ai.onnx.LRN / build /webgpu /bench.json
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{
"op": "ai.onnx.LRN",
"cases": [
{
"name": "nchw_8_64_32_32",
"attrs": { "alpha": 0.0001, "beta": 0.75, "bias": 1, "size": 5 },
"inputs": { "x": { "dtype": "float32", "shape": [8, 64, 32, 32] } },
"outputs": { "y": { "dtype": "float32", "shape": [8, 64, 32, 32] } }
},
{
"name": "nchw_8_96_64_64_vec4w",
"preset": "smoke",
"attrs": { "alpha": 0.0001, "beta": 0.75, "bias": 1, "size": 5 },
"vars": { "numel": 3145728 },
"inputs": { "x": { "dtype": "float32", "shape": [8, 96, 64, 64], "dist": "normal", "seed": 301 } },
"outputs": { "y": { "dtype": "float32", "shape": [8, 96, 64, 64], "dist": "empty" } },
"bench": { "primary": true, "metrics": [{ "type": "bandwidth", "value": "args.numel * 4 * 2" }] }
},
{
"name": "nchw_scalar_path_unaligned_width_w6_stress",
"preset": "stress",
"attrs": { "alpha": 0.0001, "beta": 0.75, "bias": 1, "size": 5 },
"vars": { "numel": 1179648 },
"inputs": { "x": { "dtype": "float32", "shape": [8, 96, 256, 6], "dist": "normal", "seed": 4201, "scale": 1 } },
"outputs": { "y": { "dtype": "float32", "shape": [8, 96, 256, 6], "dist": "empty" } },
"bench": { "metrics": [{ "type": "bandwidth", "value": "args.numel * 4 * 2" }] }
}
],
"tunableSpace": { "WORKGROUP_SIZE": [64, 128, 256] }
}