DeepLearningExamples/TensorFlow/LanguageModeling/BERT/scripts/finetune_inference_benchmark.sh
2019-07-25 16:53:05 +02:00

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#!/bin/bash
bert_model=${1:-"large"}
use_xla=${2:-"true"}
task=${3:-"squad"}
if [ "$bert_model" = "large" ] ; then
export BERT_DIR=data/pretrained_models_google/uncased_L-24_H-1024_A-16
else
export BERT_DIR=data/pretrained_models_google/uncased_L-12_H-768_A-12
fi
echo "BERT directory set as " $BERT_DIR
init_checkpoint="$BERT_DIR/bert_model.ckpt"
if [ "$use_xla" = "true" ] ; then
use_xla_tag="--use_xla"
echo "XLA activated"
else
use_xla_tag=""
fi
#Edit to save logs & checkpoints in a different directory
RESULTS_DIR=/results
if [ ! -d "$RESULTS_DIR" ] ; then
echo "Error! $RESULTS_DIR directory missing."
exit -1
fi
echo "Results directory set as " $RESULTS_DIR
LOGFILE="${RESULTS_DIR}/${task}_inference_benchmark_bert_${bert_model}.log"
tmp_file="/tmp/${task}_inference_benchmark.log"
if [ "$task" = "squad" ] ; then
export SQUAD_DIR=data/squad/v1.1
echo "Squad directory set as " $SQUAD_DIR
echo "Inference performance benchmarking for BERT $bert_model from $BERT_DIR" >> $LOGFILE
echo "Precision $precision" >> $LOGFILE
echo "Sequence-Length Batch-size Precision Throughput-Average(sent/sec) Latency-Average(ms) Latency-50%(ms) Latency-90%(ms) Latency-95%(ms) Latency-99%(ms) Latency-100%(ms)" >> $LOGFILE
for seq_len in 128 384; do
for bs in 1 2 4 8; do
for precision in fp16 fp32; do
if [ "$precision" = "fp16" ] ; then
echo "fp16 activated!"
export TF_ENABLE_AUTO_MIXED_PRECISION_GRAPH_REWRITE=1
use_fp16="--use_fp16"
else
echo "fp32 activated!"
export TF_ENABLE_AUTO_MIXED_PRECISION_GRAPH_REWRITE=0
use_fp16=""
fi
python run_squad.py \
--vocab_file=$BERT_DIR/vocab.txt \
--bert_config_file=$BERT_DIR/bert_config.json \
--init_checkpoint=$init_checkpoint \
--do_predict=True \
--predict_file=$SQUAD_DIR/dev-v1.1.json \
--predict_batch_size=$bs \
--max_seq_length=$seq_len \
--doc_stride=128 \
--output_dir=${RESULTS_DIR} \
"$use_fp16" \
$use_xla_tag --num_eval_iterations=1024 |& tee $tmp_file
perf=`cat $tmp_file | grep -F 'Throughput Average (sentences/sec)' | awk -F'= ' '{print $2}'`
la=`cat $tmp_file | grep -F 'Latency Average (ms)' | awk -F'= ' '{print $2}'`
l50=`cat $tmp_file | grep -F 'Latency Confidence Level 50 (ms)' | awk -F'= ' '{print $2}'`
l90=`cat $tmp_file | grep -F 'Latency Confidence Level 90 (ms)' | awk -F'= ' '{print $2}'`
l95=`cat $tmp_file | grep -F 'Latency Confidence Level 95 (ms)' | awk -F'= ' '{print $2}'`
l99=`cat $tmp_file | grep -F 'Latency Confidence Level 99 (ms)' | awk -F'= ' '{print $2}'`
l100=`cat $tmp_file | grep -F 'Latency Confidence Level 100 (ms)' | awk -F'= ' '{print $2}'`
echo "$seq_len $bs $precision $perf $la $l50 $l90 $l95 $l99 $l100" >> $LOGFILE
done
done
done
else
echo "Benchmarking for " $task "currently not supported. Sorry!"
fi