)]}'
{
  "commit": "c066ceb0b9c0de6608d8ac33c4fd960af73d9ee2",
  "tree": "9204f7c63678aca0d945da32cb7af3f246c51f53",
  "parents": [
    "21566f6c43aae08f1c89eee6d0a1e6585774babb"
  ],
  "author": {
    "name": "harsh-nod",
    "email": "harsh@nod-labs.com",
    "time": "Wed Feb 14 13:48:58 2024 -0800"
  },
  "committer": {
    "name": "GitHub",
    "email": "noreply@github.com",
    "time": "Wed Feb 14 13:48:58 2024 -0800"
  },
  "message": "Turn on SLPVectorizer for ROCM backend (#16412)\n\nWhile the SLPVectorizer will not help for tensor core type instructions,\r\nit can still be helpful for combining scalar elementwise instructions\r\ninto vector instructions. We turn this on for specifically this use-case\r\nwhen generating AMDGCN ISA.",
  "tree_diff": [
    {
      "type": "modify",
      "old_id": "ef66f252594f7612d1f96ba1bbb40571d03dd9f6",
      "old_mode": 33188,
      "old_path": "compiler/plugins/target/ROCM/ROCMTarget.cpp",
      "new_id": "ad016b6e78dbcea79e16021ded8960698dc7ed8b",
      "new_mode": 33188,
      "new_path": "compiler/plugins/target/ROCM/ROCMTarget.cpp"
    }
  ]
}