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#!/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 scipt as: "
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echo "sh run_distribute_train_gpu.sh DEVICE_NUM EPOCH_SIZE LR DATASET PRE_TRAINED PRE_TRAINED_EPOCH_SIZE"
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echo "for example: sh run_distribute_train_gpu.sh 8 500 0.2 coco /opt/ssd-300.ckpt(optional) 200(optional)"
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echo "It is better to use absolute path."
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echo "================================================================================================================="
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if [ $# != 4 ] && [ $# != 6 ]
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then
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echo "Usage: sh run_distribute_train_gpu.sh [DEVICE_NUM] [EPOCH_SIZE] [LR] [DATASET] \
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[PRE_TRAINED](optional) [PRE_TRAINED_EPOCH_SIZE](optional)"
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exit 1
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fi
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# Before start distribute train, first create mindrecord files.
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BASE_PATH=$(cd "`dirname $0`" || exit; pwd)
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cd $BASE_PATH/../ || exit
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python train.py --only_create_dataset=True --run_platform="GPU"
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echo "After running the scipt, the network runs in the background. The log will be generated in LOG/log.txt"
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export RANK_SIZE=$1
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EPOCH_SIZE=$2
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LR=$3
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DATASET=$4
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PRE_TRAINED=$5
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PRE_TRAINED_EPOCH_SIZE=$6
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rm -rf LOG
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mkdir ./LOG
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cp ./*.py ./LOG
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cp -r ./src ./LOG
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cd ./LOG || exit
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if [ $# == 4 ]
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then
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mpirun -allow-run-as-root -n $RANK_SIZE --output-filename log_output --merge-stderr-to-stdout \
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python train.py \
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--distribute=True \
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--lr=$LR \
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--dataset=$DATASET \
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--device_num=$RANK_SIZE \
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--loss_scale=1 \
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--run_platform="GPU" \
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--epoch_size=$EPOCH_SIZE > log.txt 2>&1 &
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fi
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if [ $# == 6 ]
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then
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mpirun -allow-run-as-root -n $RANK_SIZE --output-filename log_output --merge-stderr-to-stdout \
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python train.py \
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--distribute=True \
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--lr=$LR \
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--dataset=$DATASET \
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--device_num=$RANK_SIZE \
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--pre_trained=$PRE_TRAINED \
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--pre_trained_epoch_size=$PRE_TRAINED_EPOCH_SIZE \
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--loss_scale=1 \
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--run_platform="GPU" \
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--epoch_size=$EPOCH_SIZE > log.txt 2>&1 &
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fi
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@ -0,0 +1,66 @@
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#!/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 [ $# != 3 ]
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then
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echo "Usage: sh run_eval_gpu.sh [DATASET] [CHECKPOINT_PATH] [DEVICE_ID]"
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exit 1
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fi
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get_real_path(){
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if [ "${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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DATASET=$1
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CHECKPOINT_PATH=$(get_real_path $2)
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echo $DATASET
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echo $CHECKPOINT_PATH
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if [ ! -f $CHECKPOINT_PATH ]
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then
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echo "error: CHECKPOINT_PATH=$PATH2 is not a file"
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exit 1
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fi
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export DEVICE_NUM=1
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export DEVICE_ID=$3
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export RANK_SIZE=$DEVICE_NUM
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export RANK_ID=0
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BASE_PATH=$(cd "`dirname $0`" || exit; pwd)
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cd $BASE_PATH/../ || exit
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if [ -d "eval$3" ];
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then
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rm -rf ./eval$3
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fi
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mkdir ./eval$3
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cp ./*.py ./eval$3
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cp -r ./src ./eval$3
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cd ./eval$3 || exit
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env > env.log
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echo "start infering for device $DEVICE_ID"
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python eval.py \
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--dataset=$DATASET \
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--checkpoint_path=$CHECKPOINT_PATH \
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--run_platform="GPU" \
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--device_id=$3 > log.txt 2>&1 &
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cd ..
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