nnet-compute-discriminative-parallel.h
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// nnet2/nnet-compute-discriminative-parallel.h
// Copyright 2012-2013 Johns Hopkins University (author: Daniel Povey)
// See ../../COPYING for clarification regarding multiple authors
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// THIS CODE IS PROVIDED *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED
// WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,
// MERCHANTABLITY OR NON-INFRINGEMENT.
// See the Apache 2 License for the specific language governing permissions and
// limitations under the License.
#ifndef KALDI_NNET2_NNET_COMPUTE_DISCRIMINATIVE_PARALLEL_H_
#define KALDI_NNET2_NNET_COMPUTE_DISCRIMINATIVE_PARALLEL_H_
#include "nnet2/am-nnet.h"
#include "nnet2/nnet-example.h"
#include "hmm/transition-model.h"
#include "nnet2/nnet-compute-discriminative.h"
namespace kaldi {
namespace nnet2 {
/* This header provides a multi-threaded version of the discriminative training
code (this is for a CPU-based, instead of GPU-based, setup).
Note: we expect that "nnet_to_update" will be the same as "&(am_nnet.GetNnet())"
*/
void NnetDiscriminativeUpdateParallel(
const AmNnet &am_nnet,
const TransitionModel &tmodel,
const NnetDiscriminativeUpdateOptions &opts,
int32 num_threads,
SequentialDiscriminativeNnetExampleReader *example_reader,
Nnet *nnet_to_update,
NnetDiscriminativeStats *stats);
} // namespace nnet2
} // namespace kaldi
#endif // KALDI_NNET2_NNET_COMPUTE_DISCRIMINATIVE_PARALLEL_H_