Yannick Estève / ONTRAC-Kaldi

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egs/wsj/s5/local/nnet2/run_5d.sh 2.21 KB
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8dcb6dfcb   Yannick Estève   first commit 
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  #!/bin/bash
  
  # This is pnorm neural net training on top of adapted 40-dimensional features.
  
  
  train_stage=-10
  use_gpu=true
  
  . ./cmd.sh
  . ./path.sh
  . utils/parse_options.sh
  
  
  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
    dir=exp/nnet5d_gpu
  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
    dir=exp/nnet5d
  fi
  
  . ./cmd.sh
  . utils/parse_options.sh
  
  if [ ! -f $dir/final.mdl ]; then
    if [ "$USER" == dpovey ]; then
       # spread the egs over various machines.  will help reduce overload of any
       # one machine.
       utils/create_split_dir.pl /export/b0{1,2,3,4}/dpovey/kaldi-pure/egs/wsj/s5/$dir/egs $dir/egs/storage
    fi
  
    steps/nnet2/train_pnorm_fast.sh --stage $train_stage \
     --samples-per-iter 400000 \
     --parallel-opts "$parallel_opts" \
     --num-threads "$num_threads" \
     --minibatch-size "$minibatch_size" \
     --num-jobs-nnet 8  --mix-up 8000 \
     --initial-learning-rate 0.02 --final-learning-rate 0.004 \
     --num-hidden-layers 4 \
     --pnorm-input-dim 2000 --pnorm-output-dim 400 \
     --cmd "$decode_cmd" \
      data/train_si284 data/lang exp/tri4b_ali_si284 $dir || exit 1
  fi
  
  
  steps/nnet2/decode.sh --cmd "$decode_cmd" --nj 10 \
     --transform-dir exp/tri4b/decode_tgpr_dev93 \
      exp/tri4b/graph_tgpr data/test_dev93 $dir/decode_tgpr_dev93 &
  
  steps/nnet2/decode.sh --cmd "$decode_cmd" --nj 8 \
    --transform-dir exp/tri4b/decode_tgpr_eval92 \
      exp/tri4b/graph_tgpr data/test_eval92 $dir/decode_tgpr_eval92 &
  
  steps/nnet2/decode.sh --cmd "$decode_cmd" --nj 10 \
     --transform-dir exp/tri4b/decode_bd_tgpr_dev93 \
      exp/tri4b/graph_bd_tgpr data/test_dev93 $dir/decode_bd_tgpr_dev93 &
  
  steps/nnet2/decode.sh --cmd "$decode_cmd" --nj 8 \
    --transform-dir exp/tri4b/decode_bd_tgpr_eval92 \
      exp/tri4b/graph_bd_tgpr data/test_eval92 $dir/decode_bd_tgpr_eval92
  
  
  wait;