{"push_id":3082276787,"size":4,"distinct_size":4,"ref":"refs/heads/export-D12874357","head":"6fe2a87426ecd16ab3d0f5f2abe8e6b61bea5d58","before":"ae55653b78197753d2705d17af1118cedbfb03ed","commits":[{"sha":"735cd065367ffb17d2bdcdd0a346f501ec8f1ce6","author":{"name":"Jerry Zhang","email":"210765c83ad755402ff54425bf352bae661dc900@fb.com"},"message":"FeedTensor returns a Tensor (#14196)\n\nSummary:\nPull Request resolved: https://github.com/pytorch/pytorch/pull/14196\n\nPull Request resolved: https://github.com/pytorch/pytorch/pull/13641\n\nFeedTensor function used to take a pointer to Tensor and feed the content using Resize\nand mutable_data, but since Tensor is a pointer now, we can just return a Tensor instead.\n\nReviewed By: dzhulgakov\n\nDifferential Revision: D13091163\n\nfbshipit-source-id: 9abf2fd320baca76e050530c500dd29f8e2d0211","distinct":true,"url":"https://api.github.com/repos/jerryzh168/pytorch/commits/735cd065367ffb17d2bdcdd0a346f501ec8f1ce6"},{"sha":"bb7fb7e45fb0af97e701e72e7194b4a1b6b19d48","author":{"name":"andersj","email":"4d7c9f8e345f48661e9217b9935ef6fb676bed91@gmail.com"},"message":"remove CAFFE2_API from IdWrapper (#14044)\n\nSummary:\nit doesn't really make sense on a template class. Also it breaks if\nyou try to build in debug on Windows, so this will save someone some\nfrustration in the future.\nPull Request resolved: https://github.com/pytorch/pytorch/pull/14044\n\nDifferential Revision: D13202960\n\nPulled By: anderspapitto\n\nfbshipit-source-id: 617d78366993d5ecc2ba1f23bb90010f10df41f3","distinct":true,"url":"https://api.github.com/repos/jerryzh168/pytorch/commits/bb7fb7e45fb0af97e701e72e7194b4a1b6b19d48"},{"sha":"5918de8e849eb32ab03ede20f59e208413d9b390","author":{"name":"Will Feng","email":"1afd6515b09d0b3eb7e8e4008edd2316b575fbe3@fb.com"},"message":"Revert D13166669: [pytorch][PR] Allow dataloader to accept a custom memory pinning function\n\nDifferential Revision:\nD13166669\n\nOriginal commit changeset: ca965f9841d4\n\nfbshipit-source-id: 0836b4f50f73ba01c97491a719660f02e36f20ad","distinct":true,"url":"https://api.github.com/repos/jerryzh168/pytorch/commits/5918de8e849eb32ab03ede20f59e208413d9b390"},{"sha":"6fe2a87426ecd16ab3d0f5f2abe8e6b61bea5d58","author":{"name":"Jerry Zhang","email":"210765c83ad755402ff54425bf352bae661dc900@fb.com"},"message":"Remove partially initialized Tensor in Deserialization (#14197)\n\nSummary:\nPull Request resolved: https://github.com/pytorch/pytorch/pull/14197\n\nPull Request resolved: https://github.com/pytorch/pytorch/pull/13642\n\nPreviously we pass in a patially initialized Tensor to Deserialize and it will fill\nit with the result of deserialization of a tensor proto. Now we want it to return\na Tensor directly since it's just a shared pointer to TensorImpl.\n\nReviewed By: ezyang\n\nDifferential Revision: D12874357\n\nfbshipit-source-id: 1bf7582da6d2cc5ae98d8d02c4a957a8692be273","distinct":true,"url":"https://api.github.com/repos/jerryzh168/pytorch/commits/6fe2a87426ecd16ab3d0f5f2abe8e6b61bea5d58"}]}
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