{"action":"created","comment":{"url":"https://api.github.com/repos/pytorch/pytorch/pulls/comments/217949290","pull_request_review_id":155781607,"id":217949290,"node_id":"MDI0OlB1bGxSZXF1ZXN0UmV2aWV3Q29tbWVudDIxNzk0OTI5MA==","diff_hunk":"@@ -760,6 +760,63 @@ def _test_zeros(self, shape, out_shape_i, out_shape_v=None):\n             self.assertEqual(out._sparseDims(), len(shape))\n             self.assertEqual(out._denseDims(), 0)\n \n+    def test_narrow(self):\n+        if self.is_cuda:\n+            input = torch.cuda.sparse.DoubleTensor(\n+                torch.LongTensor([[0], [1], [2]]).transpose(1, 0).cuda(),\n+                torch.FloatTensor([3, 4, 5]).cuda(),\n+                torch.Size([3]))\n+        else:\n+            input = torch.sparse.DoubleTensor(\n+                torch.LongTensor([[0], [1], [2]]).transpose(1, 0),\n+                torch.FloatTensor([3, 4, 5]),\n+                torch.Size([3]))\n+\n+        narrow_args = [0, 0, 2]  # dim, start, length\n+        expected = torch.tensor([3., 4., 5.]).narrow(*narrow_args)\n+\n+        self.assertEqual(expected, input.narrow_copy(*narrow_args).to_dense())\n+        self.assertEqual(expected, input.coalesce().narrow_copy(*narrow_args).to_dense())\n+\n+        uncoalesced = torch.sparse.DoubleTensor(\n+            torch.LongTensor([[0], [1], [2], [0], [1], [2]]).transpose(1, 0),\n+            torch.FloatTensor([2, 3, 4, 1, 1, 1]),\n+            torch.Size([3]))\n+\n+        self.assertEqual(expected, uncoalesced.narrow_copy(*narrow_args).to_dense())\n+        self.assertEqual(expected, uncoalesced.coalesce().narrow_copy(*narrow_args).to_dense())\n+\n+    def test_narrow_hybrid(self):\n+        if self.is_cuda:\n+            input = torch.cuda.sparse.DoubleTensor(","path":"test/test_sparse.py","position":32,"original_position":32,"commit_id":"3d71a47e55cedb4f0997de80e116a9276116556f","original_commit_id":"3d71a47e55cedb4f0997de80e116a9276116556f","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":"You should use the class defined as `self.*Tensor`","created_at":"2018-09-17T05:03:13Z","updated_at":"2018-09-17T05:04:09Z","html_url":"https://github.com/pytorch/pytorch/pull/11342#discussion_r217949290","pull_request_url":"https://api.github.com/repos/pytorch/pytorch/pulls/11342","author_association":"CONTRIBUTOR","_links":{"self":{"href":"https://api.github.com/repos/pytorch/pytorch/pulls/comments/217949290"},"html":{"href":"https://github.com/pytorch/pytorch/pull/11342#discussion_r217949290"},"pull_request":{"href":"https://api.github.com/repos/pytorch/pytorch/pulls/11342"}}},"pull_request":{"url":"https://api.github.com/repos/pytorch/pytorch/pulls/11342","id":213717416,"node_id":"MDExOlB1bGxSZXF1ZXN0MjEzNzE3NDE2","html_url":"https://github.com/pytorch/pytorch/pull/11342","diff_url":"https://github.com/pytorch/pytorch/pull/11342.diff","patch_url":"https://github.com/pytorch/pytorch/pull/11342.patch","issue_url":"https://api.github.com/repos/pytorch/pytorch/issues/11342","number":11342,"state":"open","locked":false,"title":"add narrow() support for sparse tensors re: #8853","user":{"login":"realdoug","id":2383488,"node_id":"MDQ6VXNlcjIzODM0ODg=","avatar_url":"https://avatars1.githubusercontent.com/u/2383488?v=4","gravatar_id":"","url":"https://api.github.com/users/realdoug","html_url":"https://github.com/realdoug","followers_url":"https://api.github.com/users/realdoug/followers","following_url":"https://api.github.com/users/realdoug/following{/other_user}","gists_url":"https://api.github.com/users/realdoug/gists{/gist_id}","starred_url":"https://api.github.com/users/realdoug/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/realdoug/subscriptions","organizations_url":"https://api.github.com/users/realdoug/orgs","repos_url":"https://api.github.com/users/realdoug/repos","events_url":"https://api.github.com/users/realdoug/events{/privacy}","received_events_url":"https://api.github.com/users/realdoug/received_events","type":"User","site_admin":false},"body":"Couple questions:\r\n\r\n1) I used the log1p implementation in #8969 as a guide especially for testing.  I'm not sure what the ```@skipIfROCM``` annotation is for, so unsure if i need it for my test.\r\n\r\n2) I implemented the branching logic in the narrow function itself; is this the right place to do so?  I noticed that there a number of places where sparse-specific logic is handled with just an if statement in this file.  Or should I implement a separate dispatch in native_functions.yml as in the log1p?\r\n\r\nAnd of course, happy to make any any other updates/changes that I may have missed as well.  This is my first PR to the project.","created_at":"2018-09-06T18:58:49Z","updated_at":"2018-09-17T05:04:09Z","closed_at":null,"merged_at":null,"merge_commit_sha":"8ad73692b9670ac3f85f9ed3699fbbbc6629638c","assignee":null,"assignees":[],"requested_reviewers":[{"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/apaszke/followers","following_url":"https://api.github.com/users/apaszke/following{/other_user}","gists_url":"https://api.github.com/users/apaszke/gists{/gist_id}","starred_url":"https://api.github.com/users/apaszke/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/apaszke/subscriptions","organizations_url":"https://api.github.com/users/apaszke/orgs","repos_url":"https://api.github.com/users/apaszke/repos","events_url":"https://api.github.com/users/apaszke/events{/privacy}","received_events_url":"https://api.github.com/users/apaszke/received_events","type":"User","site_admin":false},{"login":"zou3519","id":5652049,"node_id":"MDQ6VXNlcjU2NTIwNDk=","avatar_url":"https://avatars3.githubusercontent.com/u/5652049?v=4","gravatar_id":"","url":"https://api.github.com/users/zou3519","html_url":"https://github.com/zou3519","followers_url":"https://api.github.co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