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Dockerfile FROM pytorch/pytorch:2.3.1-cuda12.1-cudnn8-runtime (#13937)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Glenn Jocher 2024-06-24 17:20:55 +02:00 • committed by GitHub
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docker/Dockerfile
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@ -3,7 +3,7 @@
# Image is CUDA-optimized for YOLOv8 single/multi-GPU training and inference
# Start FROM PyTorch image https://hub.docker.com/r/pytorch/pytorch or nvcr.io/nvidia/pytorch:23.03-py3
FROM pytorch/pytorch:2.2.2-cuda12.1-cudnn8-runtime
FROM pytorch/pytorch:2.3.1-cuda12.1-cudnn8-runtime
RUN pip install --no-cache-dir tensorrt
# Set environment variables

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docker/Dockerfile-conda
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@ -20,7 +20,7 @@ ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt .
# Install conda packages
# mkl required to fix 'OSError: libmkl_intel_lp64.so.2: cannot open shared object file: No such file or directory'
RUN conda config --set solver libmamba && \
conda install pytorch torchvision pytorch-cuda=11.8 -c pytorch -c nvidia && \
conda install pytorch torchvision pytorch-cuda=12.1 -c pytorch -c nvidia && \
conda install -c conda-forge ultralytics mkl
# conda install -c pytorch -c nvidia -c conda-forge pytorch torchvision pytorch-cuda=11.8 ultralytics mkl