Move non-dimension reduction var/std to native wrappers.#9400
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gchanan wants to merge 1 commit intopytorch:masterfrom
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Move non-dimension reduction var/std to native wrappers.#9400gchanan wants to merge 1 commit intopytorch:masterfrom
gchanan wants to merge 1 commit intopytorch:masterfrom
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This is to unify the handling of empty tensors in std/var between the dimension reduce and all reduce cases. Also to avoid triggering ubsan errors around divide by 0.
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ezyang
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Jul 13, 2018
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Are there some UBSAN exclusions we get to remove now?
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zdevito
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Summary: This is to unify the handling of empty tensors in std/var between the dimension reduce and all reduce cases. Also to avoid triggering ubsan errors around divide by 0. Pull Request resolved: pytorch/pytorch#9400 Reviewed By: ezyang Differential Revision: D8828879 Pulled By: gchanan fbshipit-source-id: 6b9306805c94251eec28bd12e234618338bff4e3
zdevito
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Jul 13, 2018
Summary: This is to unify the handling of empty tensors in std/var between the dimension reduce and all reduce cases. Also to avoid triggering ubsan errors around divide by 0. Pull Request resolved: pytorch/pytorch#9400 Reviewed By: ezyang Differential Revision: D8828879 Pulled By: gchanan fbshipit-source-id: 6b9306805c94251eec28bd12e234618338bff4e3
goodlux
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Aug 15, 2018
Summary: This is to unify the handling of empty tensors in std/var between the dimension reduce and all reduce cases. Also to avoid triggering ubsan errors around divide by 0. Pull Request resolved: pytorch#9400 Reviewed By: ezyang Differential Revision: D8828879 Pulled By: gchanan fbshipit-source-id: 6b9306805c94251eec28bd12e234618338bff4e3
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This is to unify the handling of empty tensors in std/var between the dimension reduce and all reduce cases.
Also to avoid triggering ubsan errors around divide by 0.