Reorder Dockerfile for reduced rebuilding (#358)

main
Glenn Jocher 2 years ago committed by GitHub
parent 4962733b49
commit 46ed5ff75e
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  1. 10
      docker/Dockerfile
  2. 4
      docker/Dockerfile-arm64
  3. 3
      docker/Dockerfile-cpu

@ -4,7 +4,12 @@
# Start FROM NVIDIA PyTorch image https://ngc.nvidia.com/catalog/containers/nvidia:pytorch
FROM nvcr.io/nvidia/pytorch:22.12-py3
# Remove torch nightly and install torch stable
RUN rm -rf /opt/pytorch # remove 1.2GB dir
RUN pip uninstall -y torchtext torch torchvision
RUN pip cache purge
RUN pip install --no-cache torch torchvision
# Downloads to user config dir
ADD https://ultralytics.com/assets/Arial.ttf https://ultralytics.com/assets/Arial.Unicode.ttf /root/.config/Ultralytics/
@ -22,10 +27,7 @@ RUN git clone https://github.com/ultralytics/ultralytics /usr/src/ultralytics
# Install pip packages
RUN python -m pip install --upgrade pip wheel
RUN pip uninstall -y Pillow torchtext torch torchvision
RUN pip install --no-cache ultralytics albumentations comet gsutil notebook Pillow>=9.1.0 \
'opencv-python<4.6.0.66' \
--extra-index-url https://download.pytorch.org/whl/cu113
RUN pip install --no-cache ultralytics albumentations comet gsutil notebook 'opencv-python<4.6.0.66'
# Set environment variables
ENV OMP_NUM_THREADS=1

@ -27,10 +27,8 @@ RUN git clone https://github.com/ultralytics/ultralytics /usr/src/ultralytics
COPY requirements.txt .
RUN python3 -m pip install --upgrade pip wheel
RUN pip install --no-cache ultralytics gsutil notebook \
tensorflow-aarch64
tensorflow-aarch64 onnx onnx-simplifier onnxruntime coremltools openvino-dev
# tensorflowjs \
# onnx onnx-simplifier onnxruntime \
# coremltools openvino-dev \
# Cleanup
ENV DEBIAN_FRONTEND teletype

@ -28,7 +28,8 @@ COPY requirements.txt .
RUN python3 -m pip install --upgrade pip wheel
RUN pip install --no-cache ultralytics albumentations gsutil notebook \
coremltools onnx onnx-simplifier onnxruntime tensorflow-cpu tensorflowjs \
# openvino-dev \
openvino-dev \
# tensorflowjs \
--extra-index-url https://download.pytorch.org/whl/cpu
# Cleanup

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