)]}'
{
  "commit": "f1342a7b070ef61b9fbdf03e899ac2107cfcb6bd",
  "tree": "5efe375867d31ec2c01394ee74386912f507cd96",
  "parents": [
    "965a8dea0bab30e2003e70305ca70abb09b7845d"
  ],
  "author": {
    "name": "Geza Lore",
    "email": "gezalore@gmail.com",
    "time": "Wed Oct 28 14:35:04 2015 +0000"
  },
  "committer": {
    "name": "Geza Lore",
    "email": "gezalore@gmail.com",
    "time": "Thu Nov 05 10:02:17 2015 +0000"
  },
  "message": "Add AVX vectorized vp9_diamond_search_sad\n\nThis function now has an AVX intrinsics version which is about 80%\nfaster compared to the C implementation. This provides a 2-4% total\nspeed-up for encode, depending on encoding parameters. The function\nutilizes 3 properties of the cost function lookup table, constructed\nin \u0027cal_nmvjointsadcost\u0027 and \u0027cal_nmvsadcosts\u0027.\nFor the joint cost:\n  - mvjointsadcost[1] \u003d\u003d mvjointsadcost[2] \u003d\u003d mvjointsadcost[3]\nFor the component costs:\n  - For all i: mvsadcost[0][i] \u003d\u003d mvsadcost[1][i]\n        (equal per component cost)\n  - For all i: mvsadcost[0][i] \u003d\u003d mvsadcost[0][-i]\n        (Cost function is even)\nThese must hold, otherwise the AVX version of the function cannot be used.\n\nChange-Id: I184055b864c5a2dc37b2d8c5c9012eb801e9daf6\n",
  "tree_diff": [
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