牛黄解毒片
4 years ago
committed by
panfengfeng
parent
54b8d53780
commit
1bff5f043d
@ -0,0 +1,47 @@
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#!/bin/bash
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# Copyright 2021 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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ulimit -u unlimited
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if [ $# -lt 2 ]
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then
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echo "Usage: sh run_eval_gpu.sh [VISIABLE_DEVICES(0,1,2,3,4,5,6,7)] [DATASET_PATH]"
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exit 1
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fi
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export DEVICE_NUM=1
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DATASET_PATH=$2
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if [ -d "eval" ];
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then
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rm -rf ./eval
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fi
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mkdir ./eval
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cp ../*.py ./eval
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cp *.sh ./eval
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cp -r ../src ./eval
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cd ./eval || exit
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env > env.log
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echo "start evaluation"
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export CUDA_VISIBLE_DEVICES="$1"
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python eval.py --datapath=$DATASET_PATH --ckptpath=../ckpts \
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--device_target='GPU' --num_epoch=680 \
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--dist_reg=0 > log 2>&1 &
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cd ..
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@ -0,0 +1,51 @@
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#!/bin/bash
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# Copyright 2021 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 [ $# -lt 2 ]
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then
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echo "Usage: sh run_train_gpu.sh [VISIABLE_DEVICES(0,1,2,3,4,5,6,7)] [DATASET_PATH]"
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exit 1
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fi
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export DEVICE_NUM=1
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DATASET_PATH=$2
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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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if [ -d "ckpts" ];
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then
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rm -rf ./ckpts
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fi
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mkdir ./ckpts
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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"
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export CUDA_VISIBLE_DEVICES="$1"
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python train.py --datapath=$DATASET_PATH --ckptpath=../ckpts \
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--device_target='GPU' --num_epoch=680 \
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--dist_reg=0 > log 2>&1 &
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cd ..
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