#!/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 "$@"