)]}'
{
  "commit": "8df0400a50b2766348d196eba0b30b32d77966b1",
  "tree": "a76142cf28a2122020c4c7cbe209f3e23107c54f",
  "parents": [
    "4ce6af35c48d625791420595dd88fe15b9905ce1"
  ],
  "author": {
    "name": "Elias Ellison",
    "email": "eellison@devfair044.maas",
    "time": "Tue Sep 15 10:44:37 2020 -0700"
  },
  "committer": {
    "name": "Facebook GitHub Bot",
    "email": "facebook-github-bot@users.noreply.github.com",
    "time": "Tue Sep 15 11:12:20 2020 -0700"
  },
  "message": "Fix fallback graph in specialize autogradzero (#44654)\n\nSummary:\nPull Request resolved: https://github.com/pytorch/pytorch/pull/44654\n\nPreviously we weren\u0027t creating a fallback graph as intended in specialize autograd zero, so if a Tensor failed one of our undefinedness checks we would run the backward normally without reprofiling \u0026 optimizing.\n\nTest Plan: Imported from OSS\n\nReviewed By: jamesr66a\n\nDifferential Revision: D23691764\n\nPulled By: eellison\n\nfbshipit-source-id: 10c6fa79518c84a6f5ef2bfbd9ea10843af751eb\n",
  "tree_diff": [
    {
      "type": "modify",
      "old_id": "8660be563f8d677f45255a27fb2bbe23a9d7849a",
      "old_mode": 33188,
      "old_path": "test/jit/test_profiler.py",
      "new_id": "50d4351a48706822ad1831bae5653b70bf79e5fd",
      "new_mode": 33188,
      "new_path": "test/jit/test_profiler.py"
    },
    {
      "type": "modify",
      "old_id": "d42cc4f0e540909e32663c22fba58d10761c17de",
      "old_mode": 33188,
      "old_path": "torch/csrc/jit/passes/specialize_autogradzero.cpp",
      "new_id": "ad1fb36da5de6e5edeab3746547d03bbd6c959c4",
      "new_mode": 33188,
      "new_path": "torch/csrc/jit/passes/specialize_autogradzero.cpp"
    }
  ]
}