{ "domain": "com.microsoft", "name": "SkipSimplifiedLayerNormalization", "sinceVersion": 1, "inputs": { "inputT": { "onnx": "input", "dtype": "T" }, "skipT": { "onnx": "skip", "dtype": "T" }, "gammaT": { "onnx": "gamma", "dtype": "T", "rank": 1 }, "biasT": { "onnx": "bias", "dtype": "T", "rank": 1, "optional": true } }, "outputs": { "outputT": { "onnx": "output", "dtype": "T", "rank": "ranks.inputT", "shape": "shapes.inputT" }, "residualT": { "onnx": "input_skip_bias_sum", "dtype": "T", "rank": "ranks.inputT", "optional": true, "shape": "shapes.inputT" } }, "attributes": { "epsilon": { "default": 9.999999960041972e-13 } }, "typeConstraints": { "T": ["float32", "float16"] }, "tunables": { "MAX_WORKGROUP_SIZE": { "default": 256 } }, "derive": { "rowCount": "numel(shapes.inputT) / max(1, dim(shapes.inputT, -1))", "hiddenSize": "dim(shapes.inputT, -1)", "skipWg": "max(1, min(tunables.MAX_WORKGROUP_SIZE, device.limits.maxComputeInvocationsPerWorkgroup, device.limits.maxComputeWorkgroupSizeX, pow2ceil(hiddenSize)))", "skipWgVec4": "max(1, min(tunables.MAX_WORKGROUP_SIZE, device.limits.maxComputeInvocationsPerWorkgroup, device.limits.maxComputeWorkgroupSizeX, pow2ceil(ceilDiv(hiddenSize, 4))))", "rowDispatchFits": "rowCount <= min(device.limits.maxComputeWorkgroupsPerDimension, 65535) * min(device.limits.maxComputeWorkgroupsPerDimension, 65535)", "normResourcesFit": "skipWg * 8 <= device.limits.maxComputeWorkgroupStorageSize and skipWgVec4 * 8 <= device.limits.maxComputeWorkgroupStorageSize", "epsilonOk": "attrs.epsilon >= 0", "coreContract": "epsilonOk and (ranks.inputT == 2 or ranks.inputT == 3) and ranks.skipT == ranks.inputT and ranks.gammaT == 1 and ranks.outputT == ranks.inputT and sameShape(shapes.inputT, shapes.skipT) and sameShape(shapes.outputT, shapes.inputT) and dim(shapes.inputT, -1) > 0 and dim(shapes.gammaT, 0) == dim(shapes.inputT, -1)", "residualOutputContract": "present.residualT and sameShape(shapes.residualT, shapes.inputT)", "outputOnlyContract": "not present.residualT", "f32MainDtypes": "tensorDtypes.inputT == \"float32\" and tensorDtypes.skipT == \"float32\" and tensorDtypes.gammaT == \"float32\" and tensorDtypes.outputT == \"float32\"", "f16MainDtypes": "tensorDtypes.inputT == \"float16\" and tensorDtypes.skipT == \"float16\" and tensorDtypes.gammaT == \"float16\" and tensorDtypes.outputT == \"float16\"", "f32ResidualDtypes": "f32MainDtypes and tensorDtypes.residualT == \"float32\" if present.residualT else false", "f16ResidualDtypes": "f16MainDtypes and tensorDtypes.residualT == \"float16\" if present.residualT else false", "vec4Aligned": "dim(shapes.inputT, -1) % 4 == 0", "hasSubgroups": "device.features.has(\"subgroups\") and device.wgslLanguageFeatures.has(\"subgroup_id\")", "hasF16": "device.features.has(\"shader-f16\")", "no_bias_contract": "not present.biasT", "f32_bias_contract": "false if not present.biasT else (ranks.biasT == 1 and tensorDtypes.biasT == \"float32\" and dim(shapes.biasT, 0) == hiddenSize)", "f16_bias_contract": "false if not present.biasT else (ranks.biasT == 1 and tensorDtypes.biasT == \"float16\" and dim(shapes.biasT, 0) == hiddenSize)", "f32_no_bias_residual_contract": "coreContract and residualOutputContract and f32ResidualDtypes and no_bias_contract", "f32_bias_residual_contract": "coreContract and residualOutputContract and f32ResidualDtypes and f32_bias_contract", "f16_no_bias_residual_contract": "hasF16 and coreContract and residualOutputContract and f16ResidualDtypes and no_bias_contract", "f16_bias_residual_contract": "hasF16 and coreContract and residualOutputContract and f16ResidualDtypes and f16_bias_contract", "f32_no_bias_output_contract": "coreContract and outputOnlyContract and f32MainDtypes and no_bias_contract", "f32_bias_output_contract": "coreContract and outputOnlyContract and f32MainDtypes and f32_bias_contract", "f16_no_bias_output_contract": "hasF16 and coreContract and outputOnlyContract and f16MainDtypes and no_bias_contract", "f16_bias_output_contract": "hasF16 and coreContract and outputOnlyContract and f16MainDtypes and f16_bias_contract" }, "when": ["normResourcesFit", "rowDispatchFits"], "bindings": { "input": { "arg": "inputT", "buffer": "read-only-storage", "elementType": "$vectorScalar" }, "skip": { "arg": "skipT", "buffer": "read-only-storage", "elementType": "$vectorScalar" }, "gamma": { "arg": "gammaT", "buffer": "read-only-storage", "elementType": "$vectorScalar", "length": "$HIDDEN_LEN" }, "output": { "arg": "outputT", "buffer": "storage", "elementType": "$vectorScalar" }, "input_skip_bias_sum": { "arg": "residualT", "buffer": "storage", "elementType": "$vectorScalar" }, "params": { "buffer": "uniform", "struct": [ { "name": "rows", "type": "u32", "value": "rowCount" }, { "name": "rowStride", "type": "u32", "value": "max(1, min(rowCount, min(device.limits.maxComputeWorkgroupsPerDimension, 65535)))" }, { "name": "epsilon", "type": "f32", "value": "attrs.epsilon" } ] }, "bias": { "arg": "biasT", "buffer": "read-only-storage", "elementType": "$vectorScalar", "length": "$HIDDEN_LEN" }, "input_2": { "arg": "inputT", "name": "input", "buffer": "read-only-storage", "elementType": "$scalar" }, "skip_2": { "arg": "skipT", "name": "skip", "buffer": "read-only-storage", "elementType": "$scalar" }, "gamma_2": { "arg": "gammaT", "name": "gamma", "buffer": "read-only-storage", "elementType": "$scalar", "length": "$HIDDEN_LEN" }, "output_2": { "arg": "outputT", "name": "output", "buffer": "storage", "elementType": "$scalar" }, "input_skip_bias_sum_2": { "arg": "residualT", "name": "input_skip_bias_sum", "buffer": "storage", "elementType": "$scalar" }, "params_2": { "name": "params", "buffer": "uniform", "struct": [ { "name": "rows", "type": "u32", "value": "rowCount" }, { "name": "epsilon", "type": "f32", "value": "attrs.epsilon" } ] }, "bias_2": { "arg": "biasT", "name": "bias", "buffer": "read-only-storage", "elementType": "$scalar", "length": "$HIDDEN_LEN" } }, "variants": [ { "id": "no_bias_vec4_f16", "priority": 21, "when": ["f16_no_bias_residual_contract", "vec4Aligned"], "derive": { "scalar": "\"f16\"", "vectorScalar": "\"vec4\"", "hasBias": "\"no_bias\" == \"bias\"", "HIDDEN_LEN": "hiddenSize / 4" }, "passes": [ { "id": "main", "name": "SkipSimplifiedLayerNormalization.Vec4", "shader": "norm-skip-row-vec4.wgsl.jinja", "derive": { "simplified": true, "hasBias": "\"no_bias\" == \"bias\"", "hasBeta": false, "writeResidualSum": true, "usesF16Spec": true, "hidden": "hiddenSize", "hiddenVec": "hiddenSize / 4", "wg": "skipWgVec4", "vecType": "\"vec4\"", "useSubgroups": "hasSubgroups" }, "bindings": ["input", "skip", "gamma", "output", "input_skip_bias_sum", "params"], "dispatch": { "x": "min(rowCount, 65535)", "y": "ceilDiv(rowCount, 65535)", "z": 1 }, "subgroupCollectivesWidth": "portable" } ] }, { "id": "no_bias_vec4", "priority": 20, "when": ["f32_no_bias_residual_contract", "vec4Aligned"], "derive": { "scalar": "\"f32\"", "vectorScalar": "\"vec4\"", "hasBias": "\"no_bias\" == \"bias\"", "HIDDEN_LEN": "hiddenSize / 4" }, "passes": [ { "id": "main", "name": "SkipSimplifiedLayerNormalization.Vec4", "shader": "norm-skip-row-vec4.wgsl.jinja", "derive": { "simplified": true, "hasBias": "\"no_bias\" == \"bias\"", "hasBeta": false, "writeResidualSum": true, "usesF16Spec": false, "hidden": "hiddenSize", "hiddenVec": "hiddenSize / 4", "wg": "skipWgVec4", "vecType": "\"vec4\"", "useSubgroups": "hasSubgroups" }, "bindings": ["input", "skip", "gamma", "output", "input_skip_bias_sum", "params"], "dispatch": { "x": "min(rowCount, 65535)", "y": "ceilDiv(rowCount, 65535)", "z": 1 }, "subgroupCollectivesWidth": "portable" } ] }, { "id": "no_bias_output_only_vec4", "priority": 20, "when": ["f32_no_bias_output_contract", "vec4Aligned"], "derive": { "scalar": "\"f32\"", "vectorScalar": "\"vec4\"", "hasBias": "\"no_bias\" == \"bias\"", "HIDDEN_LEN": "hiddenSize / 4" }, "passes": [ { "id": "main", "name": 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