[Feature] Add Dockerfile (#1974)

* Add Dockerfiles

remove Dockerfile in root directory

minor fix

minor fix

* improve dockerfile

* refine

.github/workflows/build.yml

@@ -8,6 +8,7 @@ on:
       - 'docs/**'
       - 'examples/**'
       - '.dev_scripts/**'
+      - 'docker/**'
 
   pull_request:
     paths-ignore:
@@ -16,6 +17,7 @@ on:
       - 'docs/**'
       - 'examples/**'
       - '.dev_scripts/**'
+      - 'docker/**'
 
 concurrency:
   group: ${{ github.workflow }}-${{ github.ref }}

Dockerfile

-FROM python:3.7
-
-WORKDIR /mmcv
-
-COPY . /mmcv
-
-RUN pip install -e .

docker/README.md

+# Docker images
+
+There are two `Dockerfile` files to build docker images, one to build an image with the mmcv-full pre-built package and the other with the mmcv development environment.
+
+```text
+.
+|-- README.md
+|-- dev  # build with mmcv development environment
+|   `-- Dockerfile
+`-- release  # build with mmcv pre-built package
+    `-- Dockerfile
+```
+
+## Build docker images
+
+### Build with mmcv pre-built package
+
+Build with local repository
+
+```bash
+git clone https://github.com/open-mmlab/mmcv.git && cd mmcv
+docker build -t mmcv -f docker/release/Dockerfile .
+```
+
+Or build with remote repository
+
+```bash
+docker build -t mmcv https://github.com/open-mmlab/mmcv.git#master:docker/release
+```
+
+The [Dockerfile](release/Dockerfile) installs latest released version of mmcv-full by default, but you can specify mmcv versions to install expected versions.
+
+```bash
+docker image build -t mmcv -f docker/release/Dockerfile --build-arg MMCV=1.5.0 .
+```
+
+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 mmcv -f docker/release/Dockerfile \
+    --build-arg PYTORCH=1.9.0 \
+    --build-arg CUDA=11.1 \
+    --build-arg CUDNN=8 \
+    --build-arg MMCV=1.5.0 .
+```
+
+More available versions of PyTorch and CUDA can be found at [dockerhub/pytorch](https://hub.docker.com/r/pytorch/pytorch/tags).
+
+### Build with mmcv development environment
+
+If you want to build an docker image with the mmcv development environment, you can use the following command
+
+```bash
+git clone https://github.com/open-mmlab/mmcv.git && cd mmcv
+docker build -t mmcv -f docker/dev/Dockerfile --build-arg CUDA_ARCH=7.5 .
+```
+
+Note that `CUDA_ARCH` is the cumpute capability of your GPU and you can find it at [Compute Capability](https://developer.nvidia.com/cuda-gpus#compute).
+
+The building process may take 10 minutes or more.
+
+## Run images
+
+```bash
+docker run --gpus all --shm-size=8g -it mmcv
+```
+
+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${CUDNN}-devel
+
+# To fix GPG key error when running apt-get update
+RUN rm /etc/apt/sources.list.d/cuda.list \
+    && rm /etc/apt/sources.list.d/nvidia-ml.list \
+    && apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub \
+    && apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
+
+# Install git and system dependencies for opencv-python
+RUN apt-get update && apt-get install -y git \
+    && apt-get update && apt-get install -y libgl1 libglib2.0-0
+
+# Install system dependencies for unit tests
+RUN apt-get install -y ffmpeg libturbojpeg \
+    && apt-get clean \
+    && rm -rf /var/lib/apt/lists/*
+
+# build mmcv-full from source with develop mode
+ARG HTTPS_PROXY=""
+ENV https_proxy=${HTTPS_PROXY}
+ENV FORCE_CUDA="1"
+ENV MMCV_WITH_OPS="1"
+ARG CUDA_ARCH=""
+ENV TORCH_CUDA_ARCH_LIST=${CUDA_ARCH}
+RUN git clone https://github.com/open-mmlab/mmcv.git /mmcv
+WORKDIR /mmcv
+RUN git rev-parse --short HEAD
+RUN pip install --no-cache-dir -e .[all] -v && pip install pre-commit && pre-commit install

docker/release/Dockerfile

+ARG PYTORCH="1.8.1"
+ARG CUDA="10.2"
+ARG CUDNN="7"
+
+FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
+
+# To fix GPG key error when running apt-get update
+RUN rm /etc/apt/sources.list.d/cuda.list \
+    && rm /etc/apt/sources.list.d/nvidia-ml.list \
+    && apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub \
+    && apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
+
+# Install system dependencies for opencv-python
+RUN apt-get update && apt-get install -y libgl1 libglib2.0-0 \
+    && apt-get clean \
+    && rm -rf /var/lib/apt/lists/*
+
+# Install mmcv-full
+ARG MMCV="1.5.1"
+RUN pip install openmim && mim install mmcv-full==${MMCV} && python -c 'import mmcv;print(mmcv.__version__)'