80 lines
2.5 KiB
Bash
80 lines
2.5 KiB
Bash
#!/usr/bin/env bash
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# Copyright (c) 2019 NVIDIA CORPORATION. All rights reserved.
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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echo "Container nvidia build = " $NVIDIA_BUILD_ID
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task_name=${1:-"MRPC"}
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init_checkpoint=${2:-"$BERT_DIR/bert_model.ckpt"}
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batch_size=${3:-"32"}
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precision=${4:-"fp16"}
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use_xla=${5:-"true"}
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seq_length=${6:-"128"}
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doc_stride=${7:-"64"}
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bert_model=${8:-"large"}
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if [ "$bert_model" = "large" ] ; then
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BERT_DIR=data/download/google_pretrained_weights/uncased_L-24_H-1024_A-16
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else
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BERT_DIR=data/download/google_pretrained_weights/uncased_L-12_H-768_A-12
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fi
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GLUE_DIR=data/download
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echo "GLUE directory set as " $GLUE_DIR " BERT directory set as " $BERT_DIR
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use_fp16=""
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if [ "$precision" = "fp16" ] ; then
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echo "fp16 activated!"
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use_fp16="--use_fp16"
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fi
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if [ "$use_xla" = "true" ] ; then
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use_xla_tag="--use_xla"
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echo "XLA activated"
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else
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use_xla_tag=""
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fi
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num_gpu=1
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ckpt_str=${init_checkpoint//\//-}
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export GBS=$(expr $batch_size \* $num_gpu)
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printf -v TAG "tf_bert_finetuning_glue_%s_inf_%s_%s_gbs%d_ckpt_%s" "$task_name" "$bert_model" "$precision" $GBS "$ckpt_str"
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DATESTAMP=`date +'%y%m%d%H%M%S'`
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#Edit to save logs & checkpoints in a different directory
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RESULTS_DIR=/results
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LOGFILE=$RESULTS_DIR/$TAG.$DATESTAMP.log
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printf "Logs written to %s\n" "$LOGFILE"
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#Check if all necessary files are available before training
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for DIR_or_file in $GLUE_DIR $RESULTS_DIR $BERT_DIR/vocab.txt $BERT_DIR/bert_config.json; do
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if [ ! -d "$DIR_or_file" ] && [ ! -f "$DIR_or_file" ]; then
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echo "Error! $DIR_or_file directory missing. Please mount correctly"
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exit -1
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fi
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done
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$mpi_command python run_classifier.py \
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--task_name=$task_name \
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--predict_batch_size=$batch_size \
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--eval_batch_size=$batch_size \
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--do_eval=true \
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--data_dir=$GLUE_DIR/$task_name \
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--vocab_file=$BERT_DIR/vocab.txt \
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--bert_config_file=$BERT_DIR/bert_config.json \
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--init_checkpoint=$init_checkpoint \
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--max_seq_length=$seq_length \
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--doc_stride=$doc_stride \
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--output_dir=$RESULTS_DIR \
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--horovod "$use_fp16" \
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$use_xla_tag |& tee $LOGFILE
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