Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[Enhancement]: update toolset of prebuild image #1932

Merged
merged 2 commits into from
Mar 29, 2023
+39 −2
Merged

[Enhancement]: update toolset of prebuild image #1932

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
39b280a
update
RunningLeon Mar 29, 2023
9b1e9f1
update dockerfile
RunningLeon Mar 29, 2023
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
12 changes: 10 additions & 2 deletions docker/prebuild/Dockerfile
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -19,11 +19,18 @@ ARG TENSORRT_VERSION=8.2.3.0
ARG TORCH_VERSION=1.10.0
ARG TORCHVISION_VERSION=0.11.0

ARG TOOLSET_VERSION=7

USER root
WORKDIR /root/workspace

ENV FORCE_CUDA="1"

# install toolset
RUN yum install devtoolset-${TOOLSET_VERSION}-gcc devtoolset-${TOOLSET_VERSION}-gcc-c++ -y

ENV PATH=/opt/rh/devtoolset-${TOOLSET_VERSION}/root/usr/bin:$PATH

# install cuda cudnn
RUN curl -fsSL -v -o ./cuda_install.run -O $CUDA_URL &&\
chmod +x ./cuda_install.run &&\
Expand Down Expand Up @@ -93,12 +100,13 @@ RUN curl -fsSL -v -o ~/miniconda.sh -O https://repo.anaconda.com/miniconda/Mini
/opt/conda/bin/conda create -n mmdeploy-3.10 python=3.10 -y &&\
export CUDA_INT=$(echo $CUDA_VERSION | awk '{split($0, a, "."); print a[1]a[2]}') &&\
/opt/conda/bin/conda create -n torch${TORCH_VERSION} python=3.8 -y &&\
/opt/conda/envs/mmdeploy-3.6/bin/pip install --no-cache-dir setuptools wheel pyyaml &&\
/opt/conda/envs/mmdeploy-3.6/bin/pip install --no-cache-dir setuptools wheel pyyaml packaging &&\
/opt/conda/envs/torch${TORCH_VERSION}/bin/pip install --no-cache-dir onnxruntime-gpu==${ONNXRUNTIME_VERSION} &&\
/opt/conda/envs/torch${TORCH_VERSION}/bin/pip install ${TENSORRT_DIR}/python/tensorrt-*-cp38-none-linux_x86_64.whl &&\
/opt/conda/envs/torch${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 clean -ya
/opt/conda/bin/conda init bash &&\
/opt/conda/bin/conda clean -ya &&\

ENV CONDA=/opt/conda
ENV PATH=$CONDA/bin:$PATH
29 changes: 29 additions & 0 deletions tools/scripts/build_prebuild_image.sh
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,29 @@
#!/bin/sh

set -e

ip=${1}
port=${2:8585}

date_today=`date +'%Y%m%d'`

# create http server
nohup python3 -m http.server --directory /data2/shared/mmdeploy-manylinux2014_x86_64-cuda11.3 $port > tmp.log 2>&1

export ip=10.1.52.36
export port=8585
export CUDA_URL=http://$ip:$port/cuda_11.3.0_465.19.01_linux.run
export CUDNN_URL=http://$ip:$port/cudnn-11.3-linux-x64-v8.2.1.32.tgz
export TENSORRT_URL=http://$ip:$port/TensorRT-8.2.3.0.Linux.x86_64-gnu.cuda-11.4.cudnn8.2.tar.gz
export TENSORRT_VERSION=8.2.3.0
export TAG=manylinux2014_x86_64-cuda11.3

# build docker image
docker build ./docker/prebuild/ -t openmmlab/mmdeploy:$TAG \
--build-arg CUDA_URL=$CUDA_URL \
--build-arg CUDNN_URL=$CUDNN_URL \
--build-arg TENSORRT_URL=${TENSORRT_URL}

# push to docker hub
docker login
docker push openmmlab/mmdeploy:$TAG