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* format pipeline output and check it * fix UT * add docstr to clarify the difference between model.postprocess and pipeline.postprocess Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9051405
54 lines
1.6 KiB
Docker
54 lines
1.6 KiB
Docker
# syntax = docker/dockerfile:experimental
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#
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# NOTE: To build this you will need a docker version > 18.06 with
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# experimental enabled and DOCKER_BUILDKIT=1
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#
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# If you do not use buildkit you are not going to have a good time
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#
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# For reference:
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# https://docs.docker.com/develop/develop-images/build_enhancements/
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# ARG BASE_IMAGE=reg.docker.alibaba-inc.com/pai-dlc/pytorch-training:1.10PAI-gpu-py36-cu113-ubuntu18.04
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# FROM ${BASE_IMAGE} as dev-base
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# FROM reg.docker.alibaba-inc.com/pai-dlc/pytorch-training:1.10PAI-gpu-py36-cu113-ubuntu18.04 as dev-base
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FROM pytorch/pytorch:1.10.0-cuda11.3-cudnn8-devel
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# FROM pytorch/pytorch:1.10.0-cuda11.3-cudnn8-runtime
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# config pip source
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RUN mkdir /root/.pip
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COPY docker/rcfiles/pip.conf.tsinghua /root/.pip/pip.conf
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COPY docker/rcfiles/sources.list.aliyun /etc/apt/sources.list
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# Install essential Ubuntu packages
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RUN apt-get update &&\
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apt-get install -y software-properties-common \
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build-essential \
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git \
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wget \
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vim \
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curl \
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zip \
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zlib1g-dev \
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unzip \
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pkg-config
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# install modelscope and its python env
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WORKDIR /opt/modelscope
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COPY . .
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RUN pip install -r requirements.txt
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# RUN --mount=type=cache,target=/opt/ccache \
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# python setup.py install
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# opencv-python-headless conflict with opencv-python installed
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RUN python setup.py install \
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&& pip uninstall -y opencv-python-headless
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# prepare modelscope libs
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COPY docker/scripts/install_libs.sh /tmp/
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RUN bash /tmp/install_libs.sh && \
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rm -rf /tmp/install_libs.sh
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ENV LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/modelscope/lib64
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WORKDIR /workspace
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