mirror of
https://github.com/modelscope/modelscope.git
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Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/12722824 * debug * add missing deps * add stanza * fix numpy issue * numpy version * tf case * numpy <= 1.22.0 * fix tf 1.15.5 case * add python38 and python37 compatible docker file * cv add fvcore * add easycv * remove debug code * fix style issue * fix python3.7 python3.8 compatible issue * comment * modify run config * scipy<=1.7.3 * revert scipy<=1.7.3 * fix compatible bug * fix compatible bug * add easycv * update version: 1.6.1rc0 Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/12754942 fix python3.8 and python3.8 compatible issue * numpy version change * numpy version * numpy version * fix numpy version * fix numpy version * update version: 1.6.1rc0 Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/12754942 fix python3.8 and python3.8 compatible issue * restore setup.py * restore setup.py * add build base image * fix style * numpy version fix * optimize build image, split base and modelscope image * fix style issue * modify example path * modify examples folder * add SETUPTOOLS_USE_DISTUTILS=stdlib comments
43 lines
2.9 KiB
Docker
43 lines
2.9 KiB
Docker
ARG BASE_IMAGE=reg.docker.alibaba-inc.com/modelscope/modelscope:ubuntu20.04-cuda11.3.0-py37-torch1.11.0-tf1.15.5-1.6.1
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FROM $BASE_IMAGE
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# install modelscope
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COPY requirements /var/modelscope
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RUN pip install --no-cache-dir --upgrade pip && \
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pip install --no-cache-dir -r /var/modelscope/framework.txt -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html && \
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pip install --no-cache-dir -r /var/modelscope/audio.txt -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html && \
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pip install --no-cache-dir -r /var/modelscope/cv.txt -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html && \
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pip install --no-cache-dir -r /var/modelscope/multi-modal.txt -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html && \
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pip install --no-cache-dir -r /var/modelscope/nlp.txt -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html && \
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pip install --no-cache-dir -r /var/modelscope/science.txt -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html && \
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pip install --no-cache-dir -r /var/modelscope/tests.txt -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html && \
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pip cache purge
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# install jupyter plugin
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RUN mkdir -p /root/.local/share/jupyter/labextensions/ && \
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cp -r /tmp/resources/jupyter_plugins/* /root/.local/share/jupyter/labextensions/
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COPY docker/scripts/modelscope_env_init.sh /usr/local/bin/ms_env_init.sh
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# python3.8 pip install git+https://github.com/jin-s13/xtcocoapi.git@v1.13
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# pip install git+https://github.com/gatagat/lap.git@v0.4.0
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RUN pip install --no-cache-dir text2sql_lgesql==1.3.0 \
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git+https://github.com/jin-s13/xtcocoapi.git@v1.13 \
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git+https://github.com/gatagat/lap.git@v0.4.0 \
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detectron2==0.3 -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html --force --no-deps
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RUN pip install --no-cache-dir mpi4py paint_ldm adaseq>=0.5.0 \
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mmcls>=0.21.0 mmdet>=2.25.0 decord>=0.6.0 wenetruntime==1.11.0 \
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ipykernel fairseq fasttext deepspeed -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html
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# for cpu install cpu version faiss, faiss depends on blas lib, we install libopenblas TODO rename gpu or cpu version faiss
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RUN if [ "$USE_GPU" = "True" ] ; then \
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pip install --no-cache-dir funtextprocessing kwsbp==0.0.6 faiss==1.7.2 safetensors typeguard==2.13.3 scikit-learn 'pandas<1.4.0' pai-easycv librosa==0.9.2 funasr -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html; \
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else \
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pip install --no-cache-dir funtextprocessing kwsbp==0.0.6 https://modelscope.oss-cn-beijing.aliyuncs.com/releases/dependencies/faiss-1.7.2-py37-none-linux_x86_64.whl safetensors typeguard==2.13.3 scikit-learn 'pandas<1.4.0' pai-easycv librosa==0.9.2 funasr -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html; \
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fi
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COPY examples /modelscope/examples
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# for pai-easycv setup compatiblity issue
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ENV SETUPTOOLS_USE_DISTUTILS=stdlib
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