)]}'
{
  "commit": "388e65c2fd0f1e6cf362b2d73c87cac1e3629bdf",
  "tree": "82997d1c001c1deb5fe5d508ade6fb24f6b733ac",
  "parents": [
    "3fd498c00d0dec30c179864178715753f536a599"
  ],
  "author": {
    "name": "ziereis",
    "email": "44057120+ziereis@users.noreply.github.com",
    "time": "Mon Oct 12 11:54:46 2026 +0200"
  },
  "committer": {
    "name": "GitHub",
    "email": "noreply@github.com",
    "time": "Mon Oct 12 09:54:46 2026 +0000"
  },
  "message": "[GlobalOptimization] Propagate affine QDQ through tensor operations (#24906)\n\nThe integer contraction rewrite from #24902 needs dequantize_affine to\nbe the direct producer of a contraction operand. This PR adds\nPropagateAffineQuantization, which moves the tensor ops in between onto\nthe quantized side, where they also operate on narrower data. It runs\nright before each integer QDQ rewrite.\n\nIt perform the following transformations:\n\n```\nquantize(collapse_shape(x))   -\u003e  collapse_shape(quantize(x))\nexpand_shape(dequantize(q))   -\u003e  dequantize(expand_shape(q))\npad(dequantize(q), 0.0)       -\u003e  dequantize(pad(q, zp))\ntranspose(dequantize(q))      -\u003e  dequantize(q) with its output map permuted\n```\n\nPart of #24862\n\nAssisted By: Claude Code\n\n---------\n\nSigned-off-by: Thomas Ziereis \u003cziereis@roofline.ai\u003e\nCo-authored-by: Claude Opus 5.5 \u003cnoreply@anthropic.com\u003e",
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