[Enhancement]: Update dockerfile and add github release note (#1952)

* update dockerfile and add github release note

* fix typo in get_started

* fix comment

Author: RunningLeon

.github/release.yml

@@ -0,0 +1,32 @@
+changelog:
+  categories:
+    - title: 🚀 Features
+      labels:
+        - feature
+        - enhancement
+    - title: 💥 Improvements
+      labels:
+        - improvement
+    - title: 🐞 Bug fixes
+      labels:
+        - bug
+        - Bug:P0
+        - Bug:P1
+        - Bug:P2
+        - Bug:P3
+    - title: 📚 Documentations
+      labels:
+        - documentation
+    - title: 🌐 Other
+      labels:
+        - '*'
+      exclude:
+        labels:
+          - feature
+          - enhancement
+          - bug
+          - documentation
+          - Bug:P0
+          - Bug:P1
+          - Bug:P2
+          - Bug:P3

.github/workflows/prebuild.yml

@@ -61,7 +61,7 @@ jobs:
   linux_build_cxx11abi:
     runs-on: [self-hosted, linux-3090]
     container:
-      image: openmmlab/mmdeploy:build-ubuntu18.04-cuda11.3
+      image: openmmlab/mmdeploy:build-ubuntu16.04-cuda11.3
       options: "--gpus=all --ipc=host"
       volumes:
         - /data2/actions-runner/prebuild:/__w/mmdeploy/prebuild

docker/prebuild/Dockerfile

@@ -27,9 +27,11 @@ WORKDIR /root/workspace
 ENV FORCE_CUDA="1"
 
 # install toolset
-RUN yum install devtoolset-${TOOLSET_VERSION}-gcc devtoolset-${TOOLSET_VERSION}-gcc-c++ -y
+RUN yum install centos-release-scl devtoolset-${TOOLSET_VERSION}-gcc* -y
 
-ENV PATH=/opt/rh/devtoolset-${TOOLSET_VERSION}/root/usr/bin:$PATH
+ENV TOOLSET_DIR=/opt/rh/devtoolset-${TOOLSET_VERSION}/root/usr
+ENV PATH=$TOOLSET_DIR/bin:$PATH
+ENV LD_LIBRARY_PATH=$TOOLSET_DIR/lib:$TOOLSET_DIR/lib64:/usr/local/lib64
 
 # install cuda cudnn
 RUN curl -fsSL -v -o ./cuda_install.run -O $CUDA_URL &&\
@@ -46,6 +48,10 @@ RUN curl -fsSL -v -o ./onnxruntime.tgz -O https://github.com/microsoft/onnxrunti
     tar -xzvf onnxruntime.tgz &&\
     rm onnxruntime.tgz &&\
     mv onnxruntime* /opt/onnxruntime &&\
+    curl -fsSL -v -o ./onnxruntime.tgz -O https://github.com/microsoft/onnxruntime/releases/download/v${ONNXRUNTIME_VERSION}/onnxruntime-linux-x64-gpu-${ONNXRUNTIME_VERSION}.tgz &&\
+    tar -xzvf onnxruntime.tgz &&\
+    rm onnxruntime.tgz &&\
+    mv onnxruntime* /opt/onnxruntime-gpu &&\
     curl -fsSL -v -o ./tensorrt.tgz -O $TENSORRT_URL &&\
     tar -xzvf ./tensorrt.tgz &&\
     rm -f ./tensorrt.tgz &&\
@@ -56,10 +62,11 @@ RUN curl -fsSL -v -o ./onnxruntime.tgz -O https://github.com/microsoft/onnxrunti
 ENV CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda
 ENV CUDNN_DIR=/opt/cudnn
 ENV ONNXRUNTIME_DIR=/opt/onnxruntime
+ENV ONNXRUNTIME_GPU_DIR=/opt/onnxruntime-gpu
 ENV TENSORRT_DIR=/opt/TensorRT
 
 ENV LD_LIBRARY_PATH=$CUDA_TOOLKIT_ROOT_DIR/lib64:$CUDNN_DIR/lib64:$LD_LIBRARY_PATH
-ENV LD_LIBRARY_PATH=${ONNXRUNTIME_DIR}/lib:$TENSORRT_DIR/lib:$LD_LIBRARY_PATH
+ENV LD_LIBRARY_PATH=${ONNXRUNTIME_GPU_DIR}/lib:$TENSORRT_DIR/lib:$LD_LIBRARY_PATH
 ENV PATH=$TENSORRT_DIR/bin:$PATH
 
 ### install ppl.cv
@@ -106,7 +113,7 @@ RUN curl -fsSL -v -o ~/miniconda.sh -O  https://repo.anaconda.com/miniconda/Mini
     /opt/conda/envs/torch${TORCH_VERSION}/bin/pip install --no-cache-dir torch==${TORCH_VERSION}+cu${CUDA_INT} \
         torchvision==${TORCHVISION_VERSION}+cu${CUDA_INT} -f https://download.pytorch.org/whl/torch_stable.html &&\
     /opt/conda/bin/conda init bash &&\
-    /opt/conda/bin/conda clean -ya &&\
+    /opt/conda/bin/conda clean -ya
 
 ENV CONDA=/opt/conda
 ENV PATH=$CONDA/bin:$PATH

docs/en/get_started.md

@@ -125,7 +125,7 @@ pip install mmdeploy==1.0.0rc3
 # 2.1 support onnxruntime
 pip install mmdeploy-runtime==1.0.0rc3
 # 2.2 support onnxruntime-gpu, tensorrt
-pip install mmdeploy-runtime-cuda==1.0.0rc3
+pip install mmdeploy-runtime-gpu==1.0.0rc3
 
 # 3. install inference engine
 # 3.1 install TensorRT

docs/zh_cn/get_started.md

@@ -120,7 +120,7 @@ pip install mmdeploy==1.0.0rc3
 # 2.1 支持 onnxruntime 推理
 pip install mmdeploy-runtime==1.0.0rc3
 # 2.2 支持 onnxruntime-gpu tensorrt 推理
-pip install mmdeploy-runtime-cuda==1.0.0rc3
+pip install mmdeploy-runtime-gpu==1.0.0rc3
 
 # 3. 安装推理引擎
 # 3.1 安装推理引擎 TensorRT