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Fixes #73129.

The warning is not actionable and seems to be potentially false alarming.

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facebook-github-bot commented Feb 23, 2022

🔗 Helpful links

💊 CI failures summary and remediations

As of commit 2be2a5a (more details on the Dr. CI page):


  • 1/1 failures introduced in this PR

🕵️ 1 new failure recognized by patterns

The following CI failures do not appear to be due to upstream breakages:

See GitHub Actions build pytorch-xla-linux-bionic-py3.7-clang8 / test (xla, 1, 1, linux.2xlarge) (1/1)

Step: "Test" (full log | diagnosis details | 🔁 rerun)

2022-03-03T23:42:11.2100894Z RuntimeError: tens...OK() (UNKNOWN: Could not start gRPC server vs. OK)
2022-03-03T23:42:11.2093916Z   File "/opt/conda/lib/python3.7/site-packages/torch_xla-1.11-py3.7-linux-x86_64.egg/torch_xla/distributed/xla_multiprocessing.py", line 314, in _setup_replication
2022-03-03T23:42:11.2094629Z     device = xm.xla_device()
2022-03-03T23:42:11.2095299Z   File "/opt/conda/lib/python3.7/site-packages/torch_xla-1.11-py3.7-linux-x86_64.egg/torch_xla/core/xla_model.py", line 232, in xla_device
2022-03-03T23:42:11.2095695Z     devkind=devkind if devkind is not None else None)
2022-03-03T23:42:11.2096148Z   File "/opt/conda/lib/python3.7/site-packages/torch_xla-1.11-py3.7-linux-x86_64.egg/torch_xla/core/xla_model.py", line 137, in get_xla_supported_devices
2022-03-03T23:42:11.2098320Z     xla_devices = _DEVICES.value
2022-03-03T23:42:11.2099112Z   File "/opt/conda/lib/python3.7/site-packages/torch_xla-1.11-py3.7-linux-x86_64.egg/torch_xla/utils/utils.py", line 32, in value
2022-03-03T23:42:11.2099650Z     self._value = self._gen_fn()
2022-03-03T23:42:11.2100090Z   File "/opt/conda/lib/python3.7/site-packages/torch_xla-1.11-py3.7-linux-x86_64.egg/torch_xla/core/xla_model.py", line 19, in <lambda>
2022-03-03T23:42:11.2100449Z     _DEVICES = xu.LazyProperty(lambda: torch_xla._XLAC._xla_get_devices())
2022-03-03T23:42:11.2100894Z RuntimeError: tensorflow/compiler/xla/xla_client/xrt_local_service.cc:56 : Check failed: tensorflow::NewServer(server_def, &server_) == ::tensorflow::Status::OK() (UNKNOWN: Could not start gRPC server vs. OK)
2022-03-03T23:42:11.3947494Z Traceback (most recent call last):
2022-03-03T23:42:11.3948120Z   File "/var/lib/jenkins/workspace/xla/test/test_mp_replication.py", line 30, in <module>
2022-03-03T23:42:11.3948552Z     xmp.spawn(_mp_fn, args=())
2022-03-03T23:42:11.3949132Z   File "/opt/conda/lib/python3.7/site-packages/torch_xla-1.11-py3.7-linux-x86_64.egg/torch_xla/distributed/xla_multiprocessing.py", line 394, in spawn
2022-03-03T23:42:11.3949460Z     start_method=start_method)
2022-03-03T23:42:11.3949822Z   File "/opt/conda/lib/python3.7/site-packages/torch/multiprocessing/spawn.py", line 198, in start_processes
2022-03-03T23:42:11.3950104Z     while not context.join():
2022-03-03T23:42:11.3950471Z   File "/opt/conda/lib/python3.7/site-packages/torch/multiprocessing/spawn.py", line 154, in join
2022-03-03T23:42:11.3950718Z     exit_code=exitcode
2022-03-03T23:42:11.3951029Z torch.multiprocessing.spawn.ProcessExitedException: process 2 terminated with exit code 17

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@shubhambhokare1 frankly I don't recall why this warning was there. Please remind me if there was a real issue that it was guarding against.

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onnx failure should be resolved by #73282 with 1.10 ort.

@shubhambhokare1 shubhambhokare1 self-assigned this Feb 24, 2022
@BowenBao BowenBao force-pushed the onnx_reshape_redundant_warning branch from 599635d to 435bc50 Compare February 24, 2022 20:17
@ngimel ngimel added the triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module label Mar 1, 2022
@BowenBao BowenBao force-pushed the onnx_reshape_redundant_warning branch from 435bc50 to 2be2a5a Compare March 3, 2022 22:49
@BowenBao BowenBao requested a review from shubhambhokare1 March 3, 2022 22:52
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LGTM

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cc @garymm for merge approval

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@pytorchbot merge this

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pytorch-bot bot commented Mar 14, 2022

+1

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Hey @BowenBao.
You've committed this PR, but it does not have both a 'release notes: ...' and 'topics: ...' label. Please add one of each to the PR. The 'release notes: ...' label should represent the part of PyTorch that this PR changes (fx, autograd, distributed, etc) and the 'topics: ...' label should represent the kind of PR it is (not user facing, new feature, bug fix, perf improvement, etc). The list of valid labels can be found here for the 'release notes: ...' and here for the 'topics: ...'.
For changes that are 'topic: not user facing' there is no need for a release notes label.

@BowenBao BowenBao added release notes: onnx torch.onnx related changes that should show up in the release notes topic: improvements topic category labels Mar 14, 2022
facebook-github-bot pushed a commit that referenced this pull request Mar 15, 2022
Summary:
Fixes #73129.

The warning is not actionable and seems to be potentially false alarming.

Pull Request resolved: #73265
Approved by: https://github.com/shubhambhokare1, https://github.com/garymm

Test Plan: contbuild & OSS CI, see https://hud.pytorch.org/commit/pytorch/pytorch/57c7bf7feecc480355bb70631342ef6d68db43e8

Reviewed By: malfet

Differential Revision: D34883073

fbshipit-source-id: 82f1eac99ad269282c526bed928bca60d407326d
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I get an error when exporting to onnx but cannot find what it means

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