Category : deep-learning

So, I’m trying to run urw7rs/spiralpp Which is a Deep learning project. First I installed their docker image by this command: docker run -it -p 8888:8888 urw7rs/spiralpp:latest /bin/bash And here is the output of ls from inside the Docker image: (spiralpp) [email protected]:/src/spiralpp# ls CODE_OF_CONDUCT.md LICENSE dataset.lock libtorchbeast.egg-info pyproject.toml setup.py third_party CelebAMask-HQ README.md demo.ipynb nest requirements.txt ..

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I tried building a detectron2 image with docker, in order to use with AWS SageMaker. The dockerfile looks like this: ARG REGION="eu-central-1" FROM 763104351884.dkr.ecr.$REGION.amazonaws.com/pytorch-training:1.6.0-gpu-py36-cu101-ubuntu16.04 RUN pip install –upgrade torch==1.6.0+cu101 torchvision==0.7.0+cu101 -f https://download.pytorch.org/whl/torch_stable.html ############# Detectron2 section ############## RUN pip install –no-cache-dir pycocotools~=2.0.0 –no-cache-dir https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.6/detectron2-0.4%2Bcu101-cp36-cp36m-linux_x86_64.whl ENV FORCE_CUDA="1" # Build D2 only for Volta architecture – V100 chips ..

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Has anyone encountered issues with docker 3.2.2 on macOS Big Sur and knows how to fix them? Symptoms: images that build and run successfully on Catalina refuse to build on Big Sur with various errors. Seems like the issue is related to python deep learning libraries that are wrapping c++ implementation. For example, I had ..

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