Making large AI models cheaper, faster and more accessible
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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:-1}
export BATCH_SIZE=${BATCH_SIZE:-16}
export MODEL_TYPE=${MODEL_TYPE:-"gpt2_medium"}
export TRAIN_STEP=${TRAIN_STEP:-10}
# export PYTHONPATH=$PWD:$PYTHONPATH
mkdir -p gemini_logs
torchrun --standalone --nproc_per_node=${GPUNUM} ./train_gpt_demo.py \
--model_type=${MODEL_TYPE} \
--batch_size=${BATCH_SIZE} \
--distplan=${DISTPLAN} \
--train_step=${TRAIN_STEP} \
2>&1 | tee ./gemini_logs/${MODEL_TYPE}_${DISTPLAN}_gpu_${GPUNUM}_bs_${BATCH_SIZE}.log