ai.onnx.Mean / build /webgpu /bench.json
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{
"tunableSpace": { "WORKGROUP_SIZE": [64, 128, 256] },
"cases": [
{
"name": "mean-f32-4m",
"preset": "smoke",
"vars": { "dtype": "float32", "count": 4194304 },
"inputs": {
"a": { "dtype": "float32", "shape": [4194304], "dist": "normal", "seed": 802, "scale": 2 },
"b": { "dtype": "float32", "shape": [4194304], "dist": "normal", "seed": 803, "scale": 2 }
},
"outputs": { "y": { "dtype": "float32", "shape": [4194304] } },
"bench": {
"primary": true,
"metrics": [{ "type": "bandwidth", "value": "args.count * dtypeBytes(args.dtype) * 3" }]
}
},
{
"name": "mean-f32-broadcast-scalar-4m-unaligned",
"preset": "stress",
"vars": { "dtype": "float32", "count": 4194302 },
"inputs": {
"a": { "dtype": "float32", "shape": [4194302], "dist": "normal", "seed": 811, "scale": 2 },
"b": { "dtype": "float32", "shape": [4194302], "dist": "normal", "seed": 812, "scale": 2 }
},
"outputs": { "y": { "dtype": "float32", "shape": [4194302] } },
"bench": { "metrics": [{ "type": "bandwidth", "value": "args.count * dtypeBytes(args.dtype) * 3" }] }
}
]
}