[Feature]: Add dockerfile (#347)

* Add dockerfile

* update README

* resolve comments

* Remove unnecessary commands

* Simplify the dockerfile

* enable to specific mmengine version

* Update README.md

* revert

docker/README.md

+# Docker images
+
+There are two `Dockerfile` files to build docker images, one to build an image with the mmengine package and the other with the mmengine development environment.
+
+```text
+.
+|-- README.md
+|-- dev  # build with mmengine development environment
+|   `-- Dockerfile
+`-- release  # build with mmengine package
+    `-- Dockerfile
+```
+
+## Build docker images
+
+### Build with mmengine package
+
+Build with local repository
+
+```bash
+git clone https://github.com/open-mmlab/mmengine.git && cd mmengine
+docker build -t mmengine -f docker/release/Dockerfile .
+```
+
+Or build with remote repository
+
+```bash
+docker build -t mmengine https://github.com/open-mmlab/mmengine.git#main:docker/release
+```
+
+The [Dockerfile](release/Dockerfile) installs the latest released version of mmengine by default, but you can specify mmengine versions to install expected versions.
+
+```bash
+docker image build -t mmengine -f docker/release/Dockerfile --build-arg MMENGINE=0.1.0 .
+```
+
+If you also want to use other versions of PyTorch and CUDA, you can also pass them when building docker images.
+
+An example to build an image with PyTorch 1.11 and CUDA 11.3.
+
+```bash
+docker build -t mmengine -f docker/release/Dockerfile \
+    --build-arg PYTORCH=1.9.0 \
+    --build-arg CUDA=11.1 \
+    --build-arg CUDNN=8 .
+```
+
+More available versions of PyTorch and CUDA can be found at [dockerhub/pytorch](https://hub.docker.com/r/pytorch/pytorch/tags).
+
+### Build with mmengine development environment
+
+If you want to build an docker image with the mmengine development environment, you can use the following command
+
+```bash
+git clone https://github.com/open-mmlab/mmengine.git && cd mmengine
+docker build -t mmengine -f docker/dev/Dockerfile .
+```
+
+## Run images
+
+```bash
+docker run --gpus all --shm-size=8g -it mmengine
+```
+
+See [docker run](https://docs.docker.com/engine/reference/commandline/run/) for more usages.

docker/dev/Dockerfile

+ARG PYTORCH="1.8.1"
+ARG CUDA="10.2"
+ARG CUDNN="7"
+
+FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
+
+# To fix GPG key error when running apt-get update
+RUN rm /etc/apt/sources.list.d/cuda.list \
+    && rm /etc/apt/sources.list.d/nvidia-ml.list \
+    && apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub \
+    && apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
+
+# Install git and system dependencies for opencv-python
+RUN apt-get update && apt-get install -y git \
+    && apt-get update && apt-get install -y libgl1 libglib2.0-0
+
+# Build mmengine from source with develop mode
+RUN git clone https://github.com/open-mmlab/mmengine.git /mmengine
+WORKDIR /mmengine
+RUN git rev-parse --short HEAD
+RUN pip install --no-cache-dir -e .[all] -v && pip install pre-commit && pre-commit install
+
+# Verify the installation
+RUN python -c 'from mmengine.utils.dl_utils import collect_env;print(collect_env())'

docker/release/Dockerfile

+ARG PYTORCH="1.8.1"
+ARG CUDA="10.2"
+ARG CUDNN="7"
+
+FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
+
+# To fix GPG key error when running apt-get update
+RUN rm /etc/apt/sources.list.d/cuda.list \
+    && rm /etc/apt/sources.list.d/nvidia-ml.list \
+    && apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub \
+    && apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
+
+# Install system dependencies for opencv-python
+RUN apt-get update && apt-get install -y libgl1 libglib2.0-0 \
+    && apt-get clean \
+    && rm -rf /var/lib/apt/lists/*
+
+# Install mmengine
+ARG MMENGINE=""
+RUN if [ "${MMENGINE}" = "" ]; then pip install -U openmim && mim install mmengine; else pip install -U openmim && mim install mmengine==${MMENGINE}; fi
+
+# Verify the installation
+RUN python -c 'from mmengine.utils.dl_utils import collect_env;print(collect_env())'