Yannick Estève / ONTRAC-Kaldi

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egs/wsj/s5/local/nnet2/run_bnf.sh 4.13 KB
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8dcb6dfcb   Yannick Estève   first commit 
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  #!/bin/bash
  
  # Note: In order to run BNF, run run_bnf.sh
  . ./path.sh
  . ./cmd.sh
  
  set -e
  set -o pipefail
  set -u
  
  . utils/parse_options.sh
  use_gpu=true
  if $use_gpu; then
    if ! cuda-compiled; then
      cat <<EOF && exit 1
  This script is intended to be used with GPUs but you have not compiled Kaldi with CUDA
  If you want to use GPUs (and have them), go to src/, and configure and make on a machine
  where "nvcc" is installed.
  EOF
    fi
    parallel_opts="--gpu 1"
    num_threads=1
    minibatch_size=512
  else
    # Use 4 nnet jobs just like run_4d_gpu.sh so the results should be
    # almost the same, but this may be a little bit slow.
    num_threads=16
    parallel_opts="--num-threads $num_threads"
    minibatch_size=128
  fi
  
  bnf_train_stage=-100
  align_dir=exp/tri4b_ali_si284
  if [ ! -f exp_bnf/tri6_bnf/.done ]; then
    mkdir -p exp_bnf
    mkdir -p exp_bnf/tri6_bnf
    echo ---------------------------------------------------------------------
    echo "Starting training the bottleneck network"
    echo ---------------------------------------------------------------------
    steps/nnet2/train_tanh_bottleneck.sh \
      --stage $bnf_train_stage --num-jobs-nnet 4 \
      --num-threads $num_threads --mix-up 5000 --max-change 40 \
      --minibatch-size $minibatch_size --parallel-opts "$parallel_opts" \
      --cmd "$train_cmd --mem 2G"\
      --initial-learning-rate 0.005 \
      --final-learning-rate 0.0005 \
      --num-hidden-layers 5 \
      --bottleneck-dim 42 --hidden-layer-dim 1024 \
      data/train_si284 data/lang $align_dir exp_bnf/tri6_bnf || exit 1
    touch exp_bnf/tri6_bnf/.done
  fi
  
  [ ! -d param_bnf ] && mkdir -p param_bnf
  if [ ! -f data_bnf/train_bnf/.done ]; then
    mkdir -p data_bnf
    # put the archives in param_bnf/.
    steps/nnet2/dump_bottleneck_features.sh --cmd "$train_cmd" \
      --transform-dir exp/tri4a  data/train_si284 data_bnf/train_bnf exp_bnf/tri6_bnf param_bnf exp_bnf/dump_bnf
    touch data_bnf/train_bnf/.done
  fi
  
  [ ! -d data/test_eval92 ] && echo "No such directory data/test_eval92" && exit 1;
  [ ! -d data/test_dev93 ] && echo "No such directory data/test_dev93" && exit 1;
  [ ! -d exp/tri4b/decode_bd_tgpr_eval92 ] && echo "No such directory exp/tri4b/decode_bd_tgpr_eval92" && exit 1;
  [ ! -d exp/tri4b/decode_bd_tgpr_dev93 ] && echo "No such directory exp/tri4b/decode_bd_tgpr_dev93" && exit 1;
  # put the archives in param_bnf/.
  steps/nnet2/dump_bottleneck_features.sh --nj 8 \
    --transform-dir exp/tri4b/decode_bd_tgpr_eval92 data/test_eval92 data_bnf/eval92_bnf exp_bnf/tri6_bnf param_bnf exp_bnf/dump_bnf
  
  steps/nnet2/dump_bottleneck_features.sh --nj 10 \
    --transform-dir exp/tri4b/decode_bd_tgpr_dev93 data/test_dev93 data_bnf/dev93_bnf exp_bnf/tri6_bnf param_bnf exp_bnf/dump_bnf
  
  
  
  if [ ! data_bnf/train/.done -nt data_bnf/train_bnf/.done ]; then
    steps/nnet/make_fmllr_feats.sh --cmd "$train_cmd --max-jobs-run 10" \
       --transform-dir $align_dir  data_bnf/train_sat data/train_si284 \
      exp/tri4b exp_bnf/make_fmllr_feats/log param_bnf/
  
    steps/append_feats.sh --cmd "$train_cmd" --nj 4 \
      data_bnf/train_bnf data_bnf/train_sat data_bnf/train \
      exp_bnf/append_feats/log param_bnf/
    steps/compute_cmvn_stats.sh --fake data_bnf/train exp_bnf/make_fmllr_feats param_bnf
    rm -r data_bnf/train_sat
  
    touch data_bnf/train/.done
  fi
  ## preparing Bottleneck features for eval92 and dev93
  steps/nnet/make_fmllr_feats.sh \
    --nj 8 --transform-dir exp/tri4b/decode_bd_tgpr_eval92 data_bnf/eval92_sat data/test_eval92 \
    $align_dir exp_bnf/make_fmllr_feats/log param_bnf/
  steps/nnet/make_fmllr_feats.sh \
    --nj 10 --transform-dir exp/tri4b/decode_bd_tgpr_dev93 data_bnf/dev93_sat data/test_dev93 \
    $align_dir exp_bnf/make_fmllr_feats/log param_bnf/
  
  steps/append_feats.sh --nj 4 \
    data_bnf/eval92_bnf data_bnf/eval92_sat data_bnf/eval92 \
    exp_bnf/append_feats/log param_bnf/
  steps/append_feats.sh --nj 4 \
    data_bnf/dev93_bnf data_bnf/dev93_sat data_bnf/dev93 \
    exp_bnf/append_feats/log param_bnf/
  
  steps/compute_cmvn_stats.sh --fake data_bnf/eval92 exp_bnf/make_fmllr_feats param_bnf
  steps/compute_cmvn_stats.sh --fake data_bnf/dev93 exp_bnf/make_fmllr_feats param_bnf
  
  rm -r data_bnf/eval92_sat
  rm -r data_bnf/dev93_sat
  
  # you can run sgmm2 on this bottleneck features
  local/run_bnf_sgmm.sh
  
  exit 0;