HongChuang/ultralytics-ascend
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions 3

Fix ARM64 Docker building (#13217)

Browse source 
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
This commit is contained in:
Lakshantha Dissanayake 2024-05-29 15:49:27 -07:00 • committed by GitHub
parent b14f9cdb10
commit 51c3169e9f
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
4 changed files with 10 additions and 9 deletions
Download patch file Download diff file Expand all files Collapse all files

3
docker/Dockerfile-arm64
View file

@ -33,8 +33,9 @@ ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt $A
RUN rm -rf /usr/lib/python3.11/EXTERNALLY-MANAGED
# Install pip packages
# Install tensorstore from .whl because PyPI does not include aarch64 binaries
RUN python3 -m pip install --upgrade pip wheel
RUN pip install --no-cache-dir -e ".[export]"
RUN pip install --no-cache-dir https://github.com/ultralytics/yolov5/releases/download/v7.0/tensorstore-0.1.59-cp311-cp311-linux_aarch64.whl -e ".[export]"
# Creates a symbolic link to make 'python' point to 'python3'
RUN ln -sf /usr/bin/python3 /usr/bin/python

3
docker/Dockerfile-jetson
View file

@ -32,12 +32,11 @@ ADD https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt $A
RUN grep -v "opencv-python" pyproject.toml > temp.toml && mv temp.toml pyproject.toml
# Download onnxruntime-gpu 1.15.1 for Jetson Linux 35.2.1 (JetPack 5.1). Other versions can be seen in https://elinux.org/Jetson_Zoo#ONNX_Runtime
RUN wget https://nvidia.box.com/shared/static/mvdcltm9ewdy2d5nurkiqorofz1s53ww.whl -O onnxruntime_gpu-1.15.1-cp38-cp38-linux_aarch64.whl
ADD https://nvidia.box.com/shared/static/mvdcltm9ewdy2d5nurkiqorofz1s53ww.whl onnxruntime_gpu-1.15.1-cp38-cp38-linux_aarch64.whl
# Install pip packages manually for TensorRT compatibility https://github.com/NVIDIA/TensorRT/issues/2567
RUN python3 -m pip install --upgrade pip wheel
RUN pip install onnxruntime_gpu-1.15.1-cp38-cp38-linux_aarch64.whl
RUN pip install --no-cache-dir tqdm matplotlib pyyaml psutil pandas onnx
RUN pip install --no-cache-dir -e ".[export]"