Mark buffers that reuse other buffers #93329
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Provides a way at codegen time to emit code conditioned on having a fresh allocation vs reusing an input. - For collective ops, if reusing an input, a copy can be skipped [ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/93329
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Provides a way at codegen time to emit code conditioned on having a fresh allocation vs reusing an input. - For collective ops, if reusing an input, a copy can be skipped ghstack-source-id: 128472a1accb748df9abf7c2bd0cef6afa6557a7 Pull Request resolved: #93329
Provides a way at codegen time to emit code conditioned on having a fresh allocation vs reusing an input. - For collective ops, if reusing an input, a copy can be skipped cc mlazos soumith voznesenskym yanboliang penguinwu anijain2305 EikanWang jgong5 Guobing-Chen chunyuan-w XiaobingSuper zhuhaozhe blzheng Xia-Weiwen wenzhe-nrv jiayisunx peterbell10 desertfire [ghstack-poisoned]
wconstab
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Provides a way at codegen time to emit code conditioned on having a fresh allocation vs reusing an input. - For collective ops, if reusing an input, a copy can be skipped ghstack-source-id: 5348c69491488a6fb152237e0206e722ab64db66 Pull Request resolved: #93329
Provides a way at codegen time to emit code conditioned on having a fresh allocation vs reusing an input. - For collective ops, if reusing an input, a copy can be skipped cc mlazos soumith voznesenskym yanboliang penguinwu anijain2305 EikanWang jgong5 Guobing-Chen chunyuan-w XiaobingSuper zhuhaozhe blzheng Xia-Weiwen wenzhe-nrv jiayisunx peterbell10 desertfire [ghstack-poisoned]
wconstab
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Feb 1, 2023
Provides a way at codegen time to emit code conditioned on having a fresh allocation vs reusing an input. - For collective ops, if reusing an input, a copy can be skipped ghstack-source-id: 788ad2630ff33168fb68c7fe9d90a582b6d31872 Pull Request resolved: #93329
Provides a way at codegen time to emit code conditioned on having a fresh allocation vs reusing an input. - For collective ops, if reusing an input, a copy can be skipped cc mlazos soumith voznesenskym yanboliang penguinwu anijain2305 EikanWang jgong5 Guobing-Chen chunyuan-w XiaobingSuper zhuhaozhe blzheng Xia-Weiwen wenzhe-nrv jiayisunx peterbell10 desertfire [ghstack-poisoned]
wconstab
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Provides a way at codegen time to emit code conditioned on having a fresh allocation vs reusing an input. - For collective ops, if reusing an input, a copy can be skipped ghstack-source-id: 3659a00e79db0bdf94aec717b1660c094aa4c87e Pull Request resolved: #93329
jansel
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Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
Provides a way at codegen time to emit code conditioned on having a fresh allocation vs reusing an input. - For collective ops, if reusing an input, a copy can be skipped cc mlazos soumith voznesenskym yanboliang penguinwu anijain2305 EikanWang jgong5 Guobing-Chen chunyuan-w XiaobingSuper zhuhaozhe blzheng Xia-Weiwen wenzhe-nrv jiayisunx peterbell10 desertfire [ghstack-poisoned]
wconstab
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Provides a way at codegen time to emit code conditioned on having a fresh allocation vs reusing an input. - For collective ops, if reusing an input, a copy can be skipped ghstack-source-id: c1977c5b258d54fb29ffd00399e42db3fa2dc914 Pull Request resolved: #93329
Merge failedReason: New commits were pushed while merging. Please rerun the merge command. Details for Dev Infra teamRaised by workflow job |
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Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
Merge failedReason: 1 mandatory check(s) failed (Rule Dig deeper by viewing the failures on hud Details for Dev Infra teamRaised by workflow job |
Provides a way at codegen time to emit code conditioned on having a fresh allocation vs reusing an input. - For collective ops, if reusing an input, a copy can be skipped cc mlazos soumith voznesenskym yanboliang penguinwu anijain2305 EikanWang jgong5 Guobing-Chen chunyuan-w XiaobingSuper zhuhaozhe blzheng Xia-Weiwen wenzhe-nrv jiayisunx peterbell10 desertfire [ghstack-poisoned]
wconstab
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Feb 1, 2023
Provides a way at codegen time to emit code conditioned on having a fresh allocation vs reusing an input. - For collective ops, if reusing an input, a copy can be skipped ghstack-source-id: d379e2c200a7fbd523115355a5ba2c2fee24b0d1 Pull Request resolved: #93329
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@pytorchbot merge |
Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
Merge failedReason: 1 mandatory check(s) failed (Rule Dig deeper by viewing the failures on hud Details for Dev Infra teamRaised by workflow job |
Provides a way at codegen time to emit code conditioned on having a fresh allocation vs reusing an input. - For collective ops, if reusing an input, a copy can be skipped cc mlazos soumith voznesenskym yanboliang penguinwu anijain2305 EikanWang jgong5 Guobing-Chen chunyuan-w XiaobingSuper zhuhaozhe blzheng Xia-Weiwen wenzhe-nrv jiayisunx peterbell10 desertfire [ghstack-poisoned]
This was referenced Feb 2, 2023
Provides a way at codegen time to emit code conditioned on having a fresh allocation vs reusing an input. - For collective ops, if reusing an input, a copy can be skipped cc mlazos soumith voznesenskym yanboliang penguinwu anijain2305 EikanWang jgong5 Guobing-Chen chunyuan-w XiaobingSuper zhuhaozhe blzheng Xia-Weiwen wenzhe-nrv jiayisunx peterbell10 desertfire [ghstack-poisoned]
Provides a way at codegen time to emit code conditioned on having a fresh allocation vs reusing an input. - For collective ops, if reusing an input, a copy can be skipped cc mlazos soumith voznesenskym yanboliang penguinwu anijain2305 EikanWang jgong5 Guobing-Chen chunyuan-w XiaobingSuper zhuhaozhe blzheng Xia-Weiwen wenzhe-nrv jiayisunx peterbell10 desertfire [ghstack-poisoned]
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@pytorchbot merge |
Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
ragulpr
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Feb 2, 2023
…n-dev-setup * origin: (898 commits) Move dynamo.optimizations.distributed to backends (pytorch#93408) Remove cuda 11.6 from nightly (pytorch#93979) Refactor dynamo register_backend/BACKENDS (pytorch#93389) Remove cuda 11.6 from CI replace with 11.7 (pytorch#93406) [Dynamo] Rename `GuardBuilder.guarded_code` -> `check_fn_manager` (pytorch#93934) Revert "Remove CUDA 11.6 from nightly builds (pytorch#93404)" Revert "[inductor] fix crash issue when input is a view tensor (pytorch#90150)" Basic Validation for FSDP `state_dict` transformations of modules with persistent buffers (pytorch#93396) Merge Inductor perf smoke test with other inductor CI tests (pytorch#93395) [inductor] Don't import torchvision (pytorch#93027) [FSDP][3/N] Refactor `summon_full_params` unit tests (pytorch#92298) [FSDP][2/N] `_summon_full_params` -> `_unshard_params` (pytorch#92297) Remove CUDA 11.6 from nightly builds (pytorch#93404) Mark buffers that reuse other buffers (pytorch#93329) Refactor to allow reuse of SchedulerNode.allocate (pytorch#93328) retire sparse_mask_helper (pytorch#91714) update fbgemm third party (pytorch#93907) [inductor] fix crash issue when input is a view tensor (pytorch#90150) [Inductor] add config for weight prepacking (pytorch#93811) Check for none for NNModuleVariable.__module__ (pytorch#93326) ...
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Stack from ghstack (oldest at bottom):
Provides a way at codegen time to emit code conditioned on
having a fresh allocation vs reusing an input.
cc @mlazos @soumith @voznesenskym @yanboliang @penguinwu @anijain2305 @EikanWang @jgong5 @Guobing-Chen @chunyuan-w @XiaobingSuper @zhuhaozhe @blzheng @Xia-Weiwen @wenzhe-nrv @jiayisunx @peterbell10 @desertfire