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add drone config and custom Dockerfile
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--- | ||
####################################################################################################################### | ||
####################################################################################################################### | ||
####################################################################################################################### | ||
####################### Jobs below are used to build only ######################################### | ||
####################### master branches for all containers ######################################### | ||
####################### ######################################### | ||
####################################################################################################################### | ||
####################################################################################################################### | ||
####################################################################################################################### | ||
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# This pipeline would be used after each merge request to build mmpose latest docker images | ||
kind: pipeline | ||
type: docker | ||
name: mmpose LS_mmpose_latest | ||
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platform: | ||
arch: amd64 | ||
os: linux | ||
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trigger: | ||
branch: | ||
- main | ||
event: | ||
- push | ||
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clone: | ||
depth: 1 | ||
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steps: | ||
- name: Build latest LS_mmpose docker image | ||
image: plugins/docker:20.14 | ||
environment: | ||
DOCKER_BUILDKIT: 1 | ||
settings: | ||
dockerfile: docker/LabelStudio.Dockerfile | ||
context: docker/ | ||
registry: quay.io | ||
repo: quay.io/logivations/ml_all | ||
privileged: true | ||
build_args: | ||
- BUILDKIT_INLINE_CACHE=1 | ||
cache_from: quay.io/logivations/ml_all:LS_mmpose_latest | ||
tags: | ||
- LS_mmpose_latest | ||
- LS_mmpose_latest_${DRONE_COMMIT_SHA} | ||
username: | ||
from_secret: DOCKER_QUAY_USERNAME | ||
password: | ||
from_secret: DOCKER_QUAY_PASSWORD | ||
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####################################################################################################################### | ||
####################################################################################################################### | ||
####################################################################################################################### | ||
####################### Jobs below are used to run ######################################### | ||
####################### pull request validation only ######################################### | ||
####################### ######################################### | ||
####################################################################################################################### | ||
####################################################################################################################### | ||
####################################################################################################################### | ||
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# 2. Build PR docker image for mmpose | ||
--- | ||
kind: pipeline | ||
type: docker | ||
name: PR validation build mmpose images | ||
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platform: | ||
arch: amd64 | ||
os: linux | ||
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trigger: | ||
event: | ||
include: | ||
- pull_request | ||
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clone: | ||
depth: 50 | ||
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steps: | ||
- name: Build LS_mmpose docker image for pull request | ||
image: plugins/docker:20.14 | ||
environment: | ||
DOCKER_BUILDKIT: 1 | ||
settings: | ||
dockerfile: docker/LabelStudio.Dockerfile | ||
context: docker/ | ||
registry: quay.io | ||
repo: quay.io/logivations/ml_all | ||
privileged: true | ||
build_args: | ||
- BUILDKIT_INLINE_CACHE=1 | ||
cache_from: | ||
- quay.io/logivations/ml_all:LS_mmpose_latest | ||
- quay.io/logivations/ml_all:LS_mmpose_pr${DRONE_PULL_REQUEST} | ||
tags: | ||
- LS_mmpose_pr${DRONE_PULL_REQUEST} | ||
- LS_mmpose_pr${DRONE_PULL_REQUEST}_${DRONE_COMMIT_SHA} | ||
username: | ||
from_secret: DOCKER_QUAY_USERNAME | ||
password: | ||
from_secret: DOCKER_QUAY_PASSWORD |
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ARG PYTORCH="1.8.1" | ||
ARG CUDA="10.2" | ||
ARG CUDNN="7" | ||
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# TODO: Prepare logic for buildings aws image using this versions | ||
ARG AWS_PYTORCH="1.9.0" | ||
ARG AWS_CUDA="11.1" | ||
ARG AWS_CUDNN="8" | ||
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FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel | ||
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ENV TORCH_CUDA_ARCH_LIST="6.0 6.1 7.0+PTX" | ||
ENV TORCH_NVCC_FLAGS="-Xfatbin -compress-all" | ||
ENV CMAKE_PREFIX_PATH="$(dirname $(which conda))/../" | ||
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# To fix GPG key error when running apt-get update | ||
RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub | ||
RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub | ||
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RUN apt-get update && apt-get install -y git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6 libgl1-mesa-glx\ | ||
&& apt-get clean \ | ||
&& rm -rf /var/lib/apt/lists/* | ||
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# Install xtcocotools | ||
RUN pip install cython | ||
RUN pip install xtcocotools | ||
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# Install MMEngine and MMCV | ||
RUN pip install openmim | ||
RUN mim install mmengine "mmcv>=2.0.0" | ||
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# Install MMPose | ||
RUN conda clean --all | ||
RUN git clone https://github.com/open-mmlab/mmpose.git /mmpose | ||
WORKDIR /mmpose | ||
RUN git checkout main | ||
ENV FORCE_CUDA="1" | ||
RUN pip install -r requirements/build.txt | ||
RUN pip install --no-cache-dir -e . | ||
RUN mim install "mmdet>=3.1.0" | ||
RUN pip install future tensorboard albumentations | ||
RUN pip install setuptools==59.5.0 |