#include "cudamatrix/cu-matrixdim.h"
#include <iostream>
#include <sstream>
#include "base/kaldi-error.h"
#include "matrix/matrix-common.h"
Go to the source code of this file.
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| This code computes Goodness of Pronunciation (GOP) and extracts phone-level pronunciation feature for mispronunciations detection tasks, the reference:
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◆ NVTX_RANGE
#define NVTX_RANGE |
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Definition at line 143 of file cu-common.h.
Referenced by PnormComponent::Backprop(), DistributeComponent::Backprop(), NormalizeComponent::Backprop(), DropoutComponent::Backprop(), RestrictedAttentionComponent::Backprop(), ConvolutionComponent::Backprop(), ElementwiseProductComponent::Backprop(), BatchNormComponent::Backprop(), StatisticsExtractionComponent::Backprop(), SigmoidComponent::Backprop(), TimeHeightConvolutionComponent::Backprop(), TanhComponent::Backprop(), LstmNonlinearityComponent::Backprop(), RectifiedLinearComponent::Backprop(), StatisticsPoolingComponent::Backprop(), AffineComponent::Backprop(), TdnnComponent::Backprop(), BackpropTruncationComponent::Backprop(), MaxpoolingComponent::Backprop(), BlockAffineComponent::Backprop(), RepeatedAffineComponent::Backprop(), ConstantComponent::Backprop(), SoftmaxComponent::Backprop(), LogSoftmaxComponent::Backprop(), GeneralDropoutComponent::Backprop(), LinearComponent::Backprop(), FixedAffineComponent::Backprop(), SpecAugmentTimeMaskComponent::Backprop(), SumGroupComponent::Backprop(), FixedScaleComponent::Backprop(), FixedBiasComponent::Backprop(), NoOpComponent::Backprop(), SumBlockComponent::Backprop(), ClipGradientComponent::Backprop(), PermuteComponent::Backprop(), PerElementScaleComponent::Backprop(), PerElementOffsetComponent::Backprop(), ConstantFunctionComponent::Backprop(), ScaleAndOffsetComponent::Backprop(), CompositeComponent::Backprop(), LstmNonlinearityComponent::ConsolidateMemory(), NnetComputer::ExecuteCommand(), OnlineNaturalGradient::PreconditionDirections(), OnlineNaturalGradient::PreconditionDirectionsInternal(), NnetChainTrainer::ProcessOutputs(), NnetComputer::Run(), NnetChainTrainer::Train(), NnetChainTrainer::TrainInternal(), TdnnComponent::UpdateNaturalGradient(), and TdnnComponent::UpdateSimple().