| { |
| "domain": "ai.onnx", |
| "name": "Loop", |
| "conformance": "internal-lowering", |
| "sinceVersion": 25, |
| "inputs": { |
| "m": { "onnx": "M", "dtype": "I" }, |
| "cond": { "dtype": "B" }, |
| "v_initial": { "dtype": "T", "rank": 1 }, |
| "step": { "dtype": "T", "rank": 1 } |
| }, |
| "outputs": { |
| "v_final": { "dtype": "T", "rank": 1, "shape": "shapes.v_initial" }, |
| "scan_output": { "dtype": "T", "rank": 2 } |
| }, |
| "typeConstraints": { "T": ["float32"], "I": ["uint32"], "B": ["uint32", "bool"] }, |
| "variants": [ |
| { |
| "id": "lowered_add_step", |
| "when": ["ranks.m <= 1", "numel(shapes.m) == 1", "ranks.cond <= 1", "numel(shapes.cond) == 1", "ranks.v_initial == 1", "ranks.step == 1", "ranks.v_final == 1", "ranks.scan_output == 2", "dim(shapes.step, 0) == dim(shapes.v_initial, 0)", "dim(shapes.v_final, 0) == dim(shapes.v_initial, 0)", "dim(shapes.scan_output, 1) == dim(shapes.v_initial, 0)"], |
| "derive": { "dimBlocks": "ceil(dim(shapes.v_initial, 0) / 256)" }, |
| "passes": [ |
| { |
| "id": "main", |
| "name": "Loop", |
| "shader": "loop-add-step.wgsl.jinja", |
| "bindings": [ |
| { "arg": "m", "elementType": "u32", "length": 1 }, |
| { "arg": "cond", "elementType": "u32", "length": 1 }, |
| { "arg": "v_initial", "elementType": "f32" }, |
| { "arg": "step", "elementType": "f32" }, |
| { "arg": "v_final", "elementType": "f32" }, |
| { "arg": "scan_output", "elementType": "f32" }, |
| { |
| "name": "params", |
| "struct": [ |
| { "name": "dim", "type": "u32", "value": "dim(shapes.v_initial, 0)" }, |
| { "name": "scanSteps", "type": "u32", "value": "dim(shapes.scan_output, 0)" } |
| ] |
| } |
| ], |
| "dispatch": { "x": "dimBlocks" } |
| } |
| ] |
| } |
| ] |
| } |
|
|
