mirror of
https://github.com/modelscope/modelscope.git
synced 2025-12-25 12:39:25 +01:00
cba4e40bc1
明确受影响的模型(damo)： ONE-PEACE-4B ModuleNotFoundError: MyCustomPipeline: MyCustomModel: No module named 'one_peace'，缺少依赖。 cv_resnet50_face-reconstruction 不兼容tf2 nlp_automatic_post_editing_for_translation_en2de tf2.0兼容性问题，tf1.x需要 cv_resnet18_ocr-detection-word-level_damo tf2.x兼容性问题 cv_resnet18_ocr-detection-line-level_damo tf兼容性问题 cv_resnet101_detection_fewshot-defrcn 模型限制必须detection0.3+torch1.11.0" speech_dfsmn_ans_psm_48k_causal "librosa， numpy兼容性问题 cv_mdm_motion-generation "依赖numpy版本兼容性问题： File ""/opt/conda/lib/python3.8/site-packages/smplx/body_models.py"", cv_resnet50_ocr-detection-vlpt numpy兼容性问题 cv_clip-it_video-summarization_language-guided_en tf兼容性问题 Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/13744636 * numpy and pandas no version * modify compatible issue * fix numpy compatible issue * modify ci * fix lint issue * replace Image.ANTIALIAS to Image.Resampling.LANCZOS pillow compatible * skip uncompatible cases * fix numpy compatible issue, skip cases that can not compatbile numpy or tensorflow2.x * skip compatible cases * fix clip model issue * fix body 3d keypoints compatible issue
58 lines
3.6 KiB
Docker
58 lines
3.6 KiB
Docker
ARG BASE_IMAGE=reg.docker.alibaba-inc.com/modelscope/modelscope:ubuntu20.04-cuda11.3.0-py37-torch1.11.0-tf1.15.5-base
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FROM $BASE_IMAGE
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RUN apt-get update && apt-get install -y iputils-ping net-tools iproute2 && \
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apt-get clean && \
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rm -rf /var/lib/apt/lists/*
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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 \
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mmcls>=0.21.0 mmdet>=2.25.0 decord>=0.6.0 pai-easycv \
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ipykernel fasttext fairseq 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 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 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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RUN pip install --no-cache-dir wenetruntime==1.11.0 adaseq --no-deps
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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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RUN CUDA_HOME=/usr/local/cuda TORCH_CUDA_ARCH_LIST="6.0 6.1 7.0 7.5 8.0 8.6" pip install --no-cache-dir 'git+https://github.com/facebookresearch/detectron2.git'
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# torchmetrics==0.11.4 for ofa
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RUN pip install --no-cache-dir tiktoken torchmetrics==0.11.4 'protobuf<=3.20.0' bitsandbytes basicsr && \
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git clone -b v1.0.8 https://github.com/Dao-AILab/flash-attention && \
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cd flash-attention && pip install . && \
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pip install csrc/layer_norm && \
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pip install csrc/rotary && \
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cd .. && \
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rm -rf flash-attention
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