[coor-slicing] _select_split_tensor#169551
[coor-slicing] _select_split_tensor#169551aorenste wants to merge 10 commits intogh/aorenste/158/basefrom
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/169551
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ghstack-source-id: 5a03dff Pull Request resolved: pytorch/pytorch#169551
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`Placement._split_tensor()` computes and returns too much information - in general most callers call it and then throw away most of the results. Added `Placement._select_split_tensor()` which allows the caller to say which parts they want so we can compute only those bits - in essence it is the combination of `Placement._split_tensor()` and `Shard._select_shard()`. [ghstack-poisoned]
`Placement._split_tensor()` computes and returns too much information - in general most callers call it and then throw away most of the results. Added `Placement._select_split_tensor()` which allows the caller to say which parts they want so we can compute only those bits - in essence it is the combination of `Placement._split_tensor()` and `Shard._select_shard()`. [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 |
`Placement._split_tensor()` computes and returns too much information - in general most callers call it and then throw away most of the results. Added `Placement._select_split_tensor()` which allows the caller to say which parts they want so we can compute only those bits - in essence it is the combination of `Placement._split_tensor()` and `Shard._select_shard()`. [ghstack-poisoned]
`Placement._split_tensor()` computes and returns too much information - in general most callers call it and then throw away most of the results. Added `Placement._select_split_tensor()` which allows the caller to say which parts they want so we can compute only those bits - in essence it is the combination of `Placement._split_tensor()` and `Shard._select_shard()`. [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 |
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@pytorchbot revert -m "seems to be breaking internal signals, see D90448078" -c ghfirst |
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@pytorchbot successfully started a revert job. Check the current status here. |
This reverts commit c6583cb. Reverted #169551 on behalf of https://github.com/jeanschmidt due to seems to be breaking internal signals, see D90448078 ([comment](#169551 (comment)))
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@aorenste your PR has been successfully reverted. |
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@pytorchbot merge -f "should not have reverted" |
Merge startedYour change will be merged immediately since you used the force (-f) flag, bypassing any CI checks (ETA: 1-5 minutes). Please use Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
`Placement._split_tensor()` computes and returns too much information - in general most callers call it and then throw away most of the results. Added `Placement._select_split_tensor()` which allows the caller to say which parts they want so we can compute only those bits - in essence it is the combination of `Placement._split_tensor()` and `Shard._select_shard()`. Pull Request resolved: pytorch#169551 Approved by: https://github.com/ezyang ghstack dependencies: pytorch#169549, pytorch#169550
This reverts commit c6583cb. Reverted pytorch#169551 on behalf of https://github.com/jeanschmidt due to seems to be breaking internal signals, see D90448078 ([comment](pytorch#169551 (comment)))
`Placement._split_tensor()` computes and returns too much information - in general most callers call it and then throw away most of the results. Added `Placement._select_split_tensor()` which allows the caller to say which parts they want so we can compute only those bits - in essence it is the combination of `Placement._split_tensor()` and `Shard._select_shard()`. Pull Request resolved: pytorch#169551 Approved by: https://github.com/ezyang ghstack dependencies: pytorch#169549, pytorch#169550
`Placement._split_tensor()` computes and returns too much information - in general most callers call it and then throw away most of the results. Added `Placement._select_split_tensor()` which allows the caller to say which parts they want so we can compute only those bits - in essence it is the combination of `Placement._split_tensor()` and `Shard._select_shard()`. Pull Request resolved: pytorch#169551 Approved by: https://github.com/ezyang ghstack dependencies: pytorch#169549, pytorch#169550
This reverts commit c6583cb. Reverted pytorch#169551 on behalf of https://github.com/jeanschmidt due to seems to be breaking internal signals, see D90448078 ([comment](pytorch#169551 (comment)))
`Placement._split_tensor()` computes and returns too much information - in general most callers call it and then throw away most of the results. Added `Placement._select_split_tensor()` which allows the caller to say which parts they want so we can compute only those bits - in essence it is the combination of `Placement._split_tensor()` and `Shard._select_shard()`. Pull Request resolved: pytorch#169551 Approved by: https://github.com/ezyang ghstack dependencies: pytorch#169549, pytorch#169550
ghstack-source-id: b1a095b Pull Request resolved: pytorch/pytorch#169551
Placement._split_tensor()computes and returns too much information - in general most callers call it and then throw away most of the results. AddedPlacement._select_split_tensor()which allows the caller to say which parts they want so we can compute only those bits - in essence it is the combination ofPlacement._split_tensor()andShard._select_shard().Stack from ghstack (oldest at bottom):