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Since this class was added, it's missing a unit test. @dbort first noticed it, so adding one in this commit.

Differential Revision: [D34822911](https://our.internmc.facebook.com/intern/diff/D34822911/)

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facebook-github-bot commented Mar 11, 2022

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💊 CI failures summary and remediations

As of commit 5003172 (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 linux-xenial-py3.7-clang7-onnx / test (default, 2, 2, linux.2xlarge) (1/1)

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

2022-03-16T05:05:16.4595815Z AssertionError:
2022-03-16T05:05:16.4590733Z   File "/var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py", line 194, in run_model_test
2022-03-16T05:05:16.4591054Z     ort_compare_with_pytorch(ort_outs, output, rtol, atol)
2022-03-16T05:05:16.4591568Z   File "/var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py", line 137, in ort_compare_with_pytorch
2022-03-16T05:05:16.4592222Z     [np.testing.assert_allclose(out, ort_out, rtol=rtol, atol=atol) for out, ort_out in zip(outputs, ort_outs)]
2022-03-16T05:05:16.4592662Z   File "/var/lib/jenkins/workspace/test/onnx/test_pytorch_onnx_onnxruntime.py", line 137, in <listcomp>
2022-03-16T05:05:16.4593019Z     [np.testing.assert_allclose(out, ort_out, rtol=rtol, atol=atol) for out, ort_out in zip(outputs, ort_outs)]
2022-03-16T05:05:16.4593703Z   File "/opt/conda/lib/python3.7/site-packages/numpy/testing/_private/utils.py", line 1529, in assert_allclose
2022-03-16T05:05:16.4594276Z     verbose=verbose, header=header, equal_nan=equal_nan)
2022-03-16T05:05:16.4594964Z   File "/opt/conda/lib/python3.7/site-packages/numpy/testing/_private/utils.py", line 842, in assert_array_compare
2022-03-16T05:05:16.4595460Z     raise AssertionError(msg)
2022-03-16T05:05:16.4595815Z AssertionError: 
2022-03-16T05:05:16.4596262Z Not equal to tolerance rtol=0.001, atol=1e-07
2022-03-16T05:05:16.4596506Z 
2022-03-16T05:05:16.4596660Z Mismatched elements: 2 / 32 (6.25%)
2022-03-16T05:05:16.4596943Z Max absolute difference: 192
2022-03-16T05:05:16.4597139Z Max relative difference: 1.
2022-03-16T05:05:16.4597423Z  x: array([[  5,   0,   7,   0,   0,   5,   0,   7],
2022-03-16T05:05:16.4597602Z        [  0, 128,   0, 130,  36,   5, 102,   7],
2022-03-16T05:05:16.4597786Z        [121,   0, 123,   0,  20,   5,  54,   7],
2022-03-16T05:05:16.4598087Z        [  0, 128,   0, 130,   4,   5,   6,   7]], dtype=uint8)
2022-03-16T05:05:16.4598288Z  y: array([[  5,   0,   7,   0,   0,   5,   0,   7],

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Since this class was added, it's missing a unit test. dbort first noticed it, so adding one in this commit.

Differential Revision: [D34822911](https://our.internmc.facebook.com/intern/diff/D34822911/)

[ghstack-poisoned]
Since this class was added, it's missing a unit test. dbort first noticed it, so adding one in this commit.

Differential Revision: [D34822911](https://our.internmc.facebook.com/intern/diff/D34822911/)

[ghstack-poisoned]
dhruvbird added a commit that referenced this pull request Mar 11, 2022
Pull Request resolved: #74110

Since this class was added, it's missing a unit test. @dbort first noticed it, so adding one in this commit.
ghstack-source-id: 151157422

Differential Revision: [D34822911](https://our.internmc.facebook.com/intern/diff/D34822911/)
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For posterity, looks like this is a second take of reverted PR #74062

t.join();
}

iv.withLock([](int& iv) { EXPECT_EQ(iv, NUM_LOOP_INCREMENTS * 10); });
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Consider using threads.size() instead of 10

Since this class was added, it's missing a unit test. dbort first noticed it, so adding one in this commit.

Differential Revision: [D34822911](https://our.internmc.facebook.com/intern/diff/D34822911/)

[ghstack-poisoned]
dhruvbird added a commit that referenced this pull request Mar 16, 2022
Pull Request resolved: #74110

Since this class was added, it's missing a unit test. @dbort first noticed it, so adding one in this commit.
ghstack-source-id: 151471746

Differential Revision: [D34822911](https://our.internmc.facebook.com/intern/diff/D34822911/)
facebook-github-bot pushed a commit that referenced this pull request Mar 16, 2022
Summary:
Pull Request resolved: #74110

Since this class was added, it's missing a unit test. dbort first noticed it, so adding one in this commit.
ghstack-source-id: 151471746

Test Plan: `buck test //xplat/caffe2/c10:c10_test`

Reviewed By: dbort

Differential Revision: D34822911

fbshipit-source-id: 919a125081a2093d6f4e5a2cdb008145c05ec803
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Hey @dhruvbird.
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.

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