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# Licensed under the Apache License, Version 2.0 (the "License"). You
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# Dockerfile for training models using JAX
# We build from NVIDIA container so that CUDA is available for GPU acceleration should the AWS instance support it
FROM nvidia/cuda:11.1-cudnn8-devel-ubuntu18.04

# Install python3
RUN apt update && apt install -y python3-pip

RUN ln -sf /usr/bin/python3 /usr/bin/python && \
    ln -sf /usr/bin/pip3 /usr/bin/pip

RUN pip --no-cache-dir install --upgrade pip setuptools_rust

# Install ML Packages built with CUDA11 support
RUN ln -s /usr/lib/cuda /usr/local/cuda-11.1
RUN pip --no-cache-dir install --upgrade jax==0.2.6 jaxlib==0.1.57+cuda111 -f https://storage.googleapis.com/jax-releases/jax_releases.html
RUN pip --no-cache-dir install tensorflow==2.3.1 trax==1.3.7
RUN pip --no-cache-dir install sagemaker-training matplotlib

# Setting some environment variables related to logging
ENV PYTHONDONTWRITEBYTECODE=1 \
    PYTHONUNBUFFERED=1