ai.onnx.EyeLike / build /webgpu /bench.json
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{
"op": "ai.onnx.EyeLike",
"cases": [
{
"name": "eyelike-f32-2048-square",
"inputs": { "input": { "dtype": "float32", "shape": [2048, 2048] } },
"outputs": { "output": { "dtype": "float32", "shape": [2048, 2048] } }
},
{
"name": "eyelike-f32-4097-square-tail-healthy",
"preset": "smoke",
"vars": { "dtype": "float32", "count": 16785409 },
"inputs": { "input": { "dtype": "float32", "shape": [4097, 4097] } },
"outputs": { "output": { "dtype": "float32", "shape": [4097, 4097] } },
"bench": { "primary": true, "metrics": [{ "type": "bandwidth", "value": "args.count * dtypeBytes(args.dtype)" }] }
},
{
"name": "eyelike-f16-4096-square-narrow-store",
"preset": "smoke",
"vars": { "dtype": "float16", "count": 16777216 },
"inputs": { "input": { "dtype": "float16", "shape": [4096, 4096] } },
"outputs": { "output": { "dtype": "float16", "shape": [4096, 4096] } },
"bench": { "metrics": [{ "type": "bandwidth", "value": "args.count * dtypeBytes(args.dtype)" }] }
},
{
"name": "eyelike-int8-4096-square-word-store-pathology",
"preset": "smoke",
"vars": { "dtype": "int8", "count": 16777216 },
"inputs": { "input": { "dtype": "int8", "shape": [4096, 4096] } },
"outputs": { "output": { "dtype": "int8", "shape": [4096, 4096] } },
"bench": { "metrics": [{ "type": "bandwidth", "value": "args.count * 4" }] }
},
{
"name": "eyelike-f32-134m-2dfold-dispatch-cliff",
"preset": "stress",
"provenance": { "notes": "Stress-only capacity case: the input and output together occupy 1 GiB of GPU storage." },
"vars": { "dtype": "float32", "count": 134217728 },
"inputs": { "input": { "dtype": "float32", "shape": [16384, 8192] } },
"outputs": { "output": { "dtype": "float32", "shape": [16384, 8192] } },
"bench": { "metrics": [{ "type": "bandwidth", "value": "args.count * dtypeBytes(args.dtype)" }] }
},
{
"name": "eyelike-f32-8192-square-long-context-mask",
"preset": "stress",
"vars": { "dtype": "float32", "count": 67108864 },
"inputs": { "input": { "dtype": "float32", "shape": [8192, 8192] } },
"outputs": { "output": { "dtype": "float32", "shape": [8192, 8192] } },
"bench": { "primary": true, "metrics": [{ "type": "bandwidth", "value": "args.count * dtypeBytes(args.dtype)" }] }
}
]
}