108 lines
3.3 KiB
Bash
Executable file
108 lines
3.3 KiB
Bash
Executable file
#!/usr/bin/env bash
|
|
|
|
# Copyright (c) 2019 NVIDIA CORPORATION. All rights reserved.
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
|
|
echo "Container nvidia build = " $NVIDIA_BUILD_ID
|
|
|
|
batch_size=${1:-"8"}
|
|
learning_rate=${2:-"5e-6"}
|
|
precision=${3:-"fp16"}
|
|
use_xla=${4:-"true"}
|
|
num_gpu=${5:-"8"}
|
|
seq_length=${6:-"384"}
|
|
doc_stride=${7:-"128"}
|
|
bert_model=${8:-"large"}
|
|
|
|
if [ "$bert_model" = "large" ] ; then
|
|
export BERT_DIR=data/download/google_pretrained_weights/uncased_L-24_H-1024_A-16
|
|
else
|
|
export BERT_DIR=data/download/google_pretrained_weights/uncased_L-12_H-768_A-12
|
|
fi
|
|
|
|
squad_version=${9:-"1.1"}
|
|
|
|
export SQUAD_DIR=data/download/squad/v${squad_version}
|
|
if [ "$squad_version" = "1.1" ] ; then
|
|
version_2_with_negative="False"
|
|
else
|
|
version_2_with_negative="True"
|
|
fi
|
|
|
|
init_checkpoint=${10:-"$BERT_DIR/bert_model.ckpt"}
|
|
epochs=${11:-"2.0"}
|
|
|
|
echo "Squad directory set as " $SQUAD_DIR " BERT directory set as " $BERT_DIR
|
|
|
|
use_fp16=""
|
|
if [ "$precision" = "fp16" ] ; then
|
|
echo "fp16 activated!"
|
|
use_fp16="--use_fp16"
|
|
fi
|
|
|
|
if [ "$use_xla" = "true" ] ; then
|
|
use_xla_tag="--use_xla"
|
|
echo "XLA activated"
|
|
else
|
|
use_xla_tag=""
|
|
fi
|
|
|
|
if [ $num_gpu -gt 1 ] ; then
|
|
mpi_command="mpirun -np $num_gpu -H localhost:$num_gpu \
|
|
--allow-run-as-root -bind-to none -map-by slot \
|
|
-x NCCL_DEBUG=INFO \
|
|
-x LD_LIBRARY_PATH \
|
|
-x PATH -mca pml ob1 -mca btl ^openib"
|
|
else
|
|
mpi_command=""
|
|
fi
|
|
|
|
export GBS=$(expr $batch_size \* $num_gpu)
|
|
printf -v TAG "tf_bert_finetuning_squad_%s_%s_gbs%d" "$bert_model" "$precision" $GBS
|
|
DATESTAMP=`date +'%y%m%d%H%M%S'`
|
|
|
|
#Edit to save logs & checkpoints in a different directory
|
|
RESULTS_DIR=/results/${TAG}_${DATESTAMP}
|
|
LOGFILE=$RESULTS_DIR/$TAG.$DATESTAMP.log
|
|
mkdir -m 777 -p $RESULTS_DIR
|
|
printf "Saving checkpoints to %s\n" "$RESULTS_DIR"
|
|
printf "Logs written to %s\n" "$LOGFILE"
|
|
|
|
#Check if all necessary files are available before training
|
|
for DIR_or_file in $SQUAD_DIR $RESULTS_DIR $BERT_DIR/bert_config.json $BERT_DIR/vocab.txt; do
|
|
if [ ! -d "$DIR_or_file" ] && [ ! -f "$DIR_or_file" ]; then
|
|
echo "Error! $DIR_or_file directory missing. Please mount correctly"
|
|
exit -1
|
|
fi
|
|
done
|
|
|
|
$mpi_command python run_squad.py \
|
|
--vocab_file=$BERT_DIR/vocab.txt \
|
|
--bert_config_file=$BERT_DIR/bert_config.json \
|
|
--init_checkpoint=$init_checkpoint \
|
|
--do_train=True \
|
|
--train_file=$SQUAD_DIR/train-v${squad_version}.json \
|
|
--do_predict=True \
|
|
--predict_file=$SQUAD_DIR/dev-v${squad_version}.json \
|
|
--train_batch_size=$batch_size \
|
|
--learning_rate=$learning_rate \
|
|
--num_train_epochs=$epochs \
|
|
--max_seq_length=$seq_length \
|
|
--doc_stride=$doc_stride \
|
|
--save_checkpoints_steps 1000 \
|
|
--output_dir=$RESULTS_DIR \
|
|
--horovod "$use_fp16" \
|
|
$use_xla_tag --version_2_with_negative=${version_2_with_negative} |& tee $LOGFILE
|
|
|
|
python $SQUAD_DIR/evaluate-v${squad_version}.py $SQUAD_DIR/dev-v${squad_version}.json ${RESULTS_DIR}/predictions.json |& tee -a $LOGFILE
|