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FROM nvcr.io/nvidia/pytorch:21.10-py3 (#6379)

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21.12 generates dockerhub errors so rolling back to 21.10 with latest pytorch install. Not sure if this torch install will work on non-GPU dockerhub autobuild so this is an experiment.
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Glenn Jocher 2022-01-20 19:15:04 -10:00 committed by GitHub
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@ -1,7 +1,7 @@
# YOLOv5 🚀 by Ultralytics, GPL-3.0 license
# Start FROM Nvidia PyTorch image https://ngc.nvidia.com/catalog/containers/nvidia:pytorch
FROM nvcr.io/nvidia/pytorch:21.12-py3
FROM nvcr.io/nvidia/pytorch:21.10-py3
# Install linux packages
RUN apt update && apt install -y zip htop screen libgl1-mesa-glx
@ -12,7 +12,7 @@ RUN python -m pip install --upgrade pip
RUN pip uninstall -y nvidia-tensorboard nvidia-tensorboard-plugin-dlprof
RUN pip install --no-cache -r requirements.txt coremltools onnx gsutil notebook wandb>=0.12.2
RUN pip install --no-cache -U torch torchvision numpy Pillow
# RUN pip install --no-cache torch==1.10.1+cu113 torchvision==0.11.2+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html
RUN pip install --no-cache torch==1.10.1+cu113 torchvision==0.11.2+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html
# Create working directory
RUN mkdir -p /usr/src/app