[ATen] Add reduction tag to reduction operators#165146
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[ATen] Add reduction tag to reduction operators#165146eellison wants to merge 1 commit intogh/eellison/847/basefrom
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/165146
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Add a new 'reduction' tag to tags.yaml and apply it to 98 reduction
operator variants across 21 operator families (sum, mean, min, max,
argmin, argmax, amin, amax, aminmax, prod, all, any, norm, var, std,
std_mean, var_mean, nansum, logsumexp, count_nonzero, linalg_vector_norm).
This tag categorizes operators that perform reduction operations,
computing aggregate values across one or more dimensions of input
tensor(s).
Based on PR #153342
ghstack-source-id: 6c9c42f
Pull Request resolved: #165146
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Attention! native_functions.yaml was changedIf you are adding a new function or defaulted argument to native_functions.yaml, you cannot use it from pre-existing Python frontend code until our FC window passes (two weeks). Split your PR into two PRs, one which adds the new C++ functionality, and one that makes use of it from Python, and land them two weeks apart. See https://github.com/pytorch/pytorch/wiki/PyTorch's-Python-Frontend-Backward-and-Forward-Compatibility-Policy#forwards-compatibility-fc for more info. Caused by: |
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Stack from ghstack (oldest at bottom):
Add a new 'reduction' tag to tags.yaml and apply it to 98 reduction
operator variants across 21 operator families (sum, mean, min, max,
argmin, argmax, amin, amax, aminmax, prod, all, any, norm, var, std,
std_mean, var_mean, nansum, logsumexp, count_nonzero, linalg_vector_norm).
This tag categorizes operators that perform reduction operations,
computing aggregate values across one or more dimensions of input
tensor(s).
Based on PR #153342 - co-written with @AlonSardas.
Just as we have pointwise tag - this can be useful for compiler passes, or for opting into sharding rules.