ai.onnx.Tan / build /webgpu /bench.json
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{
"op": "ai.onnx.Tan",
"cases": [
{
"name": "1m_f32",
"inputs": { "x": { "dtype": "float32", "shape": [1048576] } },
"outputs": { "y": { "dtype": "float32", "shape": [1048576] } }
},
{
"name": "tan-f32-1m-vec4",
"preset": "smoke",
"vars": { "dtype": "float32", "count": 1048576 },
"inputs": {
"x": { "shape": [1048576], "dtype": "float32", "dist": "uniform", "seed": 7101, "scale": 2.5, "offset": -1.25 }
},
"outputs": { "y": { "shape": [1048576], "dtype": "float32" } },
"bench": {
"primary": true,
"metrics": [{ "type": "bandwidth", "value": "args.count * dtypeBytes(args.dtype) * 2" }]
}
},
{
"name": "tan-f16-1m-vec4",
"preset": "smoke",
"vars": { "dtype": "float16", "count": 1048576 },
"inputs": {
"x": { "shape": [1048576], "dtype": "float16", "dist": "uniform", "seed": 7102, "scale": 2.5, "offset": -1.25 }
},
"outputs": { "y": { "shape": [1048576], "dtype": "float16" } },
"bench": { "metrics": [{ "type": "bandwidth", "value": "args.count * dtypeBytes(args.dtype) * 2" }] }
},
{
"name": "tan-f32-1m-plus-1-scalar-fallback",
"preset": "smoke",
"vars": { "dtype": "float32", "count": 1048577 },
"inputs": {
"x": { "shape": [1048577], "dtype": "float32", "dist": "uniform", "seed": 7103, "scale": 2.5, "offset": -1.25 }
},
"outputs": { "y": { "shape": [1048577], "dtype": "float32" } },
"bench": { "metrics": [{ "type": "bandwidth", "value": "args.count * dtypeBytes(args.dtype) * 2" }] }
},
{
"name": "tan-f16-1m-plus-1-scalar-fallback",
"preset": "smoke",
"vars": { "dtype": "float16", "count": 1048577 },
"inputs": {
"x": { "shape": [1048577], "dtype": "float16", "dist": "uniform", "seed": 7104, "scale": 2.5, "offset": -1.25 }
},
"outputs": { "y": { "shape": [1048577], "dtype": "float16" } },
"bench": { "metrics": [{ "type": "bandwidth", "value": "args.count * dtypeBytes(args.dtype) * 2" }] }
}
]
}