Permission Denied docker Mac Os M1

Question

我对docker非常陌生，我总是遇到"拒绝许可";问题。我能够使用以下docker文件构建一个映像:

FROM tensorflow/tensorflow:latest
ENV DEBIAN_FRONTEND=noninteractive
# Python
RUN apt-get update -y && apt-get upgrade -y &&
    apt-get install python-opencv -y &&
    pip install -U pip setuptools
RUN pip install keras jupyter && 
    pip install ipdb pytest pytest-cov python-coveralls coverage==3.7.1 pytest-xdist pep8 pytest-pep8 pydot_ng jupyter && 
    pip install Pillow scikit-learn notebook matplotlib nose pyyaml six h5py pandas scikit-image python-resize-image glob2 && 
    pip install opencv-python && 
    pip install --upgrade tensorflow-gpu tensorflow-probability
# COPY ST2inJupyter.js ~/.jupyter/custom/custom.js #this does not work.  put explicit abs path on image (abs path for files in directories outside Dockerfile do not work currently)
# Set up our notebook config.
COPY jupyter_notebook_config.py /root/.jupyter/
ADD startup /src/startup
ENV PYTHONPATH='/src/:$PYTHONPATH'
WORKDIR /src
#Configure Jupyter notebook port exposure
EXPOSE 8888
# For CUDA profiling, TensorFlow requires CUPTI.
ENV LD_LIBRARY_PATH usrlocalcudaextrasCUPTIlib64:$LD_LIBRARY_PATH
# TensorBoard (only needed for visualizing lower level TF models.  in keras, not really too helpful, but just keep in)
EXPOSE 6006
# Define startup bash script in external file (loaded via ADD or COPY above)
CMD /src/startup

当我运行docker image:docker run -v ${PWD}:/src/hostpwd -it -p 8888:8888 [image_name]时，我一直得到"拒绝许可";错误。如下图所示:

/bin/sh: 1: /src/startup: Permission denied

有谁能帮我解决这个问题吗?我有一个Mac操作系统，我有一个新的M1芯片的docker的预览版本。

Answer 1

从注释中，工作代码如下所示

FROM tensorflow/tensorflow:latest
ENV DEBIAN_FRONTEND=noninteractive
# Python
RUN apt-get update -y && apt-get upgrade -y &&
apt-get install python-opencv -y &&
pip install -U pip setuptools
RUN pip install keras jupyter && 
pip install ipdb pytest pytest-cov python-coveralls coverage==3.7.1 pytest-xdist pep8 pytest-pep8 pydot_ng jupyter && 
pip install Pillow scikit-learn notebook matplotlib nose pyyaml six h5py pandas scikit-image python-resize-image glob2 && 
pip install opencv-python && 
pip install --upgrade tensorflow-gpu tensorflow-probability
# COPY ST2inJupyter.js ~/.jupyter/custom/custom.js #this does not work.  put explicit abs path on image (abs path for files in directories outside Dockerfile do not work currently)
# Set up our notebook config.
COPY jupyter_notebook_config.py /root/.jupyter/
ADD startup /src/startup
ENV PYTHONPATH='/src/:$PYTHONPATH'
WORKDIR /src
#Configure Jupyter notebook port exposure
EXPOSE 8888
# For CUDA profiling, TensorFlow requires CUPTI.
ENV LD_LIBRARY_PATH /usr/local/cuda/extras/CUPTI/lib64:$LD_LIBRARY_PATH
# TensorBoard (only needed for visualizing lower level TF models.  in keras, not really too helpful, but just keep in)
EXPOSE 6006
# Define startup bash script in external file (loaded via ADD or COPY above)
CMD /src/startup    

(转述自彻普纳)