[MPS] Add slow version of kthvalue#161817
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/161817
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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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Which heavily borrows implementation logic from `topk` As this method is non-deterministic, modified the logic for cpu-ops indices comparison with just an equality statement, as by default random numbers picked for input tensor allow for quite a lot of overlaps Pull Request resolved: pytorch#161817 Approved by: https://github.com/dcci
Which heavily borrows implementation logic from `topk` As this method is non-deterministic, modified the logic for cpu-ops indices comparison with just an equality statement, as by default random numbers picked for input tensor allow for quite a lot of overlaps Pull Request resolved: pytorch#161817 Approved by: https://github.com/dcci
Stack from ghstack (oldest at bottom):
kthvalue#161817Which heavily borrows implementation logic from
topkAs this method is non-deterministic, modified the logic for cpu-ops indices comparison with just an equality statement, as by default random numbers picked for input tensor allow for quite a lot of overlaps