)]}'
{
  "commit": "9b5fb2ce6fea7a41d9746653b4e89cfe3512c410",
  "tree": "b403895b0219815ebf024e4a7b317e38a2a2fa64",
  "parents": [
    "731b5cfff1bc1f26154680e7f0a6dc46e996baf6"
  ],
  "author": {
    "name": "Alexander Bokov",
    "email": "alexanderbokov@google.com",
    "time": "Mon Aug 27 14:37:21 2018 -0700"
  },
  "committer": {
    "name": "Hui Su",
    "email": "huisu@google.com",
    "time": "Mon Sep 17 16:53:22 2018 +0000"
  },
  "message": "Add ML-based rectangular partition pruning\n\nAverage speed-up ranges from 5% to 6% on speed 0 depending on QP\n(measured on 16 lowres and midres clips).\n\nCoding efficiency impact is minor:\n\n                 |  avg_psnr  |  ovr_psnr  |   ssim\n------------------------------------------------------\nlowres (speed\u003d0) |   0.024%    |  0.023%   |  0.043%\n------------------------------------------------------\nmidres (speed\u003d0) |   0.030%    |  0.028%   |  0.011%\n------------------------------------------------------\nhdres (speed\u003d1)  |   0.028%    |  0.028%   |  0.033%\n------------------------------------------------------\n\nSTATS_CHANGED\n\nChange-Id: I0d5e91cbe056c6c4e904a68ea3d173191dfdd5ca\n",
  "tree_diff": [
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