[dtensor] make replicate -> partial do division instead #110898
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This PR switches the replicate -> partial to do division instead of zeroing out other ranks, it preserve same numerics, but avoid the per-rank behavior difference, and friendly to torch compile [ghstack-poisoned]
wanchaol
requested review from
mrshenli,
zhaojuanmao,
rohan-varma,
H-Huang,
awgu,
kwen2501,
fegin,
fduwjj,
wz337,
kiukchung and
d4l3k
as code owners
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/110898
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 75a68e2 with merge base 201d02e ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
wanchaol
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Oct 9, 2023
This PR switches the replicate -> partial to do division instead of zeroing out other ranks, it preserve same numerics, but avoid the per-rank behavior difference, and friendly to torch compile ghstack-source-id: d2ae8a10843e79a3cbebf1c1b34aba7a7a3027b3 Pull Request resolved: #110898
This PR switches the replicate -> partial to do division instead of zeroing out other ranks, it preserve same numerics, but avoid the per-rank behavior difference, and friendly to torch compile [ghstack-poisoned]
fduwjj
approved these changes
Oct 10, 2023
pytorchmergebot
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Oct 11, 2023
make random ops be a set instead of list Pull Request resolved: #110900 Approved by: https://github.com/fduwjj ghstack dependencies: #110898
pytorchmergebot
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Oct 12, 2023
) as titled Pull Request resolved: #111091 Approved by: https://github.com/awgu, https://github.com/wz337 ghstack dependencies: #110898, #110900
isdanni
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that referenced
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Oct 13, 2023
…rch#111091) as titled Pull Request resolved: pytorch#111091 Approved by: https://github.com/awgu, https://github.com/wz337 ghstack dependencies: pytorch#110898, pytorch#110900
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Stack from ghstack (oldest at bottom):
This PR switches the replicate -> partial to do division instead of
zeroing out other ranks, it preserve same numerics, but avoid the
per-rank behavior difference, and friendly to torch compile