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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)" }] }
    }
  ]
}