Category : pytorch

I want to build a docker image where I want to compile custom kernels with pytorch. Therefore I need access to the available gpus in order to compile the custom kernels during docker build process. On the host machine everything is setted up including nvidia-container-runtime, nvidia-docker, Nvidia-Drivers, Cuda etc. The following command shows docker runtime ..

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I am trying to build a docker image that carry torch library. I’m following this tutorial but an error block me on this line: aws ecr get-login-password –region <REGION> | docker login –username AWS –password-stdin <AWS_ACCOUNT_ID>.dkr.ecr.<REGION>.amazonaws.com aws: error: argument operation: invalid choice, valid choice are: followed by a list of choices. I tried some of ..

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I build a Docker image based on the following Dockerfile: ARG PYTORCH="1.6.0" ARG CUDA="10.1" ARG CUDNN="7" FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel ENV TORCH_CUDA_ARCH_LIST="6.0 6.1 7.0+PTX" ENV TORCH_NVCC_FLAGS="-Xfatbin -compress-all" ENV CMAKE_PREFIX_PATH="$(dirname $(which conda))/../" # SSH SERVER RUN apt-get update && apt-get install openssh-server sudo -y RUN echo "PermitRootLogin yes" >> /etc/ssh/sshd_config RUN echo ‘root:root’ | chpasswd WORKDIR / EXPOSE ..

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I have to create a Docker container based on the PyTorch base image, such that the ssh server starts automatically when the container starts, and the container stays alive. This way, I can connect through ssh as root (don’t ask). Instead, the container exits immediately. Here’s a minimal Dockerfile: ARG PYTORCH="1.6.0" ARG CUDA="10.1" ARG CUDNN="7" ..

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As title mentioned, since I want to form a docker image which include my application using pytorch, the following is my Dockerfile: From python:3.6-slim RUN pip3 install numpy==1.19.4 RUN pip3 install opencv-python-headless RUN pip3 install grpcio RUN pip3 install protobuf RUN apt-get update RUN apt-get install -y libopenblas-base libopenmpi-dev libopenmpi2 #RUN apt-get install -y libgfortran3 ..

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I am new to docker and I am trying to create a custom image for a streamlit webapp from this base image: pymesh/pymesh The Dockerfile looks like this: FROM pymesh/pymesh:latest WORKDIR /app COPY requirements.txt ./requirements.txt RUN pip install -r requirements.txt EXPOSE 8501 COPY . /app ENTRYPOINT ["streamlit", "run"] CMD ["dockerapp.py"] When I try to create ..

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