{"push_id":2748161149,"size":2,"distinct_size":2,"ref":"refs/heads/master","head":"5e4de0821a251a88097809e16a370141c438c58d","before":"ad47228020ab0e06a14dde4db5baaae88f83dbb3","commits":[{"sha":"6cd0174ff588acde57a6e2eed6e2a8c1d0d54942","author":{"name":"Edward Yang","email":"dbd597f5635f432486c5d365e9bb585b3eaa1853@fb.com"},"message":"Reimplement localScalar as a native function. (#9762)\n\nSummary:\nI split it into two parts, _local_scalar and _local_scalar_dense (unchecked)\nso I could reuse the sparse logic in both paths.\n\n_local_scalar became a method on Tensor to work around a circular\ninclude problem.\n\nThis is resurrected copy of #9652\nPull Request resolved: https://github.com/pytorch/pytorch/pull/9762\n\nDifferential Revision: D8972348\n\nPulled By: ezyang\n\nfbshipit-source-id: 2232dbfc8e1286b8a4a1c67d285c13a7771aad4c","distinct":true,"url":"https://api.github.com/repos/pytorch/pytorch/commits/6cd0174ff588acde57a6e2eed6e2a8c1d0d54942"},{"sha":"5e4de0821a251a88097809e16a370141c438c58d","author":{"name":"Edward Yang","email":"dbd597f5635f432486c5d365e9bb585b3eaa1853@fb.com"},"message":"Set ROCm MAX_JOBS=4 (#9856)\n\nSummary:\nSigned-off-by: Edward Z. Yang <ezyang@fb.com>\nPull Request resolved: https://github.com/pytorch/pytorch/pull/9856\n\nDifferential Revision: D9009100\n\nPulled By: ezyang\n\nfbshipit-source-id: 28f34128fcb7c3d6a115884bf28dc2a6bde5aed6","distinct":true,"url":"https://api.github.com/repos/pytorch/pytorch/commits/5e4de0821a251a88097809e16a370141c438c58d"}]}
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