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服务化部署镜像编译
本文档介绍如何制作FastDploy镜像
制作GPU镜像
FastDploy发布的GPU镜像基于Triton Inference Server的21.10版本进行制作,如果有其他CUDA版本需求,可以参照NVIDIA 官网中展示的版本信息修改Dockerfile和scripts中的脚本.
# 进入serving目录执行脚本编译fastdeploy和服务化的backend
cd serving
bash scripts/build.sh
# 退出到FastDeploy主目录,制作镜像
# x.y.z为FastDeploy版本号,可根据情况自己确定。比如: 1.0.0
cd ../
docker build -t paddlepaddle/fastdeploy:x.y.z-gpu-cuda11.4-trt8.4-21.10 -f serving/Dockerfile .
制作CPU镜像
# 进入serving目录执行脚本编译fastdeploy和服务化的backend
cd serving
bash scripts/build.sh OFF
# 退出到FastDeploy主目录,制作镜像
# x.y.z为FastDeploy版本号,可根据情况自己确定。比如: 1.0.0
cd ../
docker build -t paddlepaddle/fastdeploy:x.y.z-cpu-only-21.10 -f serving/Dockerfile_cpu .
制作IPU镜像
# 进入serving目录执行脚本编译fastdeploy和服务化的backend
cd serving
bash scripts/build_fd_ipu.sh
# 退出到FastDeploy主目录,制作镜像
# x.y.z为FastDeploy版本号,可根据情况自己确定。比如: 1.0.0
cd ../
docker build -t paddlepaddle/fastdeploy:x.y.z-ipu-only-21.10 -f serving/Dockerfile_ipu .