#!/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. # ============================================================================ echo "==============================================================================================================" echo "Please run the scipt as: " echo "sh run_distribute_train.sh DEVICE_NUM EPOCH_SIZE MINDRECORD_DIR IMAGE_DIR ANNO_PATH MINDSPORE_HCCL_CONFIG_PATH" echo "for example: sh run_distribute_train.sh 8 100 /data/Mindrecord_train /data /data/train.txt /data/hccl.json" echo "It is better to use absolute path." echo "==============================================================================================================" EPOCH_SIZE=$2 MINDRECORD_DIR=$3 IMAGE_DIR=$4 ANNO_PATH=$5 # Before start distribute train, first create mindrecord files. python train.py --only_create_dataset=1 --mindrecord_dir=$MINDRECORD_DIR --image_dir=$IMAGE_DIR \ --anno_path=$ANNO_PATH echo "After running the scipt, the network runs in the background. The log will be generated in LOGx/log.txt" export MINDSPORE_HCCL_CONFIG_PATH=$6 export RANK_SIZE=$1 for((i=0;i env.log python ../train.py \ --distribute=1 \ --device_num=$RANK_SIZE \ --device_id=$DEVICE_ID \ --mindrecord_dir=$MINDRECORD_DIR \ --image_dir=$IMAGE_DIR \ --epoch_size=$EPOCH_SIZE \ --anno_path=$ANNO_PATH > log.txt 2>&1 & cd ../ done