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VisionTTTCode / run_vrg.sh
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#!/usr/bin/env bash
NODE_ID=$SLURM_PROCID
TOTAL_NODES=1
MASTER_ADDR=$(scontrol show hostnames "$SLURM_JOB_NODELIST" | head -n 1)
GPUS=$1
PORT=${PORT:-29500}
echo 'The TOTAL_NODES is: ' ${TOTAL_NODES:-1}
echo 'The node_rank is: ' ${NODE_ID:-0}
echo 'The MASTER_ADDR is: ' $MASTER_ADDR
echo 'The GPUS is: ' $GPUS
echo 'The port is: ' $PORT
CURDIR=$(cd $(dirname $0); pwd)
cd $CURDIR
export PYTHONPATH="$PYTHONPATH:$CURDIR"
echo 'The current dir is: ' $CURDIR
WANDB_MODE=offline torchrun \
--nnodes=${TOTAL_NODES:-1} \
--node_rank=${NODE_ID:-0} \
--master_addr=$MASTER_ADDR \
--nproc_per_node=$GPUS \
--master_port=$PORT \
$CURDIR/train.py \
--data-dir /sfs/weka/scratch/pfq7pm/ai_agent/zhang/imagenet100 \
--model vit_base_patch16_224 \
--batch-size 128 \
--val-split val \
--decay-epochs 0 \
--decay-milestones 0 \
--decay-rate 0 \
--epochs 50 \
--lr 3e-4 \
--opt adamw \
--num-classes 100 \
--img-size 224 \
--log-wandb True \
--warmup-epochs 0