{"action":"created","comment":{"url":"https://api.github.com/repos/pytorch/pytorch/pulls/comments/196491911","pull_request_review_id":130054530,"id":196491911,"node_id":"MDI0OlB1bGxSZXF1ZXN0UmV2aWV3Q29tbWVudDE5NjQ5MTkxMQ==","diff_hunk":"@@ -0,0 +1,122 @@\n+#ifndef THC_GENERIC_FILE\n+#define THC_GENERIC_FILE \"generic/THCTensorKthValue.cu\"\n+#else\n+\n+THC_API void THCTensor_(kthvalue)(THCState* state,\n+                                  THCTensor* kthValue,\n+                                  THCudaLongTensor* indices,\n+                                  THCTensor* input,\n+                                  int64_t k, int dim, int keepDim) {\n+  THAssert(kthValue != NULL && indices != NULL && input != NULL);\n+  THCAssertSameGPU(THCTensor_(checkGPU)(state, 3, kthValue, indices, input));\n+  THArgCheck(THCTensor_(nDimension)(state, kthValue) <= MAX_CUTORCH_DIMS, 2, CUTORCH_DIM_WARNING);\n+  int64_t dims = THCudaLongTensor_nDimension(state, indices);\n+  THArgCheck(dims <= MAX_CUTORCH_DIMS, 3, CUTORCH_DIM_WARNING);\n+  int numDims = THCTensor_(nDimension)(state, input);\n+  THArgCheck(numDims <= MAX_CUTORCH_DIMS, 4, CUTORCH_DIM_WARNING);\n+\n+  THArgCheck(dim >= 0 && dim < numDims, 6, \"dim not in range\");\n+\n+  int64_t sliceSize = THCTensor_(size)(state, input, dim);\n+  THArgCheck(k > 0 && k <= sliceSize, 5, \"k not in range for dimension\");\n+\n+  // Build the output size, which is the dim being selected set to\n+  // size 1\n+  THLongStorage* kthValueSize = THCTensor_(newSizeOf)(state, input);\n+  THLongStorage_set(kthValueSize, dim, 1);\n+  THCTensor_(resize)(state, kthValue, kthValueSize, NULL);","path":"aten/src/THC/generic/THCTensorKthValue.cu","position":27,"original_position":27,"commit_id":"67204dac722d05387ca13d50382378d66e1c3814","original_commit_id":"b88b13605d7ae48f3b14ef96200143b278cb14ea","user":{"login":"pararthshah","id":1484859,"node_id":"MDQ6VXNlcjE0ODQ4NTk=","avatar_url":"https://avatars2.githubusercontent.com/u/1484859?v=4","gravatar_id":"","url":"https://api.github.com/users/pararthshah","html_url":"https://github.com/pararthshah","followers_url":"https://api.github.com/users/pararthshah/followers","following_url":"https://api.github.com/users/pararthshah/following{/other_user}","gists_url":"https://api.github.com/users/pararthshah/gists{/gist_id}","starred_url":"https://api.github.com/users/pararthshah/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/pararthshah/subscriptions","organizations_url":"https://api.github.com/users/pararthshah/orgs","repos_url":"https://api.github.com/users/pararthshah/repos","events_url":"https://api.github.com/users/pararthshah/events{/privacy}","received_events_url":"https://api.github.com/users/pararthshah/received_events","type":"User","site_admin":false},"body":"Would the same issue occur in THCTensorTopK, which does the resize as well? https://github.com/pytorch/pytorch/blob/master/aten/src/THC/generic/THCTensorTopK.cu#L27\r\n\r\nMaybe this should be done in a follow-up PR to fix both implementations.","created_at":"2018-06-19T16:20:50Z","updated_at":"2018-06-19T16:20:50Z","html_url":"https://github.com/pytorch/pytorch/pull/8406#discussion_r196491911","pull_request_url":"https://api.github.com/repos/pytorch/pytorch/pulls/8406","author_association":"NONE","_links":{"self":{"href":"https://api.github.com/repos/pytorch/pytorch/pulls/comments/196491911"},"html":{"href":"https://github.com/pytorch/pytorch/pull/8406#discussion_r196491911"},"pull_request":{"href":"https://api.github.com/repos/pytorch/pytorch/pulls/8406"}},"in_reply_to_id":195761327},"pull_request":{"url":"https://api.github.com/repos/pytorch/pytorch/pulls/8406","id":194433774,"node_id":"MDExOlB1bGxSZXF1ZXN0MTk0NDMzNzc0","html_url":"https://github.com/pytorch/pytorch/pull/8406","diff_url":"https://github.com/pytorch/pytorch/pull/8406.diff","patch_url":"https://github.com/pytorch/pytorch/pull/8406.patch","issue_url":"https://api.github.com/repos/pytorch/pytorch/issues/8406","number":8406,"state":"open","locked":false,"title":"Add CUDA implementation of kthvalue using radixSelect","user":{"login":"pararthshah","id":1484859,"node_id":"MDQ6VXNlcjE0ODQ4NTk=","avatar_url":"https://avatars2.githubusercontent.com/u/1484859?v=4","gravatar_id":"","url":"https://api.github.com/users/pararthshah","html_url":"https://github.com/pararthshah","followers_url":"https://api.github.com/users/pararthshah/followers","following_url":"https://api.github.com/users/pararthshah/following{/other_user}","gists_url":"https://api.github.com/users/pararthshah/gists{/gist_id}","starred_url":"https://api.github.com/users/pararthshah/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/pararthshah/subscriptions","organizations_url":"https://api.github.com/users/pararthshah/orgs","repos_url":"https://api.github.com/users/pararthshah/repos","events_url":"https://api.github.com/users/pararthshah/events{/privacy}","received_events_url":"https://api.github.com/users/pararthshah/received_events","type":"User","site_admin":false},"body":"This adds an implementation of THCTensor_(kthvalue) which uses the parallel radixSelect implementation used in topk.\r\n\r\nUpdated test/test_cuda.py to not skip tests for kthvalue.\r\n\r\n","created_at":"2018-06-12T23:22:23Z","updated_at":"2018-06-19T16:20:50Z","closed_at":null,"merged_at":null,"merge_commit_sha":"16ece55b9d888e4bf06e1a4b8c488aaf3b4333e5","assignee":null,"assignees":[],"requested_reviewers":[{"login":"ezyang","id":13564,"node_id":"MDQ6VXNlcjEzNTY0","avatar_url":"https://avatars0.githubusercontent.com/u/13564?v=4","gravatar_id":"","url":"https://api.github.com/users/ezyang","html_url":"https://github.com/ezyang","followers_url":"https://api.github.com/users/ezyang/followers","following_url":"https://api.github.com/users/ezyang/following{/other_user}","gists_url":"https://api.github.com/users/ezyang/gists{/gist_id}","starred_url":"https://api.github.com/users/ezyang/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ezyang/subscriptions","organizations_url":"https://api.github.com/users/ezyang/orgs","repos_url":"https://api.github.com/users/ezyang/repos","events_url":"https://api.github.com/users/ezyang/events{/privacy}","received_events_url":"https://api.github.com/users/ezyang/received_events","type":"User","site_admin":false},{"login":"zdevito","id":370202,"node_id":"MDQ6VXNlcjM3MDIwMg==","avatar_url":"https://avatars0.githubusercontent.com/u/370202?v=4","gravatar_id":"","url":"https://api.github.com/users/zdevito","html_url":"https://github.com/zdevito","followers_url":"https://api.github.com/users/zdevito/followers","following_url":"https://api.github.com/users/zdevito/following{/other_user}","gists_url":"https://api.github.com/users/zdevito/gists{/gist_id}","starred_url":"https://api.github.com/users/zdevito/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/zdevito/subscriptions","organizations_url":"https://api.github.com/users/zdevito/orgs","repos_url":"https://api.github.com/users/zdevito/repos","events_url":"https://api.github.com/users/zdevito/events{/privacy}","received_events_url":"https://api.github.com/users/zdevito/received_events","type":"User","site_admin":false},{"login":"colesbury","id":655866,"node_id":"MDQ6VXNlcjY1NTg2Ng==","avatar_url":"https://avatars1.githubusercontent.com/u/655866?v=4","gravatar_id":"","url":"https://api.github.com/users/colesbury","html_url":"https://github.com/colesbury","followers_url":"https://api.github.com/users/colesbury/followers","following_url":"https://api.github.com/users/colesbury/following{/other_user}","gists_url":"https://api.github.com/users/colesbury/gists{/gist_id}","starred_url":"https://api.github.com/users/colesbury/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/colesbury/subscriptions","organizations_url":"https://api.github.com/users/colesbury/orgs","repos_url":"https://api.github.com/users/colesbury/repos","events_url":"https://api.github.com/users/colesbury/events{/privacy}","received_events_url":"https://api.github.com/users/colesbury/received_events","type":"User","site_admin":false},{"login":"soumith","id":1310570,"node_id":"MDQ6VXNlcjEzMTA1NzA=","avatar_url":"https://avatars0.githubusercontent.com/u/1310570?v=4","gravatar_id":"","url":"https://api.github.com/users/soumith","html_url":"https://github.com/soumith","followers_url":"https://api.github.com/users/soumith/followers","following_url":"https://api.github.com/users/soumith/following{/other_user}","gists_url":"https://api.github.com/users/soumith/gists{/gist_id}","starred_url":"https://api.github.com/users/soumith/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/soumith/subscriptions","organizations_url":"https://api.github.com/users/soumith/orgs","repos_url":"https://api.github.com/users/soumith/repos","events_url":"https://api.github.com/users/soumith/events{/privacy}","received_events_url":"https://api.github.com/users/soumith/received_events","type":"User","site_admin":false},{"login":"gchanan","id":3768583,"node_id":"MDQ6VXNlcjM3Njg1ODM=","avatar_url":"https://avatars2.githubusercontent.com/u/3768583?v=4","gravatar_id":"","url":"https://api.github.com/users/gchanan","html_url":"https://github.com/gchanan","followers_url":"https://api.github.com/users/gchanan/followers","following_url":"https://api.github.com/users/gchanan/following{/other_user}","gists_url":"https://api.github.com/users/gchanan/gists{/gist_id}","starred_url":"https://api.github.com/users/gchanan/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/gchanan/subscriptions","organizations_url":"https://api.github.com/users/gchanan/orgs","repos_url":"https://api.github.com/users/gchanan/repos","events_url":"https://api.github.com/users/gchanan/events{/privacy}","received_events_url":"https://api.github.com/users/gchanan/received_events","type":"User","site_admin":false},{"login":"apaszke","id":4583066,"node_id":"MDQ6VXNlcjQ1ODMwNjY=","avatar_url":"https://avatars3.githubusercontent.com/u/4583066?v=4","gravatar_id":"","url":"https://api.github.com/users/apaszke","html_url":"https://github.com/apaszke","followers_url":"https://api.github.com/users/apa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