{"push_id":2744516783,"size":23,"distinct_size":23,"ref":"refs/heads/export-D8949612","head":"86d2f6e50a370b54a6ebe0a4d61a9e7e3a0e0901","before":"b761749239b71e20745227831c37a5872e7722e5","commits":[{"sha":"5df3eae89e28b5f133df1277a869b7e5a3b91647","author":{"name":"Xiaomeng Yang","email":"fa3cdf6a720cb5ffb1e60f18b20b9cd8e7c08285@fb.com"},"message":"Add 1x1 specialization for conv with NCHW order (#9671)\n\nSummary:\nPull Request resolved: https://github.com/pytorch/pytorch/pull/9671\n\nAdd 1x1 specialization for conv with NCHW order\n\nReviewed By: houseroad\n\nDifferential Revision: D8944686\n\nfbshipit-source-id: 94bf44f69498b1934b7dfff4c0e989342c7bb61c","distinct":true,"url":"https://api.github.com/repos/fishbone/pytorch/commits/5df3eae89e28b5f133df1277a869b7e5a3b91647"},{"sha":"9bf72b2087762105c3ee7ac5fd977a28203faa8c","author":{"name":"Zachary DeVito","email":"ffbacb804f60e1eea39c96029c00fe9a377f84d7@fb.com"},"message":"Add missing windows exports\n\nSummary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/9738\n\nReviewed By: apaszke\n\nDifferential Revision: D8961728\n\nPulled By: zdevito\n\nfbshipit-source-id: aacba8c03d0d8dfe1e87585d1c2b26703d2ed103","distinct":true,"url":"https://api.github.com/repos/fishbone/pytorch/commits/9bf72b2087762105c3ee7ac5fd977a28203faa8c"},{"sha":"ba634c11df16954b5bbb73f8da1dbe93ad1e848b","author":{"name":"Edward Yang","email":"dbd597f5635f432486c5d365e9bb585b3eaa1853@fb.com"},"message":"Move strides to base class. (#9749)\n\nSummary:\nApproved in #9644\nPull Request resolved: https://github.com/pytorch/pytorch/pull/9749\n\nDifferential Revision: D8965336\n\nPulled By: ezyang\n\nfbshipit-source-id: d1b0763e592f298395621cfd684715dc0a550cd6","distinct":true,"url":"https://api.github.com/repos/fishbone/pytorch/commits/ba634c11df16954b5bbb73f8da1dbe93ad1e848b"},{"sha":"adda789770c50edee194317bcf05e1a2f39dfc9c","author":{"name":"Lu Fang","email":"6e6bc3b7f607f5d674fb8a406040e26b26ffec27@fb.com"},"message":"Skip maxpool_with_indices onnx tests (#9751)\n\nSummary:\nNot in the same format. Skip at the moment.\nPull Request resolved: https://github.com/pytorch/pytorch/pull/9751\n\nReviewed By: yinghai\n\nDifferential Revision: D8965636\n\nPulled By: houseroad\n\nfbshipit-source-id: 81d39c2f5625c14c0e1ee11408b5f7267b53798f","distinct":true,"url":"https://api.github.com/repos/fishbone/pytorch/commits/adda789770c50edee194317bcf05e1a2f39dfc9c"},{"sha":"a7afba7308bc48c602cea48a0ec7df61749239f9","author":{"name":"Junjie Bai","email":"7c824f2e1c4d8e5c9445dd7ded4e96febed020f7@in.tum.de"},"message":"Remove duplicated functions (#9601)\n\nSummary:\nfound by linter, duplication was likely introduced in previous code sync\nPull Request resolved: https://github.com/pytorch/pytorch/pull/9601\n\nDifferential Revision: D8922379\n\nPulled By: bddppq\n\nfbshipit-source-id: 1f61bd7f539d823e62920615674a532ec0149623","distinct":true,"url":"https://api.github.com/repos/fishbone/pytorch/commits/a7afba7308bc48c602cea48a0ec7df61749239f9"},{"sha":"679d397f28714bcccf0c6da113ff06eaf7bd70c8","author":{"name":"Gregory Chanan","email":"405a4c10dc10d9753e4d637a51ebfa857b6fcbb3@fb.com"},"message":"Fix scalar_tensor_test for squeeze/unsqueeze with zero sized dimensions.\n\nSummary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/9766\n\nDifferential Revision: D8971173\n\nPulled By: gchanan\n\nfbshipit-source-id: 50bf7778eee7c60f51e1660ad834e161fa40f563","distinct":true,"url":"https://api.github.com/repos/fishbone/pytorch/commits/679d397f28714bcccf0c6da113ff06eaf7bd70c8"},{"sha":"12838346007768b648bc6c36a8199113cddb3c61","author":{"name":"Edward Yang","email":"dbd597f5635f432486c5d365e9bb585b3eaa1853@fb.com"},"message":"Devirtualize TensorImpl::toString (#9758)\n\nSummary:\nThis can hardly be called an improvement (we now print\nCPUFloatType instead of CPUFloatTensor) but it was the\nsimplest way I could think of devirtualizing this function in\nthe short term.  Probably need some sort of native function\nthat gives string information about a tensor.\n\nSigned-off-by: Edward Z. Yang <ezyang@fb.com>\n\nApproved in #9710\nPull Request resolved: https://github.com/pytorch/pytorch/pull/9758\n\nDifferential Revision: D8966935\n\nPulled By: ezyang\n\nfbshipit-source-id: a4641affe0a6153f90cdd9f4f2a1100e46d1a2db","distinct":true,"url":"https://api.github.com/repos/fishbone/pytorch/commits/12838346007768b648bc6c36a8199113cddb3c61"},{"sha":"f6496229a5fbf626875488ecabb7dae5c3856bed","author":{"name":"Will Wilson","email":"9ef86c9f852f82b1c2c194c2cb5eea271c671d31@fb.com"},"message":"Fixes xcode 10 beta 4 compile error (#9748)\n\nSummary:\nWhen building iOS apps with a caffe2 dependency, we were seeing the `caffe2/caffe2/mobile/contrib/ios/mpscnn/mpscnn.mm:33:17: error: method 'copyWithZone:' in protocol 'NSCopying' not implemented [-Werror,-Wprotocol]`. This fixes it by implementing a shallow copy with that method.\nPull Request resolved: https://github.com/pytorch/pytorch/pull/9748\n\nReviewed By: jerryzh168\n\nDifferential Revision: D8954332\n\nPulled By: williamtwilson\n\nfbshipit-source-id: 0cd44408257c0bd3f4ffb80312ea9d13d13e5ff3","distinct":true,"url":"https://api.github.com/repos/fishbone/pytorch/commits/f6496229a5fbf626875488ecabb7dae5c3856bed"},{"sha":"675d80841ab88da67e33fdbdface9c685929ba70","author":{"name":"Gregory Chanan","email":"405a4c10dc10d9753e4d637a51ebfa857b6fcbb3@fb.com"},"message":"Small fixups for n-dimensional empty tensors in CUDA non-reduction di… (#9722)\n\nSummary:\n…m ops.\n\nContinuation of https://github.com/pytorch/pytorch/pull/9658.\nPull Request resolved: https://github.com/pytorch/pytorch/pull/9722\n\nDifferential Revision: D8956321\n\nPulled By: gchanan\n\nfbshipit-source-id: 116fcaa1be5b1373f03217911556a28125cc860d","distinct":true,"url":"https://api.github.com/repos/fishbone/pytorch/commits/675d80841ab88da67e33fdbdface9c685929ba70"},{"sha":"6ab5e697b982d24936ec78c51511976c7dbbb007","author":{"name":"Gregory Chanan","email":"405a4c10dc10d9753e4d637a51ebfa857b6fcbb3@fb.com"},"message":"Small fixups for enabling zero size dims. (#9724)\n\nSummary:\n1) Properly test cpu for alpha/beta addmm cases.\n2) Unsqueeze on empty no longer throws an exception.\nPull Request resolved: https://github.com/pytorch/pytorch/pull/9724\n\nReviewed By: ezyang\n\nDifferential Revision: D8958513\n\nPulled By: gchanan\n\nfbshipit-source-id: 6ce2ec4a47201f9b225b8c52354144ace43e9e09","distinct":true,"url":"https://api.github.com/repos/fishbone/pytorch/commits/6ab5e697b982d24936ec78c51511976c7dbbb007"},{"sha":"7af5883860e8ddf4f68ae27155eed8a39794e3d3","author":{"name":"Junjie Bai","email":"7c824f2e1c4d8e5c9445dd7ded4e96febed020f7@in.tum.de"},"message":"Eanble python tests on ROCM (#9616)\n\nSummary:\npetrex\nPull Request resolved: https://github.com/pytorch/pytorch/pull/9616\n\nDifferential Revision: D8960623\n\nPulled By: bddppq\n\nfbshipit-source-id: bde93bda6230094e6bf4badd8ee79f0688ae1993","distinct":true,"url":"https://api.github.com/repos/fishbone/pytorch/commits/7af5883860e8ddf4f68ae27155eed8a39794e3d3"},{"sha":"2b134c72e6ffdd38d408efcf30bb49111bdc030f","author":{"name":"Kittipat Virochsiri","email":"9d87b89a774fdaaca76108747c3471f1c21ddfed@fb.com"},"message":"Add interface to provide blob types to shape&type inference (#9643)\n\nSummary:\nPull Request resolved: https://github.com/pytorch/pytorch/pull/9643\n\nCurrent map interface assumes float data type, which is not always correct.\n\nReviewed By: kennyhorror\n\nDifferential Revision: D8455784\n\nfbshipit-source-id: b94a31267760f7f97c15aa4b03008affc347fd10","distinct":true,"url":"https://api.github.com/repos/fishbone/pytorch/commits/2b134c72e6ffdd38d408efcf30bb49111bdc030f"},{"sha":"f9a99d5504818e2d8211dd9229665fb732a9c61e","author":{"name":"vishwakftw","email":"7d9dbaf6fdbe0bc4465fbe69a9c17ceb70dc8fb9@iith.ac.in"},"message":"Specify default initialization schemes for modules in docs (#9038)\n\nSummary: This closes #6906 .\n\nReviewed By: ezyang\n\nDifferential Revision: D8698632\n\nPulled By: weiyangfb\n\nfbshipit-source-id: 259c1dbdc264a8e9f83e196fa72d135babd97d48","distinct":true,"url":"https://api.github.com/repos/fishbone/pytorch/commits/f9a99d5504818e2d8211dd9229665fb732a9c61e"},{"sha":"6885b3fd62a9de2fd425988aeef0bd11356cbb64","author":{"name":"Edward Yang","email":"dbd597f5635f432486c5d365e9bb585b3eaa1853@fb.com"},"message":"Delete dead IsVariable enum. (#9768)\n\nSummary:\nSigned-off-by: Edward Z. Yang <ezyang@fb.com>\nPull Request resolved: https://github.com/pytorch/pytorch/pull/9768\n\nDifferential Revision: D8975802\n\nPulled By: ezyang\n\nfbshipit-source-id: f85844872a1eb13e782aba0c168a3a1c1ac0313d","distinct":true,"url":"https://api.github.com/repos/fishbone/pytorch/commits/6885b3fd62a9de2fd425988aeef0bd11356cbb64"},{"sha":"360c1bbd5b36fd84670292b2ea93170c31cbd5cf","author":{"name":"Vishwak Srinivasan","email":"7d9dbaf6fdbe0bc4465fbe69a9c17ceb70dc8fb9@iith.ac.in"},"message":"Add multivariate log-gamma (mvlgamma) (#9451)\n\nSummary:\n1. Add tests in test_cuda, test_torch\n2. Add doc strings\n\nCloses https://github.com/pytorch/pytorch/issues/9378 .\n\nDifferential Revision: D8859746\n\nPulled By: ezyang\n\nfbshipit-source-id: 939c309d90940a7aa08f53004c9e7b3b1c9cf54e","distinct":true,"url":"https://api.github.com/repos/fishbone/pytorch/commits/360c1bbd5b36fd84670292b2ea93170c31cbd5cf"},{"sha":"7050d83dd728858cb1095788285316d1c3297b86","author":{"name":"Thomas Viehmann","email":"36ac19d4ad6fe01b06633a4b23ed512831899735@beamnet.de"},"message":"Make logsumexp_out inplace (#9755)\n\nSummary:\nFixes: #9754\n\nMaybe this could also make its way into 0.4.1, it  is a severe debugging headache if you hit this...\nPull Request resolved: https://github.com/pytorch/pytorch/pull/9755\n\nReviewed By: ezyang\n\nDifferential Revision: D8967178\n\nPulled By: zou3519\n\nfbshipit-source-id: 151ed24e3a15a0c67014e411ac808fb893929a42","distinct":true,"url":"https://api.github.com/repos/fishbone/pytorch/commits/7050d83dd728858cb1095788285316d1c3297b86"},{"sha":"e26d584445a80a548485097bfbef1f67bba5f771","author":{"name":"Gregory Chanan","email":"405a4c10dc10d9753e4d637a51ebfa857b6fcbb3@fb.com"},"message":"Remove isScalar() from TensorImpl.\n\nSummary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/9765\n\nDifferential Revision: D8969474\n\nPulled By: gchanan\n\nfbshipit-source-id: 42002b129488179affc919dba877de5a4e8f9fb5","distinct":true,"url":"https://api.github.com/repos/fishbone/pytorch/commits/e26d584445a80a548485097bfbef1f67bba5f771"},{"sha":"f393df774b07bd8ae5fdccb9007e68ef38403f5b","author":{"name":"Peter Goldsborough","email":"887f44f8e6d2ec27368b0275bb31f402fb8ca659@fb.com"},"message":"Test case for c10d DDP (#9670)\n\nSummary:\nBefore I can rewrite portions of the c10d DDP in C++ I need proper tests in place to make sure I am not breaking anything as I port code. There were no tests for the c10d DDP in place so I wrote some.\n\nI refactored the c10d tests to derive some tests cases from a general `MultiGPUTestCase` and followed lots of patterns from `test_distributed.py` w.r.t. how tests are skipped (such that the main process doesn't initialize CUDA, which I found is a super important detail!!!).\n\nI am largely unfamiliar with this code so feel free to scrutinize. The DDP test code itself is also largely taken from `test_distributed.py` but more inlined which I find easier to read.\nPull Request resolved: https://github.com/pytorch/pytorch/pull/9670\n\nDifferential Revision: D8977724\n\nPulled By: goldsborough\n\nfbshipit-source-id: 186eab38a72384d7992a2ec5c89f304ad42d5944","distinct":true,"url":"https://api.github.com/repos/fishbone/pytorch/commits/f393df774b07bd8ae5fdccb9007e68ef38403f5b"},{"sha":"37fc58f1d3c7c9b8e1af8418f32df93e266c9c98","author":{"name":"Tongzhou Wang","email":"96b5c3d5a7a36c8be47478427b2e4d4231204fe0@gmail.com"},"message":"Use torch::empty before random_ on seed gen\n\nSummary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/9769\n\nReviewed By: goldsborough\n\nDifferential Revision: D8977636\n\nPulled By: SsnL\n\nfbshipit-source-id: c2437d5ef53dc74e1b17eb16e728e1d67ae314c7","distinct":true,"url":"https://api.github.com/repos/fishbone/pytorch/commits/37fc58f1d3c7c9b8e1af8418f32df93e266c9c98"},{"sha":"e5fe66d7ea2515ccab0b95808a899ce7b037232d","author":{"name":"Junjie Bai","email":"7c824f2e1c4d8e5c9445dd7ded4e96febed020f7@in.tum.de"},"message":"Add support for specifying device_option in Functional (#9619)\n\nSummary:\ne.g.\n```\nFunctional.Add(x, y, device_option=DeviceOption(HIP, 0))\n\n```\nPull Request resolved: https://github.com/pytorch/pytorch/pull/9619\n\nDifferential Revision: D8966599\n\nPulled By: bddppq\n\nfbshipit-source-id: 22235e42f19278e79802642798bf0ee70a1202f6","distinct":true,"url":"https://api.github.com/repos/fishbone/pytorch/commits/e5fe66d7ea2515ccab0b95808a899ce7b037232d"}]}
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