Closed
Description
Platforms: linux
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 8 workflow(s) with 16 failures and 8 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:
- Click on the workflow logs linked above
- Click on the Test step of the job so that it is expanded. Otherwise, the grepping will not work.
- Grep for
test_parity__foreach_add_fastpath_inplace_cuda_int16 - 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 "/var/lib/jenkins/workspace/test/test_foreach.py", line 230, in test_parity
actual = func(
File "/var/lib/jenkins/workspace/test/test_foreach.py", line 93, in __call__
assert mta_called == (expect_fastpath and (not zero_size)), (
AssertionError: mta_called=False, expect_fastpath=True, zero_size=False, self.func.__name__='_foreach_add_', keys=('aten::_foreach_add_', 'Unrecognized', 'aten::result_type', 'cudaLaunchKernel', 'Lazy Function Loading', 'cudaDeviceSynchronize')
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1135, in test_wrapper
return test(*args, **kwargs)
File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/mock.py", line 1833, in _inner
return f(*args, **kw)
File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1975, in wrap_fn
return fn(self, *args, **kwargs)
File "/var/lib/jenkins/workspace/test/test_foreach.py", line 237, in test_parity
with self.assertRaises(type(e)):
File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 226, in __exit__
self._raiseFailure("{} not raised".format(exc_name))
File "/opt/conda/envs/py_3.10/lib/python3.10/unittest/case.py", line 163, in _raiseFailure
raise self.test_case.failureException(msg)
AssertionError: AssertionError not raised
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3154, in wrapper
method(*args, **kwargs)
File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3154, in wrapper
method(*args, **kwargs)
File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 426, in instantiated_test
result = test(self, **param_kwargs)
File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 1612, in wrapper
fn(*args, **kwargs)
File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/testing/_internal/common_device_type.py", line 1147, in test_wrapper
raise e_tracked from e
Exception: Caused by sample input at index 0: SampleInput(input=TensorList[Tensor[size=(20, 20), device="cuda:0", dtype=torch.int16], Tensor[size=(19, 19), device="cuda:0", dtype=torch.int16], Tensor[size=(18, 18), device="cuda:0", dtype=torch.int16], Tensor[size=(17, 17), device="cuda:0", dtype=torch.int16], Tensor[size=(16, 16), device="cuda:0", dtype=torch.int16], Tensor[size=(15, 15), device="cuda:0", dtype=torch.int16], Tensor[size=(14, 14), device="cuda:0", dtype=torch.int16], Tensor[size=(13, 13), device="cuda:0", dtype=torch.int16], Tensor[size=(12, 12), device="cuda:0", dtype=torch.int16], Tensor[size=(11, 11), device="cuda:0", dtype=torch.int16], Tensor[size=(10, 10), device="cuda:0", dtype=torch.int16], Tensor[size=(9, 9), device="cuda:0", dtype=torch.int16], Tensor[size=(8, 8), device="cuda:0", dtype=torch.int16], Tensor[size=(7, 7), device="cuda:0", dtype=torch.int16], Tensor[size=(6, 6), device="cuda:0", dtype=torch.int16], Tensor[size=(5, 5), device="cuda:0", dtype=torch.int16], Tensor[size=(4, 4), device="cuda:0", dtype=torch.int16], Tensor[size=(3, 3), device="cuda:0", dtype=torch.int16], Tensor[size=(2, 2), device="cuda:0", dtype=torch.int16], Tensor[size=(1, 1), device="cuda:0", dtype=torch.int16]], args=(TensorList[Tensor[size=(20, 20), device="cuda:0", dtype=torch.int16], Tensor[size=(19, 19), device="cuda:0", dtype=torch.int16], Tensor[size=(18, 18), device="cuda:0", dtype=torch.int16], Tensor[size=(17, 17), device="cuda:0", dtype=torch.int16], Tensor[size=(16, 16), device="cuda:0", dtype=torch.int16], Tensor[size=(15, 15), device="cuda:0", dtype=torch.int16], Tensor[size=(14, 14), device="cuda:0", dtype=torch.int16], Tensor[size=(13, 13), device="cuda:0", dtype=torch.int16], Tensor[size=(12, 12), device="cuda:0", dtype=torch.int16], Tensor[size=(11, 11), device="cuda:0", dtype=torch.int16], Tensor[size=(10, 10), device="cuda:0", dtype=torch.int16], Tensor[size=(9, 9), device="cuda:0", dtype=torch.int16], Tensor[size=(8, 8), device="cuda:0", dtype=torch.int16], Tensor[size=(7, 7), device="cuda:0", dtype=torch.int16], Tensor[size=(6, 6), device="cuda:0", dtype=torch.int16], Tensor[size=(5, 5), device="cuda:0", dtype=torch.int16], Tensor[size=(4, 4), device="cuda:0", dtype=torch.int16], Tensor[size=(3, 3), device="cuda:0", dtype=torch.int16], Tensor[size=(2, 2), device="cuda:0", dtype=torch.int16], Tensor[size=(1, 1), device="cuda:0", dtype=torch.int16]]), kwargs={'alpha': '3'}, broadcasts_input=False, name='')
To execute this test, run the following from the base repo dir:
PYTORCH_OPINFO_SAMPLE_INPUT_INDEX=0 python test/test_foreach.py TestForeachCUDA.test_parity__foreach_add_fastpath_inplace_cuda_int16
This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
Test file path: test_foreach.py