This document guides how to install mmdeploy with Docker.
MMDeploy provides prebuilt docker images for the convenience of its users on Docker Hub. The docker images are built on
the latest and released versions. For instance, the image with tag openmmlab/mmdeploy:ubuntu20.04-cuda11.3-mmdeploy
is built on the latest mmdeploy and the image with tag openmmlab/mmdeploy:ubuntu20.04-cuda11.3-mmdeploy1.2.0
is for mmdeploy==1.2.0
.
The specifications of the Docker Image are shown below.
Item | Version |
---|---|
OS | Ubuntu20.04 |
CUDA | 11.3 |
CUDNN | 8.2 |
Python | 3.8.10 |
Torch | 1.10.0 |
TorchVision | 0.11.0 |
TorchScript | 1.10.0 |
TensorRT | 8.2.3.0 |
ONNXRuntime | 1.8.1 |
OpenVINO | 2022.3.0 |
ncnn | 20221128 |
openppl | 0.8.1 |
You can select a tag and run docker pull
to get the docker image:
export TAG=openmmlab/mmdeploy:ubuntu20.04-cuda11.3-mmdeploy
docker pull $TAG
If the prebuilt docker images do not meet your requirements,
then you can build your own image by running the following script.
The docker file is docker/Release/Dockerfile
and its building argument is MMDEPLOY_VERSION
,
which can be a tag or a branch from mmdeploy.
export MMDEPLOY_VERSION=main
export TAG=mmdeploy-${MMDEPLOY_VERSION}
docker build docker/Release/ -t ${TAG} --build-arg MMDEPLOY_VERSION=${MMDEPLOY_VERSION}
After pulling or building the docker image, you can use docker run
to launch the docker service:
export TAG=openmmlab/mmdeploy:ubuntu20.04-cuda11.3-mmdeploy
docker run --gpus=all -it --rm $TAG
-
CUDA error: the provided PTX was compiled with an unsupported toolchain:
As described here, update the GPU driver to the latest one for your GPU.
-
docker: Error response from daemon: could not select device driver "" with capabilities: [gpu].
# Add the package repositories distribution=$(. /etc/os-release;echo $ID$VERSION_ID) curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add - curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list sudo apt-get update && sudo apt-get install -y nvidia-container-toolkit sudo systemctl restart docker