Getting Permission Denied error while accessing a file in Docker - amazon-web-services

Question

I am trying to deploy a model on AWS Sagemaker and using the following docker file:
FROM ubuntu:16.04
#MAINTAINER Amazon AI <sage-learner#amazon.com>
RUN apt-get -y update && apt-get install -y --no-install-recommends \
wget \
python3.5-dev \
gcc \
nginx \
ca-certificates \
libgcc-5-dev \
&& rm -rf /var/lib/apt/lists/*
# Here we get all python packages.
# There's substantial overlap between scipy and numpy that we eliminate by
# linking them together. Likewise, pip leaves the install caches populated which uses
# a significant amount of space. These optimizations save a fair amount of space in the
# image, which reduces start up time.
RUN wget https://bootstrap.pypa.io/3.3/get-pip.py && python3.5 get-pip.py && \
pip3 install numpy==1.14.3 scipy lightfm scikit-optimize pandas==0.22.0 flask gevent gunicorn && \
rm -rf /root/.cache
# Set some environment variables. PYTHONUNBUFFERED keeps Python from buffering our standard
# output stream, which means that logs can be delivered to the user quickly. PYTHONDONTWRITEBYTECODE
# keeps Python from writing the .pyc files which are unnecessary in this case. We also update
# PATH so that the train and serve programs are found when the container is invoked.
ENV PYTHONUNBUFFERED=TRUE
ENV PYTHONDONTWRITEBYTECODE=TRUE
ENV PATH="/opt/program:${PATH}"
# Set up the program in the image
COPY lightfm /opt/program
WORKDIR /opt/program
The docker container is built successfully, but when I write the following command:
docker run XYZ train
on my local or even on Sagemaker, I am getting the following error:
standard_init_linux.go:207: exec user process caused "permission denied"
In the docker file I am copying a folder called Lightfm and there is a file called "train" in it.
Can anyone help?
OUTPUT OF MY DOCKER BUILD:
$ docker build -t lightfm .
Sending build context to Docker daemon 41.47kB
Step 1/9 : FROM ubuntu:16.04
---> 5e13f8dd4c1a
Step 2/9 : RUN apt-get -y update && apt-get install -y --no-install-recommends wget python3.5-dev gcc nginx ca-certificates libgcc-5-dev && rm -rf /var/lib/apt/lists/*
---> Using cache
---> 14ae3a1eb780
Step 3/9 : RUN wget https://bootstrap.pypa.io/3.3/get-pip.py && python3.5 get-pip.py && pip3 install numpy==1.14.3 scipy lightfm scikit-optimize pandas==0.22.0 flask gevent gunicorn && rm -rf /root/.cache
---> Using cache
---> 5a2727e27385
Step 4/9 : ENV PYTHONUNBUFFERED=TRUE
---> Using cache
---> 43bf8c5e8414
Step 5/9 : ENV PYTHONDONTWRITEBYTECODE=TRUE
---> Using cache
---> 7d2c45d61cec
Step 6/9 : ENV PATH="/opt/program:${PATH}"
---> Using cache
---> f3cc6313c0d9
Step 7/9 : COPY lightfm /opt/program
---> ad929ba84692
Step 8/9 : WORKDIR /opt/program
---> Running in a040dd0bab03
Removing intermediate container a040dd0bab03
---> 8f53c5a3ba63
Step 9/9 : RUN chmod 755 serve
---> Running in 5666abb27cd0
Removing intermediate container 5666abb27cd0
---> e80aca934840
Successfully built e80aca934840
Successfully tagged lightfm:latest
SECURITY WARNING: You are building a Docker image from Windows against a non-Windows Docker host. All files and directories added to build context will have '-rwxr-xr-x' permissions. It is recommended to double check and reset permissions for sensitive files and directories.

Answer 1

Assuming train is the executable you want to run, give it exec permission. After COPY lightfm /opt/program line, add RUN chmod +x /opt/program/train.