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Merged
danpovey merged 1 commit into from
Mar 7, 2018
Merged

nnet1_logs: #2261

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36 changes: 19 additions & 17 deletions src/nnetbin/nnet-train-frmshuff.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -159,21 +159,24 @@ int main(int argc, char *argv[]) {

CuMatrix<BaseFloat> feats_transf, nnet_out, obj_diff;

Timer time;
Timer time, time_io;
KALDI_LOG << (crossvalidate ? "CROSS-VALIDATION" : "TRAINING")
<< " STARTED";

int32 num_done = 0,
num_no_tgt_mat = 0,
num_other_error = 0;

double time_io_accu = 0.0;

// main loop,
while (!feature_reader.Done()) {
#if HAVE_CUDA == 1
// check that GPU computes accurately,
CuDevice::Instantiate().CheckGpuHealth();
#endif
// fill the randomizer,
time_io.Reset();
for ( ; !feature_reader.Done(); feature_reader.Next()) {
if (feature_randomizer.IsFull()) {
// break the loop without calling Next(),
Expand Down Expand Up @@ -219,6 +222,10 @@ int main(int argc, char *argv[]) {
weights.Scale(w);
}

// accumulate the I/O time,
time_io_accu += time_io.Elapsed();
time_io.Reset(); // to be sure we don't count 2x,

// skip too long utterances (or we run out of memory),
if (mat.NumRows() > max_frames) {
KALDI_WARN << "Utterance too long, skipping! " << utt
Expand Down Expand Up @@ -299,13 +306,7 @@ int main(int argc, char *argv[]) {
weights_randomizer.AddData(weights);
num_done++;

// report the speed,
if (num_done % 5000 == 0) {
double time_now = time.Elapsed();
KALDI_VLOG(1) << "After " << num_done << " utterances: "
<< "time elapsed = " << time_now / 60 << " min; "
<< "processed " << total_frames / time_now << " frames per sec.";
}
time_io.Reset(); // reset before reading next feature matrix,
}

// randomize,
Expand Down Expand Up @@ -350,11 +351,11 @@ int main(int argc, char *argv[]) {

// 1st mini-batch : show what happens in network,
if (total_frames == 0) {
KALDI_VLOG(1) << "### After " << total_frames << " frames,";
KALDI_VLOG(1) << nnet.InfoPropagate();
KALDI_LOG << "### After " << total_frames << " frames,";
KALDI_LOG << nnet.InfoPropagate();
if (!crossvalidate) {
KALDI_VLOG(1) << nnet.InfoBackPropagate();
KALDI_VLOG(1) << nnet.InfoGradient();
KALDI_LOG << nnet.InfoBackPropagate();
KALDI_LOG << nnet.InfoGradient();
}
}

Expand All @@ -380,11 +381,11 @@ int main(int argc, char *argv[]) {
} // main loop,

// after last mini-batch : show what happens in network,
KALDI_VLOG(1) << "### After " << total_frames << " frames,";
KALDI_VLOG(1) << nnet.InfoPropagate();
KALDI_LOG << "### After " << total_frames << " frames,";
KALDI_LOG << nnet.InfoPropagate();
if (!crossvalidate) {
KALDI_VLOG(1) << nnet.InfoBackPropagate();
KALDI_VLOG(1) << nnet.InfoGradient();
KALDI_LOG << nnet.InfoBackPropagate();
KALDI_LOG << nnet.InfoGradient();
}

if (!crossvalidate) {
Expand All @@ -397,7 +398,8 @@ int main(int argc, char *argv[]) {
<< "[" << (crossvalidate ? "CROSS-VALIDATION" : "TRAINING")
<< ", " << (randomize ? "RANDOMIZED" : "NOT-RANDOMIZED")
<< ", " << time.Elapsed() / 60 << " min, processing "
<< total_frames / time.Elapsed() << " frames per sec.]";
<< total_frames / time.Elapsed() << " frames per sec;"
<< " i/o time " << 100.*time_io_accu/time.Elapsed() << "%]";

if (objective_function == "xent") {
KALDI_LOG << xent.ReportPerClass();
Expand Down
36 changes: 11 additions & 25 deletions src/nnetbin/nnet-train-multistream-perutt.cc
View file
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Original file line number Diff line number Diff line change
Expand Up @@ -282,7 +282,6 @@ int main(int argc, char *argv[]) {
os << frame_num_utt[i] << " ";
}
os << "]";

KALDI_LOG << "frame_num_utt[" << frame_num_utt.size() << "]" << os.str();
}
// Reset all the streams (we have new sentences),
Expand All @@ -301,31 +300,20 @@ int main(int argc, char *argv[]) {

// 1st model update : show what happens in network,
if (total_frames == 0) {
KALDI_VLOG(1) << "### After " << total_frames << " frames,";
KALDI_VLOG(1) << nnet.Info();
KALDI_VLOG(1) << nnet.InfoPropagate();
KALDI_LOG << "### After " << total_frames << " frames,";
KALDI_LOG << nnet.Info();
KALDI_LOG << nnet.InfoPropagate();
if (!crossvalidate) {
KALDI_VLOG(1) << nnet.InfoBackPropagate();
KALDI_VLOG(1) << nnet.InfoGradient();
KALDI_LOG << nnet.InfoBackPropagate();
KALDI_LOG << nnet.InfoGradient();
}
}

int32 tmp_done = num_done;
kaldi::int64 tmp_frames = total_frames;

num_done += frame_num_utt.size();
total_frames += std::accumulate(frame_num_utt.begin(), frame_num_utt.end(), 0);

// report the speed,
int32 N = 5000;
if (tmp_done / N != num_done / N) {
double time_now = time.Elapsed();
KALDI_VLOG(1) << "After " << num_done << " utterances, "
<< "(" << total_frames/360000.0 << "h), "
<< "time elapsed = " << time_now / 60 << " min; "
<< "processed " << total_frames / time_now << " frames per sec.";
}

// monitor the NN training (--verbose=2),
int32 F = 25000;
if (GetVerboseLevel() >= 3) {
Expand All @@ -343,14 +331,12 @@ int main(int argc, char *argv[]) {
}

// after last model update : show what happens in network,
if (GetVerboseLevel() >= 1) { // vlog-1
KALDI_VLOG(1) << "### After " << total_frames << " frames,";
KALDI_VLOG(1) << nnet.Info();
KALDI_VLOG(1) << nnet.InfoPropagate();
if (!crossvalidate) {
KALDI_VLOG(1) << nnet.InfoBackPropagate();
KALDI_VLOG(1) << nnet.InfoGradient();
}
KALDI_LOG << "### After " << total_frames << " frames,";
KALDI_LOG << nnet.Info();
KALDI_LOG << nnet.InfoPropagate();
if (!crossvalidate) {
KALDI_LOG << nnet.InfoBackPropagate();
KALDI_LOG << nnet.InfoGradient();
}

if (!crossvalidate) {
Expand Down
32 changes: 10 additions & 22 deletions src/nnetbin/nnet-train-multistream.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -360,7 +360,6 @@ int main(int argc, char *argv[]) {
os << frame_num_utt[i] << " ";
}
os << "]";

KALDI_LOG << "frame_num_utt[" << frame_num_utt.size() << "]" << os.str();
}

Expand All @@ -387,31 +386,20 @@ int main(int argc, char *argv[]) {

// 1st minibatch : show what happens in network,
if (total_frames == 0) {
KALDI_VLOG(1) << "### After " << total_frames << " frames,";
KALDI_VLOG(1) << nnet.Info();
KALDI_VLOG(1) << nnet.InfoPropagate();
KALDI_LOG << "### After " << total_frames << " frames,";
KALDI_LOG << nnet.Info();
KALDI_LOG << nnet.InfoPropagate();
if (!crossvalidate) {
KALDI_VLOG(1) << nnet.InfoBackPropagate();
KALDI_VLOG(1) << nnet.InfoGradient();
KALDI_LOG << nnet.InfoBackPropagate();
KALDI_LOG << nnet.InfoGradient();
}
}

int32 tmp_done = num_done;
kaldi::int64 tmp_frames = total_frames;

num_done += std::accumulate(new_utt_flags.begin(), new_utt_flags.end(), 0);
total_frames += std::accumulate(frame_num_utt.begin(), frame_num_utt.end(), 0);

// report the speed,
int32 N = 5000;
if (tmp_done / N != num_done / N) {
double time_now = time.Elapsed();
KALDI_VLOG(1) << "After " << num_done << " utterances, "
<< "(" << total_frames/360000.0 << "h), "
<< "time elapsed = " << time_now / 60 << " min; "
<< "processed " << total_frames / time_now << " frames per sec.";
}

// monitor the NN training (--verbose=2),
int32 F = 25000;
if (GetVerboseLevel() >= 2) {
Expand All @@ -429,12 +417,12 @@ int main(int argc, char *argv[]) {
}

// after last minibatch : show what happens in network,
KALDI_VLOG(1) << "### After " << total_frames << " frames,";
KALDI_VLOG(1) << nnet.Info();
KALDI_VLOG(1) << nnet.InfoPropagate();
KALDI_LOG << "### After " << total_frames << " frames,";
KALDI_LOG << nnet.Info();
KALDI_LOG << nnet.InfoPropagate();
if (!crossvalidate) {
KALDI_VLOG(1) << nnet.InfoBackPropagate();
KALDI_VLOG(1) << nnet.InfoGradient();
KALDI_LOG << nnet.InfoBackPropagate();
KALDI_LOG << nnet.InfoGradient();
}

if (!crossvalidate) {
Expand Down
29 changes: 8 additions & 21 deletions src/nnetbin/nnet-train-perutt.cc
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -238,11 +238,11 @@ int main(int argc, char *argv[]) {

// 1st minibatch : show what happens in network,
if (total_frames == 0) {
KALDI_VLOG(1) << "### After " << total_frames << " frames,";
KALDI_VLOG(1) << nnet.InfoPropagate();
KALDI_LOG << "### After " << total_frames << " frames,";
KALDI_LOG << nnet.InfoPropagate();
if (!crossvalidate) {
KALDI_VLOG(1) << nnet.InfoBackPropagate();
KALDI_VLOG(1) << nnet.InfoGradient();
KALDI_LOG << nnet.InfoBackPropagate();
KALDI_LOG << nnet.InfoGradient();
}
}

Expand All @@ -265,27 +265,14 @@ int main(int argc, char *argv[]) {

num_done++;
total_frames += frm_weights.Sum();

// do this every 5000 utterances,
if (num_done % 5000 == 0) {
// report the speed,
double time_now = time.Elapsed();
KALDI_VLOG(1) << "After " << num_done << " utterances: "
<< "time elapsed = " << time_now / 60 << " min; "
<< "processed " << total_frames / time_now << " frames per sec.";
#if HAVE_CUDA == 1
// check that GPU computes accurately,
CuDevice::Instantiate().CheckGpuHealth();
#endif
}
} // main loop,

// after last minibatch : show what happens in network,
KALDI_VLOG(1) << "### After " << total_frames << " frames,";
KALDI_VLOG(1) << nnet.InfoPropagate();
KALDI_LOG << "### After " << total_frames << " frames,";
KALDI_LOG << nnet.InfoPropagate();
if (!crossvalidate) {
KALDI_VLOG(1) << nnet.InfoBackPropagate();
KALDI_VLOG(1) << nnet.InfoGradient();
KALDI_LOG << nnet.InfoBackPropagate();
KALDI_LOG << nnet.InfoGradient();
}

if (!crossvalidate) {
Expand Down