{"push_id":2800170084,"size":2,"distinct_size":2,"ref":"refs/heads/master","head":"9cffe783f16c107d7a26781b5735644faec5a92c","before":"f59bcea2c3aa522f9d49849e27190d11b987cd4c","commits":[{"sha":"d93e8ab343004cb2437e576b834a707f6e4c1036","author":{"name":"Duc Ngo","email":"11792dfe441ada389d5ee863ca8f5dd8a20524ec@fb.com"},"message":"Nomnigraph - Refactor SubtreeMatchCriteria to become a Graph of MatchNode (#10512)\n\nSummary:\nPull Request resolved: https://github.com/pytorch/pytorch/pull/10512\n\nSubtreeMatchCriteria now becomes a graph of MatchNode\n\nMatchNode consists of NodeMatchCriteria, nonTerminal and count. This is a cleaner internal representation of the data structure and will bring us much closer to DAG matching.\n\nNote that I still keep the debugString method because convertToDotGraph doesn't currently work with Subgraph.\n\nReviewed By: bwasti\n\nDifferential Revision: D9321695\n\nfbshipit-source-id: 58a76f007a9a95d18cf807d419c2b595e9bc847f","distinct":true,"url":"https://api.github.com/repos/pytorch/pytorch/commits/d93e8ab343004cb2437e576b834a707f6e4c1036"},{"sha":"9cffe783f16c107d7a26781b5735644faec5a92c","author":{"name":"Brian Hart","email":"91242a3d7e68e88d95b353e2f9830544acd941fd@us.ibm.com"},"message":"relax tolerance for two torch.half (float16) tests (#10519)\n\nSummary:\nTwo tests in the 'nn' test bucket may fail when the torch.half\n(float16) data type is used. The assertions used in the tests\nintend to allow slight floating point imprecision in the results,\nbut the tolerances used for the comparisons are too strict for\nthe half type.\n\nRelax the tolerances so that slight float16 imprecision won't\ncause test failures.\n\nThe affected tests are:\n\n- test_variable_sequence_cuda\n- test_Conv2d_groups_nobias\n\nFor more information, see issue:\n\nhttps://github.com/pytorch/pytorch/issues/7420\nPull Request resolved: https://github.com/pytorch/pytorch/pull/10519\n\nDifferential Revision: D9343751\n\nPulled By: soumith\n\nfbshipit-source-id: 90aedf48f6e22dd4fed9c7bde7cd7c7b6885845a","distinct":true,"url":"https://api.github.com/repos/pytorch/pytorch/commits/9cffe783f16c107d7a26781b5735644faec5a92c"}]}
{"actor":{"display_login":"facebook-github-bot"}}