ColossalAI/examples/language/opt/run_benchmark.sh

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set -xe
pip install -r requirements.txt
export BS=32
export MEMCAP=0
export GPUNUM=1
# acceptable values include `125m`, `350m`, `1.3b`, `2.7b`, `6.7b`, `13b`, `30b`, `66b`
export MODEL="125m"
for BS in 8 32 128
do
for PLUGIN in "torch_ddp" "torch_ddp_fp16" "low_level_zero" "gemini"
do
for GPUNUM in 1 4
do
MODLE_PATH="facebook/opt-${MODEL}"
torchrun \
--standalone \
--nproc_per_node ${GPUNUM} \
opt_benchmark.py \
--model_name_or_path ${MODLE_PATH} \
--mem_cap ${MEMCAP} \
--plugin ${PLUGIN} \
--batch_size ${BS}
done
done
done