{"push_id":3182644992,"size":15,"distinct_size":15,"ref":"refs/heads/export-D13540673","head":"ad63a43113d96c85f875737c5bac04e87cdafd03","before":"31e954dcb82173f5e921b5387fb32a358a912d74","commits":[{"sha":"a923ea7cf098e11c47a244825298187fd2e8461d","author":{"name":"Jongsoo Park","email":"9a3e35cef3c98d8190c15db076afab6069cc7549@fb.com"},"message":"disallow nbits_in_non_outlier == 0 in acc16 conv; option to fallback to acc32 (#15708)\n\nSummary:\nPull Request resolved: https://github.com/pytorch/pytorch/pull/15708\n\nnbits_in_non_outlier == 0 doesn't make sense because it means everything is outlier and we can just use 32-bit accumulation.\nDepending on architecture, break-even point between acc16 and acc32 can be different. Adding thresholds for falling back to acc32.\n\nReviewed By: jianyuh\n\nDifferential Revision: D13574832\n\nfbshipit-source-id: b7a37aacbfdc7867e31838dafcdd5f7c2ac282af","distinct":true,"url":"https://api.github.com/repos/yiq-liu/pytorch/commits/a923ea7cf098e11c47a244825298187fd2e8461d"},{"sha":"2d8f14cd120a74d80de199f057a2d40e17b0dd96","author":{"name":"Elad Zippory","email":"fe3ffa6f48de104719cedc0f3ef4222a979a34ad@nyu.edu"},"message":"clarified language of doc for torch.mul (#15664)\n\nSummary:\nsee issue #15636\n\nPlease note - I build the documents but the HTML is not updated with the edited content.\nI did not also build the fork.\nPull Request resolved: https://github.com/pytorch/pytorch/pull/15664\n\nDifferential Revision: D13571310\n\nPulled By: soumith\n\nfbshipit-source-id: d43be0f61705693d778cc12c13e86d6b06130ac7","distinct":true,"url":"https://api.github.com/repos/yiq-liu/pytorch/commits/2d8f14cd120a74d80de199f057a2d40e17b0dd96"},{"sha":"069d8941451b23178869bbe9dc2d4c164e56b250","author":{"name":"Jongsoo Park","email":"9a3e35cef3c98d8190c15db076afab6069cc7549@fb.com"},"message":"make conv_depthwise_dnnlowp_op_test faster (#15725)\n\nSummary:\nPull Request resolved: https://github.com/pytorch/pytorch/pull/15725\n\nAs title says.\n\nReviewed By: jianyuh\n\nDifferential Revision: D13579188\n\nfbshipit-source-id: 382072c95929ccf9e189e2338e35b046c4a0650f","distinct":true,"url":"https://api.github.com/repos/yiq-liu/pytorch/commits/069d8941451b23178869bbe9dc2d4c164e56b250"},{"sha":"b740b92f3600840e09d4c93f3138333838d1e474","author":{"name":"Youngseok","email":"026bdbc361025919833e2282abea610f24063aca@gmail.com"},"message":"Modify torch.gesv error message (#15654)\n\nSummary:\n[doc](https://pytorch.org/docs/stable/torch.html#torch.gesv) uses `B` uppercase so error message should follow to avoid confusion.\nPull Request resolved: https://github.com/pytorch/pytorch/pull/15654\n\nDifferential Revision: D13571297\n\nPulled By: soumith\n\nfbshipit-source-id: 0b4e7797eceff92618f808bbfa65d13c1dcc2da0","distinct":true,"url":"https://api.github.com/repos/yiq-liu/pytorch/commits/b740b92f3600840e09d4c93f3138333838d1e474"},{"sha":"e798a09f6de326f21af32f91e4a7784f4bc7f632","author":{"name":"vishwakftw","email":"7d9dbaf6fdbe0bc4465fbe69a9c17ceb70dc8fb9@iith.ac.in"},"message":"Remove TH/THC link for cholesky_solve (#15691)\n\nSummary:\nChangelog:\n- Remove TH/THC binding\n- Port single matrix case to ATen\nPull Request resolved: https://github.com/pytorch/pytorch/pull/15691\n\nDifferential Revision: D13579317\n\nPulled By: soumith\n\nfbshipit-source-id: 63a55606c656396e777e8e6828acd2ef88ed1543","distinct":true,"url":"https://api.github.com/repos/yiq-liu/pytorch/commits/e798a09f6de326f21af32f91e4a7784f4bc7f632"},{"sha":"e313f1a7bf7dfef4acc081436c0f00bc3bbd9ed5","author":{"name":"Michael Carilli","email":"5598654a278f0d7fc5fab046d4b818491d625f6a@nvidia.com"},"message":"Cudnn Handle Pool 3: At Wit's End (#15668)\n\nSummary:\nezyang Here's a freshly rebased version of https://github.com/pytorch/pytorch/pull/15080 with the if statement that relieved the hangs that occasionally, nondeterministically, occurred on cudnnCreate on a particular windows build ([example w/debug statements](https://ci.pytorch.org/jenkins/job/pytorch-builds/job/pytorch-win-ws2016-cuda9-cudnn7-py3-test2/19238/console))  in https://github.com/pytorch/pytorch/pull/15280.\n\nI'd like to run the CI over this several times before it's considered mergeable.  Sometimes the windows hang doesn't manifest for 2 or 3 consecutive trials.\nPull Request resolved: https://github.com/pytorch/pytorch/pull/15668\n\nDifferential Revision: D13579291\n\nPulled By: soumith\n\nfbshipit-source-id: 3972eb98bad6ece933ca5e67a10fc4bc2ed06068","distinct":true,"url":"https://api.github.com/repos/yiq-liu/pytorch/commits/e313f1a7bf7dfef4acc081436c0f00bc3bbd9ed5"},{"sha":"ad0ef7ae4888f41930157289e5a193da0f13d685","author":{"name":"Jongsoo Park","email":"9a3e35cef3c98d8190c15db076afab6069cc7549@fb.com"},"message":"remove dependency to fp32 batch permutation op (#15723)\n\nSummary:\nPull Request resolved: https://github.com/pytorch/pytorch/pull/15723\n\nAs title says.\n\nReviewed By: jianyuh\n\nDifferential Revision: D13578604\n\nfbshipit-source-id: 0da0ac31ae83c1e0daa9077e878feb4deffed6a3","distinct":true,"url":"https://api.github.com/repos/yiq-liu/pytorch/commits/ad0ef7ae4888f41930157289e5a193da0f13d685"},{"sha":"9e88547d72466f957c2a788cb869295ab77067ea","author":{"name":"Jerry Zhang","email":"210765c83ad755402ff54425bf352bae661dc900@fb.com"},"message":"Tensor construction codemod - 1/2 (#15598)\n\nSummary:\nPull Request resolved: https://github.com/pytorch/pytorch/pull/15598\n\nCodemod generated with clangr shard mode, 25 files per diff,\nmotivation: https://github.com/pytorch/pytorch/pull/12407\n\nReviewed By: dzhulgakov\n\nDifferential Revision: D13542429\n\nfbshipit-source-id: db1059c78e85724d9b4fdab70466cf329db68359","distinct":true,"url":"https://api.github.com/repos/yiq-liu/pytorch/commits/9e88547d72466f957c2a788cb869295ab77067ea"},{"sha":"fad84801469e1c1027d1f4790e64d02d2813faa9","author":{"name":"svcscm","email":"319d4a8b107b971d56786637202f7ee82b269e79@fb.com"},"message":"Updating submodules\n\nReviewed By: yns88\n\nfbshipit-source-id: b8be56b57d109dfef5980ea7255e2ab021da099e","distinct":true,"url":"https://api.github.com/repos/yiq-liu/pytorch/commits/fad84801469e1c1027d1f4790e64d02d2813faa9"},{"sha":"b1529eeadb531a2454ec8c851f70034b59664df7","author":{"name":"Elias Ellison","email":"32bcb86024d493ca261d5686b38111589a7092c1@fb.com"},"message":"Print out operator suggestions for unknown builtin op (#15183)\n\nSummary:\nThis improves the error message for \"unknown builtin op\" to suggest similarly named ops.\n\nCurrently it prints out all operators with a name within two edits.\n\nRelated issue: https://github.com/pytorch/pytorch/issues/13409\nPull Request resolved: https://github.com/pytorch/pytorch/pull/15183\n\nDifferential Revision: D13578509\n\nPulled By: eellison\n\nfbshipit-source-id: 5c73408eda1f7aa456f5bd28790c34df0c76aeca","distinct":true,"url":"https://api.github.com/repos/yiq-liu/pytorch/commits/b1529eeadb531a2454ec8c851f70034b59664df7"},{"sha":"07c49916223624d24a522035649648d32924795d","author":{"name":"Jerry Zhang","email":"210765c83ad755402ff54425bf352bae661dc900@fb.com"},"message":"Tensor construction codemod - 2/2 (#15600)\n\nSummary:\nPull Request resolved: https://github.com/pytorch/pytorch/pull/15600\n\nCodemod generated with clangr shard mode, 25 files per diff,\nmotivation: https://github.com/pytorch/pytorch/pull/12407\n\nReviewed By: dzhulgakov\n\nDifferential Revision: D13542455\n\nfbshipit-source-id: 8a3b15b0a1f81565f34e309114e1c3e1f7f65a3c","distinct":true,"url":"https://api.github.com/repos/yiq-liu/pytorch/commits/07c49916223624d24a522035649648d32924795d"},{"sha":"43761e01f55f7add733ca067c0080f3be667be50","author":{"name":"zrphercule","email":"2637fe57af6194c3c5fd0cc0a01ffd77a3d991d9@gmail.com"},"message":"Temporarily disable all XXXlike operator tests in pytorch-onnx test (#15740)\n\nSummary:\nWe are going to have some breaking changes in ConstantLike and related operators in onnx, therefore it is better to disable all related tests for these operators for now.\nThese operators are not currently supported by caffe2, and are not included in our most recently released onnx, therefore we do not need to worry about internal/external production breaking.\nPull Request resolved: https://github.com/pytorch/pytorch/pull/15740\n\nDifferential Revision: D13582528\n\nPulled By: zrphercule\n\nfbshipit-source-id: 92a890c1dc2a833969af69edfea85331bb4d562f","distinct":true,"url":"https://api.github.com/repos/yiq-liu/pytorch/commits/43761e01f55f7add733ca067c0080f3be667be50"},{"sha":"6adbe12c74efdb60f5a119954ec9d4e2b41a3ac4","author":{"name":"Will Feng","email":"1afd6515b09d0b3eb7e8e4008edd2316b575fbe3@fb.com"},"message":"Update CI credentials\n\nSummary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/15736\n\nDifferential Revision: D13583174\n\nPulled By: yf225\n\nfbshipit-source-id: 742470db10ef9df8f95e27626453b68ca90723e8","distinct":true,"url":"https://api.github.com/repos/yiq-liu/pytorch/commits/6adbe12c74efdb60f5a119954ec9d4e2b41a3ac4"},{"sha":"04bf5285896e52ac118d2f9e9b7f582f695f13e2","author":{"name":"andersj","email":"4d7c9f8e345f48661e9217b9935ef6fb676bed91@gmail.com"},"message":"remove use of tmp_install\n\nSummary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/14553\n\nDifferential Revision: D13583335\n\nPulled By: anderspapitto\n\nfbshipit-source-id: 8711fead9eda877c1037a0bc59f91a3d2e01f3e0","distinct":true,"url":"https://api.github.com/repos/yiq-liu/pytorch/commits/04bf5285896e52ac118d2f9e9b7f582f695f13e2"},{"sha":"ad63a43113d96c85f875737c5bac04e87cdafd03","author":{"name":"Yiqun Liu","email":"fad5115912ac372840c596e43fa8675297cc3079@fb.com"},"message":"Add random softmax operator (#15583)\n\nSummary:\nPull Request resolved: https://github.com/pytorch/pytorch/pull/15583\n\n*Note that some changes in `softmax_ops.cu` are purely format change as a result of `Shift+Cmd+C`. Reviewers shall focus on changes where there is a **Random** or **random_** prefix.\n\nThe implementation of `random_softmax.[h|cc]`  are based on [fbcode/caffe2/caffe2/operators/softmax_op.cc](diffusion/FBS/browse/master/fbcode/caffe2/caffe2/operators/softmax_op.cc$115)\n\n{F147119265}\n\nSee more details of math in\n{F147121235}\n\n{F147119279}\n\nCompared with **standard softmax**, where the gradient of Input is:\n\n{F147120256}\n\nDifferential Revision: D13540673\n\nfbshipit-source-id: 86045d7bdee1063f2cb9eb560046f284acede119","distinct":true,"url":"https://api.github.com/repos/yiq-liu/pytorch/commits/ad63a43113d96c85f875737c5bac04e87cdafd03"}]}
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