| { |
| "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" }, |
| "meanT": { |
| "onnx": "mean", |
| "dtype": "U", |
| "optional": true, |
| "rank": "ranks.inputT", |
| "shape": "prefix(shapes.inputT, ranks.inputT - 1) + [1]" |
| }, |
| "invStdT": { |
| "onnx": "inv_std_var", |
| "dtype": "U", |
| "optional": true, |
| "rank": "ranks.inputT", |
| "shape": "prefix(shapes.inputT, ranks.inputT - 1) + [1]" |
| }, |
| "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"], "U": ["float32"] }, |
| "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\")", |
| "statsRequested": "present.meanT or present.invStdT", |
| "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", |
| "statsContract": "statsRequested and coreContract and f16Ok(dtypes.T) and (not present.biasT or (ranks.biasT == 1 and dim(shapes.biasT, 0) == hiddenSize)) and (not present.residualT or sameShape(shapes.residualT, shapes.inputT))" |
| }, |
| "when": ["normResourcesFit", "rowDispatchFits"], |
| "bindings": { |
| "input": { "arg": "inputT", "elementType": "$vectorScalar" }, |
| "skip": { "arg": "skipT", "elementType": "$vectorScalar" }, |
| "gamma": { "arg": "gammaT", "elementType": "$vectorScalar", "length": "$HIDDEN_LEN" }, |
| "output": { "arg": "outputT", "elementType": "$vectorScalar" }, |
| "input_skip_bias_sum": { "arg": "residualT", "elementType": "$vectorScalar" }, |
| "params": { |
| "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", "elementType": "$vectorScalar", "length": "$HIDDEN_LEN" }, |
| "input_main": { "arg": "inputT", "name": "input", "elementType": "$scalar" }, |
| "skip_main": { "arg": "skipT", "name": "skip", "elementType": "$scalar" }, |
| "gamma_main": { "arg": "gammaT", "name": "gamma", "elementType": "$scalar", "length": "$HIDDEN_LEN" }, |
| "output_main": { "arg": "outputT", "name": "output", "elementType": "$scalar" }, |
| "input_skip_bias_sum_main": { "arg": "residualT", "name": "input_skip_bias_sum", "elementType": "$scalar" }, |
| "params_main": { |
| "name": "params", |
| "struct": [ |
| { "name": "rows", "type": "u32", "value": "rowCount" }, |
| { "name": "epsilon", "type": "f32", "value": "attrs.epsilon" } |
| ] |
| }, |
| "bias_main": { "arg": "biasT", "name": "bias", "elementType": "$scalar", "length": "$HIDDEN_LEN" }, |
| "mean": { "arg": "meanT", "elementType": "f32" }, |
| "inv_std_var": { "arg": "invStdT", "elementType": "f32" } |
| }, |
| "variants": [ |
| { |
| "id": "no_bias_vec4_f16", |
| "priority": 21, |
| "when": ["f16_no_bias_residual_contract", "vec4Aligned", "not present.meanT and not present.invStdT"], |
| "derive": { "vectorScalar": "\"vec4<f16>\"", "HIDDEN_LEN": "hiddenSize / 4" }, |
| "passes": [ |
| { |
| "id": "main", |
| "name": "SkipSimplifiedLayerNormalization.Vec4", |
| "shader": "norm-skip-row-vec4.wgsl.jinja", |
| "derive": { |
| "hasBias": "present.biasT", |
| "writeResidualSum": true, |
| "hidden": "hiddenSize", |
| "hiddenVec": "hiddenSize / 4", |
| "wg": "skipWgVec4", |
| "vecType": "\"vec4<f16>\"", |
| "useSubgroups": "hasSubgroups" |
| }, |
| "bindings": ["input", "skip", "gamma", "output", "input_skip_bias_sum", "params"], |
| "dispatch": { "x": "min(rowCount, 65535)", "y": "ceilDiv(rowCount, 65535)", "z": 1 } |
| } |
| ] |
| }, |
| { |
| "id": "no_bias_f16", |
| "priority": 0, |
| "when": ["f16_no_bias_residual_contract", "not present.meanT and not present.invStdT"], |
| "requires": { "features": ["shader-f16"] }, |
| "derive": { |
| "useSubgroups": false, |
| "writeResidualSum": true, |
| "hasBias": "present.biasT", |
| "scalar": "\"f16\"", |
| "workgroupSize": "skipWg", |
| "HIDDEN_LEN": "hiddenSize" |
| }, |
| "passes": [ |
| { |
| "id": "main", |
| "name": "SkipSimplifiedLayerNormalization", |
| "shader": "norm-skip-row.wgsl.jinja", |
| "bindings": ["input_main", "skip_main", "gamma_main", "output_main", "input_skip_bias_sum_main", "params_main"], |
| "dispatch": { "x": "min(rowCount, 65535)", "y": "ceilDiv(rowCount, 65535)", "z": 1 } |
| } |
| ] |
| }, |
| { |
| "id": "no_bias_vec4", |
| "priority": 20, |
| "when": ["f32_no_bias_residual_contract", "vec4Aligned", "not present.meanT and not present.invStdT"], |
| "derive": { "vectorScalar": "\"vec4<f32>\"", "HIDDEN_LEN": "hiddenSize / 4" }, |
| "passes": [ |
| { |
| "id": "main", |
| "name": "SkipSimplifiedLayerNormalization.Vec4", |
| "shader": "norm-skip-row-vec4.wgsl.jinja", |
| "derive": { |
| "hasBias": "present.biasT", |
| "writeResidualSum": true, |
| "hidden": "hiddenSize", |
| "hiddenVec": "hiddenSize / 4", |
| "wg": "skipWgVec4", |
| "vecType": "\"vec4<f32>\"", |
| "useSubgroups": "hasSubgroups" |
| }, |
| "bindings": ["input", "skip", "gamma", "output", "input_skip_bias_sum", "params"], |
| "dispatch": { "x": "min(rowCount, 65535)", "y": "ceilDiv(rowCount, 65535)", "z": 1 } |
| } |
| ] |
| }, |
| { |
| "id": "no_bias", |
| "priority": 0, |
| "when": ["f32_no_bias_residual_contract", "not present.meanT and not present.invStdT"], |
| "derive": { |
| "useSubgroups": false, |
| "writeResidualSum": true, |
| "hasBias": "present.biasT", |
| "scalar": "\"f32\"", |
| "workgroupSize": "skipWg", |
| "HIDDEN_LEN": "hiddenSize" |
| }, |
| "passes": [ |
| { |
| "id": "main", |
| "name": "SkipSimplifiedLayerNormalization", |
| "shader": "norm-skip-row.wgsl.jinja", |
| "bindings": ["input_main", "skip_main", "gamma_main", "output_main", "input_skip_bias_sum_main", "params_main"], |
| "dispatch": { "x": "min(rowCount, 65535)", "y": "ceilDiv(rowCount, 65535)", "z": 1 } |
| } |
| ] |
| }, |
| { |
| "id": "no_bias_output_only_vec4_f16", |
| "priority": 21, |
| "when": ["f16_no_bias_output_contract", "vec4Aligned", "not present.meanT and not present.invStdT"], |
| "derive": { "vectorScalar": "\"vec4<f16>\"", "HIDDEN_LEN": "hiddenSize / 4" }, |
| "passes": [ |
| { |
| "id": "main", |
| "name": "SkipSimplifiedLayerNormalization.Vec4OutputOnly", |
| "shader": "norm-skip-row-vec4.wgsl.jinja", |
| "derive": { |
| "hasBias": "present.biasT", |
| "writeResidualSum": false, |
| "hidden": "hiddenSize", |
| "hiddenVec": "hiddenSize / 4", |
| "wg": "skipWgVec4", |
| "vecType": "\"vec4<f16>\"", |
| "useSubgroups": "hasSubgroups" |
| }, |
| "bindings": ["input", "skip", "gamma", "output", "params"], |
| "dispatch": { "x": "min(rowCount, 65535)", "y": "ceilDiv(rowCount, 65535)", "z": 1 } |
| } |
| ] |
| }, |
| { |
| "id": "no_bias_output_only_f16", |
| "priority": 0, |
| "when": ["f16_no_bias_output_contract", "not present.meanT and not present.invStdT"], |
| "requires": { "features": ["shader-f16"] }, |
| "derive": { |
| "useSubgroups": false, |
| "writeResidualSum": false, |
| "hasBias": "present.biasT", |
| "scalar": "\"f16\"", |
| "workgroupSize": "skipWg", |
| "HIDDEN_LEN": "hiddenSize" |
| }, |
| "passes": [ |
| { |
| "id": "main", |
| "name": "SkipSimplifiedLayerNormalization.OutputOnly", |
| "shader": "norm-skip-row.wgsl.jinja", |
| "bindings": ["input_main", "skip_main", "gamma_main", "output_main", "params_main"], |
| "dispatch": { "x": "min(rowCount, 65535)", "y": "ceilDiv(rowCount, 65535)", "z": 1 } |
| } |
| ] |
| }, |
| { |
| "id": "no_bias_output_only_vec4", |
| "priority": 20, |
| "when": ["f32_no_bias_output_contract", "vec4Aligned", "not present.meanT and not present.invStdT"], |
| "derive": { "vectorScalar": "\"vec4<f32>\"", "HIDDEN_LEN": "hiddenSize / 4" }, |
| "passes": [ |
| { |
| "id": "main", |
| "name": "SkipSimplifiedLayerNormalization.Vec4OutputOnly", |
| "shader": "norm-skip-row-vec4.wgsl.jinja", |
| "derive": { |
| "hasBias": "present.biasT", |
| "writeResidualSum": false, |
| "hidden": "hiddenSize", |
| "hiddenVec": "hiddenSize / 4", |
| "wg": "skipWgVec4", |
| "vecType": "\"vec4<f32>\"", |
| "useSubgroups": "hasSubgroups" |
| }, |
| "bindings": ["input", "skip", "gamma", "output", "params"], |
| "dispatch": { "x": "min(rowCount, 65535)", "y": "ceilDiv(rowCount, 65535)", "z": 1 } |
| } |
| ] |
| }, |
| { |
| "id": "no_bias_output_only", |
| "priority": 0, |
| "when": ["f32_no_bias_output_contract", "not present.meanT and not present.invStdT"], |
| "derive": { |
| "useSubgroups": false, |
| "writeResidualSum": false, |
| "hasBias": "present.biasT", |
| "scalar": "\"f32\"", |
| "workgroupSize": "skipWg", |
| "HIDDEN_LEN": "hiddenSize" |
| }, |
| "passes": [ |
| { |
| "id": "main", |
| "name": "SkipSimplifiedLayerNormalization.OutputOnly", |
| "shader": "norm-skip-row.wgsl.jinja", |
| "bindings": ["input_main", "skip_main", "gamma_main", "output_main", "params_main"], |
| "dispatch": { "x": "min(rowCount, 65535)", "y": "ceilDiv(rowCount, 65535)", "z": 1 } |
| } |
| ] |
| }, |
| { |
| "id": "bias_vec4_f16", |
| "priority": 21, |
| "when": ["f16_bias_residual_contract", "vec4Aligned", "not present.meanT and not present.invStdT"], |
| "derive": { "vectorScalar": "\"vec4<f16>\"", "HIDDEN_LEN": "hiddenSize / 4" }, |
| "passes": [ |
| { |
| "id": "main", |
| "name": "SkipSimplifiedLayerNormalization.Vec4", |
| "shader": "norm-skip-row-vec4.wgsl.jinja", |
| "derive": { |
| "hasBias": "present.biasT", |
| "writeResidualSum": true, |
| "hidden": "hiddenSize", |
| "hiddenVec": "hiddenSize / 4", |
| "wg": "skipWgVec4", |
| "vecType": "\"vec4<f16>\"", |
| "useSubgroups": "hasSubgroups" |
| }, |
| "bindings": ["input", "skip", "gamma", "bias", "output", "input_skip_bias_sum", "params"], |
| "dispatch": { "x": "min(rowCount, 65535)", "y": "ceilDiv(rowCount, 65535)", "z": 1 } |
| } |
| ] |
| }, |
| { |
| "id": "bias_f16", |
| "priority": 0, |
| "when": ["f16_bias_residual_contract", "not present.meanT and not present.invStdT"], |
| "requires": { "features": ["shader-f16"] }, |
| "derive": { |
| "useSubgroups": false, |
| "writeResidualSum": true, |
| "hasBias": "present.biasT", |
| "scalar": "\"f16\"", |
| "workgroupSize": "skipWg", |
| "HIDDEN_LEN": "hiddenSize" |
| }, |
| "passes": [ |
| { |
| "id": "main", |
| "name": "SkipSimplifiedLayerNormalization", |
| "shader": "norm-skip-row.wgsl.jinja", |
| "bindings": ["input_main", "skip_main", "gamma_main", "bias_main", "output_main", "input_skip_bias_sum_main", "params_main"], |
| "dispatch": { "x": "min(rowCount, 65535)", "y": "ceilDiv(rowCount, 65535)", "z": 1 } |
| } |
| ] |
| }, |
| { |
| "id": "bias_vec4", |
| "priority": 20, |
| "when": ["f32_bias_residual_contract", "vec4Aligned", "not present.meanT and not present.invStdT"], |
| "derive": { "vectorScalar": "\"vec4<f32>\"", "HIDDEN_LEN": "hiddenSize / 4" }, |
| "passes": [ |
| { |
| "id": "main", |
| "name": "SkipSimplifiedLayerNormalization.Vec4", |
| "shader": "norm-skip-row-vec4.wgsl.jinja", |
| "derive": { |
| "hasBias": "present.biasT", |
| "writeResidualSum": true, |
| "hidden": "hiddenSize", |
| "hiddenVec": "hiddenSize / 4", |
| "wg": "skipWgVec4", |
| "vecType": "\"vec4<f32>\"", |
| "useSubgroups": "hasSubgroups" |
| }, |
| "bindings": ["input", "skip", "gamma", "bias", "output", "input_skip_bias_sum", "params"], |
| "dispatch": { "x": "min(rowCount, 65535)", "y": "ceilDiv(rowCount, 65535)", "z": 1 } |
| } |
| ] |
| }, |
| { |
| "id": "bias", |
| "priority": 0, |
| "when": ["f32_bias_residual_contract", "not present.meanT and not present.invStdT"], |
| "derive": { |
| "useSubgroups": false, |
| "writeResidualSum": true, |
| "hasBias": "present.biasT", |
| "scalar": "\"f32\"", |
| "workgroupSize": "skipWg", |
| "HIDDEN_LEN": "hiddenSize" |
| }, |
| "passes": [ |
| { |
| "id": "main", |
| "name": "SkipSimplifiedLayerNormalization", |
| "shader": "norm-skip-row.wgsl.jinja", |
| "bindings": ["input_main", "skip_main", "gamma_main", "bias_main", "output_main", "input_skip_bias_sum_main", "params_main"], |
| "dispatch": { "x": "min(rowCount, 65535)", "y": "ceilDiv(rowCount, 65535)", "z": 1 } |
| } |
| ] |
| }, |
| { |
| "id": "bias_output_only_vec4_f16", |
| "priority": 21, |
| "when": ["f16_bias_output_contract", "vec4Aligned", "not present.meanT and not present.invStdT"], |
| "derive": { "vectorScalar": "\"vec4<f16>\"", "HIDDEN_LEN": "hiddenSize / 4" }, |
| "passes": [ |
| { |
| "id": "main", |
| "name": "SkipSimplifiedLayerNormalization.Vec4OutputOnly", |
| "shader": "norm-skip-row-vec4.wgsl.jinja", |
| "derive": { |
| "hasBias": "present.biasT", |
| "writeResidualSum": false, |
| "hidden": "hiddenSize", |
| "hiddenVec": "hiddenSize / 4", |
| "wg": "skipWgVec4", |
| "vecType": "\"vec4<f16>\"", |
| "useSubgroups": "hasSubgroups" |
| }, |
| "bindings": ["input", "skip", "gamma", "bias", "output", "params"], |
| "dispatch": { "x": "min(rowCount, 65535)", "y": "ceilDiv(rowCount, 65535)", "z": 1 } |
| } |
| ] |
| }, |
| { |
| "id": "bias_output_only_f16", |
| "priority": 0, |
| "when": ["f16_bias_output_contract", "not present.meanT and not present.invStdT"], |
| "requires": { "features": ["shader-f16"] }, |
| "derive": { |
| "useSubgroups": false, |
| "writeResidualSum": false, |
| "hasBias": "present.biasT", |
| "scalar": "\"f16\"", |
| "workgroupSize": "skipWg", |
| "HIDDEN_LEN": "hiddenSize" |
| }, |
| "passes": [ |
| { |
| "id": "main", |
| "name": "SkipSimplifiedLayerNormalization.OutputOnly", |
| "shader": "norm-skip-row.wgsl.jinja", |
| "bindings": ["input_main", "skip_main", "gamma_main", "bias_main", "output_main", "params_main"], |
| "dispatch": { "x": "min(rowCount, 65535)", "y": "ceilDiv(rowCount, 65535)", "z": 1 } |
| } |
| ] |
| }, |
| { |
| "id": "bias_output_only_vec4", |
| "priority": 20, |
| "when": ["f32_bias_output_contract", "vec4Aligned", "not present.meanT and not present.invStdT"], |
| "derive": { "vectorScalar": "\"vec4<f32>\"", "HIDDEN_LEN": "hiddenSize / 4" }, |
| "passes": [ |
| { |
| "id": "main", |
| "name": "SkipSimplifiedLayerNormalization.Vec4OutputOnly", |
| "shader": "norm-skip-row-vec4.wgsl.jinja", |
| "derive": { |
| "hasBias": "present.biasT", |
| "writeResidualSum": false, |
| "hidden": "hiddenSize", |
| "hiddenVec": "hiddenSize / 4", |
| "wg": "skipWgVec4", |
| "vecType": "\"vec4<f32>\"", |
| "useSubgroups": "hasSubgroups" |
| }, |
| "bindings": ["input", "skip", "gamma", "bias", "output", "params"], |
| "dispatch": { "x": "min(rowCount, 65535)", "y": "ceilDiv(rowCount, 65535)", "z": 1 } |
| } |
| ] |
| }, |
| { |
| "id": "bias_output_only", |
| "priority": 0, |
| "when": ["f32_bias_output_contract", "not present.meanT and not present.invStdT"], |
| "derive": { |
| "useSubgroups": false, |
| "writeResidualSum": false, |
| "hasBias": "present.biasT", |
| "scalar": "\"f32\"", |
| "workgroupSize": "skipWg", |
| "HIDDEN_LEN": "hiddenSize" |
| }, |
| "passes": [ |
| { |
| "id": "main", |
| "name": "SkipSimplifiedLayerNormalization.OutputOnly", |
| "shader": "norm-skip-row.wgsl.jinja", |
| "bindings": ["input_main", "skip_main", "gamma_main", "bias_main", "output_main", "params_main"], |
| "dispatch": { "x": "min(rowCount, 65535)", "y": "ceilDiv(rowCount, 65535)", "z": 1 } |
| } |
| ] |
| }, |
| { |
| "id": "stats_mean_plain", |
| "when": ["statsContract", "present.meanT", "not present.invStdT", "not present.biasT", "not present.residualT", "normResourcesFit", "rowDispatchFits"], |
| "derive": { |
| "hasBias": "present.biasT", |
| "writeResidualSum": "present.residualT", |
| "writeMean": "present.meanT", |
| "writeInvStd": "present.invStdT", |
| "scalar": "dtypes.T", |
| "useSubgroups": false, |
| "workgroupSize": "skipWg", |
| "HIDDEN_LEN": "hiddenSize" |
| }, |
| "passes": [ |
| { |
| "id": "main", |
| "shader": "norm-skip-row.wgsl.jinja", |
| "bindings": ["input_main", "skip_main", "gamma_main", "output_main", "mean", "params_main"], |
| "dispatch": { "x": "min(rowCount, 65535)", "y": "ceilDiv(rowCount, 65535)", "z": 1 } |
| } |
| ] |
| }, |
| { |
| "id": "stats_mean_residual", |
| "when": ["statsContract", "present.meanT", "not present.invStdT", "not present.biasT", "present.residualT", "normResourcesFit", "rowDispatchFits"], |
| "derive": { |
| "hasBias": "present.biasT", |
| "writeResidualSum": "present.residualT", |
| "writeMean": "present.meanT", |
| "writeInvStd": "present.invStdT", |
| "scalar": "dtypes.T", |
| "useSubgroups": false, |
| "workgroupSize": "skipWg", |
| "HIDDEN_LEN": "hiddenSize" |
| }, |
| "passes": [ |
| { |
| "id": "main", |
| "shader": "norm-skip-row.wgsl.jinja", |
| "bindings": ["input_main", "skip_main", "gamma_main", "input_skip_bias_sum_main", "output_main", "mean", "params_main"], |
| "dispatch": { "x": "min(rowCount, 65535)", "y": "ceilDiv(rowCount, 65535)", "z": 1 } |
| } |
| ] |
| }, |
| { |
| "id": "stats_mean_bias", |
| "when": ["statsContract", "present.meanT", "not present.invStdT", "present.biasT", "not present.residualT", "normResourcesFit", "rowDispatchFits"], |
| "derive": { |
| "hasBias": "present.biasT", |
| "writeResidualSum": "present.residualT", |
| "writeMean": "present.meanT", |
| "writeInvStd": "present.invStdT", |
| "scalar": "dtypes.T", |
| "useSubgroups": false, |
| "workgroupSize": "skipWg", |
| "HIDDEN_LEN": "hiddenSize" |
| }, |
| "passes": [ |
| { |
| "id": "main", |
| "shader": "norm-skip-row.wgsl.jinja", |
| "bindings": ["input_main", "skip_main", "gamma_main", "bias_main", "output_main", "mean", "params_main"], |
| "dispatch": { "x": "min(rowCount, 65535)", "y": "ceilDiv(rowCount, 65535)", "z": 1 } |
| } |
| ] |
| }, |
| { |
| "id": "stats_mean_bias_residual", |
| "when": ["statsContract", "present.meanT", "not present.invStdT", "present.biasT", "present.residualT", "normResourcesFit", "rowDispatchFits"], |
| "derive": { |
| "hasBias": "present.biasT", |
| "writeResidualSum": "present.residualT", |
| "writeMean": "present.meanT", |
| "writeInvStd": "present.invStdT", |
| "scalar": "dtypes.T", |
| "useSubgroups": false, |
| "workgroupSize": "skipWg", |
| "HIDDEN_LEN": "hiddenSize" |
| }, |
| "passes": [ |
| { |
| "id": "main", |
| "shader": "norm-skip-row.wgsl.jinja", |
| "bindings": ["input_main", "skip_main", "gamma_main", "bias_main", "input_skip_bias_sum_main", "output_main", "mean", "params_main"], |
| "dispatch": { "x": "min(rowCount, 65535)", "y": "ceilDiv(rowCount, 65535)", "z": 1 } |
| } |
| ] |
| }, |
| { |
| "id": "stats_inv_plain", |
| "when": ["statsContract", "not present.meanT", "present.invStdT", "not present.biasT", "not present.residualT", "normResourcesFit", "rowDispatchFits"], |
| "derive": { |
| "hasBias": "present.biasT", |
| "writeResidualSum": "present.residualT", |
| "writeMean": "present.meanT", |
| "writeInvStd": "present.invStdT", |
| "scalar": "dtypes.T", |
| "useSubgroups": false, |
| "workgroupSize": "skipWg", |
| "HIDDEN_LEN": "hiddenSize" |
| }, |
| "passes": [ |
| { |
| "id": "main", |
| "shader": "norm-skip-row.wgsl.jinja", |
| "bindings": ["input_main", "skip_main", "gamma_main", "output_main", "inv_std_var", "params_main"], |
| "dispatch": { "x": "min(rowCount, 65535)", "y": "ceilDiv(rowCount, 65535)", "z": 1 } |
| } |
| ] |
| }, |
| { |
| "id": "stats_inv_residual", |
| "when": ["statsContract", "not present.meanT", "present.invStdT", "not present.biasT", "present.residualT", "normResourcesFit", "rowDispatchFits"], |
| "derive": { |
| "hasBias": "present.biasT", |
| "writeResidualSum": "present.residualT", |
| "writeMean": "present.meanT", |
| "writeInvStd": "present.invStdT", |
| "scalar": "dtypes.T", |
| "useSubgroups": false, |
| "workgroupSize": "skipWg", |
| "HIDDEN_LEN": "hiddenSize" |
| }, |
| "passes": [ |
| { |
| "id": "main", |
| "shader": "norm-skip-row.wgsl.jinja", |
| "bindings": ["input_main", "skip_main", "gamma_main", "input_skip_bias_sum_main", "output_main", "inv_std_var", "params_main"], |
| "dispatch": { "x": "min(rowCount, 65535)", "y": "ceilDiv(rowCount, 65535)", "z": 1 } |
| } |
| ] |
| }, |
| { |
| "id": "stats_inv_bias", |
| "when": ["statsContract", "not present.meanT", "present.invStdT", "present.biasT", "not present.residualT", "normResourcesFit", "rowDispatchFits"], |
| "derive": { |
| "hasBias": "present.biasT", |
| "writeResidualSum": "present.residualT", |
| "writeMean": "present.meanT", |
| "writeInvStd": "present.invStdT", |
| "scalar": "dtypes.T", |
| "useSubgroups": false, |
| "workgroupSize": "skipWg", |
| "HIDDEN_LEN": "hiddenSize" |
| }, |
| "passes": [ |
| { |
| "id": "main", |
| "shader": "norm-skip-row.wgsl.jinja", |
| "bindings": ["input_main", "skip_main", "gamma_main", "bias_main", "output_main", "inv_std_var", "params_main"], |
| "dispatch": { "x": "min(rowCount, 65535)", "y": "ceilDiv(rowCount, 65535)", "z": 1 } |
| } |
| ] |
| }, |
| { |
| "id": "stats_inv_bias_residual", |
| "when": ["statsContract", "not present.meanT", "present.invStdT", "present.biasT", "present.residualT", "normResourcesFit", "rowDispatchFits"], |
| "derive": { |
| "hasBias": "present.biasT", |
| "writeResidualSum": "present.residualT", |
| "writeMean": "present.meanT", |
| "writeInvStd": "present.invStdT", |
| "scalar": "dtypes.T", |
| "useSubgroups": false, |
| "workgroupSize": "skipWg", |
| "HIDDEN_LEN": "hiddenSize" |
| }, |
| "passes": [ |
| { |
| "id": "main", |
| "shader": "norm-skip-row.wgsl.jinja", |
| "bindings": ["input_main", "skip_main", "gamma_main", "bias_main", "input_skip_bias_sum_main", "output_main", "inv_std_var", "params_main"], |
| "dispatch": { "x": "min(rowCount, 65535)", "y": "ceilDiv(rowCount, 65535)", "z": 1 } |
| } |
| ] |
| }, |
| { |
| "id": "stats_both_plain", |
| "when": ["statsContract", "present.meanT", "present.invStdT", "not present.biasT", "not present.residualT", "normResourcesFit", "rowDispatchFits"], |
| "derive": { |
| "hasBias": "present.biasT", |
| "writeResidualSum": "present.residualT", |
| "writeMean": "present.meanT", |
| "writeInvStd": "present.invStdT", |
| "scalar": "dtypes.T", |
| "useSubgroups": false, |
| "workgroupSize": "skipWg", |
| "HIDDEN_LEN": "hiddenSize" |
| }, |
| "passes": [ |
| { |
| "id": "main", |
| "shader": "norm-skip-row.wgsl.jinja", |
| "bindings": ["input_main", "skip_main", "gamma_main", "output_main", "mean", "inv_std_var", "params_main"], |
| "dispatch": { "x": "min(rowCount, 65535)", "y": "ceilDiv(rowCount, 65535)", "z": 1 } |
| } |
| ] |
| }, |
| { |
| "id": "stats_both_residual", |
| "when": ["statsContract", "present.meanT", "present.invStdT", "not present.biasT", "present.residualT", "normResourcesFit", "rowDispatchFits"], |
| "derive": { |
| "hasBias": "present.biasT", |
| "writeResidualSum": "present.residualT", |
| "writeMean": "present.meanT", |
| "writeInvStd": "present.invStdT", |
| "scalar": "dtypes.T", |
| "useSubgroups": false, |
| "workgroupSize": "skipWg", |
| "HIDDEN_LEN": "hiddenSize" |
| }, |
| "passes": [ |
| { |
| "id": "main", |
| "shader": "norm-skip-row.wgsl.jinja", |
| "bindings": ["input_main", "skip_main", "gamma_main", "input_skip_bias_sum_main", "output_main", "mean", "inv_std_var", "params_main"], |
| "dispatch": { "x": "min(rowCount, 65535)", "y": "ceilDiv(rowCount, 65535)", "z": 1 } |
| } |
| ] |
| }, |
| { |
| "id": "stats_both_bias", |
| "when": ["statsContract", "present.meanT", "present.invStdT", "present.biasT", "not present.residualT", "normResourcesFit", "rowDispatchFits"], |
| "derive": { |
| "hasBias": "present.biasT", |
| "writeResidualSum": "present.residualT", |
| "writeMean": "present.meanT", |
| "writeInvStd": "present.invStdT", |
| "scalar": "dtypes.T", |
| "useSubgroups": false, |
| "workgroupSize": "skipWg", |
| "HIDDEN_LEN": "hiddenSize" |
| }, |
| "passes": [ |
| { |
| "id": "main", |
| "shader": "norm-skip-row.wgsl.jinja", |
| "bindings": ["input_main", "skip_main", "gamma_main", "bias_main", "output_main", "mean", "inv_std_var", "params_main"], |
| "dispatch": { "x": "min(rowCount, 65535)", "y": "ceilDiv(rowCount, 65535)", "z": 1 } |
| } |
| ] |
| }, |
| { |
| "id": "stats_both_bias_residual", |
| "when": ["statsContract", "present.meanT", "present.invStdT", "present.biasT", "present.residualT", "normResourcesFit", "rowDispatchFits"], |
| "derive": { |
| "hasBias": "present.biasT", |
| "writeResidualSum": "present.residualT", |
| "writeMean": "present.meanT", |
| "writeInvStd": "present.invStdT", |
| "scalar": "dtypes.T", |
| "useSubgroups": false, |
| "workgroupSize": "skipWg", |
| "HIDDEN_LEN": "hiddenSize" |
| }, |
| "passes": [ |
| { |
| "id": "main", |
| "shader": "norm-skip-row.wgsl.jinja", |
| "bindings": ["input_main", "skip_main", "gamma_main", "bias_main", "input_skip_bias_sum_main", "output_main", "mean", "inv_std_var", "params_main"], |
| "dispatch": { "x": "min(rowCount, 65535)", "y": "ceilDiv(rowCount, 65535)", "z": 1 } |
| } |
| ] |
| } |
| ] |
| } |
|
|
