构建 HAMi
制作二进制文件
前提条件
需要以下工具：
- go v1.20+
- make
构建
make
如果一切成功构建，将打印以下输出
go build -ldflags '-s -w -X github.com/Project-HAMi/HAMi/pkg/version.version=v0.0.1' -o bin/scheduler ./cmd/scheduler
go build -ldflags '-s -w -X github.com/Project-HAMi/HAMi/pkg/version.version=v0.0.1' -o bin/vGPUmonitor ./cmd/vGPUmonitor
go build -ldflags '-s -w -X github.com/Project-HAMi/HAMi/pkg/version.version=v0.0.1' -o bin/nvidia-device-plugin ./cmd/device-plugin/nvidia
制作镜像
前提条件
需要以下工具：
- docker
- make
构建
make docker
如果一切成功构建，将打印以下输出
go build -ldflags '-s -w -X github.com/Project-HAMi/HAMi/pkg/version.version=v0.0.1' -o bin/scheduler ./cmd/scheduler
go build -ldflags '-s -w -X github.com/Project-HAMi/HAMi/pkg/version.version=v0.0.1' -o bin/vGPUmonitor ./cmd/vGPUmonitor
go build -ldflags '-s -w -X github.com/Project-HAMi/HAMi/pkg/version.version=v0.0.1' -o bin/nvidia-device-plugin ./cmd/device-plugin/nvidia
[+] Building 146.4s (28/28)
FINISHED docker:default
=> [internal] load build definition from Dockerfile 0.0s
=> => transferring dockerfile: 1.30kB 0.0s
=> [internal] load metadata for docker.io/nvidia/cuda:12.2.0-base-ubuntu22.04 5.5s
=> [internal] load metadata for docker.io/library/golang:1.21-bullseye 4.5s
=> [internal] load metadata for docker.io/nvidia/cuda:12.2.0-devel-ubuntu20.04 0.0s
=> [auth] nvidia/cuda:pull token for registry-1.docker.io 0.0s
=> [auth] library/golang:pull token for registry-1.docker.io 0.0s
=> [internal] load .dockerignore 0.0s
=> => transferring context: 2B 0.0s
=> [internal] load build context 1.3s
=> => transferring context: 119.90MB 1.3s
=> [stage-3 1/6] FROM docker.io/nvidia/cuda:12.2.0-base-ubuntu22.04@sha256:ecdf8549dd5f12609e365217a64dedde26ecda26da8f3ff3f82def6749f53051 0.0s
=> CACHED [gobuild 1/4] FROM docker.io/library/golang:1.21-bullseye@sha256:311468bffa9fa4747a334b94e6ce3681b564126d653675a6adc46698b2b88d35 0.0s
=> [nvbuild 1/9] FROM docker.io/nvidia/cuda:12.2.0-devel-ubuntu20.04 0.0s
=> [gobuild 2/4] ADD . /k8s-vgpu 0.8s
=> [nvbuild 2/9] COPY ./libvgpu /libvgpu 0.3s
=> [nvbuild 3/9] WORKDIR /libvgpu 0.2s
=> [nvbuild 4/9] RUN apt-get -y update && apt-get -y install wget 21.9s
=> [gobuild 3/4] RUN apt-get update && apt-get -y install libhwloc-dev libdrm-dev 18.8s
=> [gobuild 4/4] RUN cd /k8s-vgpu && make all 83.5s
=> [nvbuild 5/9] RUN wget https://cmake.org/files/v3.19/cmake-3.19.8-Linux-x86_64.tar.gz 99.8s
=> CACHED [stage-3 2/6] COPY ./LICENSE /k8s-vgpu/LICENSE 0.0s
=> [stage-3 3/6] COPY --from=GOBUILD /k8s-vgpu/bin /k8s-vgpu/bin 0.5s
=> [stage-3 4/6] COPY ./docker/entrypoint.sh /k8s-vgpu/bin/entrypoint.sh 0.2s
=> [stage-3 5/6] COPY ./lib /k8s-vgpu/lib 0.2s
=> [nvbuild 6/9] RUN tar -xf cmake-3.19.8-Linux-x86_64.tar.gz 2.1s
=> [nvbuild 7/9] RUN cp /libvgpu/cmake-3.19.8-Linux-x86_64/bin/cmake /libvgpu/cmake-3.19.8-Linux-x86_64/bin/cmake3 1.3s
=> [nvbuild 8/9] RUN apt-get -y install openssl libssl-dev 7.7s
=> [nvbuild 9/9] RUN bash ./build.sh 4.0s
=> [stage-3 6/6] COPY --from=NVBUILD /libvgpu/build/libvgpu.so /k8s-vgpu/lib/nvidia/ 0.3s
=> exporting to image 1.8s
=> => exporting layers 1.8s
=> => writing image sha256:fc0ce42b41f9a177921c9bfd239babfa06fc77cf9e4087e8f2d959d749e8039f 0.0s
=> => naming to docker.io/projecthami/hami:master-103b2b677e018a40af6322a56c2e9d5d5c62cccf 0.0s
The push refers to repository [docker.io/projecthami/hami]
制作HAMi-Core
建议在nvidia/cuda镜像中构建HAMi-Core：
git clone https://github.com/Project-HAMi/HAMi-core.git
docker build . -f dockerfiles/Dockerfile.{arch}