Dockerfile

FROM nvidia/cuda:11.8.0-cudnn8-devel-ubuntu22.04

ENV DEBIAN_FRONTEND=noninteractive \
    TZ=UTC \
    HF_HUB_ENABLE_HF_TRANSFER=1

ENV PATH="${HOME}/miniconda3/bin:${PATH}"
ARG PATH="${HOME}/miniconda3/bin:${PATH}"

RUN apt-get update &&  \
    apt-get upgrade -y &&  \
    apt-get install -y \
    build-essential \
    cmake \
    curl \
    ca-certificates \
    gcc \
    git \
    locales \
    net-tools \
    wget \
    libpq-dev \
    libsndfile1-dev \
    git \
    git-lfs \
    libgl1 \
    unzip \
    openjdk-11-jre-headless \
    libseccomp-dev \
    && rm -rf /var/lib/apt/lists/* && \
    apt-get clean

RUN curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh | bash && \
    git lfs install

WORKDIR /app

RUN mkdir -p /app/.cache
ENV HF_HOME="/app/.cache"
RUN chown -R 1000:1000 /app
USER 1000
ENV HOME=/app

ENV PYTHONPATH=$HOME/app \
    PYTHONUNBUFFERED=1 \
    SYSTEM=spaces

RUN wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh \
    && sh Miniconda3-latest-Linux-x86_64.sh -b -p /app/miniconda \
    && rm -f Miniconda3-latest-Linux-x86_64.sh
ENV PATH /app/miniconda/bin:$PATH

RUN conda tos accept --override-channels --channel https://repo.anaconda.com/pkgs/main
RUN conda tos accept --override-channels --channel https://repo.anaconda.com/pkgs/r

RUN conda create -p /app/env -y python=3.11

SHELL ["conda", "run","--no-capture-output", "-p","/app/env", "/bin/bash", "-c"]

COPY --chown=1000:1000 . /app/

ENV TCNN_CUDA_ARCHITECTURES 75

ENV TORCH_CUDA_ARCH_LIST "7.5"

RUN curl -fsSL https://pixi.sh/install.sh | sh

ENV PATH="/app/.pixi/bin:$PATH"

RUN pixi install -v

CMD ["./.pixi/envs/default/bin/python", "ltf_e2e.py", "output=/app/app_output"]