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FROM pytorch/pytorch:2.2.0-cuda12.1-cudnn8-runtime (#8104)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Glenn Jocher 2024-02-09 01:57:02 +01:00 committed by GitHub
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commit e6247b72d0
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2 changed files with 3 additions and 3 deletions
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2
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:2.1.0-cuda12.1-cudnn8-runtime
FROM pytorch/pytorch:2.2.0-cuda12.1-cudnn8-runtime
RUN pip install --no-cache nvidia-tensorrt --index-url https://pypi.ngc.nvidia.com
# Downloads to user config dir

4
docker/Dockerfile-cpu
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@ -48,10 +48,10 @@ RUN ln -sf /usr/bin/python3 /usr/bin/python
# t=ultralytics/ultralytics:latest-cpu && sudo docker build -f docker/Dockerfile-cpu -t $t . && sudo docker push $t
# Run
# t=ultralytics/ultralytics:latest-cpu && sudo docker run -it --ipc=host $t
# t=ultralytics/ultralytics:latest-cpu && sudo docker run -it --ipc=host --name NAME $t
# Pull and Run
# t=ultralytics/ultralytics:latest-cpu && sudo docker pull $t && sudo docker run -it --ipc=host $t
# t=ultralytics/ultralytics:latest-cpu && sudo docker pull $t && sudo docker run -it --ipc=host --name NAME $t
# Pull and Run with local volume mounted
# t=ultralytics/ultralytics:latest-cpu && sudo docker pull $t && sudo docker run -it --ipc=host -v "$(pwd)"/datasets:/usr/src/datasets $t