Merge branch 'eric/tb-dockerfile' into 'master'

Add Dockerfile for TB baseline.

See merge request !3

nethack_baselines/torchbeast/Dockerfile

+# -*- mode: dockerfile -*-
+FROM nvidia/cuda:11.1.1-cudnn8-devel-ubuntu20.04
+
+ARG PYTHON_VERSION=3.7
+ENV DEBIAN_FRONTEND=noninteractive
+
+RUN apt-get update && apt-get install -yq \
+        bison \
+        build-essential \
+        cmake \
+        curl \
+        flex \
+        git \
+        libbz2-dev \
+        ninja-build \
+        software-properties-common \
+        wget \
+        apt-transport-https \
+        ca-certificates \
+        gnupg 
+
+# Install the latest cmake
+RUN wget -O - https://apt.kitware.com/keys/kitware-archive-latest.asc 2>/dev/null | apt-key add -
+RUN apt-add-repository 'deb https://apt.kitware.com/ubuntu/ focal main'
+RUN apt-get update && apt-get --allow-unauthenticated install -yq cmake kitware-archive-keyring 
+
+# Install Conda
+WORKDIR /opt/conda_setup
+RUN curl -o miniconda.sh https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh && \
+     chmod +x miniconda.sh && \
+     ./miniconda.sh -b -p /opt/conda && \
+     /opt/conda/bin/conda install -y python=$PYTHON_VERSION && \
+     /opt/conda/bin/conda clean -ya
+ENV PATH /opt/conda/bin:$PATH
+
+# Create Env, Install Torch and Keep Env active 
+RUN conda init bash
+RUN conda create -n nle python=3.7
+RUN conda install -n nle  pytorch torchvision torchaudio cudatoolkit=11.1 -c pytorch -c nvidia
+ENV BASH_ENV ~/.bashrc
+SHELL ["conda", "run", "-n", "nle", "/bin/bash" ,"-c"]
+RUN python -c 'import torch'
+
+# Install TorchBeast
+WORKDIR /opt/
+RUN git clone https://github.com/facebookresearch/torchbeast.git --recursive
+
+WORKDIR /opt/torchbeast
+RUN pip install -r requirements.txt
+RUN pip install ./nest
+RUN python setup.py install
+
+# Create Workspace
+WORKDIR /opt/workspace
+RUN pip install nle \
+    hydra-core \ 
+    hydra_colorlog \
+    wandb \
+    einops
+
+RUN echo "conda activate nle" >> ~/.bashrc
+CMD ["/bin/bash"]
+
+# Docker commands:
+#   docker build -t nle  .
+#   docker run -v current_dir:/opt/workspace -it nle