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{
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      "name": "reduce-prod-axis0-1024x512",
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      "outputs": { "y": { "dtype": "float32", "shape": [1024] } }
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      "name": "reduceprod-r3-last-64x64x4096",
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      "inputs": { "x": { "shape": [64, 64, 4096], "dtype": "float32", "dist": "normal", "seed": 73, "scale": 0.001 } },
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    },
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      "name": "axis0-large-65536x512",
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      "inputs": {
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      "bench": { "primary": true, "metrics": [{ "type": "bandwidth", "value": "args.rows * args.cols * 4" }] }
    },
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      "name": "axis0-tall-16384x1024",
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      "vars": { "rows": 16384, "cols": 1024 },
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      "inputs": {
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      "bench": { "primary": true, "metrics": [{ "type": "bandwidth", "value": "args.rows * args.cols * 4" }] }
    },
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      "name": "reduceprod-lastaxis-scalar-f32-2048x4095",
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      "inputs": {
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      "bench": { "metrics": [{ "type": "bandwidth", "value": "args.rows * args.cols * dtypeBytes(args.dtype)" }] }
    },
    {
      "name": "reduceprod-r3-mid-axis1-64x256x4096",
      "preset": "stress",
      "provenance": { "notes": "Stress-only capacity case: declared tensors occupy 257 MiB of GPU storage." },
      "vars": { "dtype": "float32", "d0": 64, "d1": 256, "d2": 4096 },
      "attrs": { "axes": [1], "keepdims": 0 },
      "inputs": {
        "x": {
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          "dtype": "float32",
          "dist": "normal",
          "seed": 421,
          "scale": 0.001,
          "offset": 1
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      },
      "outputs": { "y": { "shape": [64, 4096], "dtype": "float32" } },
      "bench": { "metrics": [{ "type": "bandwidth", "value": "args.d0 * args.d1 * args.d2 * dtypeBytes(args.dtype)" }] }
    },
    {
      "name": "reduceprod-tree-i32-lastaxis-256x4096",
      "preset": "smoke",
      "vars": { "dtype": "int32", "rows": 256, "cols": 4096 },
      "attrs": { "axes": [1], "keepdims": 0 },
      "inputs": { "x": { "shape": [256, 4096], "dtype": "int32", "dist": "uniform", "seed": 423, "min": 0, "max": 2 } },
      "outputs": { "y": { "shape": [256], "dtype": "int32" } },
      "bench": { "metrics": [{ "type": "bandwidth", "value": "args.rows * args.cols * dtypeBytes(args.dtype)" }] }
    },
    {
      "name": "reduceprod-fullreduce-r3-256x256x256-keepdims",
      "preset": "smoke",
      "vars": { "rows": 65536, "cols": 256 },
      "attrs": { "keepdims": 1 },
      "inputs": {
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          "dtype": "float32",
          "dist": "uniform",
          "seed": 511,
          "scale": 0.001,
          "offset": 0.9995
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      "outputs": { "y": { "shape": [1, 1, 1], "dtype": "float32" } },
      "bench": { "metrics": [{ "type": "bandwidth", "value": "args.rows * args.cols * 4" }] }
    },
    {
      "name": "tree-per-row-cliff-f32-lastaxis-524288x64",
      "preset": "stress",
      "vars": { "dtype": "float32", "rows": 524288, "cols": 64 },
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      "bench": { "metrics": [{ "type": "bandwidth", "value": "args.rows * args.cols * dtypeBytes(args.dtype)" }] }
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      "attrs": { "axes": [-1], "keepdims": 0 },
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        "x": { "shape": [8192, 1024], "dtype": "float32", "dist": "normal", "seed": 8821, "scale": 0.001, "offset": 1 }
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      "provenance": { "notes": "An 8192-by-1024 matrix measures many independent last-axis products." }
    },
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      "name": "reduceprod-tree-boundary-4096x1024",
      "preset": "stress",
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        "notes": "A 4096-by-1024 tensor measures independent last-axis products at half the row count of the adjacent 8192-row case."
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    },
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      "name": "i32-fullreduce-single-lane-64x64x8-keepdims",
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      "vars": { "dtype": "int32", "numel": 32768 },
      "attrs": { "keepdims": 1 },
      "inputs": {
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      "bench": { "metrics": [{ "type": "bandwidth", "value": "args.numel * dtypeBytes(args.dtype)" }] }
    },
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      "name": "reduceprod-rank3-spatial-axes12-f32-128x256x256-pathology",
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      "provenance": {
        "source": "synthetic",
        "notes": "Rank-3 multi-axis reduction with 128 output lanes, each serially scanning a 256x256 plane. Inputs stay close to one so the long product remains finite."
      },
      "attrs": { "axes": [1, 2], "keepdims": 1 },
      "inputs": {
        "x": {
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          "dtype": "float32",
          "dist": "uniform",
          "seed": 909,
          "scale": 0.0002,
          "offset": 0.9999
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      "bench": { "primary": true, "metrics": [{ "type": "bandwidth", "value": "128 * 256 * 256 * 4" }] }
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      "name": "reduceprod-rank4-spatial-axes23-f32-2x64x256x256-pathology",
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        "notes": "Rank-4 multi-axis reduction with 128 output lanes, each serially scanning a 256x256 plane. Inputs stay close to one so the long product remains finite."
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      "name": "reduceprod-axis0-f32-131072x15-narrow-splitk-boundary",
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  "tunableSpace": { "WORKGROUP_SIZE": [64, 128, 256] }
}