Issue Station
Sign In
Tools hereToolbox

pytorch - 💡(How to fix) Fix DISABLED test_pickle_SparseCSC_cuda_float64 (__main__.TestSparseCompressedCUDA) [1 comments, 1 participants]

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…
GitHub stats
pytorch/pytorch#181682•Fetched 2026-04-28 06:23:53
View on GitHub
Comments
1
Participants
1
Timeline
41
Reactions
0
Author
pytorch-bot[bot]pytorch-bot[bot]
Participants
pytorch-bot[bot]pytorch-bot[bot]
Timeline (top)
mentioned ×18subscribed ×18labeled ×4commented ×1

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 3514, in wrapper method(*args, **kwargs) File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3514, in wrapper method(*args, **kwargs) File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3513, in wrapper with policy(): File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2887, in exit raise RuntimeError(msg) RuntimeError: CUDA driver API confirmed a leak in main.TestSparseCompressedCUDA.test_pickle_SparseCSC_cuda_float64! Caching allocator allocated memory was 0 and is now reported as 512 on device 0. CUDA driver allocated memory was 379781120 and is now 381878272.

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/test_sparse_csr.py TestSparseCompressedCUDA.test_pickle_SparseCSC_cuda_float64

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 3514, in wrapper
    method(*args, **kwargs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3514, in wrapper
    method(*args, **kwargs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3513, in wrapper
    with policy():
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2887, in __exit__
    raise RuntimeError(msg)
RuntimeError: CUDA driver API confirmed a leak in __main__.TestSparseCompressedCUDA.test_pickle_SparseCSC_cuda_float64! Caching allocator allocated memory was 0 and is now reported as 512 on device 0. CUDA driver allocated memory was 379781120 and is now 381878272.

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/test_sparse_csr.py TestSparseCompressedCUDA.test_pickle_SparseCSC_cuda_float64

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 4 workflow(s) with 4 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:

  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_pickle_SparseCSC_cuda_float64
  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 3514, in wrapper
    method(*args, **kwargs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3514, in wrapper
    method(*args, **kwargs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3513, in wrapper
    with policy():
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 2887, in __exit__
    raise RuntimeError(msg)
RuntimeError: CUDA driver API confirmed a leak in __main__.TestSparseCompressedCUDA.test_pickle_SparseCSC_cuda_float64! Caching allocator allocated memory was 0 and is now reported as 512 on device 0. CUDA driver allocated memory was 379781120 and is now 381878272.

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/test_sparse_csr.py TestSparseCompressedCUDA.test_pickle_SparseCSC_cuda_float64

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

Test file path: test_sparse_csr.py

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

cc @nikitaved @pearu @cpuhrsch @amjames @bhosmer @jcaip

extent analysis

TL;DR

The most likely fix involves addressing the CUDA memory leak in the test_pickle_SparseCSC_cuda_float64 test.

Guidance

  • Investigate the CUDA memory leak by analyzing the workflow logs and grep for test_pickle_SparseCSC_cuda_float64 to identify patterns or clues.
  • Run the test with the provided command PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=1 PYTORCH_TEST_WITH_SLOW_GRADCHECK=1 python test/test_sparse_csr.py TestSparseCompressedCUDA.test_pickle_SparseCSC_cuda_float64 to reproduce and debug the issue.
  • Review the test file test_sparse_csr.py and the TestSparseCompressedCUDA class to understand the test's functionality and potential sources of the memory leak.
  • Consider setting PYTORCH_PRINT_REPRO_ON_FAILURE=0 to suppress the error message and focus on debugging the underlying issue.

Notes

The provided information suggests a CUDA memory leak, but the root cause is unclear. Further investigation and debugging are necessary to determine the exact fix.

Recommendation

Apply workaround: temporarily disable the memory leak check or modify the test to avoid the leak while investigating the root cause, as the test is currently disabled due to flakiness.

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#serialization error#model compatibility#GPU setup#container setup

Still need to ship something?

×6

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

Back to top recommendations

TRENDING

pytorch - 💡(How to fix) Fix DISABLED test_pickle_SparseCSC_cuda_float64 (__main__.TestSparseCompressedCUDA) [1 comments, 1 participants]