forked from mindspore-Ecosystem/mindspore
56 lines
1.3 KiB
Bash
Executable File
56 lines
1.3 KiB
Bash
Executable File
#!/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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if [ $# != 1 ]
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then
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echo "Usage: sh run_train.sh [DATASET_NAME]"
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exit 1
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fi
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DATASET_NAME=$1
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echo $DATASET_NAME
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ulimit -u unlimited
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export DEVICE_NUM=1
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export RANK_SIZE=$DEVICE_NUM
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export DEVICE_ID=0
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export RANK_ID=0
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if [ -d "train" ];
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then
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rm -rf ./train
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fi
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mkdir ./train
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cp ../*.py ./train
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cp *.sh ./train
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cp -r ../src ./train
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cd ./train || exit
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env > env.log
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echo "start training for device $DEVICE_ID"
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if [ $DATASET_NAME == cora ]
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then
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python train.py --data_dir=../data_mr/$DATASET_NAME --train_nodes_num=140 &> log &
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fi
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if [ $DATASET_NAME == citeseer ]
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then
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python train.py --data_dir=../data_mr/$DATASET_NAME --train_nodes_num=120 &> log &
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fi
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cd ..
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