third_party/ODISE/docker/Dockerfile

# ------------------------------------------------------------------------------
# Copyright (c) 2022-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# This work is made available under the Nvidia Source Code License.
# To view a copy of this license, visit
# https://github.com/NVlabs/ODISE/blob/main/LICENSE
#
# Written by Jiarui Xu
# ------------------------------------------------------------------------------

FROM pytorch/pytorch:1.13.1-cuda11.6-cudnn8-devel

WORKDIR /workspace

ARG DEBIAN_FRONTEND=noninteractive
ENV TZ=US/Pacific

RUN apt-get update && apt-get install -y \
    build-essential \
    cmake \
    curl \
    g++ \
    wget \
    bzip2 \
    git \
    vim \
    tmux \
    htop \
    git \
    zip \
    unzip \
    ca-certificates \
    libosmesa6-dev \
    libgl1-mesa-glx \
    libglfw3 \
    patchelf \
    libglu1-mesa \
    libxext6 \
    libxtst6 \
    libxrender1 \
    libxi6 \
    libjpeg-dev \
    libpng-dev \
    libopenblas-dev \
    libopencv-dev \
    libyaml-dev \
    libavformat-dev \
    libavcodec-dev \
    libswscale-dev \
    libavutil-dev \
    libavfilter-dev \
    libavdevice-dev \
    libswresample-dev \
    less \
    groff \
    mpich 

RUN apt-get clean && rm -rf /var/lib/apt/lists/*

# Install git lfs
RUN curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh | bash
RUN apt-get install -y git-lfs
RUN git lfs install


RUN curl https://rclone.org/install.sh | bash

# Set timezone
RUN ln -sf /usr/share/zoneinfo/US/Pacific /etc/localtime

# Set CUDA_ROOT
RUN export CUDA_HOME="/usr/local/cuda"

# Install pytorch
#RUN conda install pytorch torchvision cudatoolkit=11.1 -c pytorch -c conda-forge -y

# Install zsh
RUN sh -c "$(wget -O- https://github.com/deluan/zsh-in-docker/releases/download/v1.1.1/zsh-in-docker.sh)" -t robbyrussell -p git

# Set a fixed model cache directory.
ENV FVCORE_CACHE="/tmp"

ENV HOME /workspace