1 override of GetNodeName
Microsoft.ML.OnnxConverter (1)
OnnxContextImpl.cs (1)
130
public override string
GetNodeName
(string prefix)
182 references to GetNodeName
Microsoft.ML.Data (62)
Model\Onnx\OnnxContext.cs (2)
106
/// <param name="name">The name of the operator, which ought to be something returned from <see cref="
GetNodeName
(string)"/></param>
120
/// <param name="name">The name of the operator, which ought to be something returned from <see cref="OnnxContext.
GetNodeName
(string)"/></param>
Prediction\Calibrator.cs (8)
1308
var node = ctx.CreateNode(opType, new[] { outputNames[0], minVar }, new[] { subNodeOutput }, ctx.
GetNodeName
(opType), "");
1313
node = ctx.CreateNode(opType, new[] { subNodeOutput, binSizeVar }, new[] { divNodeOutput }, ctx.
GetNodeName
(opType), "");
1317
node = ctx.CreateNode(opType, divNodeOutput, castOutput, ctx.
GetNodeName
(opType), "");
1325
node = ctx.CreateNode(opType, new[] { castOutput, zeroVar, numBinsMinusOneVar }, new[] { binIndexOutput }, ctx.
GetNodeName
(opType), "");
1329
node = ctx.CreateNode(opType, new[] { binProbabilitiesVar, binIndexOutput }, new[] { outputNames[1] }, ctx.
GetNodeName
(opType), "");
1806
var node = ctx.CreateNode(opType, new[] { scoreProbablityColumnNames[0], slopVar }, new[] { mulNodeOutput }, ctx.
GetNodeName
(opType), "");
1811
node = ctx.CreateNode(opType, new[] { mulNodeOutput, betaVar }, new[] { linearOutput }, ctx.
GetNodeName
(opType), "");
1815
new[] { scoreProbablityColumnNames[1] }, ctx.
GetNodeName
(opType), "");
Scorers\BinaryClassifierScorer.cs (3)
204
node = ctx.CreateNode(opType, ctx.GetVariableName(scoreColumn), binarizerOutput, ctx.
GetNodeName
(opType));
213
ctx.CreateNode(opType, new[] { binarizerOutput, one }, new[] { addOutput }, ctx.
GetNodeName
(opType), "");
218
node = ctx.CreateNode(opType, comparisonOutput, ctx.GetVariableName(outColumnNames[0]), ctx.
GetNodeName
(opType), "");
Transforms\ColumnConcatenatingTransformer.cs (2)
941
new[] { vectorizerOutputName }, ctx.
GetNodeName
(opType));
947
var castNode = ctx.CreateNode(opType, vectorizerOutputName, dstVariableName, ctx.
GetNodeName
(opType), "");
Transforms\ColumnCopying.cs (1)
253
var node = ctx.CreateNode(opType, srcVariableName, dstVariableName, ctx.
GetNodeName
(opType), "");
Transforms\ColumnSelecting.cs (1)
749
ctx.CreateNode(opType, srcVariable, dstVariable, ctx.
GetNodeName
(opType), "");
Transforms\Hashing.cs (12)
1379
isZeroNode = ctx.CreateNode(optType2, srcVariable, castOutput, ctx.
GetNodeName
(optType2), "");
1385
ctx.CreateNode(optType2, new[] { castOutput, zero }, new[] { isGreaterThanZeroOutputBool }, ctx.
GetNodeName
(optType2), "");
1389
isZeroNode = ctx.CreateNode(optType2, isGreaterThanZeroOutputBool, isGreaterThanZeroOutput, ctx.
GetNodeName
(optType2), "");
1399
castNode = ctx.CreateNode("Cast", srcVariable, castOutput, ctx.
GetNodeName
(opType), "");
1401
murmurNode = ctx.CreateNode(opType, castOutput, murmurOutput, ctx.
GetNodeName
(opType), "com.microsoft");
1405
murmurNode = ctx.CreateNode(opType, srcVariable, murmurOutput, ctx.
GetNodeName
(opType), "com.microsoft");
1422
var shiftNode = ctx.CreateNode(opType, new[] { murmurOutput, shiftValue }, new[] { bitShiftOutput }, ctx.
GetNodeName
(opType), "");
1427
shiftNode = ctx.CreateNode(opType, new[] { bitShiftOutput, shiftValue }, new[] { bitShiftOutput2 }, ctx.
GetNodeName
(opType), "");
1433
castNode = ctx.CreateNode(opType, bitShiftOutput2, castOutput, ctx.
GetNodeName
(opType), "");
1440
ctx.CreateNode(opType, new[] { castOutput, one }, new[] { addOutput }, ctx.
GetNodeName
(opType), "");
1446
ctx.CreateNode(opType, new[] { isGreaterThanZeroOutput, addOutput }, new[] { mulOutput }, ctx.
GetNodeName
(opType), "");
1451
var castNodeFinal = ctx.CreateNode(opType, input, dstVariable, ctx.
GetNodeName
(opType), "");
Transforms\KeyToValue.cs (5)
513
var castNode = ctx.CreateNode(opType, srcVariableName, castNodeOutput, ctx.
GetNodeName
(opType), "");
527
var node = ctx.CreateNode(opType, castNodeOutput, labelEncoderOutput, ctx.
GetNodeName
(opType));
539
castNode = ctx.CreateNode(opType, labelEncoderOutput, dstVariableName, ctx.
GetNodeName
(opType), "");
553
castNode = ctx.CreateNode(opType, labelEncoderOutput, dstVariableName, ctx.
GetNodeName
(opType), "");
567
castNode = ctx.CreateNode(opType, labelEncoderOutput, dstVariableName, ctx.
GetNodeName
(opType), "");
Transforms\KeyToVector.cs (3)
713
var castNode = ctx.CreateNode(opType, srcVariableName, castOutput, ctx.
GetNodeName
(opType), "");
723
var node = ctx.CreateNode(opType, castOutput, encodedVariableName, ctx.
GetNodeName
(opType));
730
var reduceNode = ctx.CreateNode(opType, encodedVariableName, dstVariableName, ctx.
GetNodeName
(opType), "");
Transforms\Normalizer.cs (1)
840
var node = ctx.CreateNode(opType, srcVariableName, dstVariableName, ctx.
GetNodeName
(opType));
Transforms\SlotsDroppingTransformer.cs (2)
908
var node = ctx.CreateNode(opType, new[] { srcVariableName, slotsVar }, new[] { dstVariableName }, ctx.
GetNodeName
(opType), "");
924
ctx.CreateNode(opType, constVal, dstVariableName, ctx.
GetNodeName
(opType), "");
Transforms\TypeConverting.cs (1)
504
var node = ctx.CreateNode(opType, srcVariableName, dstVariableName, ctx.
GetNodeName
(opType), "");
Transforms\ValueMapping.cs (14)
1089
var castNode = ctx.CreateNode("Cast", srcVariableName, castOutput, ctx.
GetNodeName
("Cast"), "");
1091
node = ctx.CreateNode(opType, castOutput, labelEncoderOutput, ctx.
GetNodeName
(opType));
1130
node = ctx.CreateNode(opType, srcVariableName, labelEncoderOutput, ctx.
GetNodeName
(opType));
1178
node = ctx.CreateNode(opType, srcVariableName, labelEncoderOutput, ctx.
GetNodeName
(opType));
1193
node = ctx.CreateNode(opType, srcVariableName, labelEncoderOutput, ctx.
GetNodeName
(opType));
1201
var castNode = ctx.CreateNode("Cast", srcVariableName, castOutput, ctx.
GetNodeName
("Cast"), "");
1204
node = ctx.CreateNode(opType, castOutput, labelEncoderOutput, ctx.
GetNodeName
(opType));
1221
var castNode = ctx.CreateNode("Cast", labelEncoderOutput, dstVariableName, ctx.
GetNodeName
("Cast"), "");
1227
var castNode = ctx.CreateNode("Cast", labelEncoderOutput, dstVariableName, ctx.
GetNodeName
("Cast"), "");
1233
var castNode = ctx.CreateNode("Cast", labelEncoderOutput, dstVariableName, ctx.
GetNodeName
("Cast"), "");
1239
var castNode = ctx.CreateNode("Cast", labelEncoderOutput, dstVariableName, ctx.
GetNodeName
("Cast"), "");
1245
var castNode = ctx.CreateNode("Cast", labelEncoderOutput, dstVariableName, ctx.
GetNodeName
("Cast"), "");
1255
var castNode = ctx.CreateNode("Cast", labelEncoderOutput, dstVariableName, ctx.
GetNodeName
("Cast"), "");
1265
var castNode = ctx.CreateNode("Cast", labelEncoderOutput, dstVariableName, ctx.
GetNodeName
("Cast"), "");
Transforms\ValueToKeyMappingTransformer.cs (7)
792
var castNode = ctx.CreateNode("Cast", srcVariableName, castOutput, ctx.
GetNodeName
("Cast"), "");
795
node = ctx.CreateNode(opType, castOutput, labelEncoderOutput, ctx.
GetNodeName
(opType));
805
var castNode = ctx.CreateNode("Cast", srcVariableName, castOutput, ctx.
GetNodeName
("Cast"), "");
808
node = ctx.CreateNode(opType, castOutput, labelEncoderOutput, ctx.
GetNodeName
(opType));
827
node = ctx.CreateNode(opType, srcVariableName, labelEncoderOutput, ctx.
GetNodeName
(opType));
838
node = ctx.CreateNode(opType, srcVariableName, labelEncoderOutput, ctx.
GetNodeName
(opType));
896
castNode = ctx.CreateNode(opType, labelEncoderOutput, dstVariableName, ctx.
GetNodeName
(opType), "");
Microsoft.ML.FastTree (3)
FastTree.cs (1)
3108
var node = ctx.CreateNode(opType, new[] { featureColumn }, new[] { scoreVarName }, ctx.
GetNodeName
(opType));
FastTreeTweedie.cs (1)
544
ctx.CreateNode(opType, new[] { fastTreeOutput }, outputNames, ctx.
GetNodeName
(opType), "");
RandomForestRegression.cs (1)
228
ctx.CreateNode(opType, new[] { fastTreeOutput, numTrees }, outputNames, ctx.
GetNodeName
(opType), "");
Microsoft.ML.KMeansClustering (6)
KMeansModelParameters.cs (6)
338
var reduceNodeX2 = ctx.CreateNode("ReduceSumSquare", nameX, nameX2, ctx.
GetNodeName
("ReduceSumSquare"), "");
346
var gemmNodeXC2 = ctx.CreateNode("Gemm", new[] { nameX, nameC, zeroName }, new[] { nameXC2 }, ctx.
GetNodeName
("Gemm"), "");
352
var addNodeZ = ctx.CreateNode("Add", new[] { nameX2, nameXC2 }, new[] { nameZ }, ctx.
GetNodeName
("Add"), "");
356
var addNodeY = ctx.CreateNode("Add", new[] { nameZ, nameC2 }, new[] { nameY }, ctx.
GetNodeName
("Add"), "");
360
var predictNodeL = ctx.CreateNode("ArgMin", nameY, nameL, ctx.
GetNodeName
("ArgMin"), "");
366
var predictedNode = ctx.CreateNode("Cast", nameL, outputNames[0], ctx.
GetNodeName
("Cast"), "");
Microsoft.ML.Mkl.Components (2)
VectorWhitening.cs (2)
664
var node = ctx.CreateNode(opType, new[] { modelName, srcVariableName, zeroValueName }, new[] { gemmOutput }, ctx.
GetNodeName
(opType), "");
668
ctx.CreateNode(opType, new[] { gemmOutput }, new[] { dstVariableName }, ctx.
GetNodeName
(opType), "");
Microsoft.ML.PCA (2)
PcaTransformer.cs (2)
667
var transposeNode = ctx.CreateNode(opType, srcVariableName, transposeOutput, ctx.
GetNodeName
(opType), "");
670
var gemmNode = ctx.CreateNode(opType, new[] { transposeOutput, pcaMatrix, zeroMeanNode }, new[] { dstVariableName }, ctx.
GetNodeName
(opType), "");
Microsoft.ML.StandardTrainers (51)
Standard\LinearModelParameters.cs (2)
146
var node = ctx.CreateNode(opType, new[] { featureColumn }, new[] { scoreVarName }, ctx.
GetNodeName
(opType));
744
ctx.CreateNode(opType, new[] { linearRegressorOutput }, outputs, ctx.
GetNodeName
(opType), "");
Standard\LogisticRegression\MulticlassLogisticRegression.cs (3)
991
var node = ctx.CreateNode(opType, new[] { featureColumn }, new[] { classifierLabelOutput, outputs[1] }, ctx.
GetNodeName
(opType));
1000
var unsqueezeNode = ctx.CreateNode(opType, classifierLabelOutput, unsqueezeOutput, ctx.
GetNodeName
(opType), "");
1005
var castNode = ctx.CreateNode(opType, unsqueezeOutput, outputs[0], ctx.
GetNodeName
(opType), "");
Standard\MulticlassClassification\MulticlassNaiveBayesTrainer.cs (24)
457
ctx.CreateNode(opType, new[] { featureColumn, zero }, new[] { greaterOutput }, ctx.
GetNodeName
(opType), "");
461
var node = ctx.CreateNode(opType, greaterOutput, castOutput, ctx.
GetNodeName
(opType), "");
467
ctx.CreateNode(opType, new[] { castOutput, oneInt }, new[] { isFeaturePresent }, ctx.
GetNodeName
(opType), "com.microsoft");
472
ctx.CreateNode(opType, new[] { labelHistogram, trainingCount }, new[] { divOutput }, ctx.
GetNodeName
(opType), "");
476
ctx.CreateNode(opType, divOutput, logOutput, ctx.
GetNodeName
(opType), "");
481
ctx.CreateNode(opType, new[] { featureHistogramName, one }, new[] { sumOutput }, ctx.
GetNodeName
(opType), "");
489
ctx.CreateNode(opType, labelHistogramName, labelHistogramTrans, ctx.
GetNodeName
(opType), "");
493
ctx.CreateNode(opType, new[] { labelHistogramTrans, featureHistogramName }, new[] { absentFeatureCount }, ctx.
GetNodeName
(opType), "");
497
ctx.CreateNode(opType, new[] { labelHistogramTrans, labelCount }, new[] { sumOutput }, ctx.
GetNodeName
(opType), "");
505
ctx.CreateNode(opType, new[] { absentFeatureCount, one }, new[] { sumOutput }, ctx.
GetNodeName
(opType), "");
513
ctx.CreateNode(opType, new[] { logOutput1, logOutput2 }, new[] { logProb }, ctx.
GetNodeName
(opType), "");
517
ctx.CreateNode(opType, new[] { logOutput3, logOutput2 }, new[] { absentFeatureLogProb }, ctx.
GetNodeName
(opType), "");
521
node = ctx.CreateNode(opType, new[] { logProb }, new[] { logProbReduceSum }, ctx.
GetNodeName
(opType), "");
527
node = ctx.CreateNode(opType, new[] { absentFeatureLogProb }, new[] { absentFeatureLogProbReduceSum }, ctx.
GetNodeName
(opType), "");
532
node = ctx.CreateNode(opType, learnedAbsentFeatureLogProb, castOutput, ctx.
GetNodeName
(opType), "");
538
ctx.CreateNode(opType, new[] { castOutput, absentFeatureLogProbReduceSum }, new[] { subOutput }, ctx.
GetNodeName
(opType), "");
542
ctx.CreateNode(opType, new[] { subOutput, logProbReduceSum, logOutput }, new[] { sumOutput }, ctx.
GetNodeName
(opType), "");
545
var squeezeNode = ctx.CreateNode(opType, sumOutput, outputNames[1], ctx.
GetNodeName
(opType), "");
550
node = ctx.CreateNode(opType, new[] { sumOutput }, new[] { scoreIndex }, ctx.
GetNodeName
(opType), "");
556
node = ctx.CreateNode(opType, scoreIndex, castOutput, ctx.
GetNodeName
(opType), "");
563
ctx.CreateNode(opType, new[] { castOutput, one }, new[] { sumOutput }, ctx.
GetNodeName
(opType), "");
566
node = ctx.CreateNode(opType, sumOutput, outputNames[0], ctx.
GetNodeName
(opType), "");
577
ctx.CreateNode(opType, input, logOutput, ctx.
GetNodeName
(opType), "");
580
ctx.CreateNode(opType, new[] { logOutput, isFeaturePresent }, new[] { output }, ctx.
GetNodeName
(opType), "");
Standard\MulticlassClassification\OneVersusAllTrainer.cs (17)
563
var clipNode = ctx.CreateNode(opType, new[] { clipInput, zeroVar }, new[] { outputs[i] }, ctx.
GetNodeName
(opType), "");
578
var argMaxNode = ctx.CreateNode(opType, inputName, argMaxOutput, ctx.
GetNodeName
(opType), "");
585
var addNode = ctx.CreateNode(opType, new[] { argMaxOutput, one }, new[] { addOutput }, ctx.
GetNodeName
(opType), "");
588
var castToUint32Node = ctx.CreateNode(opType, addOutput, outputNames[0], ctx.
GetNodeName
(opType), "");
593
ctx.CreateNode(opType, inputName, outputNames[1], ctx.
GetNodeName
(opType), "");
670
var concatNode = ctx.CreateNode(opType, probabilityOutputs, new[] { concatOutput }, ctx.
GetNodeName
(opType), "");
803
ctx.CreateNode(opType, probabilityOutputs, new[] { sumOutput }, ctx.
GetNodeName
(opType), "");
807
var castNode = ctx.CreateNode(opType, sumOutput, castOutput, ctx.
GetNodeName
(opType), "");
813
ctx.CreateNode(opType, castOutput, notOutput, ctx.
GetNodeName
(opType), "");
817
var castIsZeroSumToFloatNode = ctx.CreateNode(opType, notOutput, castIsZeroSumToFloat, ctx.
GetNodeName
(opType), "");
824
new[] { sumOutputNonZero }, ctx.
GetNodeName
(opType), "");
831
ctx.CreateNode(opType, new[] { probabilityOutputs[i], sumOutputNonZero }, new[] { divOutputs[i] }, ctx.
GetNodeName
(opType), "");
837
var concatNode = ctx.CreateNode(opType, divOutputs, new[] { concatOutput }, ctx.
GetNodeName
(opType), "");
926
var concatNode = ctx.CreateNode(opType, probabilityOutputs, new[] { concatOutput }, ctx.
GetNodeName
(opType), "");
931
var expNode = ctx.CreateNode(opType, concatOutput, expOutput, ctx.
GetNodeName
(opType), "");
935
var sumNode = ctx.CreateNode(opType, expOutput, sumOutput, ctx.
GetNodeName
(opType), "");
942
var divNode = ctx.CreateNode(opType, new[] { expOutput, sumOutput }, new[] { divOutput }, ctx.
GetNodeName
(opType), "");
Standard\Simple\SimpleTrainers.cs (5)
418
ctx.CreateNode(opType, new[] { labelColumn, labelColumn }, new[] { xorOutput }, ctx.
GetNodeName
(opType), "");
422
ctx.CreateNode(opType, xorOutput, notOutput, ctx.
GetNodeName
(opType), "");
426
var node = ctx.CreateNode(opType, notOutput, castOutput, ctx.
GetNodeName
(opType), "");
431
ctx.CreateNode(opType, new[] { castOutput, prob }, new[] { probVarName }, ctx.
GetNodeName
(opType), "");
434
ctx.CreateNode(opType, new[] { castOutput, score }, new[] { scoreVarName }, ctx.
GetNodeName
(opType), "");
Microsoft.ML.Transforms (56)
GcnTransform.cs (16)
645
var node = ctx.CreateNode(opType, srcVariableName, dstVariableName, ctx.
GetNodeName
(opType));
652
var meanNode = ctx.CreateNode(opType, srcVariableName, meanOfInput, ctx.
GetNodeName
(opType), "");
657
var subtractNode = ctx.CreateNode(opType, new[] { srcVariableName, meanOfInput }, new[] { inputMinusMean }, ctx.
GetNodeName
(opType), "");
663
var absNode = ctx.CreateNode(opType, inputMinusMean, absOfInput, ctx.
GetNodeName
(opType), "");
667
var sumOfAbsNode = ctx.CreateNode(opType, absOfInput, sumOfAbsOfInput, ctx.
GetNodeName
(opType), "");
671
var l1Node = ctx.CreateNode(opType, new[] { inputMinusMean, sumOfAbsOfInput }, new[] { dstVariableName }, ctx.
GetNodeName
(opType), "");
678
var squareNode = ctx.CreateNode(opType, new[] { inputMinusMean, two }, new[] { squareOfInput }, ctx.
GetNodeName
(opType), "");
682
var sumOfSquaresNode = ctx.CreateNode(opType, squareOfInput, sumOfSquares, ctx.
GetNodeName
(opType), "");
687
var squareRootNode = ctx.CreateNode(opType, sumOfSquares, squareRoot, ctx.
GetNodeName
(opType), "");
690
var l2Node = ctx.CreateNode(opType, new[] { inputMinusMean, squareRoot }, new[] { dstVariableName }, ctx.
GetNodeName
(opType), "");
696
var maxNode = ctx.CreateNode(opType, inputMinusMean, maxOfInput, ctx.
GetNodeName
(opType), "");
700
var lMaxNode = ctx.CreateNode(opType, new[] { inputMinusMean, maxOfInput }, new[] { dstVariableName }, ctx.
GetNodeName
(opType), "");
708
var squareOfInputMinusMeanNode = ctx.CreateNode(opType, new[] { inputMinusMean, two }, new[] { squareOfInputMinusMean }, ctx.
GetNodeName
(opType), "");
712
var sumOfSquaresNode = ctx.CreateNode(opType, squareOfInputMinusMean, average, ctx.
GetNodeName
(opType), "");
717
var stdDevNode = ctx.CreateNode(opType, average, stdDev, ctx.
GetNodeName
(opType), "");
721
var lStdDevNode = ctx.CreateNode(opType, new[] { input, stdDev }, new[] { dstVariableName }, ctx.
GetNodeName
(opType), "");
MissingValueIndicatorTransformer.cs (1)
477
var nanNode = ctx.CreateNode(opType, srcVariableName, dstVariableName, ctx.
GetNodeName
(opType), "");
MissingValueReplacing.cs (1)
886
var node = ctx.CreateNode(opType, srcVariableName, dstVariableName, ctx.
GetNodeName
(opType));
Text\NgramTransform.cs (2)
795
var castNode = ctx.CreateNode(opType, srcVariableName, castOutput, ctx.
GetNodeName
(opType), "");
803
var node = ctx.CreateNode(opType, srcVariableName, dstVariableName, ctx.
GetNodeName
(opType), "");
Text\StopWordsRemovingTransformer.cs (6)
463
var node = ctx.CreateNode(opType, srcVariableName, squeezeOutput, ctx.
GetNodeName
(opType), "");
468
node = ctx.CreateNode(opType, squeezeOutput, stringNormalizerOutput, ctx.
GetNodeName
(opType), "");
479
node = ctx.CreateNode(opType, stringNormalizerOutput, dstVariableName, ctx.
GetNodeName
(opType), "");
1154
var node = ctx.CreateNode(opType, srcVariableName, squeezeOutput, ctx.
GetNodeName
(opType), "");
1159
node = ctx.CreateNode(opType, squeezeOutput, stringNormalizerOutput, ctx.
GetNodeName
(opType), "");
1165
node = ctx.CreateNode(opType, stringNormalizerOutput, dstVariableName, ctx.
GetNodeName
(opType), "");
Text\TextNormalizing.cs (3)
243
var node = ctx.CreateNode(opType, srcVariableName, squeezeOutput, ctx.
GetNodeName
(opType), "");
248
node = ctx.CreateNode(opType, squeezeOutput, normalizerOutput, ctx.
GetNodeName
(opType), "");
254
node = ctx.CreateNode(opType, normalizerOutput, dstVariableName, ctx.
GetNodeName
(opType), "");
Text\TokenizingByCharacters.cs (4)
245
var node = ctx.CreateNode(opType, srcVariableName, tokenizerOutput, ctx.
GetNodeName
(opType), "com.microsoft");
253
node = ctx.CreateNode(opType, tokenizerOutput, squeezeOutput, ctx.
GetNodeName
(opType), "");
258
node = ctx.CreateNode(opType, squeezeOutput, labelEncoderOutput, ctx.
GetNodeName
(opType));
266
var castNode = ctx.CreateNode(opType, labelEncoderOutput, dstVariableName, ctx.
GetNodeName
(opType), "");
Text\WordEmbeddingsExtractor.cs (21)
444
var nodeY = ctx.CreateNode("LabelEncoder", nameX, nameY, ctx.
GetNodeName
("LabelEncoder"));
452
var nodeA = ctx.CreateNode("Equal", new[] { nameY, nameF }, new[] { nameA }, ctx.
GetNodeName
("Equal"), "");
456
var nodeB = ctx.CreateNode("Cast", nameA, nameB, ctx.
GetNodeName
("Cast"), "");
461
var nodeSMax = ctx.CreateNode("Scale", nameB, nameSMax, ctx.
GetNodeName
("Scale"), "");
466
var nodeVMin = ctx.CreateNode("Cast", nameA, nameVMin, ctx.
GetNodeName
("Cast"), "");
470
var nodeVMax = ctx.CreateNode("Cast", nameSMax, nameVMax, ctx.
GetNodeName
("Cast"), "");
477
var nodePMin = ctx.CreateNode("Add", new[] { nameY, nameVMin }, new[] { namePMin }, ctx.
GetNodeName
("Add"), "");
480
var nodePMax = ctx.CreateNode("Add", new[] { nameY, nameVMax }, new[] { namePMax }, ctx.
GetNodeName
("Add"), "");
484
var nodeGMin = ctx.CreateNode("Gather", new[] { nameD, namePMin }, new[] { nameGMin }, ctx.
GetNodeName
("Gather"), "");
487
var nodeGMax = ctx.CreateNode("Gather", new[] { nameD, namePMax }, new[] { nameGMax }, ctx.
GetNodeName
("Gather"), "");
491
var nodeJ = ctx.CreateNode("ReduceMin", nameGMin, nameJ, ctx.
GetNodeName
("ReduceMin"), "");
495
var nodeL = ctx.CreateNode("ReduceMax", nameGMax, nameL, ctx.
GetNodeName
("ReduceMax"), "");
502
var nodeW = ctx.CreateNode("Gather", new[] { nameD, nameY }, new[] { nameW }, ctx.
GetNodeName
("Gather"), "");
506
var nodeK = ctx.CreateNode("ReduceSum", nameW, nameK, ctx.
GetNodeName
("ReduceSum"), "");
511
var nodeQ = ctx.CreateNode("Not", nameA, nameQ, ctx.
GetNodeName
("Not"), "");
515
var nodeZ = ctx.CreateNode("Cast", nameQ, nameZ, ctx.
GetNodeName
("Cast"), "");
520
var nodeR = ctx.CreateNode("ReduceSum", nameZ, nameR, ctx.
GetNodeName
("ReduceSum"), "");
525
var nodeRF = ctx.CreateNode("Cast", nameR, nameRF, ctx.
GetNodeName
("Cast"), "");
530
var nodeT = ctx.CreateNode("Clip", nameRF, nameT, ctx.
GetNodeName
("Clip"), "");
535
var nodeE = ctx.CreateNode("Div", new[] { nameK, nameT }, new[] { nameE }, ctx.
GetNodeName
("Div"), "");
539
var nodeP = ctx.CreateNode("Concat", new[] { nameJ, nameE, nameL }, new[] { nameP }, ctx.
GetNodeName
("Concat"), "");
Text\WordTokenizing.cs (2)
411
intermediateVar, ctx.
GetNodeName
(opType), "com.microsoft");
421
var reshapeNode = ctx.CreateNode(opType, new[] { intermediateVar, shape }, new[] { reshapeOutput }, ctx.
GetNodeName
(opType), "");