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mindspore/model_zoo/research/cv/FaceQualityAssessment/scripts/run_eval.sh

72 lines
1.8 KiB

#!/bin/bash
# Copyright 2020 Huawei Technologies Co., Ltd
#
# 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.
# ============================================================================
if [ $# != 3 ]
then
echo "Usage: sh run_eval.sh [EVAL_DIR] [USE_DEVICE_ID] [PRETRAINED_BACKBONE]"
exit 1
fi
get_real_path(){
if [ "${1:0:1}" == "/" ]; then
echo "$1"
else
echo "$(realpath -m $PWD/$1)"
fi
}
current_exec_path=$(pwd)
echo ${current_exec_path}
dirname_path=$(dirname $(pwd))
echo ${dirname_path}
export PYTHONPATH=${dirname_path}:$PYTHONPATH
export RANK_SIZE=1
SCRIPT_NAME='eval.py'
ulimit -c unlimited
EVAL_DIR=$(get_real_path $1)
USE_DEVICE_ID=$2
PRETRAINED_BACKBONE=$(get_real_path $3)
if [ ! -f $PRETRAINED_BACKBONE ]
then
echo "error: PRETRAINED_PATH=$PRETRAINED_BACKBONE is not a file"
exit 1
fi
echo $EVAL_DIR
echo $USE_DEVICE_ID
echo $PRETRAINED_BACKBONE
echo 'start evaluating'
export RANK_ID=0
rm -rf ${current_exec_path}/device$USE_DEVICE_ID
echo 'start device '$USE_DEVICE_ID
mkdir ${current_exec_path}/device$USE_DEVICE_ID
cd ${current_exec_path}/device$USE_DEVICE_ID
dev=`expr $USE_DEVICE_ID + 0`
export DEVICE_ID=$dev
python ${dirname_path}/${SCRIPT_NAME} \
--eval_dir=$EVAL_DIR \
--pretrained=$PRETRAINED_BACKBONE > eval.log 2>&1 &
echo 'running'