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PaddleNLP 下静态图 benchmark 模型执行说明

静态图 benchmark 测试脚本说明

目录说明

Docker 运行环境

docker image: registry.baidubce.com/paddlepaddle/paddle:latest-dev-cuda11.2-cudnn8-gcc82

运行 benchmark 测试步骤

git clone https://github.com/PaddlePaddle/PaddleNLP.git
cd PaddleNLP/tests/

准备数据

无需额外准备数据,${shell_name}.sh 脚本里面已经加上了 prepare.sh 的调用。

bash test_tipc/static/dp/${model_item}/benchmark_common/prepare.sh

运行模型

单卡

export CUDA_VISIBLE_DEVICES=0
bash  test_tipc/static/dp/${model_item}/N1C1/${shell_name}.sh

多卡

export CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
bash test_tipc/static/dp/${model_item}/N1C8/${shell_name}.sh