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@iseeyuan iseeyuan commented May 6, 2021

Stack from ghstack (oldest at bottom):

The minimum supported bytecode version is updated from 3 to 4. We no longer support version 3 bytecode models.

Why?

  • There are hacky codes in operator loading, that performs differently on one operator on the global bytecode version 3. Instead operator related metadata should be passed (for example, in [PyTorch Mobile][Forward/backward compatibility] Number of arguments for operators #56845). To allow future development, we remove the hacky way first.
  • The bytecode version was bumped from 3 to 4 more than half a year ago. Since all the production models are all bumped to version 4, it's not practical to keep and maintain version 3. The risk to deprecate version 3 is low.

Differential Revision: D28270791

[ghstack-poisoned]
@facebook-github-bot facebook-github-bot added oncall: jit Add this issue/PR to JIT oncall triage queue cla signed labels May 6, 2021
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facebook-github-bot commented May 6, 2021

🔗 Helpful links

💊 CI failures summary and remediations

As of commit 6b18b2d (more details on the Dr. CI page):


  • 3/3 failures introduced in this PR

🕵️ 3 new failures recognized by patterns

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

See GitHub Actions build pull / linux-xenial-py3.7-clang7-asan / test (default, 2, 3, linux.2xlarge) (1/3)

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

2022-04-06T21:19:53.8268382Z SUMMARY: Undefined.../jenkins/workspace/aten/src/ATen/Utils.cpp:20:3 in
2022-04-06T21:19:53.7760638Z     #10 0x55c70ff97c81 in run_mod /home/builder/tkoch/workspace/python_1648536129212/work/Python/pythonrun.c:1037
2022-04-06T21:19:53.7761318Z     #11 0x55c70ffa2c69 in PyRun_StringFlags /home/builder/tkoch/workspace/python_1648536129212/work/Python/pythonrun.c:961
2022-04-06T21:19:53.7762262Z     #12 0x55c70ffa2ccb in PyRun_SimpleStringFlags /home/builder/tkoch/workspace/python_1648536129212/work/Python/pythonrun.c:455
2022-04-06T21:19:53.7763796Z     #13 0x55c70ffa2dc8 in pymain_run_command /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:420
2022-04-06T21:19:53.7764468Z     #14 0x55c70ffa2dc8 in pymain_run_python /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:2907
2022-04-06T21:19:53.7764916Z     #15 0x55c70ffa2dc8 in pymain_main /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:3460
2022-04-06T21:19:53.7765805Z     #16 0x55c70ffa318b in _Py_UnixMain /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:3495
2022-04-06T21:19:53.8267092Z     #17 0x7ff528cf983f in __libc_start_main /build/glibc-S7Ft5T/glibc-2.23/csu/../csu/libc-start.c:291
2022-04-06T21:19:53.8267655Z     #18 0x55c70ff48039 in _start (/opt/conda/bin/python3.7+0x1d8039)
2022-04-06T21:19:53.8267883Z 
2022-04-06T21:19:53.8268382Z SUMMARY: UndefinedBehaviorSanitizer: undefined-behavior /var/lib/jenkins/workspace/aten/src/ATen/Utils.cpp:20:3 in 
2022-04-06T21:19:53.8450630Z + retcode=1
2022-04-06T21:19:53.8451128Z + set -e
2022-04-06T21:19:53.8451422Z + return 1
2022-04-06T21:19:53.8453605Z + [[ linux-xenial-py3.7-clang7-asan-default == *-NO_AVX-* ]]
2022-04-06T21:19:53.8454018Z + [[ default == \n\o\g\p\u\_\N\O\_\A\V\X ]]
2022-04-06T21:19:53.8454366Z + [[ linux-xenial-py3.7-clang7-asan-default == *-NO_AVX2-* ]]
2022-04-06T21:19:53.8454648Z + [[ default == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]]
2022-04-06T21:19:53.8454993Z + [[ linux-xenial-py3.7-clang7-asan-default == *-NO_AVX512-* ]]
2022-04-06T21:19:53.8455292Z + [[ default == \n\o\g\p\u\_\N\O\_\A\V\X\5\1\2 ]]
2022-04-06T21:19:53.8457546Z + [[ linux-xenial-py3.7-clang7-asan-default == *tbb* ]]

See GitHub Actions build pull / linux-bionic-rocm5.0-py3.7 / test (default, 2, 2, linux.rocm.gpu) (2/3)

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

2022-04-07T06:15:48.1936850Z FAIL [4.556s]: test_fft_plan_repeatable_cuda (__main__.TestFFTCUDA)
2022-04-07T06:15:47.8313575Z   test_reference_nd_fft_rfftn_cuda_float64 (__main__.TestFFTCUDA) ... skip: test doesn't currently work on the ROCm stack (0.003s)
2022-04-07T06:15:47.9587627Z   test_stft_cuda_float64 (__main__.TestFFTCUDA) ... /opt/conda/lib/python3.7/site-packages/torch/functional.py:727: UserWarning: stft will soon require the return_complex parameter be given for real inputs, and will further require that return_complex=True in a future PyTorch release. (Triggered internally at  /var/lib/jenkins/workspace/aten/src/ATen/native/SpectralOps.cpp:795.)
2022-04-07T06:15:47.9590375Z   normalized, onesided, return_complex)
2022-04-07T06:15:47.9764078Z ok (0.145s)
2022-04-07T06:15:47.9797942Z   test_stft_requires_complex_cuda (__main__.TestFFTCUDA) ... ok (0.003s)
2022-04-07T06:15:48.0713814Z   test_stft_roundtrip_complex_window_cuda_complex128 (__main__.TestFFTCUDA) ... ok (0.091s)
2022-04-07T06:15:48.1776362Z   test_stft_roundtrip_complex_window_cuda_float64 (__main__.TestFFTCUDA) ... ok (0.106s)
2022-04-07T06:15:48.1932973Z   test_stft_window_device_cuda (__main__.TestFFTCUDA) ... ok (0.016s)
2022-04-07T06:15:48.1933745Z 
2022-04-07T06:15:48.1935915Z ======================================================================
2022-04-07T06:15:48.1936850Z FAIL [4.556s]: test_fft_plan_repeatable_cuda (__main__.TestFFTCUDA)
2022-04-07T06:15:48.1938318Z ----------------------------------------------------------------------
2022-04-07T06:15:48.1939284Z Traceback (most recent call last):
2022-04-07T06:15:48.1940711Z   File "/opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py", line 1780, in wrapper
2022-04-07T06:15:48.1941747Z     method(*args, **kwargs)
2022-04-07T06:15:48.1943264Z   File "/opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_device_type.py", line 376, in instantiated_test
2022-04-07T06:15:48.1944357Z     result = test(self, **param_kwargs)
2022-04-07T06:15:48.1945844Z   File "/opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_device_type.py", line 973, in only_fn
2022-04-07T06:15:48.1946939Z     return fn(self, *args, **kwargs)
2022-04-07T06:15:48.1948424Z   File "/opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_device_type.py", line 815, in dep_fn
2022-04-07T06:15:48.1949470Z     return fn(slf, *args, **kwargs)

See GitHub Actions build pull / win-vs2019-cuda11.3-py3 / test (force_on_cpu, 1, 1, windows.4xlarge) (3/3)

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

2022-04-06T22:13:33.2691225Z C:\actions-runner\...65ca25adcd3.sh: line 2: python3: command not found
2022-04-06T22:13:33.2096390Z   BRANCH: 
2022-04-06T22:13:33.2096624Z   JOB_BASE_NAME: win-vs2019-cuda11.3-py3-test
2022-04-06T22:13:33.2096874Z   BUILD_ENVIRONMENT: win-vs2019-cuda11.3-py3
2022-04-06T22:13:33.2097066Z   PR_NUMBER: 57775
2022-04-06T22:13:33.2097264Z   SHA1: 6b18b2dc45983a049e3686a0d0233768e4b1b7e4
2022-04-06T22:13:33.2097448Z   TAG: 
2022-04-06T22:13:33.2097588Z   WORKFLOW_ID: 2105058717
2022-04-06T22:13:33.2098219Z   GITHUB_TOKEN: ***
2022-04-06T22:13:33.2098389Z ##[endgroup]
2022-04-06T22:13:33.2609418Z + python3 -m pip install -r requirements.txt
2022-04-06T22:13:33.2691225Z C:\actions-runner\_work\_temp\ecb87313-ac9c-47b2-aa88-165ca25adcd3.sh: line 2: python3: command not found
2022-04-06T22:13:33.2713572Z ##[error]Process completed with exit code 127.
2022-04-06T22:13:33.2915546Z Prepare all required actions
2022-04-06T22:13:33.3008225Z ##[group]Run ./.github/actions/teardown-win
2022-04-06T22:13:33.3008421Z with:
2022-04-06T22:13:33.3008546Z env:
2022-04-06T22:13:33.3008686Z   IN_CI: 1
2022-04-06T22:13:33.3008833Z   IS_GHA: 1
2022-04-06T22:13:33.3008989Z   GIT_DEFAULT_BRANCH: master
2022-04-06T22:13:33.3009573Z ##[endgroup]
2022-04-06T22:13:33.3170525Z ##[group]Run .github\scripts\wait_for_ssh_to_drain.ps1

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Why?
* There are hacky codes in operator loading, that performs differently on one operator on the global bytecode version 3. Instead operator related metadata should be passed (for example, in #56845). To allow future development, we remove the hacky way first. 
* The bytecode version was bumped from 3 to 4 more than half a year ago. Since all the production models are all bumped to version 4, it's not practical to keep and maintain version 3. The risk to deprecate version 3 is low. 



[ghstack-poisoned]
The minimum supported bytecode version is updated from 3 to 4. We no longer support version 3 bytecode models.

Why?
* There are hacky codes in operator loading, that performs differently on one operator on the global bytecode version 3. Instead operator related metadata should be passed (for example, in #56845). To allow future development, we remove the hacky way first. 
* The bytecode version was bumped from 3 to 4 more than half a year ago. Since all the production models are all bumped to version 4, it's not practical to keep and maintain version 3. The risk to deprecate version 3 is low. 



[ghstack-poisoned]
iseeyuan added a commit that referenced this pull request May 6, 2021
ghstack-source-id: f0d1c17
Pull Request resolved: #57775
@iseeyuan
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iseeyuan commented May 6, 2021

@iseeyuan has imported this pull request. If you are a Facebook employee, you can view this diff on Phabricator.

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Thanks.
Minor comment on whether to define a constant for the default version.

// introduced. The old models (some of them already in production) without
// version number don't have to be re-generated.
// version number are seen as version 3 (deprecated).
int64_t model_version = 0x3L;
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I'd suggest making it a constant itself (e.g. default legacy version or something like that).
Is this the only place that will use this constant?
Otherwise maybe move it to caffe2/serialize/versions.h ?

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Good catch. I'll add const here. It's the only place that it's used.

The minimum supported bytecode version is updated from 3 to 4. We no longer support version 3 bytecode models.

Why?
* There are hacky codes in operator loading, that performs differently on one operator on the global bytecode version 3. Instead operator related metadata should be passed (for example, in #56845). To allow future development, we remove the hacky way first. 
* The bytecode version was bumped from 3 to 4 more than half a year ago. Since all the production models are all bumped to version 4, it's not practical to keep and maintain version 3. The risk to deprecate version 3 is low.

Differential Revision: [D28270791](https://our.internmc.facebook.com/intern/diff/D28270791)

[ghstack-poisoned]
iseeyuan added a commit that referenced this pull request May 7, 2021
ghstack-source-id: 9db4a60
Pull Request resolved: #57775
@iseeyuan
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iseeyuan commented May 7, 2021

@iseeyuan has imported this pull request. If you are a Facebook employee, you can view this diff on Phabricator.

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github-actions bot commented Jul 6, 2021

Looks like this PR hasn't been updated in a while so we're going to go ahead and mark this as Stale.
Feel free to remove the Stale label if you feel this was a mistake.
Stale pull requests will automatically be closed 30 days after being marked Stale

@github-actions github-actions bot added the Stale label Jul 6, 2021
The minimum supported bytecode version is updated from 3 to 4. We no longer support version 3 bytecode models.

Why?
* There are hacky codes in operator loading, that performs differently on one operator on the global bytecode version 3. Instead operator related metadata should be passed (for example, in #56845). To allow future development, we remove the hacky way first. 
* The bytecode version was bumped from 3 to 4 more than half a year ago. Since all the production models are all bumped to version 4, it's not practical to keep and maintain version 3. The risk to deprecate version 3 is low.

Differential Revision: [D28270791](https://our.internmc.facebook.com/intern/diff/D28270791)

[ghstack-poisoned]
iseeyuan added a commit that referenced this pull request Sep 17, 2021
ghstack-source-id: 5ca8595
Pull Request resolved: #57775
The minimum supported bytecode version is updated from 3 to 4. We no longer support version 3 bytecode models.

Why?
* There are hacky codes in operator loading, that performs differently on one operator on the global bytecode version 3. Instead operator related metadata should be passed (for example, in #56845). To allow future development, we remove the hacky way first. 
* The bytecode version was bumped from 3 to 4 more than half a year ago. Since all the production models are all bumped to version 4, it's not practical to keep and maintain version 3. The risk to deprecate version 3 is low.

Differential Revision: [D28270791](https://our.internmc.facebook.com/intern/diff/D28270791)

[ghstack-poisoned]
cccclai pushed a commit that referenced this pull request Mar 29, 2022
Pull Request resolved: #57775


The minimum supported bytecode version is updated from 3 to 4. We no longer support version 3 bytecode models.

Why?
* There are hacky codes in operator loading, that performs differently on one operator on the global bytecode version 3. Instead operator related metadata should be passed (for example, in #56845). To allow future development, we remove the hacky way first.
* The bytecode version was bumped from 3 to 4 more than half a year ago. Since all the production models are all bumped to version 4, it's not practical to keep and maintain version 3. The risk to deprecate version 3 is low.

Differential Revision: [D28270791](https://our.internmc.facebook.com/intern/diff/D28270791/)
ghstack-source-id: 152531463
The minimum supported bytecode version is updated from 3 to 4. We no longer support version 3 bytecode models.

Why?
* There are hacky codes in operator loading, that performs differently on one operator on the global bytecode version 3. Instead operator related metadata should be passed (for example, in #56845). To allow future development, we remove the hacky way first. 
* The bytecode version was bumped from 3 to 4 more than half a year ago. Since all the production models are all bumped to version 4, it's not practical to keep and maintain version 3. The risk to deprecate version 3 is low.

Differential Revision: [D28270791](https://our.internmc.facebook.com/intern/diff/D28270791)

[ghstack-poisoned]
cccclai pushed a commit that referenced this pull request Apr 1, 2022
Pull Request resolved: #57775


The minimum supported bytecode version is updated from 3 to 4. We no longer support version 3 bytecode models.

Why?
* There are hacky codes in operator loading, that performs differently on one operator on the global bytecode version 3. Instead operator related metadata should be passed (for example, in #56845). To allow future development, we remove the hacky way first.
* The bytecode version was bumped from 3 to 4 more than half a year ago. Since all the production models are all bumped to version 4, it's not practical to keep and maintain version 3. The risk to deprecate version 3 is low.

Differential Revision: [D28270791](https://our.internmc.facebook.com/intern/diff/D28270791/)
ghstack-source-id: 152759282
The minimum supported bytecode version is updated from 3 to 4. We no longer support version 3 bytecode models.

Why?
* There are hacky codes in operator loading, that performs differently on one operator on the global bytecode version 3. Instead operator related metadata should be passed (for example, in #56845). To allow future development, we remove the hacky way first. 
* The bytecode version was bumped from 3 to 4 more than half a year ago. Since all the production models are all bumped to version 4, it's not practical to keep and maintain version 3. The risk to deprecate version 3 is low.

Differential Revision: [D28270791](https://our.internmc.facebook.com/intern/diff/D28270791)

[ghstack-poisoned]
cccclai pushed a commit that referenced this pull request Apr 1, 2022
Pull Request resolved: #57775


The minimum supported bytecode version is updated from 3 to 4. We no longer support version 3 bytecode models.

Why?
* There are hacky codes in operator loading, that performs differently on one operator on the global bytecode version 3. Instead operator related metadata should be passed (for example, in #56845). To allow future development, we remove the hacky way first.
* The bytecode version was bumped from 3 to 4 more than half a year ago. Since all the production models are all bumped to version 4, it's not practical to keep and maintain version 3. The risk to deprecate version 3 is low.

Differential Revision: [D28270791](https://our.internmc.facebook.com/intern/diff/D28270791/)
ghstack-source-id: 152823050
The minimum supported bytecode version is updated from 3 to 4. We no longer support version 3 bytecode models.

Why?
* There are hacky codes in operator loading, that performs differently on one operator on the global bytecode version 3. Instead operator related metadata should be passed (for example, in #56845). To allow future development, we remove the hacky way first. 
* The bytecode version was bumped from 3 to 4 more than half a year ago. Since all the production models are all bumped to version 4, it's not practical to keep and maintain version 3. The risk to deprecate version 3 is low.

Differential Revision: [D28270791](https://our.internmc.facebook.com/intern/diff/D28270791)

[ghstack-poisoned]
cccclai pushed a commit that referenced this pull request Apr 4, 2022
Pull Request resolved: #57775


The minimum supported bytecode version is updated from 3 to 4. We no longer support version 3 bytecode models.

Why?
* There are hacky codes in operator loading, that performs differently on one operator on the global bytecode version 3. Instead operator related metadata should be passed (for example, in #56845). To allow future development, we remove the hacky way first.
* The bytecode version was bumped from 3 to 4 more than half a year ago. Since all the production models are all bumped to version 4, it's not practical to keep and maintain version 3. The risk to deprecate version 3 is low.

Differential Revision: [D28270791](https://our.internmc.facebook.com/intern/diff/D28270791/)
ghstack-source-id: 152951819
The minimum supported bytecode version is updated from 3 to 4. We no longer support version 3 bytecode models.

Why?
* There are hacky codes in operator loading, that performs differently on one operator on the global bytecode version 3. Instead operator related metadata should be passed (for example, in #56845). To allow future development, we remove the hacky way first. 
* The bytecode version was bumped from 3 to 4 more than half a year ago. Since all the production models are all bumped to version 4, it's not practical to keep and maintain version 3. The risk to deprecate version 3 is low.

Differential Revision: [D28270791](https://our.internmc.facebook.com/intern/diff/D28270791)

[ghstack-poisoned]
The minimum supported bytecode version is updated from 3 to 4. We no longer support version 3 bytecode models.

Why?
* There are hacky codes in operator loading, that performs differently on one operator on the global bytecode version 3. Instead operator related metadata should be passed (for example, in #56845). To allow future development, we remove the hacky way first. 
* The bytecode version was bumped from 3 to 4 more than half a year ago. Since all the production models are all bumped to version 4, it's not practical to keep and maintain version 3. The risk to deprecate version 3 is low.

Differential Revision: [D28270791](https://our.internmc.facebook.com/intern/diff/D28270791)

[ghstack-poisoned]
cccclai pushed a commit that referenced this pull request Apr 6, 2022
Pull Request resolved: #57775


The minimum supported bytecode version is updated from 3 to 4. We no longer support version 3 bytecode models.

Why?
* There are hacky codes in operator loading, that performs differently on one operator on the global bytecode version 3. Instead operator related metadata should be passed (for example, in #56845). To allow future development, we remove the hacky way first.
* The bytecode version was bumped from 3 to 4 more than half a year ago. Since all the production models are all bumped to version 4, it's not practical to keep and maintain version 3. The risk to deprecate version 3 is low.

Differential Revision: [D28270791](https://our.internmc.facebook.com/intern/diff/D28270791/)
ghstack-source-id: 153137729
The minimum supported bytecode version is updated from 3 to 4. We no longer support version 3 bytecode models.

Why?
* There are hacky codes in operator loading, that performs differently on one operator on the global bytecode version 3. Instead operator related metadata should be passed (for example, in #56845). To allow future development, we remove the hacky way first. 
* The bytecode version was bumped from 3 to 4 more than half a year ago. Since all the production models are all bumped to version 4, it's not practical to keep and maintain version 3. The risk to deprecate version 3 is low.

Differential Revision: [D28270791](https://our.internmc.facebook.com/intern/diff/D28270791)

[ghstack-poisoned]
The minimum supported bytecode version is updated from 3 to 4. We no longer support version 3 bytecode models.

Why?
* There are hacky codes in operator loading, that performs differently on one operator on the global bytecode version 3. Instead operator related metadata should be passed (for example, in #56845). To allow future development, we remove the hacky way first. 
* The bytecode version was bumped from 3 to 4 more than half a year ago. Since all the production models are all bumped to version 4, it's not practical to keep and maintain version 3. The risk to deprecate version 3 is low.

Differential Revision: [D28270791](https://our.internmc.facebook.com/intern/diff/D28270791)

[ghstack-poisoned]
The minimum supported bytecode version is updated from 3 to 4. We no longer support version 3 bytecode models.

Why?
* There are hacky codes in operator loading, that performs differently on one operator on the global bytecode version 3. Instead operator related metadata should be passed (for example, in #56845). To allow future development, we remove the hacky way first. 
* The bytecode version was bumped from 3 to 4 more than half a year ago. Since all the production models are all bumped to version 4, it's not practical to keep and maintain version 3. The risk to deprecate version 3 is low.

Differential Revision: [D28270791](https://our.internmc.facebook.com/intern/diff/D28270791)

[ghstack-poisoned]
cccclai pushed a commit that referenced this pull request Apr 6, 2022
Pull Request resolved: #57775


The minimum supported bytecode version is updated from 3 to 4. We no longer support version 3 bytecode models.

Why?
* There are hacky codes in operator loading, that performs differently on one operator on the global bytecode version 3. Instead operator related metadata should be passed (for example, in #56845). To allow future development, we remove the hacky way first.
* The bytecode version was bumped from 3 to 4 more than half a year ago. Since all the production models are all bumped to version 4, it's not practical to keep and maintain version 3. The risk to deprecate version 3 is low.

Differential Revision: [D28270791](https://our.internmc.facebook.com/intern/diff/D28270791/)
ghstack-source-id: 153227131
facebook-github-bot pushed a commit that referenced this pull request Apr 7, 2022
Summary:
Pull Request resolved: #57775

The minimum supported bytecode version is updated from 3 to 4. We no longer support version 3 bytecode models.

Why?
* There are hacky codes in operator loading, that performs differently on one operator on the global bytecode version 3. Instead operator related metadata should be passed (for example, in #56845). To allow future development, we remove the hacky way first.
* The bytecode version was bumped from 3 to 4 more than half a year ago. Since all the production models are all bumped to version 4, it's not practical to keep and maintain version 3. The risk to deprecate version 3 is low.

Test Plan: Imported from OSS

Reviewed By: raziel

Differential Revision: D28270791

Pulled By: cccclai

fbshipit-source-id: 70b1bd6352fdaae5f8d2173b81578d77018c8e44
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github-actions bot commented Apr 7, 2022

Hey @iseeyuan.
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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