| { |
| "op": "ai.onnx.Dropout", |
| "cases": [ |
| { |
| "name": "f32_16m", |
| "preset": "smoke", |
| "inputs": { "x": { "dtype": "float32", "shape": [16777216], "dist": "normal", "seed": 771, "scale": 1 } }, |
| "outputs": { "y": { "dtype": "float32", "shape": [16777216] } }, |
| "bench": { "primary": true, "metrics": [{ "type": "bandwidth", "value": "16777216 * 4 * 2" }] } |
| }, |
| { |
| "name": "f32_1m", |
| "preset": "smoke", |
| "inputs": { "x": { "dtype": "float32", "shape": [1048576] } }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1048576] } }, |
| "bench": { "metrics": [{ "type": "bandwidth", "value": "(numel(shapes.x) + numel(shapes.y)) * 4" }] } |
| }, |
| { |
| "name": "f32_scalar_path_non_aligned", |
| "preset": "edge", |
| "inputs": { "x": { "dtype": "float32", "shape": [16777213], "dist": "normal", "seed": 883, "scale": 1 } }, |
| "outputs": { "y": { "dtype": "float32", "shape": [16777213] } }, |
| "bench": { "metrics": [{ "type": "bandwidth", "value": "16777213 * 4 * 2" }] } |
| } |
| ] |
| } |
|
|
