| { |
| "domain": "ai.onnx", |
| "name": "Mod", |
| "sinceVersion": 13, |
| "description": "Performs elementwise binary modulo on tensors `A` and `B` with multidirectional broadcasting. When `fmod` is `0` (default), applies Python-style `%` with the sign of the divisor; when `fmod` is `1`, applies C-style `fmod` with the sign of the dividend.", |
| "inputs": [ |
| { "role": "A", "dtype": "T", "description": "Dividend tensor." }, |
| { "role": "B", "dtype": "T", "description": "Divisor tensor." } |
| ], |
| "outputs": [ |
| { |
| "role": "C", |
| "dtype": "T", |
| "rank": "max(ranks.A, ranks.B)", |
| "description": "Remainder tensor; same shape as the broadcast result of A and B.", |
| "shape": "broadcastShape(shapes.A, shapes.B)" |
| } |
| ], |
| "attributes": { "fmod": 0 }, |
| "attributeDescriptions": { |
| "fmod": "Controls the modulo mode: `0` (default) uses Python-style integer mod (sign of divisor); `1` uses C-style `fmod` (sign of dividend, floating-point types only)." |
| }, |
| "attributeConstraints": { "fmod": { "values": [0, 1] } }, |
| "typeConstraints": { "T": ["float32", "float16", "int32", "uint32", "int16", "int8", "uint8"] }, |
| "args": { |
| "a": { "kind": "tensor", "semantic": "A", "role": "input" }, |
| "b": { "kind": "tensor", "semantic": "B", "role": "input" }, |
| "c": { "kind": "tensor", "semantic": "C", "role": "output" } |
| }, |
| "tunables": { "WORKGROUP_SIZE": 256 }, |
| "derive": { "floatFmodContract": "attrs.fmod != 0 or not (dtypes.T == \"f32\" or dtypes.T == \"f16\")" }, |
| "constants": { |
| "scalar": "dtypes.T", |
| "usesF16": "dtypes.T == \"f16\"", |
| "isU32": "dtypes.T == \"u32\"", |
| "isI32": "dtypes.T == \"i32\"", |
| "fmod": "attrs.fmod != 0" |
| }, |
| "variants": [ |
| { |
| "id": "last_axis_broadcast_vec4", |
| "priority": 25, |
| "when": ["ranks.C >= 1", "sameShape(shapes.A, shapes.C)", "ranks.B == 1", "dim(shapes.B, 0) == dim(shapes.C, ranks.C - 1)", "numel(shapes.C) > 0", "numel(shapes.C) % 4 == 0", "f16Ok(dtypes.T)", "floatFmodContract"], |
| "constants": { "vectorScalar": "\"vec4<\" ~ dtypes.T ~ \">\"" }, |
| "passes": [ |
| { |
| "id": "main", |
| "name": "Mod.lastAxisBroadcastVec4", |
| "source": { "shader": "mod-vec4.wgsl.jinja", "inputs": { "perAxisB": true, "axisDim": "dim(shapes.B, 0)" } }, |
| "bindings": [ |
| { |
| "name": "a", |
| "arg": "a", |
| "semantic": "A", |
| "buffer": { "type": "read-only-storage" }, |
| "elementType": "$vectorScalar" |
| }, |
| { |
| "name": "b", |
| "arg": "b", |
| "semantic": "B", |
| "buffer": { "type": "read-only-storage" }, |
| "elementType": "$scalar" |
| }, |
| { |
| "name": "c", |
| "arg": "c", |
| "semantic": "C", |
| "buffer": { "type": "storage" }, |
| "elementType": "$vectorScalar" |
| }, |
| { |
| "name": "params", |
| "semantic": "kernel.params", |
| "buffer": { "type": "uniform" }, |
| "struct": { |
| "name": "Params", |
| "fields": [{ "name": "count", "type": "u32", "value": "numel(shapes.C) / 4" }] |
| } |
| } |
| ], |
| "dispatch": { "threads": "numel(shapes.C) / 4", "workgroupSize": "tunables.WORKGROUP_SIZE" } |
| } |
| ] |
| }, |
| { |
| "id": "scalar_b_vec4", |
| "priority": 30, |
| "when": ["sameShape(shapes.A, shapes.C)", "numel(shapes.B) == 1", "numel(shapes.C) > 0", "numel(shapes.C) % 4 == 0", "f16Ok(dtypes.T)", "floatFmodContract"], |
| "constants": { "vectorScalar": "\"vec4<\" ~ dtypes.T ~ \">\"" }, |
| "passes": [ |
| { |
| "id": "main", |
| "name": "Mod.scalarBVec4", |
| "source": { "shader": "mod-vec4.wgsl.jinja", "inputs": { "scalarB": true } }, |
| "bindings": [ |
| { |
| "name": "a", |
| "arg": "a", |
| "semantic": "A", |
| "buffer": { "type": "read-only-storage" }, |
| "elementType": "$vectorScalar" |
| }, |
| { |
| "name": "b", |
| "arg": "b", |
| "semantic": "B", |
| "buffer": { "type": "read-only-storage" }, |
| "elementType": "$scalar", |
| "length": 1 |
| }, |
| { |
| "name": "c", |
| "arg": "c", |
| "semantic": "C", |
| "buffer": { "type": "storage" }, |
| "elementType": "$vectorScalar" |
| }, |
| { |
| "name": "params", |
| "semantic": "kernel.params", |
| "buffer": { "type": "uniform" }, |
| "struct": { |
| "name": "Params", |
| "fields": [{ "name": "count", "type": "u32", "value": "numel(shapes.C) / 4" }] |
| } |
| } |
| ], |
| "dispatch": { "threads": "numel(shapes.C) / 4", "workgroupSize": "tunables.WORKGROUP_SIZE" } |
| } |
| ] |
| }, |
| { |
| "id": "same_shape_vec4", |
| "priority": 26, |
| "when": ["sameShape(shapes.A, shapes.C)", "sameShape(shapes.B, shapes.C)", "numel(shapes.C) > 0", "numel(shapes.C) % 4 == 0", "f16Ok(dtypes.T)", "floatFmodContract"], |
| "constants": { "vectorScalar": "\"vec4<\" ~ dtypes.T ~ \">\"" }, |
| "passes": [ |
| { |
| "id": "main", |
| "name": "Mod.vec4", |
| "source": { "shader": "mod-vec4.wgsl.jinja", "inputs": {} }, |
| "bindings": [ |
| { |
| "name": "a", |
| "arg": "a", |
| "semantic": "A", |
| "buffer": { "type": "read-only-storage" }, |
| "elementType": "$vectorScalar" |
| }, |
| { |
| "name": "b", |
| "arg": "b", |
| "semantic": "B", |
| "buffer": { "type": "read-only-storage" }, |
| "elementType": "$vectorScalar" |
| }, |
| { |
| "name": "c", |
| "arg": "c", |
| "semantic": "C", |
| "buffer": { "type": "storage" }, |
| "elementType": "$vectorScalar" |
| }, |
| { |
| "name": "params", |
| "semantic": "kernel.params", |
| "buffer": { "type": "uniform" }, |
| "struct": { |
| "name": "Params", |
| "fields": [{ "name": "count", "type": "u32", "value": "numel(shapes.C) / 4" }] |
| } |
| } |
| ], |
| "dispatch": { "threads": "numel(shapes.C) / 4", "workgroupSize": "tunables.WORKGROUP_SIZE" } |
| } |
| ] |
| }, |
| { |
| "id": "broadcast", |
| "when": ["ranks.A >= 0", "ranks.B >= 0", "ranks.C >= 0", "ranks.A <= ranks.C", "ranks.B <= ranks.C", "f16Ok(dtypes.T)", "floatFmodContract"], |
| "passes": [ |
| { |
| "id": "main", |
| "name": "Mod", |
| "source": { |
| "shader": "mod.wgsl.jinja", |
| "inputs": { |
| "aShape": "shapes.A", |
| "bShape": "shapes.B", |
| "cShape": "shapes.C", |
| "aRank": "ranks.A", |
| "bRank": "ranks.B", |
| "cRank": "ranks.C" |
| } |
| }, |
| "bindings": [ |
| { |
| "name": "a", |
| "arg": "a", |
| "semantic": "A", |
| "buffer": { "type": "read-only-storage" }, |
| "elementType": "$scalar" |
| }, |
| { |
| "name": "b", |
| "arg": "b", |
| "semantic": "B", |
| "buffer": { "type": "read-only-storage" }, |
| "elementType": "$scalar" |
| }, |
| { "name": "c", "arg": "c", "semantic": "C", "buffer": { "type": "storage" }, "elementType": "$scalar" }, |
| { |
| "name": "params", |
| "semantic": "kernel.params", |
| "buffer": { "type": "uniform" }, |
| "struct": { "name": "Params", "fields": [{ "name": "count", "type": "u32", "value": "numel(shapes.C)" }] } |
| } |
| ], |
| "dispatch": { "threads": "numel(shapes.C)", "workgroupSize": "tunables.WORKGROUP_SIZE" } |
| } |
| ] |
| } |
| ] |
| } |
|
|
