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83 lines
2.7 KiB
83 lines
2.7 KiB
#!/bin/bash
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# Copyright 2020 Huawei Technologies Co., Ltd
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#
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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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# ============================================================================
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echo "=============================================================================================================="
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echo "Please run the script as: "
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echo "sh create_dataset.sh SOURCE_DATASET_PATH DATASET_NAME"
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echo "for example: sh create_dataset.sh /home/workspace/ag_news_csv ag"
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echo "DATASET_NAME including ag, dbpedia, and yelp_p"
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echo "It is better to use absolute path."
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echo "=============================================================================================================="
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ulimit -u unlimited
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get_real_path(){
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if [ "${1:0:1}" == "/" ]; then
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echo "$1"
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else
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echo "$(realpath -m $PWD/$1)"
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fi
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}
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SOURCE_DATASET_PATH=$(get_real_path $1)
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DATASET_NAME=$2
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export DEVICE_NUM=1
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export RANK_ID=0
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export RANK_SIZE=1
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if [ $DATASET_NAME == 'ag' ];
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then
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echo "Begin to process ag news data"
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if [ -d "ag" ];
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then
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rm -rf ./ag
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fi
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mkdir ./ag
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cd ./ag || exit
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echo "start data preprocess for device $DEVICE_ID"
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python ../../src/dataset.py --train_file $SOURCE_DATASET_PATH/train.csv --test_file $SOURCE_DATASET_PATH/test.csv --class_num 4 --max_len 467 --bucket [64,128,467] --test_bucket [467]
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cd ..
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fi
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if [ $DATASET_NAME == 'dbpedia' ];
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then
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echo "Begin to process dbpedia data"
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if [ -d "dbpedia" ];
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then
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rm -rf ./dbpedia
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fi
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mkdir ./dbpedia
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cd ./dbpedia || exit
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echo "start data preprocess for device $DEVICE_ID"
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python ../../src/dataset.py --train_file $SOURCE_DATASET_PATH/train.csv --test_file $SOURCE_DATASET_PATH/test.csv --class_num 14 --max_len 3013 --bucket [64,128,256,512,3013] --test_bucket [64,128,256,512,1120]
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cd ..
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fi
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if [ $DATASET_NAME == 'yelp_p' ];
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then
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echo "Begin to process ag news data"
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if [ -d "yelp_p" ];
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then
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rm -rf ./yelp_p
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fi
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mkdir ./yelp_p
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cd ./yelp_p || exit
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echo "start data preprocess for device $DEVICE_ID"
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python ../../src/dataset.py --train_file $SOURCE_DATASET_PATH/train.csv --test_file $SOURCE_DATASET_PATH/test.csv --class_num 2 --max_len 2955 --bucket [64,128,256,512,2955] --test_bucket [64,128,256,512,2955]
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cd ..
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fi
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