| { |
| "op": "ai.onnx.Upsample", |
| "tunableSpace": { "WORKGROUP_SIZE": [64, 128, 256] }, |
| "cases": [ |
| { |
| "name": "nearest-2x-256x256-f32", |
| "attrs": { "mode": "nearest" }, |
| "inputs": { |
| "x": { "dtype": "float32", "shape": [1, 3, 256, 256] }, |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 1.0, 2.0, 2.0] } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 3, 512, 512] } }, |
| "bench": { |
| "primary": true, |
| "metrics": [{ "type": "bandwidth", "value": "(numel(shapes.x) + numel(shapes.y)) * 4" }] |
| } |
| }, |
| { |
| "name": "linear-2x-256x256-f32", |
| "attrs": { "mode": "linear" }, |
| "inputs": { |
| "x": { "dtype": "float32", "shape": [1, 3, 256, 256] }, |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 1.0, 2.0, 2.0] } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 3, 512, 512] } }, |
| "bench": { |
| "primary": true, |
| "metrics": [{ "type": "bandwidth", "value": "(numel(shapes.x) + numel(shapes.y)) * 4" }] |
| } |
| }, |
| { |
| "name": "nearest-1point5x-fallback-256x256-f32", |
| "attrs": { "mode": "nearest" }, |
| "inputs": { |
| "x": { "dtype": "float32", "shape": [1, 3, 256, 256] }, |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 1.0, 1.5, 1.5] } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 3, 384, 384] } }, |
| "bench": { |
| "primary": true, |
| "metrics": [{ "type": "bandwidth", "value": "(numel(shapes.x) + numel(shapes.y)) * 4" }] |
| } |
| }, |
| { |
| "name": "nearest-2x-alignment-cliff-510w-f32", |
| "preset": "smoke", |
| "attrs": { "mode": "nearest" }, |
| "inputs": { |
| "x": { "dtype": "float32", "shape": [1, 3, 256, 255] }, |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 1.0, 2.0, 2.0] } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 3, 512, 510] } }, |
| "bench": { "metrics": [{ "type": "bandwidth", "value": "(numel(shapes.x) + numel(shapes.y)) * 4" }] } |
| }, |
| { |
| "name": "linear-2x-alignment-cliff-514w-f32", |
| "preset": "smoke", |
| "attrs": { "mode": "linear" }, |
| "inputs": { |
| "x": { "dtype": "float32", "shape": [1, 3, 256, 257] }, |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 1.0, 2.0, 2.0] } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 3, 512, 514] } }, |
| "bench": { "metrics": [{ "type": "bandwidth", "value": "(numel(shapes.x) + numel(shapes.y)) * 4" }] } |
| }, |
| { |
| "name": "nearest-2x-256x256-f16", |
| "preset": "smoke", |
| "attrs": { "mode": "nearest" }, |
| "inputs": { |
| "x": { "dtype": "float16", "shape": [1, 3, 256, 256] }, |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 1.0, 2.0, 2.0] } } |
| }, |
| "outputs": { "y": { "dtype": "float16", "shape": [1, 3, 512, 512] } }, |
| "bench": { "metrics": [{ "type": "bandwidth", "value": "(numel(shapes.x) + numel(shapes.y)) * 2" }] } |
| }, |
| { |
| "name": "linear-2x-256x256-f16", |
| "preset": "smoke", |
| "attrs": { "mode": "linear" }, |
| "inputs": { |
| "x": { "dtype": "float16", "shape": [1, 3, 256, 256] }, |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [1.0, 1.0, 2.0, 2.0] } } |
| }, |
| "outputs": { "y": { "dtype": "float16", "shape": [1, 3, 512, 512] } }, |
| "bench": { "metrics": [{ "type": "bandwidth", "value": "(numel(shapes.x) + numel(shapes.y)) * 2" }] } |
| }, |
| { |
| "name": "linear-3d-ncdhw-2x-generic-f32", |
| "preset": "stress", |
| "attrs": { "mode": "linear" }, |
| "inputs": { |
| "x": { "dtype": "float32", "shape": [1, 2, 32, 32, 32], "dist": "normal", "seed": 101, "scale": 2 }, |
| "scales": { |
| "dtype": "float32", |
| "shape": [5], |
| "data": { "kind": "values", "values": [1.0, 1.0, 2.0, 2.0, 2.0] } |
| } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [1, 2, 64, 64, 64] } }, |
| "bench": { "metrics": [{ "type": "bandwidth", "value": "(numel(shapes.x) + numel(shapes.y)) * 4" }] } |
| }, |
| { |
| "name": "linear-rank4-nchw-scaled-generic-16tap-f32", |
| "preset": "stress", |
| "attrs": { "mode": "linear" }, |
| "inputs": { |
| "x": { "dtype": "float32", "shape": [1, 1, 128, 128], "dist": "normal", "seed": 202, "scale": 2 }, |
| "scales": { "dtype": "float32", "shape": [4], "data": { "kind": "values", "values": [2.0, 2.0, 2.0, 2.0] } } |
| }, |
| "outputs": { "y": { "dtype": "float32", "shape": [2, 2, 256, 256] } }, |
| "bench": { "metrics": [{ "type": "bandwidth", "value": "(numel(shapes.x) + numel(shapes.y)) * 4" }] } |
| } |
| ] |
| } |
|
|