)]}'
{
  "commit": "7fd5f9a6831e0f497b611d3e77095db51ec810fe",
  "tree": "a4f3f2df918cce40ea42000633e7d8d5ba1fe20a",
  "parents": [
    "ec6edc56575b11dbec3df2a6c84822458518240a"
  ],
  "author": {
    "name": "maxbartel",
    "email": "bartel@roofline.ai",
    "time": "Mon Oct 05 14:38:54 2026 +0200"
  },
  "committer": {
    "name": "GitHub",
    "email": "noreply@github.com",
    "time": "Mon Oct 05 14:38:54 2026 +0200"
  },
  "message": "[DispatchCreation] Normalize contraction dimensions outside dispatches (#24965)\n\nContractions with several contiguous M, N, K or batch dimensions can\nmiss data-tiling encodings because dimension collapsing currently runs\ninside dispatches.\n\nAdd a function pass that reuses the existing collapse rules outside\ndispatches and restores the original tensor shapes at the op boundaries.\nLeave existing dispatches (regions and workgroups) and ops with a preset\ncompilation info or lowering config alone, since those configurations\nrefer to the original loops.\n\nNo pipeline runs the pass yet. #24969 adds it to the experimental early\ndata-tiling route.\n\nThis is one of five PRs adding an experimental CPU path that\nmaterializes data-tiling layouts before dispatch creation, so that\n`linalg.mmt4d` and data-tiled convolutions fuse with their elementwise\nepilogues and result unpacks.\n\nAssisted by AI.",
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