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src/cudafeatbin/apply-cmvn-online-cuda.cc
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// online2bin/apply-cmvn-online.cc
// Copyright 2014 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.
#include <string>
#include <vector>
#include "base/kaldi-common.h"
#include "util/common-utils.h"
#include "feat/online-feature.h"
#include "cudafeat/feature-online-cmvn-cuda.h"
int main(int argc, char *argv[]) {
try {
typedef kaldi::int32 int32;
using namespace kaldi;
const char *usage =
"Apply online cepstral mean (and possibly variance) computation online,
"
"using the same code as used for online decoding in the 'new' setup in
"
"online2/ and online2bin/.'
"
"The computation is done on the device in serial. "
"spk2utt is not supported.
"
"
"
"Usage: apply-cmvn-online-cuda [options] <global-cmvn-stats> <feature-rspecifier> "
"<feature-wspecifier>
"
"e.g. apply-cmvn-online-cuda 'matrix-sum scp:data/train/cmvn.scp -|' data/train/split8/1/feats.scp ark:-
";
ParseOptions po(usage);
OnlineCmvnOptions cmvn_opts;
std::string spk2utt_rspecifier;
cmvn_opts.Register(&po);
po.Read(argc, argv);
if (po.NumArgs() != 3) {
po.PrintUsage();
exit(1);
}
g_cuda_allocator.SetOptions(g_allocator_options);
CuDevice::Instantiate().SelectGpuId("yes");
CuDevice::Instantiate().AllowMultithreading();
std::string global_stats_rxfilename = po.GetArg(1),
feature_rspecifier = po.GetArg(2),
feature_wspecifier = po.GetArg(3);
// global_cmvn_stats helps us initialize to online CMVN to
// reasonable values at the beginning of the utterance.
Matrix<double> global_cmvn_stats;
ReadKaldiObject(global_stats_rxfilename, &global_cmvn_stats);
BaseFloatMatrixWriter feature_writer(feature_wspecifier);
int32 num_done = 0;
int64 tot_t = 0;
OnlineCmvnState cmvn_state(global_cmvn_stats);
CudaOnlineCmvnState cu_cmvn_state(cmvn_state);
CudaOnlineCmvn cuda_cmvn(cmvn_opts, cu_cmvn_state);
SequentialBaseFloatMatrixReader feature_reader(feature_rspecifier);
for (; !feature_reader.Done(); feature_reader.Next()) {
std::string utt = feature_reader.Key();
const Matrix<BaseFloat> &feats = feature_reader.Value();
int32_t numRows = feats.NumRows();
int32_t numCols = feats.NumCols();
CuMatrix<BaseFloat> cu_feats_in(feats);
CuMatrix<BaseFloat> cu_feats_out(numRows, numCols, kUndefined);
Matrix<BaseFloat> normalized_feats(numRows, numCols, kUndefined);
cuda_cmvn.ComputeFeatures(cu_feats_in, &cu_feats_out);
normalized_feats.CopyFromMat(cu_feats_out);
num_done++;
tot_t += feats.NumRows();
feature_writer.Write(utt, normalized_feats);
num_done++;
}
KALDI_LOG << "Applied online CMVN to " << num_done << " files, or "
<< tot_t << " frames.";
return (num_done != 0 ? 0 : 1);
} catch(const std::exception &e) {
std::cerr << e.what();
return -1;
}
}
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