Update Dockerfile

Dockerfile

@@ -1,12 +1,8 @@
-FROM nvidia/cuda:10.1-cudnn7-devel-ubuntu18.04
+# Use a pre-configured TensorFlow 1.15 Docker image
+FROM tensorflow/tensorflow:1.15.5-gpu-py3
 
-ENV DEBIAN_FRONTEND=noninteractive \
-	TZ=Europe/Paris
-
-# Remove any third-party apt sources to avoid issues with expiring keys.
 # Install some basic utilities
-RUN rm -f /etc/apt/sources.list.d/*.list && \
-    apt-get update && apt-get install -y --no-install-recommends \
+RUN apt-get update && apt-get install -y --no-install-recommends \
     curl \
     ca-certificates \
     sudo \
@@ -44,45 +40,6 @@ ENV HOME=/home/user
 RUN mkdir $HOME/.cache $HOME/.config \
  && chmod -R 777 $HOME
 
-# Set up the Conda environment
-ENV CONDA_AUTO_UPDATE_CONDA=false \
-    PATH=$HOME/miniconda/bin:$PATH
-RUN curl -sLo ~/miniconda.sh https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh \
- && chmod +x ~/miniconda.sh \
- && ~/miniconda.sh -b -p ~/miniconda \
- && rm ~/miniconda.sh \
- && conda install -y python=3.6 && \
-    conda clean -ya
-
-WORKDIR $HOME/app
-
-#######################################
-# Start root user section
-#######################################
-
-USER root
-
-# User Debian packages
-## Security warning : Potential user code executed as root (build time)
-RUN --mount=target=/root/packages.txt,source=packages.txt \
-    apt-get update && \
-    xargs -r -a /root/packages.txt apt-get install -y --no-install-recommends \
-    && rm -rf /var/lib/apt/lists/*
-
-RUN --mount=target=/root/on_startup.sh,source=on_startup.sh,readwrite \
-	bash /root/on_startup.sh
-
-RUN mkdir /data && chown user:user /data
-
-#######################################
-# End root user section
-#######################################
-
-USER user
-
-# Install TensorFlow 1.15 using Conda
-RUN conda install -c conda-forge tensorflow-gpu=1.15
-
 # Python packages
 RUN --mount=target=requirements.txt,source=requirements.txt \
     pip install --no-cache-dir --upgrade -r requirements.txt