123 references to OnnxNode
Microsoft.ML.Data (46)
Model\Onnx\OnnxContext.cs (2)
109public abstract OnnxNode CreateNode(string opType, IEnumerable<string> inputs, 123public OnnxNode CreateNode(string opType, string input, string output, string name, string domain = null)
Prediction\Calibrator.cs (2)
1308var node = ctx.CreateNode(opType, new[] { outputNames[0], minVar }, new[] { subNodeOutput }, ctx.GetNodeName(opType), ""); 1806var node = ctx.CreateNode(opType, new[] { scoreProbablityColumnNames[0], slopVar }, new[] { mulNodeOutput }, ctx.GetNodeName(opType), "");
Scorers\BinaryClassifierScorer.cs (1)
201OnnxNode node;
Transforms\ColumnConcatenatingTransformer.cs (2)
940var node = ctx.CreateNode(opType, inputList.Select(t => t.Key), 947var castNode = ctx.CreateNode(opType, vectorizerOutputName, dstVariableName, ctx.GetNodeName(opType), "");
Transforms\ColumnCopying.cs (1)
253var node = ctx.CreateNode(opType, srcVariableName, dstVariableName, ctx.GetNodeName(opType), "");
Transforms\Hashing.cs (5)
1363OnnxNode castNode; 1364OnnxNode murmurNode; 1365OnnxNode isZeroNode; 1422var shiftNode = ctx.CreateNode(opType, new[] { murmurOutput, shiftValue }, new[] { bitShiftOutput }, ctx.GetNodeName(opType), ""); 1451var castNodeFinal = ctx.CreateNode(opType, input, dstVariable, ctx.GetNodeName(opType), "");
Transforms\KeyToValue.cs (2)
513var castNode = ctx.CreateNode(opType, srcVariableName, castNodeOutput, ctx.GetNodeName(opType), ""); 527var node = ctx.CreateNode(opType, castNodeOutput, labelEncoderOutput, ctx.GetNodeName(opType));
Transforms\KeyToVector.cs (3)
713var castNode = ctx.CreateNode(opType, srcVariableName, castOutput, ctx.GetNodeName(opType), ""); 723var node = ctx.CreateNode(opType, castOutput, encodedVariableName, ctx.GetNodeName(opType)); 730var reduceNode = ctx.CreateNode(opType, encodedVariableName, dstVariableName, ctx.GetNodeName(opType), "");
Transforms\NormalizeColumn.cs (3)
422public abstract bool OnnxInfo(OnnxContext ctx, OnnxNode nodeProtoWrapper, int featureCount); 542public bool OnnxInfo(OnnxContext ctx, OnnxNode nodeProtoWrapper, int featureCount) 673public bool OnnxInfo(OnnxContext ctx, OnnxNode nodeProtoWrapper, int featureCount)
Transforms\NormalizeColumnDbl.cs (2)
700public override bool OnnxInfo(OnnxContext ctx, OnnxNode nodeProtoWrapper, int featureCount) 772public override bool OnnxInfo(OnnxContext ctx, OnnxNode node, int featureCount)
Transforms\NormalizeColumnSng.cs (2)
858public override bool OnnxInfo(OnnxContext ctx, OnnxNode node, int featureCount) 929public override bool OnnxInfo(OnnxContext ctx, OnnxNode node, int featureCount)
Transforms\Normalizer.cs (1)
840var node = ctx.CreateNode(opType, srcVariableName, dstVariableName, ctx.GetNodeName(opType));
Transforms\NormalizeUtils.cs (1)
68bool OnnxInfo(OnnxContext ctx, OnnxNode nodeProtoWrapper, int featureCount);
Transforms\SlotsDroppingTransformer.cs (1)
908var node = ctx.CreateNode(opType, new[] { srcVariableName, slotsVar }, new[] { dstVariableName }, ctx.GetNodeName(opType), "");
Transforms\TypeConverting.cs (1)
504var node = ctx.CreateNode(opType, srcVariableName, dstVariableName, ctx.GetNodeName(opType), "");
Transforms\ValueMapping.cs (11)
1085private void CastInputTo<T>(OnnxContext ctx, out OnnxNode node, string srcVariableName, string opType, string labelEncoderOutput, PrimitiveDataViewType itemType) 1089var castNode = ctx.CreateNode("Cast", srcVariableName, castOutput, ctx.GetNodeName("Cast"), ""); 1105OnnxNode node; 1201var castNode = ctx.CreateNode("Cast", srcVariableName, castOutput, ctx.GetNodeName("Cast"), ""); 1221var castNode = ctx.CreateNode("Cast", labelEncoderOutput, dstVariableName, ctx.GetNodeName("Cast"), ""); 1227var castNode = ctx.CreateNode("Cast", labelEncoderOutput, dstVariableName, ctx.GetNodeName("Cast"), ""); 1233var castNode = ctx.CreateNode("Cast", labelEncoderOutput, dstVariableName, ctx.GetNodeName("Cast"), ""); 1239var castNode = ctx.CreateNode("Cast", labelEncoderOutput, dstVariableName, ctx.GetNodeName("Cast"), ""); 1245var castNode = ctx.CreateNode("Cast", labelEncoderOutput, dstVariableName, ctx.GetNodeName("Cast"), ""); 1255var castNode = ctx.CreateNode("Cast", labelEncoderOutput, dstVariableName, ctx.GetNodeName("Cast"), ""); 1265var castNode = ctx.CreateNode("Cast", labelEncoderOutput, dstVariableName, ctx.GetNodeName("Cast"), "");
Transforms\ValueToKeyMappingTransformer.cs (6)
787private void CastInputToString<T>(OnnxContext ctx, out OnnxNode node, out long[] termIds, string srcVariableName, int iinfo, 792var castNode = ctx.CreateNode("Cast", srcVariableName, castOutput, ctx.GetNodeName("Cast"), ""); 800private void CastInputToFloat<T>(OnnxContext ctx, out OnnxNode node, out long[] termIds, string srcVariableName, int iinfo, 805var castNode = ctx.CreateNode("Cast", srcVariableName, castOutput, ctx.GetNodeName("Cast"), ""); 818OnnxNode node; 821OnnxNode castNode;
Microsoft.ML.FastTree (1)
FastTree.cs (1)
3108var node = ctx.CreateNode(opType, new[] { featureColumn }, new[] { scoreVarName }, ctx.GetNodeName(opType));
Microsoft.ML.KMeansClustering (6)
KMeansModelParameters.cs (6)
338var reduceNodeX2 = ctx.CreateNode("ReduceSumSquare", nameX, nameX2, ctx.GetNodeName("ReduceSumSquare"), ""); 346var gemmNodeXC2 = ctx.CreateNode("Gemm", new[] { nameX, nameC, zeroName }, new[] { nameXC2 }, ctx.GetNodeName("Gemm"), ""); 352var addNodeZ = ctx.CreateNode("Add", new[] { nameX2, nameXC2 }, new[] { nameZ }, ctx.GetNodeName("Add"), ""); 356var addNodeY = ctx.CreateNode("Add", new[] { nameZ, nameC2 }, new[] { nameY }, ctx.GetNodeName("Add"), ""); 360var predictNodeL = ctx.CreateNode("ArgMin", nameY, nameL, ctx.GetNodeName("ArgMin"), ""); 366var predictedNode = ctx.CreateNode("Cast", nameL, outputNames[0], ctx.GetNodeName("Cast"), "");
Microsoft.ML.Mkl.Components (1)
VectorWhitening.cs (1)
664var node = ctx.CreateNode(opType, new[] { modelName, srcVariableName, zeroValueName }, new[] { gemmOutput }, ctx.GetNodeName(opType), "");
Microsoft.ML.PCA (2)
PcaTransformer.cs (2)
667var transposeNode = ctx.CreateNode(opType, srcVariableName, transposeOutput, ctx.GetNodeName(opType), ""); 670var gemmNode = ctx.CreateNode(opType, new[] { transposeOutput, pcaMatrix, zeroMeanNode }, new[] { dstVariableName }, ctx.GetNodeName(opType), "");
Microsoft.ML.StandardTrainers (19)
Standard\LinearModelParameters.cs (1)
146var node = ctx.CreateNode(opType, new[] { featureColumn }, new[] { scoreVarName }, ctx.GetNodeName(opType));
Standard\LogisticRegression\MulticlassLogisticRegression.cs (3)
991var node = ctx.CreateNode(opType, new[] { featureColumn }, new[] { classifierLabelOutput, outputs[1] }, ctx.GetNodeName(opType)); 1000var unsqueezeNode = ctx.CreateNode(opType, classifierLabelOutput, unsqueezeOutput, ctx.GetNodeName(opType), ""); 1005var castNode = ctx.CreateNode(opType, unsqueezeOutput, outputs[0], ctx.GetNodeName(opType), "");
Standard\MulticlassClassification\MulticlassNaiveBayesTrainer.cs (2)
461var node = ctx.CreateNode(opType, greaterOutput, castOutput, ctx.GetNodeName(opType), ""); 545var squeezeNode = ctx.CreateNode(opType, sumOutput, outputNames[1], ctx.GetNodeName(opType), "");
Standard\MulticlassClassification\OneVersusAllTrainer.cs (12)
563var clipNode = ctx.CreateNode(opType, new[] { clipInput, zeroVar }, new[] { outputs[i] }, ctx.GetNodeName(opType), ""); 578var argMaxNode = ctx.CreateNode(opType, inputName, argMaxOutput, ctx.GetNodeName(opType), ""); 585var addNode = ctx.CreateNode(opType, new[] { argMaxOutput, one }, new[] { addOutput }, ctx.GetNodeName(opType), ""); 588var castToUint32Node = ctx.CreateNode(opType, addOutput, outputNames[0], ctx.GetNodeName(opType), ""); 670var concatNode = ctx.CreateNode(opType, probabilityOutputs, new[] { concatOutput }, ctx.GetNodeName(opType), ""); 807var castNode = ctx.CreateNode(opType, sumOutput, castOutput, ctx.GetNodeName(opType), ""); 817var castIsZeroSumToFloatNode = ctx.CreateNode(opType, notOutput, castIsZeroSumToFloat, ctx.GetNodeName(opType), ""); 837var concatNode = ctx.CreateNode(opType, divOutputs, new[] { concatOutput }, ctx.GetNodeName(opType), ""); 926var concatNode = ctx.CreateNode(opType, probabilityOutputs, new[] { concatOutput }, ctx.GetNodeName(opType), ""); 931var expNode = ctx.CreateNode(opType, concatOutput, expOutput, ctx.GetNodeName(opType), ""); 935var sumNode = ctx.CreateNode(opType, expOutput, sumOutput, ctx.GetNodeName(opType), ""); 942var divNode = ctx.CreateNode(opType, new[] { expOutput, sumOutput }, new[] { divOutput }, ctx.GetNodeName(opType), "");
Standard\Simple\SimpleTrainers.cs (1)
426var node = ctx.CreateNode(opType, notOutput, castOutput, ctx.GetNodeName(opType), "");
Microsoft.ML.Transforms (48)
GcnTransform.cs (16)
645var node = ctx.CreateNode(opType, srcVariableName, dstVariableName, ctx.GetNodeName(opType)); 652var meanNode = ctx.CreateNode(opType, srcVariableName, meanOfInput, ctx.GetNodeName(opType), ""); 657var subtractNode = ctx.CreateNode(opType, new[] { srcVariableName, meanOfInput }, new[] { inputMinusMean }, ctx.GetNodeName(opType), ""); 663var absNode = ctx.CreateNode(opType, inputMinusMean, absOfInput, ctx.GetNodeName(opType), ""); 667var sumOfAbsNode = ctx.CreateNode(opType, absOfInput, sumOfAbsOfInput, ctx.GetNodeName(opType), ""); 671var l1Node = ctx.CreateNode(opType, new[] { inputMinusMean, sumOfAbsOfInput }, new[] { dstVariableName }, ctx.GetNodeName(opType), ""); 678var squareNode = ctx.CreateNode(opType, new[] { inputMinusMean, two }, new[] { squareOfInput }, ctx.GetNodeName(opType), ""); 682var sumOfSquaresNode = ctx.CreateNode(opType, squareOfInput, sumOfSquares, ctx.GetNodeName(opType), ""); 687var squareRootNode = ctx.CreateNode(opType, sumOfSquares, squareRoot, ctx.GetNodeName(opType), ""); 690var l2Node = ctx.CreateNode(opType, new[] { inputMinusMean, squareRoot }, new[] { dstVariableName }, ctx.GetNodeName(opType), ""); 696var maxNode = ctx.CreateNode(opType, inputMinusMean, maxOfInput, ctx.GetNodeName(opType), ""); 700var lMaxNode = ctx.CreateNode(opType, new[] { inputMinusMean, maxOfInput }, new[] { dstVariableName }, ctx.GetNodeName(opType), ""); 708var squareOfInputMinusMeanNode = ctx.CreateNode(opType, new[] { inputMinusMean, two }, new[] { squareOfInputMinusMean }, ctx.GetNodeName(opType), ""); 712var sumOfSquaresNode = ctx.CreateNode(opType, squareOfInputMinusMean, average, ctx.GetNodeName(opType), ""); 717var stdDevNode = ctx.CreateNode(opType, average, stdDev, ctx.GetNodeName(opType), ""); 721var lStdDevNode = ctx.CreateNode(opType, new[] { input, stdDev }, new[] { dstVariableName }, ctx.GetNodeName(opType), "");
MissingValueIndicatorTransformer.cs (1)
477var nanNode = ctx.CreateNode(opType, srcVariableName, dstVariableName, ctx.GetNodeName(opType), "");
MissingValueReplacing.cs (1)
886var node = ctx.CreateNode(opType, srcVariableName, dstVariableName, ctx.GetNodeName(opType));
Text\NgramTransform.cs (2)
795var castNode = ctx.CreateNode(opType, srcVariableName, castOutput, ctx.GetNodeName(opType), ""); 803var node = ctx.CreateNode(opType, srcVariableName, dstVariableName, ctx.GetNodeName(opType), "");
Text\StopWordsRemovingTransformer.cs (2)
463var node = ctx.CreateNode(opType, srcVariableName, squeezeOutput, ctx.GetNodeName(opType), ""); 1154var node = ctx.CreateNode(opType, srcVariableName, squeezeOutput, ctx.GetNodeName(opType), "");
Text\TextNormalizing.cs (1)
243var node = ctx.CreateNode(opType, srcVariableName, squeezeOutput, ctx.GetNodeName(opType), "");
Text\TokenizingByCharacters.cs (2)
245var node = ctx.CreateNode(opType, srcVariableName, tokenizerOutput, ctx.GetNodeName(opType), "com.microsoft"); 266var castNode = ctx.CreateNode(opType, labelEncoderOutput, dstVariableName, ctx.GetNodeName(opType), "");
Text\WordEmbeddingsExtractor.cs (21)
444var nodeY = ctx.CreateNode("LabelEncoder", nameX, nameY, ctx.GetNodeName("LabelEncoder")); 452var nodeA = ctx.CreateNode("Equal", new[] { nameY, nameF }, new[] { nameA }, ctx.GetNodeName("Equal"), ""); 456var nodeB = ctx.CreateNode("Cast", nameA, nameB, ctx.GetNodeName("Cast"), ""); 461var nodeSMax = ctx.CreateNode("Scale", nameB, nameSMax, ctx.GetNodeName("Scale"), ""); 466var nodeVMin = ctx.CreateNode("Cast", nameA, nameVMin, ctx.GetNodeName("Cast"), ""); 470var nodeVMax = ctx.CreateNode("Cast", nameSMax, nameVMax, ctx.GetNodeName("Cast"), ""); 477var nodePMin = ctx.CreateNode("Add", new[] { nameY, nameVMin }, new[] { namePMin }, ctx.GetNodeName("Add"), ""); 480var nodePMax = ctx.CreateNode("Add", new[] { nameY, nameVMax }, new[] { namePMax }, ctx.GetNodeName("Add"), ""); 484var nodeGMin = ctx.CreateNode("Gather", new[] { nameD, namePMin }, new[] { nameGMin }, ctx.GetNodeName("Gather"), ""); 487var nodeGMax = ctx.CreateNode("Gather", new[] { nameD, namePMax }, new[] { nameGMax }, ctx.GetNodeName("Gather"), ""); 491var nodeJ = ctx.CreateNode("ReduceMin", nameGMin, nameJ, ctx.GetNodeName("ReduceMin"), ""); 495var nodeL = ctx.CreateNode("ReduceMax", nameGMax, nameL, ctx.GetNodeName("ReduceMax"), ""); 502var nodeW = ctx.CreateNode("Gather", new[] { nameD, nameY }, new[] { nameW }, ctx.GetNodeName("Gather"), ""); 506var nodeK = ctx.CreateNode("ReduceSum", nameW, nameK, ctx.GetNodeName("ReduceSum"), ""); 511var nodeQ = ctx.CreateNode("Not", nameA, nameQ, ctx.GetNodeName("Not"), ""); 515var nodeZ = ctx.CreateNode("Cast", nameQ, nameZ, ctx.GetNodeName("Cast"), ""); 520var nodeR = ctx.CreateNode("ReduceSum", nameZ, nameR, ctx.GetNodeName("ReduceSum"), ""); 525var nodeRF = ctx.CreateNode("Cast", nameR, nameRF, ctx.GetNodeName("Cast"), ""); 530var nodeT = ctx.CreateNode("Clip", nameRF, nameT, ctx.GetNodeName("Clip"), ""); 535var nodeE = ctx.CreateNode("Div", new[] { nameK, nameT }, new[] { nameE }, ctx.GetNodeName("Div"), ""); 539var nodeP = ctx.CreateNode("Concat", new[] { nameJ, nameE, nameL }, new[] { nameP }, ctx.GetNodeName("Concat"), "");
Text\WordTokenizing.cs (2)
410var tokenizerNode = ctx.CreateNode(opType, ctx.GetVariableName(column.InputColumnName), 421var reshapeNode = ctx.CreateNode(opType, new[] { intermediateVar, shape }, new[] { reshapeOutput }, ctx.GetNodeName(opType), "");