delelted old pnorm scripts with wrong names

git-svn-id: https://svn.code.sf.net/p/kaldi/code/sandbox/dan2@3270 5e6a8d80-dfce-4ca6-a32a-6e07a63d50c8

egs/rm/s5/local/nnet2/run_4c_gpu_pnorm.sh

@@ -1,39 +0,0 @@
-#!/bin/bash
-
-# This is neural net training on top of adapted 40-dimensional features.
-# This version of the script uses GPUs.  We distinguish it by putting "_gpu"
-# at the end of the directory name.
-#
-# Since we're using one quarter the number of jobs (num-jobs-nnet) as the
-# run_4c.sh script, we halve the learning rate (generally speaking, splitting
-# the difference like this is probably a good idea.)
-
-
-parallel_opts="-l gpu=1,hostname=g*"  # This is suitable for the CLSP network, you'll likely have to change it.
-
-. cmd.sh
-
-dir=exp/nnet4c_gpu_pnorm_lr016004_dim1200600
-(  steps/nnet2/train_pnorm.sh  --num-epochs 20 \
-     --num-jobs-nnet 4 --num-threads 1 --parallel-opts "$parallel_opts" \
-     --num-epochs-extra 10 --add-layers-period 1 \
-     --num-hidden-layers 2 \
-     --mix-up 4000 \
-     --initial-learning-rate 0.016 --final-learning-rate 0.004 \
-     --cmd "$decode_cmd" \
-     --pnorm-input-dim 1200 \
-     --pnorm-output-dim 600 \
-     --stage -5 \
-     data/train data/lang exp/tri3b_ali $dir 
-
-   steps/nnet2/decode.sh --config conf/decode.config --cmd "$decode_cmd" --nj 20 \
-     --transform-dir exp/tri3b/decode \
-     exp/tri3b/graph data/test $dir/decode 
-
-   steps/nnet2/decode.sh --config conf/decode.config --cmd "$decode_cmd" --nj 20 \
-     --transform-dir exp/tri3b/decode_ug \
-     exp/tri3b/graph_ug data/test $dir/decode_ug
-
-)
-
-

egs/swbd/s5b/local/nnet2/run_5a_gpu_pnorm.sh

@@ -1,44 +0,0 @@
-#!/bin/bash
-
-# This runs on the 100 hour subset, using steps/nnet2/train_pnorm.sh.
-# e.g. of usage:
-# local/nnet2/run_5a_gpu.sh --temp-dir /export/m1-01/dpovey/kaldi-dan2/egs/swbd/s5b
-
-dir=nnet5a_gpu_2n02002_nl4_3000600
-temp_dir=
-
-train_stage=-10
-
-. cmd.sh
-
-
-. utils/parse_options.sh
-parallel_opts="-l gpu=1,hostname=g*"  # This is suitable for the CLSP network, you'll likely have to change it.
-
-( 
-  if [ ! -f exp/$dir/final.mdl ]; then
-    if [ ! -z "$temp_dir" ] && [ ! -e exp/$dir/egs ]; then
-      mkdir -p exp/$dir
-      mkdir -p $temp_dir/$dir/egs
-      ln -s $temp_dir/$dir/egs exp/$dir/
-    fi
-
-    steps/nnet2/train_pnorm.sh --stage $train_stage \
-      --num-jobs-nnet 8 --num-threads 1 --max-change 40.0 \
-      --minibatch-size 512 --parallel-opts "$parallel_opts" \
-      --mix-up 8000 \
-      --initial-learning-rate 0.02 --final-learning-rate 0.002 \
-      --num-hidden-layers 4 \
-      --pnorm-input-dim 3000 \
-      --pnorm-output-dim 600 \
-      --cmd "$decode_cmd" \
-      data/train_100k_nodup data/lang exp/tri4a exp/$dir || exit 1;
-  fi
-
-  for lm_suffix in tg fsh_tgpr; do
-    steps/nnet2/decode.sh --cmd "$decode_cmd" --nj 30 \
-      --config conf/decode.config --transform-dir exp/tri4a/decode_eval2000_sw1_${lm_suffix} \
-      exp/tri4a/graph_sw1_${lm_suffix} data/eval2000 exp/$dir/decode_eval2000_sw1_${lm_suffix} &
-  done
-)
-

egs/wsj/s5/local/nnet2/run_5c_gpu_pnorm.sh

@@ -1,50 +0,0 @@
-#!/bin/bash
-
-# This is pnorm neural net training on top of adapted 40-dimensional features.
-# 
-
-
-train_stage=-100
-temp_dir=  # e.g. --temp-dir /export/m1-02/dpovey/kaldi-dan2/egs/wsj/s5/
-parallel_opts="-l gpu=1,hostname=g*"  # This is suitable for the CLSP network, you'll likely have to change it.
-dir=exp/nnet5c_gpu_si284_2n02002_nl4_50001000
-
-# Note: since we multiplied the num-jobs by 1/4, we halved the
-# learning rate, relative to run_5c.sh
-. ./cmd.sh
-. utils/parse_options.sh
-
-( 
-
-  if [ ! -z "$temp_dir" ] && [ ! -e $dir/egs ]; then
-    mkdir -p $dir
-    mkdir -p $temp_dir/$dir/egs
-    ln -s $temp_dir/$dir/egs $dir/
-  fi
-
-  steps/nnet2/train_pnorm.sh \
-   --num-jobs-nnet 4 --num-threads 1 --parallel-opts "$parallel_opts" \
-   --mix-up 8000 \
-   --initial-learning-rate 0.02 --final-learning-rate 0.002 \
-   --num-hidden-layers 4 \
-   --pnorm-input-dim 5000 --pnorm-output-dim 1000\
-   --cmd "$decode_cmd" \
-   --p 2 \
-    data/train_si284 data/lang exp/tri4b_ali_si284 $dir || exit 1
-  steps/decode_nnet_cpu.sh --cmd "$decode_cmd" --nj 10 \
-    --transform-dir exp/tri4b/decode_tgpr_dev93 \
-     exp/tri4b/graph_tgpr data/test_dev93 $dir/decode_tgpr_dev93
-
-  steps/decode_nnet_cpu.sh --cmd "$decode_cmd" --nj 8 \
-    --transform-dir exp/tri4b/decode_tgpr_eval92 \
-     exp/tri4b/graph_tgpr data/test_eval92 $dir/decode_tgpr_eval92
-
-  steps/decode_nnet_cpu.sh --cmd "$decode_cmd" --nj 10 \
-    --transform-dir exp/tri4b/decode_bd_tgpr_dev93 \
-     exp/tri4b/graph_bd_tgpr data/test_dev93 $dir/decode_bd_tgpr_dev93
-
-  steps/decode_nnet_cpu.sh --cmd "$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
-)
-