Open-Llama/utils/speed_test/colossal-ai/run.sh
2023-04-12 17:15:07 +08:00

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set -x
# distplan in ["CAI_ZeRO1", "CAI_ZeRO2", "CAI_Gemini", "Pytorch_DDP", "Pytorch_ZeRO"]
export DISTPLAN=${DISTPLAN:-"CAI_Gemini"}
# The following options only valid when DISTPLAN="colossalai"
export GPUNUM=${GPUNUM:-8}
export TPDEGREE=${TPDEGREE:-1}
export PLACEMENT=${PLACEMENT:-"auto"}
export USE_SHARD_INIT=${USE_SHARD_INIT:-True}
export BATCH_SIZE=${BATCH_SIZE:-40}
export MODEL_TYPE=${MODEL_TYPE:-"Llama-7B"}
export TRAIN_STEP=${TRAIN_STEP:-10}
# export PYTHONPATH=$PWD:$PYTHONPATH
if [ ${USE_SHARD_INIT} = "True" ]; then
USE_SHARD_INIT="--shardinit"
else
USE_SHARD_INIT=""
fi
mkdir -p gemini_logs
torchrun --nproc_per_node=${GPUNUM} --rdzv_endpoint=127.0.0.1:23335 run.py \
--tp_degree=${TPDEGREE} \
--model_type=${MODEL_TYPE} \
--batch_size=${BATCH_SIZE} \
--placement=${PLACEMENT} \
${USE_SHARD_INIT} \
--distplan=${DISTPLAN} \
--train_step=${TRAIN_STEP} \
2>&1 | tee ./gemini_logs/${MODEL_TYPE}_${DISTPLAN}_gpu_${GPUNUM}_bs_${BATCH_SIZE}_tp_${TPDEGREE}_${PLACEMENT}.log