| { |
| "op": "ai.onnx.Flatten", |
| "tunableSpace": { "WORKGROUP_SIZE": [64, 128, 256] }, |
| "cases": [ |
| { |
| "name": "flatten-f32-1m", |
| "preset": "smoke", |
| "vars": { "dtype": "float32", "count": 1048576 }, |
| "inputs": { "input": { "shape": [256, 4096], "dtype": "float32", "dist": "normal", "seed": 830, "scale": 1 } }, |
| "outputs": { "output": { "shape": [256, 4096], "dtype": "float32" } }, |
| "bench": { |
| "primary": true, |
| "metrics": [{ "type": "bandwidth", "value": "args.count * dtypeBytes(args.dtype) * 2" }] |
| } |
| }, |
| { |
| "name": "flatten-u32-bool-like-1m", |
| "preset": "edge", |
| "vars": { "dtype": "uint32", "count": 1048576 }, |
| "inputs": { "input": { "shape": [256, 4096], "dtype": "uint32", "dist": "linearMod", "mod": 2 } }, |
| "outputs": { "output": { "shape": [256, 4096], "dtype": "uint32" } }, |
| "bench": { "metrics": [{ "type": "bandwidth", "value": "args.count * dtypeBytes(args.dtype) * 2" }] } |
| }, |
| { |
| "name": "flatten-f32-16m", |
| "preset": "smoke", |
| "vars": { "dtype": "float32", "count": 16777216 }, |
| "inputs": { "input": { "shape": [4096, 4096], "dtype": "float32", "dist": "normal", "seed": 831, "scale": 1 } }, |
| "outputs": { "output": { "shape": [4096, 4096], "dtype": "float32" } }, |
| "bench": { "metrics": [{ "type": "bandwidth", "value": "args.count * dtypeBytes(args.dtype) * 2" }] } |
| }, |
| { |
| "name": "flatten-f32-scalar-copy-1m-odd", |
| "preset": "edge", |
| "attrs": { "axis": 1 }, |
| "vars": { "dtype": "float32", "count": 1048577 }, |
| "inputs": { "input": { "shape": [1, 1048577], "dtype": "float32", "dist": "normal", "seed": 832, "scale": 1 } }, |
| "outputs": { "output": { "shape": [1, 1048577], "dtype": "float32", "dist": "empty" } }, |
| "bench": { "metrics": [{ "type": "bandwidth", "value": "args.count * dtypeBytes(args.dtype) * 2" }] } |
| } |
| ] |
| } |
|
|
