issue is specific to the test_cudagraph_indexing_ops_index_put_cuda_float32 test and may not be related to other tests or parts of the codebase. The error message suggests a CUDA memory leak, but the root cause is unclear.

Recommendation

Apply a workaround by re-enabling the test and running it with the suggested environment variables to gather more information about the memory leak. This will allow for further investigation and debugging of the issue.

Vote matrix · Quick signals

Works
Did the solution work? Tap to confirm.
Easy Fix
Was it a quick fix?
Time Saver
Did it save you time?
Blocking
Was it severely blocking?
Common Issue
Are others likely hitting this too?
Flaky / Intermittent
Is it intermittent?
Verified / Reproducible
Can you reproduce it reliably?
Loading…
#api#ssr#installation#API versioning#request timeout

Still need to ship something?

×6

Another batch ranked right after the header list — different links, same matching logic.

Back to top recommendations

TRENDING