{"action":"created","comment":{"url":"https://api.github.com/repos/pytorch/pytorch/pulls/comments/199326637","pull_request_review_id":133430401,"id":199326637,"node_id":"MDI0OlB1bGxSZXF1ZXN0UmV2aWV3Q29tbWVudDE5OTMyNjYzNw==","diff_hunk":"@@ -96,10 +83,18 @@ std::tuple<Tensor, Tensor> slogdet(const Tensor& self) {\n   return std::make_tuple(det.sign(), diag_U.abs_().log_().sum());\n }\n \n+Tensor pinverse(const Tensor& self) {\n+  AT_CHECK(at::isFloatingType(self.type().scalarType()) && self.dim() == 2,\n+           \"pinverse(\", self.type(), \"{\", self.sizes(), \"}): expected a 2D tensor \"\n+           \"of floating types\");\n+  Tensor U, S, V;\n+  std::tie(U, S, V) = self.svd();\n+  Tensor S_pseudoinv = at::where(S != 0.0, S.reciprocal(), at::zeros({}, self.options()));","path":"aten/src/ATen/native/LinearAlgebra.cpp","position":77,"original_position":77,"commit_id":"1bb5614079c6685ce13dae37ec065fbad362b246","original_commit_id":"1bb5614079c6685ce13dae37ec065fbad362b246","user":{"login":"SsnL","id":5674597,"node_id":"MDQ6VXNlcjU2NzQ1OTc=","avatar_url":"https://avatars2.githubusercontent.com/u/5674597?v=4","gravatar_id":"","url":"https://api.github.com/users/SsnL","html_url":"https://github.com/SsnL","followers_url":"https://api.github.com/users/SsnL/followers","following_url":"https://api.github.com/users/SsnL/following{/other_user}","gists_url":"https://api.github.com/users/SsnL/gists{/gist_id}","starred_url":"https://api.github.com/users/SsnL/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/SsnL/subscriptions","organizations_url":"https://api.github.com/users/SsnL/orgs","repos_url":"https://api.github.com/users/SsnL/repos","events_url":"https://api.github.com/users/SsnL/events{/privacy}","received_events_url":"https://api.github.com/users/SsnL/received_events","type":"User","site_admin":false},"body":"The MATLAB rule seems interesting too: https://www.mathworks.com/help/matlab/ref/pinv.html . 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Used SVD to compute.\r\n2. Tests in test_cuda and test_torch\r\n3. 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