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Thank you for the great work and repository. I have an issue to build alphafold docker.
The nvidia/cuda:11.0-base is not available so I've executed the docker run command instead.
docker run --rm --gpus all nvidia/cuda:11.0.3-base nvidia-smi
It seemed okay, so I tried to build the alphafold docker and I got error bellow.
=> [ 1/12] FROM docker.io/nvidia/cuda:12.2.2-cudnn8-runtime-ubuntu20.04 45.5s => [ 2/12] RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt 38.7s => [ 3/12] RUN git clone --branch v3.3.0 https://github.com/soedinglab/ 48.7s => [ 4/12] RUN wget -q -P /tmp https://repo.anaconda.com/miniconda/Mi 11.2s => ERROR [ 5/12] RUN conda install -qy conda==24.1.2 pip python=3.11 65.2s
Thank you for your effort.
. . . 11.98 libglib pkgs/main/linux-64::libglib-2.78.4-hdc74915_0 11.98 libiconv pkgs/main/linux-64::libiconv-1.16-h5eee18b_3 11.98 libnpp nvidia/linux-64::libnpp-12.3.1.54-0 11.98 libnpp-dev nvidia/linux-64::libnpp-dev-12.3.1.54-0 11.98 libnvfatbin nvidia/linux-64::libnvfatbin-12.6.77-0 11.98 libnvfatbin-dev nvidia/linux-64::libnvfatbin-dev-12.6.77-0 11.98 libnvjitlink nvidia/linux-64::libnvjitlink-12.6.77-0 11.98 libnvjitlink-dev nvidia/linux-64::libnvjitlink-dev-12.6.77-0 11.98 libnvjpeg nvidia/linux-64::libnvjpeg-12.3.3.54-0 11.98 libnvjpeg-dev nvidia/linux-64::libnvjpeg-dev-12.3.3.54-0 11.98 libpng pkgs/main/linux-64::libpng-1.6.39-h5eee18b_0 11.98 libstdcxx-devel_l~ pkgs/main/linux-64::libstdcxx-devel_linux-64-11.2.0-h1234567_1 11.98 libxcb pkgs/main/linux-64::libxcb-1.15-h7f8727e_0 11.98 libxkbcommon pkgs/main/linux-64::libxkbcommon-1.0.1-h097e994_2 11.98 nsight-compute nvidia/linux-64::nsight-compute-2024.3.2.3-0 11.98 nspr pkgs/main/linux-64::nspr-4.35-h6a678d5_0 11.98 nss pkgs/main/linux-64::nss-3.89.1-h6a678d5_0 11.98 sysroot_linux-64 pkgs/main/noarch::sysroot_linux-64-2.17-h57e8cba_10 11.98 11.98 The following packages will be UPDATED: 11.98 11.98 conda 24.1.2-py311h06a4308_0 --> 24.9.2-py311h06a4308_0 11.98 45.72 45.72 45.72 Downloading and Extracting Packages: ...working... done 45.72 Preparing transaction: ...working... done 46.02 Verifying transaction: ...working... done 46.89 Executing transaction: ...working... done 48.79 Channels: 48.79 - conda-forge 48.79 - defaults 48.79 - nvidia 48.79 Platform: linux-64 48.79 Collecting package metadata (repodata.json): ...working... done 59.86 Solving environment: ...working... failed 59.95 59.95 InvalidSpec: The package "nvidia/linux-64::cuda-compiler==12.6.2=0" is not available for the specified platform 59.95 ------ Dockerfile:57 -------------------- 56 | ENV LD_LIBRARY_PATH="/opt/conda/lib:$LD_LIBRARY_PATH" 57 | >>> RUN conda install -qy conda==24.1.2 pip python=3.11 \ 58 | >>> && conda install -y -c nvidia cuda=${CUDA_VERSION} \ 59 | >>> && conda install -y -c conda-forge openmm=8.0.0 pdbfixer \ 60 | >>> && conda clean --all --force-pkgs-dirs --yes 61 | -------------------- ERROR: failed to solve: process "/bin/bash -o pipefail -c conda install -qy conda==24.1.2 pip python=3.11 && conda install -y -c nvidia cuda=${CUDA_VERSION} && conda install -y -c conda-forge openmm=8.0.0 pdbfixer && conda clean --all --force-pkgs-dirs --yes" did not complete successfully: exit code: 1
The text was updated successfully, but these errors were encountered:
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Thank you for the great work and repository. I have an issue to build alphafold docker.
The nvidia/cuda:11.0-base is not available so I've executed the docker run command instead.
It seemed okay, so I tried to build the alphafold docker and I got error bellow.
=> [ 1/12] FROM docker.io/nvidia/cuda:12.2.2-cudnn8-runtime-ubuntu20.04 45.5s
=> [ 2/12] RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt 38.7s
=> [ 3/12] RUN git clone --branch v3.3.0 https://github.com/soedinglab/ 48.7s
=> [ 4/12] RUN wget -q -P /tmp https://repo.anaconda.com/miniconda/Mi 11.2s
=> ERROR [ 5/12] RUN conda install -qy conda==24.1.2 pip python=3.11 65.2s
Thank you for your effort.
The text was updated successfully, but these errors were encountered: