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run_benchmark.sh
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run_benchmark.sh
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#!/bin/bash
set -x
function main {
init_params "$@"
run_benchmark
}
# init params
function init_params {
tuned_checkpoint=saved_results
tokenizer_name=bert-large-uncased-whole-word-masking-finetuned-squad
for var in "$@"
do
case $var in
--topology=*)
topology=$(echo $var |cut -f2 -d=)
;;
--dataset_location=*)
dataset_location=$(echo $var |cut -f2 -d=)
;;
--input_model=*)
input_model=$(echo $var |cut -f2 -d=)
;;
--mode=*)
mode=$(echo $var |cut -f2 -d=)
;;
--batch_size=*)
batch_size=$(echo $var |cut -f2 -d=)
;;
--iters=*)
iters=$(echo ${var} |cut -f2 -d=)
;;
--int8=*)
int8=$(echo ${var} |cut -f2 -d=)
;;
--config=*)
tuned_checkpoint=$(echo $var |cut -f2 -d=)
;;
*)
echo "Error: No such parameter: ${var}"
exit 1
;;
esac
done
}
# run_benchmark
function run_benchmark {
if [[ ${mode} == "accuracy" ]]; then
mode_cmd=" --accuracy_only"
elif [[ ${mode} == "benchmark" ]]; then
mode_cmd=" --benchmark"
else
echo "Error: No such mode: ${mode}"
exit 1
fi
extra_cmd=""
if [[ ${int8} == "true" ]]; then
extra_cmd=$extra_cmd" --int8"
fi
echo $extra_cmd
python run_qa.py \
--model_type bert \
--model_name_or_path $input_model \
--do_lower_case \
--predict_file $dataset_location \
--tokenizer_name $tokenizer_name \
--do_eval \
--max_seq_length 384 \
--doc_stride 128 \
--no_cuda \
--output_dir $tuned_checkpoint \
$mode_cmd \
${extra_cmd}
}
main "$@"