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Copy pathrun_256_eg.sh
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executable file
·35 lines (26 loc) · 2.58 KB
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#!/usr/bin/env bash
export MXNET_CPU_WORKER_NTHREADS=24
export MXNET_GPU_WORKER_NTHREADS=3
export MXNET_CUDNN_AUTOTUNE_DEFAULT=0
export MXNET_ENGINE_TYPE=ThreadedEnginePerDevice
export MXNET_BACKWARD_DO_MIRROR=1
export MXNET_GPU_MEM_POOL_RESERVE=5
#DATA_DIR=/train/mxnet-train/datasets/faces_emore
DATASET='eg'
#NETWORK=r152
NETWORK=r100
JOB=arcface-$DATASET
MODELDIR="./models/$NETWORK-$JOB"
mkdir -p "$MODELDIR"
PREFIX="$MODELDIR/model"
LOGFILE="$MODELDIR/log"
#CUDA_VISIBLE_DEVICES='4,5,6,7' python -u train_parall.py --dataset=$DATASET --network "$NETWORK" --finetune "$PREFIX,0" --per-batch-size 160 --lr-steps='100000,200000,300000,350000' --exclude-layer-prefix 'fc' --lr 0.1 >"$LOGFILE-$DATASET-00" 2>&1 &
#CUDA_VISIBLE_DEVICES='7' python -u train_parall.py --dataset=$DATASET --network "$NETWORK" --finetune "$PREFIX,34" --per-batch-size 128 --lr-steps='20000,40000,60000' --exclude-layer-prefix "fc" --lr 0.1
#CUDA_VISIBLE_DEVICES='4,5,6,7' python -u train_parall.py --dataset=$DATASET --network "$NETWORK" --pretrained "$PREFIX,0" --per-batch-size 32 --exclude-layer-prefix "fc"--lr-steps='100000,200000,300000,400000' >"$LOGFILE-$DATASET-00" 2>&1 &
#CUDA_VISIBLE_DEVICES='4,5,6,7' python -u train_parall.py --dataset=$DATASET --network "$NETWORK" --pretrained "$PREFIX,72" --per-batch-size 64 --exclude-layer-prefix "fc" --lr=0.001 --lr-steps='150000,300000,400000' >"$LOGFILE-$DATASET-01" 2>&1 &
#liaohuan edit
#CUDA_VISIBLE_DEVICES='4,5,6,7' python -u train_parall.py --dataset=$DATASET --network "$NETWORK" --finetune "$PREFIX,122" --per-batch-size 256 --exclude-layer-prefix "fc" --lr=0.1 --lr-steps='30000,60000,100000' >"$LOGFILE-$DATASET-01" 2>&1 &
#CUDA_VISIBLE_DEVICES='2,3,4,5,6,7' python -u train_parall.py --dataset=$DATASET --network "$NETWORK" --pretrained "$PREFIX,12" --per-batch-size 64 --exclude-layer-prefix "fc" --lr=0.1 --lr-steps='160000,320000,480000,560000' >"$LOGFILE-$DATASET-01" 2>&1 &
#CUDA_VISIBLE_DEVICES='7' python -u train_parall.py --dataset=$DATASET --network "$NETWORK" --finetune "$PREFIX,115" --per-batch-size 256 --exclude-layer-prefix "fc7" --lr=0.1 --lr-steps='30000,60000,100000' >"$LOGFILE-$DATASET-01" 2>&1 &
#CUDA_VISIBLE_DEVICES='0,1,2,3' python -u train_parall.py --dataset=$DATASET --network "$NETWORK" --finetune "$PREFIX,108" --per-batch-size 256 --exclude-layer-prefix "fc" --lr=0.1 --lr-steps='30000,60000,100000' >"$LOGFILE-$DATASET-01" 2>&1 &
CUDA_VISIBLE_DEVICES='1,2,3' python -u train_parall.py --dataset=$DATASET --network "$NETWORK" --pretrained "$PREFIX,34" --per-batch-size 64 --exclude-layer-prefix "fc" --lr=0.01 >"$LOGFILE-$DATASET-01" 2>&1 &