adjust docs ,submodule libvgpu, update ci

.github/workflows/main.yml

@@ -5,7 +5,9 @@ on:
       - v[0-9]+.[0-9]+.[0-9]+
     branches: [master,dev-vgpu-1219]
   pull_request:
-    branches: [master,dev-vgpu-1219]
+    branches: [master]
+  pull_request_target:
+    branches: [dev-vgpu-1219]
 
 jobs:
   build:
@@ -15,6 +17,12 @@ jobs:
       - uses: actions/setup-go@v2
         with:
           go-version: "^1.19.x"
+
+      - name: Checkout submodule
+        uses: Mushus/checkout-submodule@v1.0.1
+        with:
+            submodulePath: libvgpu 
+
       - run: go version
       # Runs a set of commands to initialize and analyze with FOSSA
 

.gitmodules

@@ -0,0 +1,3 @@
+[submodule "libvgpu"]
+	path = libvgpu
+	url = https://github.com/Project-HAMi/HAMi-core.git

README.md

@@ -1,7 +1,8 @@
 # Volcano device plugin for Kubernetes
 
 **Note**:
-This is based on [Nvidia Device Plugin](https://github.com/NVIDIA/k8s-device-plugin) to support soft isolation of GPU card.
+This is based on [Nvidia Device Plugin](https://github.com/NVIDIA/k8s-device-plugin), it uses [HAMi-core](https://github.com/Project-HAMi/HAMi-core) to support hard isolation of GPU card.
+
 And collaborate with volcano, it is possible to enable GPU sharing.
 
 ## Table of Contents
@@ -23,6 +24,7 @@ The Volcano device plugin for Kubernetes is a Daemonset that allows you to autom
 - Expose the number of GPUs on each node of your cluster
 - Keep track of the health of your GPUs
 - Run GPU enabled containers in your Kubernetes cluster.
+- Enforce hard resource limit in container.
 
 This repository contains Volcano's official implementation of the [Kubernetes device plugin](https://github.com/kubernetes/community/blob/master/contributors/design-proposals/resource-management/device-plugin.md).
 

docker/amd64/Dockerfile.vgpu-ubuntu20.04

@@ -35,7 +35,7 @@ RUN export CGO_LDFLAGS_ALLOW='-Wl,--unresolved-symbols=ignore-in-object-files' &
     go build -ldflags="-s -w" -o volcano-vgpu-device-plugin ./cmd/vgpu
 
 FROM $NVIDIA_IMAGE AS NVBUILD
-COPY ./lib/nvidia/libvgpu /libvgpu
+COPY ./libvgpu /libvgpu
 WORKDIR /libvgpu
 RUN apt-get -y update; apt-get -y install wget
 RUN wget https://cmake.org/files/v3.19/cmake-3.19.8-Linux-x86_64.tar.gz