change dockerfile.base so its starts from official Nvidia/cuda:12.4.0…

…-devel-ubuntu22.04 image and removing redundancies

Dockerfile.base

@@ -1,72 +1,29 @@
-FROM ubuntu:22.04
+# Use the NVIDIA CUDA base image for CUDA 12.4 and Ubuntu 22.04
+FROM nvidia/cuda:12.4.0-devel-ubuntu22.04
 
 ###########################################################################
-# Install python
+# Install Python 3.9 and pipenv
 ###########################################################################
 
-RUN apt-get update && apt-get -y install \
-    wget \
-    software-properties-common \
-    libgl1-mesa-glx
-RUN add-apt-repository ppa:deadsnakes/ppa
-RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get -y install \
-    python3.9 \
-    python3-pip
-RUN pip install pipenv
-
-###########################################################################
-# DEPRECATED Install CUDA (sourced from https://gitlab.com/nvidia/container-images/cuda/-/tree/master/dist/11.4.0/ubuntu18.04-x86_64/devel)
-###########################################################################
-
-USER root
-# base
-#RUN rm /etc/apt/sources.list.d/cuda.list
 RUN apt-get update && apt-get install -y --no-install-recommends \
-    gnupg2 curl ca-certificates && \
-    curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/3bf863cc.pub | apt-key add - && \
-    echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64 /" > /etc/apt/sources.list.d/cuda.list && \
-    apt-get purge --autoremove -y curl \
+    python3.9 \
+    python3-pip \
+    libgl1-mesa-glx \
+    software-properties-common \
     && rm -rf /var/lib/apt/lists/*
 
-ENV CUDA_VERSION 11.8.0
-
-# For libraries in the cuda-compat-* package: https://docs.nvidia.com/cuda/eula/index.html#attachment-a
-RUN apt-get update && apt-get install -y --no-install-recommends \
-    cuda-cudart-11-8 \
-    cuda-compat-11-8 \
-    && ln -s cuda-11.8 /usr/local/cuda && \
-    rm -rf /var/lib/apt/lists/*
-
-# Required for nvidia-docker v1
-RUN echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf \
-    && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf
-
-ENV PATH /usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
-ENV LD_LIBRARY_PATH /usr/local/nvidia/lib:/usr/local/nvidia/lib64
-
-# devel next
-ENV NCCL_VERSION 2.10.3
-
-RUN apt-get update && apt-get install -y --no-install-recommends \
-    cuda-cudart-dev-11-8 \
-    cuda-command-line-tools-11-8 \
-    cuda-minimal-build-11-8 \
-    cuda-libraries-dev-11-8 \
-    cuda-nvml-dev-11-8 \
-    libnpp-dev-11-8 \
-    libnccl2=2.15.5-1+cuda11.8 \
-    libnccl-dev=2.15.5-1+cuda11.8 \
-    libcublas-dev-11-8 \
-    libcusparse-dev-11-8 \
-    && rm -rf /var/lib/apt/lists/*
+RUN pip install pipenv
 
-# apt from auto upgrading the cublas package. See https://gitlab.com/nvidia/container-images/cuda/-/issues/88
-RUN apt-mark hold libcublas-dev-11-8 libnccl-dev
+RUN apt-get update && apt-get -y install \
+    wget \
+    software-properties-common \
+    libgl1-mesa-glx
 
+# Set up environment variables for CUDA and NVIDIA
+ENV PATH /usr/local/cuda/bin:${PATH}
+ENV LD_LIBRARY_PATH /usr/local/cuda/lib64:${LD_LIBRARY_PATH}
 ENV NVIDIA_VISIBLE_DEVICES ${NVIDIA_VISIBLE_DEVICES:-all}
 ENV NVIDIA_DRIVER_CAPABILITIES ${NVIDIA_DRIVER_CAPABILITIES:+$NVIDIA_DRIVER_CAPABILITIES,}compute,graphics,utility
-ENV NVIDIA_REQUIRE_CUDA "cuda>=11.8 brand=tesla,driver>=418,driver<419 brand=tesla,driver>=440,driver<441 driver>=450"
-
 ###########################################################################
 # Install COLMAP (see https://colmap.github.io/install.html#linux)
 ###########################################################################