)]}'
{
  "commit": "abc44971f08886181ce4209065657de766fe9f44",
  "tree": "f62496621652ada0b9d83cff341bca223e8922de",
  "parents": [
    "349ba4921652ed12b3bf35e6c1e34430649ae856"
  ],
  "author": {
    "name": "Alex Van Damme",
    "email": "atv@google.com",
    "time": "Fri Aug 11 11:10:42 2023 -0700"
  },
  "committer": {
    "name": "Alex Van Damme",
    "email": "atv@google.com",
    "time": "Wed Aug 16 15:12:25 2023 -0700"
  },
  "message": "Add kernel for Kelvin\n\n- Add kernel for Kelvin, which uses optimized implementations for Int8,\n  Int16, and Int32 (all non-broadcast).\n\nChange-Id: I1c0dfcb58c3f9fa9dfe213fff2ec3746ca348df4\n",
  "tree_diff": [
    {
      "type": "modify",
      "old_id": "6e8b40c001f9e2f8b9e072d6babe2888e76278ca",
      "old_mode": 33188,
      "old_path": "tensorflow/lite/micro/kernels/add_test.cc",
      "new_id": "bdf02241d596df30abac36ff5472b3b02cb6db22",
      "new_mode": 33188,
      "new_path": "tensorflow/lite/micro/kernels/add_test.cc"
    },
    {
      "type": "add",
      "old_id": "0000000000000000000000000000000000000000",
      "old_mode": 0,
      "old_path": "/dev/null",
      "new_id": "b64c71f621dc1697edb024f9102c5337ada0d0da",
      "new_mode": 33188,
      "new_path": "tensorflow/lite/micro/kernels/kelvin/add.cc"
    }
  ]
}