DISABLED test_memory_format_type_cuda (__main__.TestTorchDeviceTypeCUDA)

[pytorch-bot]

Platforms: inductor

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 2 workflow(s) with 2 failures and 2 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_memory_format_type_cuda
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 "test_torch.py", line 5482, in test_memory_format_type
    self._test_memory_format_transformations(
  File "test_torch.py", line 5415, in _test_memory_format_transformations
    self.assertFalse(clone.is_contiguous())
  File "test_torch.py", line 5416, in torch_dynamo_resume_in__test_memory_format_transformations_at_5415
    self.assertTrue(clone.is_contiguous(memory_format=memory_format))
  File "test_torch.py", line 5421, in torch_dynamo_resume_in__test_memory_format_transformations_at_5416
    self.assertEqual(xc, clone.to(xc))
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/testing/_internal/common_utils.py", line 3644, in assertEqual
    raise error_metas.pop()[0].to_error(
AssertionError: Tensor-likes are not close!

Mismatched elements: 0 / 768 (0.0%)
Greatest absolute difference: 0.0 at index (0, 0, 0, 0) (up to 1e-05 allowed)
Greatest relative difference: 0.0 at index (0, 0, 0, 0) (up to 1.3e-06 allowed)

To execute this test, run the following from the base repo dir:
    PYTORCH_TEST_WITH_ROCM=1 PYTORCH_TEST_WITH_INDUCTOR=1 python test/test_torch.py -k TestTorchDeviceTypeCUDA.test_memory_format_type_cuda

This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0

Test file path: test_torch.py

cc @mruberry @ZainRizvi @clee2000 @ezyang @msaroufim @bdhirsh @anijain2305 @chauhang @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @peterbell10 @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire

[pytorch-bot]

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_memory_format_type_cuda (__main__.TestTorchDeviceTypeCUDA)
• Platforms for which to skip the test: inductor
• Disabled by pytorch-bot[bot]

Within ~15 minutes, test_memory_format_type_cuda (__main__.TestTorchDeviceTypeCUDA) will be disabled in PyTorch CI for these platforms: inductor. 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.