Skip to content

F
Fairseq-S2T
Commit 876daed6 by xuchen
Options

update the shell scripts

parent 4b4603c0
正在显示 包含 78 行增加 和 220 行删除
egs/librispeech/asr/conf/pyramid.yaml
......@@ -9,7 +9,7 @@ pyramid-layers: 2_2_6_2
pyramid-sr-ratios: 2_2_2_2
pyramid-use-ppm: True
pyramid-embed-dims: 128_128_256_512
pyramid-reduced-embed: conv
pyramid-reduced-embed: fuse
pyramid-embed-norm: True
pyramid-position-embed: 1_1_1_1
pyramid-kernel-sizes: 5_5_5_5
......
egs/mustc/mt/binary.sh 100644 → 100755
File mode changed from 100644 to 100755
egs/mustc/mt/conf/dlcl.yaml 0 → 100644
use-enc-dlcl: True
use-dec-dlcl: True
egs/mustc/mt/conf/rpr.yaml 0 → 100644
#encoder-attention-type: rel_selfattn
encoder-attention-type: relative
decoder-attention-type: relative
max-encoder-relative-length: 20
max-decoder-relative-length: 20
egs/mustc/mt/conf/train_dlcl.yaml deleted 100644 → 0
train-subset: train
valid-subset: valid
max-epoch: 50
max-update: 100000
num-workers: 8
patience: 10
no-progress-bar: True
log-interval: 100
seed: 1
report-accuracy: True
skip-invalid-size-inputs-valid-test: True
#load-pretrained-encoder-from:
#load-pretrained-decoder-from:
arch: dlcl_transformer
share-decoder-input-output-embed: True
optimizer: adam
clip-norm: 10.0
lr-scheduler: inverse_sqrt
warmup-init-lr: 1e-7
warmup-updates: 8000
lr: 1e-3
adam_betas: (0.9,0.997)
criterion: label_smoothed_cross_entropy
label_smoothing: 0.1
dropout: 0.1
attention-dropout: 0.1
activation-dropout: 0.1
activation-fn: relu
encoder-normalize-before: True
decoder-normalize-before: True
encoder-embed-dim: 512
encoder-ffn-embed-dim: 2048
encoder-layers: 6
decoder-layers: 6
encoder-attention-heads: 8
decoder-embed-dim: 512
decoder-ffn-embed-dim: 2048
decoder-attention-heads: 8
use-enc-dlcl: True
use-dec-dlcl: True
\ No newline at end of file
egs/mustc/mt/conf/train_dlcl_rpr.yaml deleted 100644 → 0
train-subset: train
valid-subset: valid
max-epoch: 50
max-update: 100000
num-workers: 8
patience: 10
no-progress-bar: True
log-interval: 100
seed: 1
report-accuracy: True
skip-invalid-size-inputs-valid-test: True
#load-pretrained-encoder-from:
#load-pretrained-decoder-from:
arch: dlcl_transformer
share-decoder-input-output-embed: True
optimizer: adam
clip-norm: 10.0
lr-scheduler: inverse_sqrt
warmup-init-lr: 1e-7
warmup-updates: 8000
lr: 1e-3
adam_betas: (0.9,0.997)
criterion: label_smoothed_cross_entropy
label_smoothing: 0.1
dropout: 0.1
attention-dropout: 0.1
activation-dropout: 0.1
activation-fn: relu
encoder-normalize-before: True
decoder-normalize-before: True
encoder-embed-dim: 512
encoder-ffn-embed-dim: 2048
encoder-layers: 6
decoder-layers: 6
encoder-attention-heads: 8
decoder-embed-dim: 512
decoder-ffn-embed-dim: 2048
decoder-attention-heads: 8
encoder-attention-type: relative
decoder-attention-type: relative
max-encoder-relative-length: 20
max-decoder-relative-length: 20
use-enc-dlcl: True
use-dec-dlcl: True
egs/mustc/mt/conf/train_rpr.yaml deleted 100644 → 0
train-subset: train
valid-subset: valid
max-epoch: 50
max-update: 100000
num-workers: 8
patience: 10
no-progress-bar: True
log-interval: 100
seed: 1
report-accuracy: True
skip-invalid-size-inputs-valid-test: True
#load-pretrained-encoder-from:
#load-pretrained-decoder-from:
arch: transformer
share-decoder-input-output-embed: True
optimizer: adam
clip-norm: 10.0
lr-scheduler: inverse_sqrt
warmup-init-lr: 1e-7
warmup-updates: 8000
lr: 1e-3
adam_betas: (0.9,0.997)
criterion: label_smoothed_cross_entropy
label_smoothing: 0.1
dropout: 0.1
attention-dropout: 0.1
activation-dropout: 0.1
activation-fn: relu
encoder-normalize-before: True
decoder-normalize-before: True
encoder-embed-dim: 512
encoder-ffn-embed-dim: 2048
encoder-layers: 6
decoder-layers: 6
encoder-attention-heads: 8
decoder-embed-dim: 512
decoder-ffn-embed-dim: 2048
decoder-attention-heads: 8
encoder-attention-type: relative
decoder-attention-type: relative
max-encoder-relative-length: 20
max-decoder-relative-length: 20
egs/mustc/mt/decode.sh
......@@ -31,9 +31,9 @@ cmd="./run.sh
if [[ -n ${data_dir} ]]; then
cmd="$cmd --data_dir ${data_dir}"
fi
if [[ -n ${test_subset} ]]; then
test_subset=`echo ${test_subset[*]} | sed 's/ /,/g'`
cmd="$cmd --test_subset ${test_subset}"
if [[ ${#test_subset[@]} -ne 0 ]]; then
subsets=$(echo ${test_subset[*]} | sed 's/ /,/g')
cmd="$cmd --test_subset ${subsets}"
fi
echo $cmd
......
egs/mustc/mt/local/monitor.sh
gpu_num=1
gpu_num=4
cmd="sh train.sh"
while :
do
all_devices=$(seq 0 `gpustat | sed '1,2d' | wc -l`);
record=$(mktemp -t temp.record.XXXXXX)
gpustat > $record
all_devices=$(seq 0 "$(sed '1,2d' ${record} | wc -l)");
count=0
for dev in ${all_devices[@]}
do
line=`expr $dev + 2`
use=`gpustat -p | head -n $line | tail -1 | cut -d '|' -f4 | wc -w`
if [[ $use -eq 0 ]]; then
line=$((dev + 2))
use=$(head -n $line ${record} | tail -1 | cut -d '|' -f3 | cut -d '/' -f1)
if [[ $use -lt 100 ]]; then
device[$count]=$dev
count=`expr $count + 1`
count=$((count + 1))
if [[ $count -eq $gpu_num ]]; then
break
fi
......
egs/mustc/mt/local/path.sh deleted 100755 → 0
MAIN_ROOT=$PWD/../../..
KALDI_ROOT=$MAIN_ROOT/tools/kaldi
export PATH=$PWD/utils/:$KALDI_ROOT/tools/openfst/bin:$PATH
[ ! -f $KALDI_ROOT/tools/config/common_path.sh ] && echo >&2 "The standard file $KALDI_ROOT/tools/config/common_path.sh is not present -> Exit!" && exit 1
. $KALDI_ROOT/tools/config/common_path.sh
export LC_ALL=C
export LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:$MAIN_ROOT/src/lib
export LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:$MAIN_ROOT/tools/chainer_ctc/ext/warp-ctc/build
. "${MAIN_ROOT}"/tools/activate_python.sh && . "${MAIN_ROOT}"/tools/extra_path.sh
export PATH=$MAIN_ROOT/utils:$MAIN_ROOT/espnet/bin:$PATH
export OMP_NUM_THREADS=1
# check extra module installation
if ! which tokenizer.perl > /dev/null; then
echo "Error: it seems that moses is not installed." >&2
echo "Error: please install moses as follows." >&2
echo "Error: cd ${MAIN_ROOT}/tools && make moses.done" >&2
return 1
fi
# NOTE(kan-bayashi): Use UTF-8 in Python to avoid UnicodeDecodeError when LC_ALL=C
export PYTHONIOENCODING=UTF-8
egs/mustc/mt/local/utils.sh
......@@ -5,17 +5,18 @@ get_devices(){
device=()
while :
do
record=`mktemp -t temp.record.XXXXXX`
record=$(mktemp -t temp.record.XXXXXX)
gpustat > $record
all_devices=$(seq 0 `cat $record | sed '1,2d' | wc -l`);
all_devices=$(seq 0 "$(sed '1,2d' ${record} | wc -l)");
count=0
for dev in ${all_devices[@]}
do
line=`expr $dev + 2`
use=`cat $record | head -n $line | tail -1 | cut -d '|' -f3 | cut -d '/' -f1`
line=$((dev + 2))
use=$(head -n $line ${record} | tail -1 | cut -d '|' -f3 | cut -d '/' -f1)
if [[ $use -lt 100 ]]; then
device[$count]=$dev
count=`expr $count + 1`
count=$((count + 1))
if [[ $count -eq $gpu_num ]]; then
break
fi
......
egs/mustc/mt/run.sh
......@@ -32,13 +32,13 @@ src_lang=en
tgt_lang=de
lang=${src_lang}-${tgt_lang}
dataset=mustc-v2
dataset=mustc
task=translation
vocab_type=unigram
vocab_size=10000
share_dict=1
lcrm=1
tokenizer=1
lcrm=0
tokenizer=0
use_specific_dict=0
specific_prefix=wmt_share32k
......@@ -46,7 +46,7 @@ specific_dir=/home/xuchen/st/data/wmt/mt_lcrm/en-de/unigram32000_share
src_vocab_prefix=spm_unigram32000_share
tgt_vocab_prefix=spm_unigram32000_share
org_data_dir=/media/data/${dataset}
org_data_dir=~/st/data/${dataset}
data_dir=~/st/data/${dataset}/mt/${lang}
train_subset=train
valid_subset=dev
......@@ -54,14 +54,14 @@ trans_subset=tst-COMMON
test_subset=test
# exp
exp_prefix=${time}
exp_prefix=$(date "+%m%d")
extra_tag=
extra_parameter=
exp_tag=baseline
exp_name=
# config
train_config=train.yaml
train_config=base
# training setting
fp16=1
......@@ -103,10 +103,10 @@ fi
. ./local/parse_options.sh || exit 1;
# full path
train_config=$pwd_dir/conf/${train_config}
if [[ -z ${exp_name} ]]; then
exp_name=${exp_prefix}_$(basename ${train_config%.*})_${exp_tag}
config_string=${train_config//,/_}
# exp_name=${exp_prefix}_$(basename ${train_config%.*})_${exp_tag}
exp_name=${exp_prefix}_${config_string}_${exp_tag}
if [[ -n ${extra_tag} ]]; then
exp_name=${exp_name}_${extra_tag}
fi
......@@ -196,7 +196,7 @@ if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
if [[ -z ${device} || ${#device[@]} -eq 0 ]]; then
if [[ ${gpu_num} -eq 0 ]]; then
device=()
device=""
else
source ./local/utils.sh
device=$(get_devices $gpu_num 0)
......@@ -213,13 +213,32 @@ if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
cp ${BASH_SOURCE[0]} ${model_dir}
cp ${PWD}/train.sh ${model_dir}
cp ${train_config} ${model_dir}
config_list="${train_config//,/ }"
idx=0
for config in ${config_list[@]}
do
config_path=$pwd_dir/conf/${config}.yaml
if [[ ! -f ${config_path} ]]; then
echo "No config file ${config_path}"
exit
fi
cp ${config_path} ${model_dir}
if [[ idx -eq 0 ]]; then
extra_parameter="${extra_parameter}
--train-config ${config_path}"
else
extra_parameter="${extra_parameter}
--train-config${idx} ${config_path}"
fi
idx=$((idx + 1))
done
cmd="python3 -u ${root_dir}/fairseq_cli/train.py
${data_dir}
--source-lang ${src_lang}
--target-lang ${tgt_lang}
--train-config ${train_config}
--task ${task}
--max-tokens ${max_tokens}
--skip-invalid-size-inputs-valid-test
......@@ -290,8 +309,8 @@ if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
# save info
log=./history.log
echo "${time} | ${device} | ${data_dir} | ${model_dir} " >> $log
cat $log | tail -n 50 > tmp.log
echo "${time} | ${device} | ${data_dir} | ${exp_name} | ${model_dir} " >> $log
tail -n 50 ${log} > tmp.log
mv tmp.log $log
export CUDA_VISIBLE_DEVICES=${device}
......@@ -299,7 +318,7 @@ if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
if [[ $eval -eq 1 ]]; then
eval $cmd
sleep 2s
tail -n `wc -l ${model_dir}/train.log | awk '{print $1+1}'` -f ${model_dir}/train.log
tail -n "$(wc -l ${model_dir}/train.log | awk '{print $1+1}')" -f ${model_dir}/train.log
fi
fi
wait
......@@ -322,7 +341,7 @@ if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
if [[ -z ${device} || ${#device[@]} -eq 0 ]]; then
if [[ ${gpu_num} -eq 0 ]]; then
device=()
device=""
else
source ./local/utils.sh
device=$(get_devices $gpu_num 0)
......@@ -333,9 +352,8 @@ if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
result_file=${model_dir}/decode_result
[[ -f ${result_file} ]] && rm ${result_file}
test_subset=(${test_subset//,/ })
test_subset=${test_subset//,/ }
for subset in ${test_subset[@]}; do
subset=${subset}_st
cmd="python ${root_dir}/fairseq_cli/generate.py
${data_dir}
--source-lang ${src_lang}
......
egs/mustc/mt/train.sh
......@@ -2,18 +2,22 @@
# training the model
gpu_num=1
gpu_num=8
update_freq=1
max_tokens=4096
exp_tag=baseline
config_list=(base)
# exp full name
exp_name=
extra_tag=
extra_parameter=
#extra_tag="${extra_tag}"
#extra_parameter="${extra_parameter} "
exp_tag=baseline
train_config=train.yaml
train_config=$(echo ${config_list[*]} | sed 's/ /,/g')
cmd="./run.sh
--stage 1
......@@ -24,6 +28,9 @@ cmd="./run.sh
--max_tokens ${max_tokens}
"
if [[ -n ${exp_name} ]]; then
cmd="$cmd --exp_name ${exp_name}"
fi
if [[ -n ${exp_tag} ]]; then
cmd="$cmd --exp_tag ${exp_tag}"
fi
......@@ -34,5 +41,5 @@ if [[ -n ${extra_parameter} ]]; then
cmd="$cmd --extra_parameter \"${extra_parameter}\""
fi
echo $cmd
eval $cmd
echo ${cmd}
eval ${cmd}
egs/mustc/st/local/monitor.sh
gpu_num=1
gpu_num=4
cmd="sh train.sh"
while :
......
Markdown 格式
0% 或
您添加了 0 人 到此讨论。请谨慎行事。
请先完成此评论的编辑！
请 注册 或者 后发表评论