)]}'
{
  "commit": "d495a537360cdf48551a94dffe562ef97e3878fe",
  "tree": "6808d2cec9ac78effcf5a3ab702a9f1ceb2453eb",
  "parents": [
    "934cccb0ae697796206de737eb66a141dedc4431"
  ],
  "author": {
    "name": "Artem Gindinson",
    "email": "gindinson@roofline.ai",
    "time": "Fri Jul 10 13:24:42 2026 +0200"
  },
  "committer": {
    "name": "GitHub",
    "email": "noreply@github.com",
    "time": "Fri Jul 10 13:24:42 2026 +0200"
  },
  "message": "[Torch] Support explicit scale values from `tm_tensor.attention` (#24566)\n\nWith dynamically sized GQA, explicit scale settings show up in\nONNX/Torch models such as Qwen3. Consume scale values from TMTensor op\nwhen provided.\n\nDepends on llvm/torch-mlir#4593.\n\nSigned-off-by: Artem Gindinson \u003cgindinson@roofline.ai\u003e",
  "tree_diff": [
    {
      "type": "modify",
      "old_id": "85121b5cc48c92bfb5004a605a29a6398948e96d",
      "old_mode": 33188,
      "old_path": "compiler/plugins/input/Torch/InputConversion/ConvertTMTensorToLinalgExt.cpp",
      "new_id": "6dcffbc34ff434830d914ce06efdd7f72147d7bb",
      "new_mode": 33188,
      "new_path": "compiler/plugins/input/Torch/InputConversion/ConvertTMTensorToLinalgExt.cpp"
    },
    {
      "type": "modify",
      "old_id": "fd58364f3ac9e99357250438896d60129fed5d52",
      "old_mode": 33188,
      "old_path": "compiler/plugins/input/Torch/InputConversion/test/attention.mlir",
      "new_id": "fcb6f64f2f1fe299a96b7e0b4773e3f5b67afcfe",
      "new_mode": 33188,
      "new_path": "compiler/plugins/input/Torch/InputConversion/test/attention.mlir"
    }
  ]
}