21 lines
736 B
Bash
21 lines
736 B
Bash
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#!/usr/bin/env bash
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set -e
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set -x
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CFG=$1 # use cfgs under "configs/benchmarks/classification/imagenet/imagenet_*percent/"
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PRETRAIN=$2 # pretrained model
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PY_ARGS=${@:3}
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GPUS=${GPUS:-4} # in the standard setting, GPUS=4
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PORT=${PORT:-29500}
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# set work_dir according to config path and pretrained model to distinguish different models
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WORK_DIR="$(echo ${CFG%.*} | sed -e "s/configs/work_dirs/g")/$(echo $PRETRAIN | rev | cut -d/ -f 1 | rev)"
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# train
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python -m torch.distributed.launch --nproc_per_node=$GPUS --master_port=$PORT \
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tools/train.py $CFG \
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--cfg-options model.backbone.init_cfg.type=Pretrained \
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model.backbone.init_cfg.checkpoint=$PRETRAIN \
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--work_dir $WORK_DIR --seed 0 --launcher="pytorch" ${PY_ARGS}
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