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Implementation of Wishart distribution #68588
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CI Flow Status⚛️ CI FlowRuleset - Version:
You can add a comment to the PR and tag @pytorchbot with the following commands: # ciflow rerun, "ciflow/default" will always be added automatically
@pytorchbot ciflow rerun
# ciflow rerun with additional labels "-l <ciflow/label_name>", which is equivalent to adding these labels manually and trigger the rerun
@pytorchbot ciflow rerun -l ciflow/scheduled -l ciflow/slow For more information, please take a look at the CI Flow Wiki. |
🔗 Helpful links
💊 CI failures summary and remediationsAs of commit d08a1fa (more details on the Dr. CI page):
🕵️ 18 new failures recognized by patternsThe following CI failures do not appear to be due to upstream breakages: periodic-win-vs2019-cuda11.1-py3 / test (default, 1, 2, windows.8xlarge.nvidia.gpu) (1/18)Step: "Unknown" (full log | diagnosis details | 🔁 rerun)
|
Job | Step | Action |
---|---|---|
periodic-linux-bionic-cuda11.5-py3.6-gcc7 / test (default, 2, 2, linux.4xlarge.nvidia.gpu) | Unknown | 🔁 rerun |
macos-11-py3-x86-64 / build | Unknown | 🔁 rerun |
linux-bionic-cuda10.2-py3.9-gcc7 / test (slow, 1, 1, linux.4xlarge.nvidia.gpu) | Unknown | 🔁 rerun |
macos-10-15-py3-arm64 / build | Unknown | 🔁 rerun |
periodic-linux-bionic-cuda11.5-py3.6-gcc7 / test (default, 1, 2, linux.4xlarge.nvidia.gpu) | Unknown | 🔁 rerun |
linux-bionic-cuda10.2-py3.9-gcc7 / test (multigpu, 1, 1, linux.16xlarge.nvidia.gpu) | Unknown | 🔁 rerun |
linux-bionic-cuda10.2-py3.9-gcc7 / test (default, 2, 2, linux.4xlarge.nvidia.gpu) | Unknown | 🔁 rerun |
linux-bionic-cuda10.2-py3.9-gcc7 / test (default, 1, 2, linux.4xlarge.nvidia.gpu) | Unknown | 🔁 rerun |
periodic-linux-xenial-cuda10.2-py3-gcc7-slow-gradcheck / test (default, 1, 2, linux.4xlarge.nvidia.gpu) | Unknown | 🔁 rerun |
❄️ 1 failure tentatively classified as flaky
but reruns have not yet been triggered to confirm:
periodic-linux-xenial-cuda10.2-py3-gcc7-slow-gradcheck / test (default, 2, 2, linux.4xlarge.nvidia.gpu) (1/1)
Step: "Unknown" (full log | diagnosis details | 🔁 rerun) ❄️
2021-12-24T01:22:49.0857291Z ConnectionResetError: [Errno 104] Connection reset by peer
2021-12-24T01:22:49.0848104Z File "/opt/conda/lib/python3.6/multiprocessing/connection.py", line 455, in accept
2021-12-24T01:22:49.0849099Z deliver_challenge(c, self._authkey)
2021-12-24T01:22:49.0850086Z File "/opt/conda/lib/python3.6/multiprocessing/connection.py", line 722, in deliver_challenge
2021-12-24T01:22:49.0851292Z response = connection.recv_bytes(256) # reject large message
2021-12-24T01:22:49.0852209Z File "/opt/conda/lib/python3.6/multiprocessing/connection.py", line 216, in recv_bytes
2021-12-24T01:22:49.0853206Z buf = self._recv_bytes(maxlength)
2021-12-24T01:22:49.0853993Z File "/opt/conda/lib/python3.6/multiprocessing/connection.py", line 407, in _recv_bytes
2021-12-24T01:22:49.0854915Z buf = self._recv(4)
2021-12-24T01:22:49.0855620Z File "/opt/conda/lib/python3.6/multiprocessing/connection.py", line 379, in _recv
2021-12-24T01:22:49.0856576Z chunk = read(handle, remaining)
2021-12-24T01:22:49.0857291Z ConnectionResetError: [Errno 104] Connection reset by peer
2021-12-24T01:22:54.1845269Z /opt/conda/lib/python3.6/multiprocessing/semaphore_tracker.py:143: UserWarning: semaphore_tracker: There appear to be 14 leaked semaphores to clean up at shutdown
2021-12-24T01:22:54.1846341Z len(cache))
2021-12-24T01:22:57.8440000Z Process ErrorTrackingProcess-88:
2021-12-24T01:22:57.8440816Z Traceback (most recent call last):
2021-12-24T01:22:57.8441584Z File "/opt/conda/lib/python3.6/multiprocessing/process.py", line 258, in _bootstrap
2021-12-24T01:22:57.8442608Z self.run()
2021-12-24T01:22:57.8443697Z File "/var/lib/jenkins/workspace/test/test_dataloader.py", line 406, in run
2021-12-24T01:22:57.8444514Z super(ErrorTrackingProcess, self).run()
2021-12-24T01:22:57.8445347Z File "/opt/conda/lib/python3.6/multiprocessing/process.py", line 93, in run
2021-12-24T01:22:57.8446076Z self._target(*self._args, **self._kwargs)
🚧 5 fixed upstream failures:
These were probably caused by upstream breakages that were already fixed.
Please rebase on the viable/strict
branch (expand for instructions)
If your commit is older than viable/strict
, run these commands:
git fetch https://github.com/pytorch/pytorch viable/strict
git rebase FETCH_HEAD
- linux-docs / build-docs (cpp) on Dec 18 from 12:00am to 11:42pm (94abf12 - b331752)
- win-vs2019-cuda11.3-py3 / test (default, 2, 2, windows.8xlarge.nvidia.gpu) on Dec 18 from 12:00am to 5:54pm (94abf12 - 94abf12)
- linux-xenial-py3.6-clang7-asan / test (default, 1, 3, linux.2xlarge) from Dec 17 until Dec 18 (6a97d0b - 5db711f)
- periodic-win-vs2019-cuda11.5-py3 / test (default, 2, 2, windows.8xlarge.nvidia.gpu) on Dec 18 from 12:00am to 5:54pm (94abf12 - 94abf12)
- linux-docs-push / build-docs (cpp) on Dec 18 from 12:00am to 11:42pm (94abf12 - b331752)
This comment was automatically generated by Dr. CI (expand for details).
Please report bugs/suggestions to the (internal) Dr. CI Users group.
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Thanks for contributing this really useful distribution!
@neerajprad has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator. |
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I didn't notice that you merged your df changes in this PR, just had some small comments regarding that. We should also add a float df value to the unit tests.
Thank you for your feedback. I will add unit test for float |
@neerajprad has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator. |
This pull request has been reverted by 6217fee. To re-land this change, follow these steps. |
@nonconvexopt - Could you reopen the original PR? This was reverted by mistake due to an unrelated reason. |
Sure, I will reopen it. *EDIT: |
@neerajprad May I open a new PR with same branch? |
That's fine, we can open a new one instead. |
Thanks for letting me know. I will open a new one. |
Summary: Implement #68050 Reopened merged and reverted PR #68588 worked with neerajprad cc neerajprad Sorry for the confusion. TODO: - [x] Unit Test - [x] Documentation - [x] Change constraint of matrix variables with 'torch.distributions.constraints.symmetric' if it is reviewed and merged. Debug positive definite constraints #68720 Pull Request resolved: #70377 Reviewed By: mikaylagawarecki Differential Revision: D33355132 Pulled By: neerajprad fbshipit-source-id: e968c0d9a3061fb2855564b96074235e46a57b6c
Summary: Implement #68050 Reopened merged and reverted PR #68588 worked with neerajprad cc neerajprad Sorry for the confusion. TODO: - [x] Unit Test - [x] Documentation - [x] Change constraint of matrix variables with 'torch.distributions.constraints.symmetric' if it is reviewed and merged. Debug positive definite constraints #68720 Pull Request resolved: #70377 Reviewed By: mikaylagawarecki Differential Revision: D33355132 Pulled By: neerajprad fbshipit-source-id: e968c0d9a3061fb2855564b96074235e46a57b6c
This pull request has been reverted by 6217fee. To re-land this change, follow these steps. |
Fixes #68050
TODO: