Dockerfile.catbug.anaconda

FROM ubuntu:18.04

SHELL ["/bin/bash", "-c"]

RUN apt-get update && apt-get install -y \
    python3-setuptools \
    python3-pip \
    git \
    libsm6 \
    libxext6 \
    libxrender-dev \
    wget

WORKDIR /src

RUN wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh

RUN bash Miniconda3-latest-Linux-x86_64.sh -b

ENV PATH /root/miniconda3/bin:$PATH

ENV CONDA_PREFIX /root/miniconda3/envs/tensorbug

# Clear .bashrc (it refuses to run non-interactively otherwise)
RUN echo > ~/.bashrc

# Add conda logic to .bashrc
RUN conda init bash

RUN conda create -y -n tensorbug python=3.7 \
    numpy \
    pytorch \
    torchvision

# Activate environment in .bashrc
RUN echo "conda activate tensorbug" >> /root/.bashrc

# Make bash excecute .bashrc even when running non-interactively.
ENV BASH_ENV /root/.bashrc

RUN git clone https://gist.github.com/c03aa5df92408974922aea7ec499405c.git catbug

WORKDIR /src/catbug

RUN python3 setup.py build develop

CMD ["bash", "-c", "python3 run.py"]


# Docker commands:
#   docker rm catbug -v
#   docker build -t catbug .
#   docker run --name catbug catbug
# or
#   docker run --name catbug -it catbug /bin/bash

Dockerfile.catbug.pip

FROM ubuntu:18.04

SHELL ["/bin/bash", "-c"]

RUN apt-get update && apt-get install -y \
    python3-setuptools \
    python3-pip \
    git \
    libsm6 \
    libxext6 \
    libxrender-dev \
    wget

# Install PyTorch. This needs increased Docker memory.
# (https://github.com/pytorch/pytorch/issues/1022)
RUN pip3 download torch
RUN pip3 install torch*.whl

WORKDIR /src

RUN git clone https://gist.github.com/c03aa5df92408974922aea7ec499405c.git catbug

WORKDIR /src/catbug

RUN python3 setup.py build develop

CMD ["python3", "run.py"]


# Docker commands:
#   docker rm catbug -v
#   docker build -t catbug .
#   docker run --name catbug catbug
# or
#   docker run --name catbug -it catbug /bin/bash