Dockerfile

FROM pytorch/pytorch:1.1.0-cuda10.0-cudnn7.5-devel

RUN apt-get update && apt-get install -y \
    build-essential \
    libsm6 \
    libxext6 \
    libfontconfig1 \
    libxrender1 \
    libswscale-dev \
    libtbb2 \
    libtbb-dev \
    libjpeg-dev \
    libpng-dev \
    libtiff-dev \
    libjasper-dev \
    libavformat-dev \
    libpq-dev \
    libturbojpeg \
    software-properties-common \
    && apt-get clean \
    && rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*

RUN pip install catalyst==19.09.1
RUN pip install albumentations
RUN pip install cnn_finetune
RUN pip install timm
RUN pip install click
RUN pip install pandas
RUN pip install SimpleITK
RUN pip install segmentation-models-pytorch
RUN pip install pyarrow
RUN pip install lz4
RUN pip install wandb

WORKDIR /tmp/unique_for_apex
# uninstall Apex if present, twice to make absolutely sure :)
RUN pip uninstall -y apex || :
RUN pip uninstall -y apex || :
# SHA is something the user can touch to force recreation of this Docker layer,
# and therefore force cloning of the latest version of Apex
RUN SHA=ToUcHMe git clone https://github.com/NVIDIA/apex.git
WORKDIR /tmp/unique_for_apex/apex
RUN pip install -v --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" .
WORKDIR /workspace