wehub-resource-sync
31 lines
1.1 KiB
Docker
31 lines
1.1 KiB
Docker
FROM pytorch/pytorch:1.13.1-cuda11.6-cudnn8-devel
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# Arguments to build Docker Image using CUDA
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ARG USE_CUDA=0
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ARG TORCH_ARCH=
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ENV AM_I_DOCKER True
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ENV BUILD_WITH_CUDA "${USE_CUDA}"
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ENV TORCH_CUDA_ARCH_LIST "${TORCH_ARCH}"
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ENV CUDA_HOME /usr/local/cuda-11.6/
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RUN mkdir -p /home/appuser/Grounded-Segment-Anything
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COPY . /home/appuser/Grounded-Segment-Anything/
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RUN apt-get update && apt-get install --no-install-recommends wget ffmpeg=7:* \
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libsm6=2:* libxext6=2:* git=1:* nano=2.* \
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vim=2:* -y \
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&& apt-get clean && apt-get autoremove && rm -rf /var/lib/apt/lists/*
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WORKDIR /home/appuser/Grounded-Segment-Anything
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RUN python -m pip install --no-cache-dir -e segment_anything
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# When using build isolation, PyTorch with newer CUDA is installed and can't compile GroundingDINO
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RUN python -m pip install --no-cache-dir wheel
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RUN python -m pip install --no-cache-dir --no-build-isolation -e GroundingDINO
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WORKDIR /home/appuser
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RUN pip install --no-cache-dir diffusers[torch]==0.15.1 opencv-python==4.7.0.72 \
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pycocotools==2.0.6 matplotlib==3.5.3 \
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onnxruntime==1.14.1 onnx==1.13.1 ipykernel==6.16.2 scipy gradio openai
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