Repository: pytorch
Issue: DISABLED test_embedding_dynamic_shapes_cpu (__main__.DynamicShapesCpuTests)
Labels: triaged,module: flaky-tests,skipped,oncall: pt2,module: inductor

Platforms: linux

This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_embedding_dynamic_shapes_cpu&suite=DynamicShapesCpuTests&limit=100) and the most recent trunk [workflow logs](https://github.com/pytorch/pytorch/runs/29728676549).

Over the past 3 hours, it has been determined flaky in 6 workflow(s) with 6 failures and 6 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_embedding_dynamic_shapes_cpu`
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 "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 4857, in test_embedding
    self.common(
  File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 430, in check_model
    actual = run(*example_inputs, **kwargs)
  File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/eval_frame.py", line 465, in _fn
    return fn(*args, **kwargs)
  File "/var/lib/jenkins/workspace/test/inductor/test_torchinductor.py", line 424, in run
    def run(*ex, **kwargs):
  File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/eval_frame.py", line 632, in _fn
    return fn(*args, **kwargs)
  File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/aot_autograd.py", line 1100, in forward
    return compiled_fn(full_args)
  File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 308, in runtime_wrapper
    all_outs = call_func_at_runtime_with_args(
  File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/_aot_autograd/utils.py", line 124, in call_func_at_runtime_with_args
    out = normalize_as_list(f(args))
  File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/_aot_autograd/utils.py", line 98, in g
    return f(*args)
  File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/function.py", line 575, in apply
    return super().apply(*args, **kwargs)  # type: ignore[misc]
RuntimeError: std::bad_alloc

To execute this test, run the following from the base repo dir:
    python test/inductor/test_torchinductor_dynamic_shapes.py DynamicShapesCpuTests.test_embedding_dynamic_shapes_cpu

This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
```

</details>


Test file path: `inductor/test_torchinductor_dynamic_shapes.py`

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