#!/bin/bash

export http_proxy="http://192.168.1.104:10809"
export https_proxy="http://192.168.1.104:10809"
export ALL_PROXY="socks5://192.168.1.104:10808"


#
# setup environment
#
export DEBIAN_FRONTEND=noninteractive
export HDF5_DIR="/usr/lib/aarch64-linux-gnu/hdf5/serial/"
export MAKEFLAGS="-j6"


#
# install prerequisites - https://docs.nvidia.com/deeplearning/frameworks/install-tf-jetson-platform/index.html#prereqs
#
apt-get update && \
    apt-get install -y --no-install-recommends \
          python3-pip \
		  python3-dev \
		  gfortran \
		  build-essential \
		  liblapack-dev \
		  libblas-dev \
		  libhdf5-serial-dev \
		  hdf5-tools \
		  libhdf5-dev \
		  zlib1g-dev \
		  zip \
		  libjpeg8-dev \
    && rm -rf /var/lib/apt/lists/*

pip3 install setuptools Cython wheel
pip3 install numpy --verbose
pip3 install h5py==2.10.0 --verbose
pip3 install future==0.17.1 mock==3.0.5 keras_preprocessing==1.0.5 keras_applications==1.0.8 gast==0.2.2 futures protobuf pybind11 --verbose


#
# TensorFlow (for JetPack 4.4 DP)
#
#  TensorFlow 1.15 https://nvidia.box.com/shared/static/rummpy6q1km1wivomalpkwt2jy28mndf.whl (tensorflow-1.15.2+nv-cp36-cp36m-linux_aarch64.whl)
#
export TENSORFLOW_URL="https://nvidia.box.com/shared/static/rummpy6q1km1wivomalpkwt2jy28mndf.whl"
export TENSORFLOW_WHL="tensorflow-1.15.2+nv-cp36-cp36m-linux_aarch64.whl"

wget --quiet --show-progress --progress=bar:force:noscroll --no-check-certificate ${TENSORFLOW_URL} -O ${TENSORFLOW_WHL} && \
    pip3 install ${TENSORFLOW_WHL} --verbose && \
    rm ${TENSORFLOW_WHL}


#
# PyCUDA
#
export PATH="/usr/local/cuda/bin:${PATH}"
export LD_LIBRARY_PATH="/usr/local/cuda/lib64:${LD_LIBRARY_PATH}"
echo "$PATH" && echo "$LD_LIBRARY_PATH"

pip3 install pycuda --verbose