ai.onnx.Expand / build /webgpu /bench.json
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{
"op": "ai.onnx.Expand",
"tunableSpace": { "WORKGROUP_SIZE": [64, 128, 256] },
"cases": [
{
"name": "expand-f32-1m",
"preset": "smoke",
"vars": { "dtype": "float32", "count": 1048576 },
"inputs": {
"input": { "shape": [1, 1024], "dtype": "float32", "dist": "normal", "seed": 860, "scale": 1 },
"shape": { "shape": [2], "dtype": "uint32", "data": { "kind": "values", "values": [1024, 1024] } }
},
"outputs": { "output": { "shape": [1024, 1024], "dtype": "float32" } },
"bench": {
"primary": true,
"metrics": [{ "type": "bandwidth", "value": "args.count * dtypeBytes(args.dtype) * 2" }]
}
},
{
"name": "expand-u32-bool-like-1m",
"preset": "edge",
"vars": { "dtype": "uint32", "count": 1048576 },
"inputs": {
"input": { "shape": [1, 1024], "dtype": "uint32", "dist": "linearMod", "mod": 2 },
"shape": { "shape": [2], "dtype": "uint32", "data": { "kind": "values", "values": [1024, 1024] } }
},
"outputs": { "output": { "shape": [1024, 1024], "dtype": "uint32" } },
"bench": { "metrics": [{ "type": "bandwidth", "value": "args.count * dtypeBytes(args.dtype) * 2" }] }
},
{
"name": "expand-f32-scalar-fallback-1m",
"preset": "stress",
"vars": { "dtype": "float32", "count": 1049600 },
"inputs": {
"input": { "shape": [1, 1025], "dtype": "float32", "dist": "normal", "seed": 42, "scale": 1 },
"shape": { "shape": [2], "dtype": "uint32", "data": { "kind": "values", "values": [1024, 1025] } }
},
"outputs": { "output": { "shape": [1024, 1025], "dtype": "float32" } },
"bench": { "metrics": [{ "type": "bandwidth", "value": "args.count * dtypeBytes(args.dtype) * 2" }] }
}
]
}