DISABLED test_conv_empty_input_cpu_bfloat16 (__main__.TestNNDeviceTypeCPU)

[pytorch-bot]

Platforms: dynamo

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 5 workflow(s) with 15 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_conv_empty_input_cpu_bfloat16
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 "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/module.py", line 818, in _apply
    torch.utils.swap_tensors(param, param_applied)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/utils/__init__.py", line 36, in swap_tensors
    raise RuntimeError("Cannot swap t1 because it has weakref associated with it")
RuntimeError: Cannot swap t1 because it has weakref associated with it

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "test_nn.py", line 8190, in test_conv_empty_input
    help(input2d, conv2d, torch.channels_last)
  File "test_nn.py", line 8178, in help
    conv_cl = conv.to(memory_format=memory_format)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1173, in to
    return self._apply(convert)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/nn/modules/module.py", line 822, in _apply
    raise RuntimeError(f"_apply(): Couldn't swap {self._get_name()}.{key}") from e
RuntimeError: _apply(): Couldn't swap Conv2d.weight

To execute this test, run the following from the base repo dir:
    PYTORCH_TEST_WITH_DYNAMO=1 python test/test_nn.py -k TestNNDeviceTypeCPU.test_conv_empty_input_cpu_bfloat16

This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0

Test file path: test_nn.py

cc @albanD @mruberry @jbschlosser @walterddr @mikaylagawarecki @clee2000 @ezyang @msaroufim @bdhirsh @anijain2305 @chauhang

[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_conv_empty_input_cpu_bfloat16 (__main__.TestNNDeviceTypeCPU)
• Platforms for which to skip the test: dynamo
• Disabled by pytorch-bot[bot]

Within ~15 minutes, test_conv_empty_input_cpu_bfloat16 (__main__.TestNNDeviceTypeCPU) will be disabled in PyTorch CI for these platforms: dynamo. 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.

[xmfan]

looks like same as #126178