#include "nnet2/nnet-nnet.h"
#include "util/table-types.h"
#include "util/kaldi-semaphore.h"
#include "util/kaldi-thread.h"
#include "itf/options-itf.h"
#include "nnet2/nnet-update.h"

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Namespaces
	kaldi
	This code computes Goodness of Pronunciation (GOP) and extracts phone-level pronunciation feature for mispronunciations detection tasks, the reference:

	kaldi::nnet2

Functions
double	DoBackpropParallel (const Nnet &nnet, int32 minibatch_size, SequentialNnetExampleReader example_reader, double tot_weight, Nnet *nnet_to_update)
	This function is similar to "DoBackprop" in nnet-update.h This function computes the objective function and either updates the model or computes parameter gradients. More...

double	DoBackpropParallel (const Nnet &nnet, int32 minibatch_size, int32 num_threads, const std::vector< NnetExample > &examples, double num_frames, Nnet nnet_to_update)
	This version of DoBackpropParallel takes a vector of examples, and will typically be used to compute the exact gradient. More...

double	ComputeNnetObjfParallel (const Nnet &nnet, int32 minibatch_size, int32 num_threads, const std::vector< NnetExample > &examples, double *num_frames)
	This is basically to clarify the fact that DoBackpropParallel will also work with nnet_to_update == NULL, and will compute the objf. More...

Namespaces

Functions