# distplan in ["colossalai", "zero1", "zero2", "torch_ddp", "torch_zero"]
export DISTPAN="colossalai"

# The following options only valid when DISTPAN="colossalai"
export TPDEGREE=4
export GPUNUM=8
export PLACEMENT='cpu'
export USE_SHARD_INIT=False
export BATCH_SIZE=32
# export MODEL_TYPE="gpt2_24b"

mkdir -p logs
env OMP_NUM_THREADS=16 torchrun --standalone --nproc_per_node=${GPUNUM} train_gpt_demo.py --tp_degree=${TPDEGREE} --model_type=${MODEL_TYPE} --batch_size=${BATCH_SIZE} --placement ${PLACEMENT} --shardinit ${USE_SHARD_INIT} --distplan ${DISTPAN} 2>&1 | tee ./logs/${MODEL_TYPE}_${DISTPAN}_gpu_${GPUNUM}_bs_${BATCH_SIZE}_tp_${TPDEGREE}.log