)]}'
{
  "commit": "05ac77415873105a78d65371f4521d75589fb090",
  "tree": "5c404d46b5d7a80832bd9ef6f78dd2943b5c53f0",
  "parents": [
    "d47054e6c603cfe109846f040e2d1dd1eb0464df"
  ],
  "author": {
    "name": "Derek Chow",
    "email": "derekjchow@google.com",
    "time": "Fri Nov 03 13:49:54 2023 -0700"
  },
  "committer": {
    "name": "Derek Chow",
    "email": "derekjchow@google.com",
    "time": "Fri Nov 10 14:02:53 2023 -0800"
  },
  "message": "Use optimized 1x1 conv implementation.\n\nChange-Id: I6be5c3f6fc8b981ab738fb492e8b3318544aa289\n",
  "tree_diff": [
    {
      "type": "modify",
      "old_id": "0d2f06804fcab778b3591c0fe0b389898784f339",
      "old_mode": 33188,
      "old_path": "tensorflow/lite/micro/kernels/kelvin/conv.cc",
      "new_id": "03904bc659c46b69a5d752c635f1c9ae9f44c0d1",
      "new_mode": 33188,
      "new_path": "tensorflow/lite/micro/kernels/kelvin/conv.cc"
    }
  ]
}