#!/usr/bin/env bash

unset PYTORCH_VERSION
# For unittest, nightly PyTorch is used as the following section,
# so no need to set PYTORCH_VERSION.
# In fact, keeping PYTORCH_VERSION forces us to hardcode PyTorch version in config.

set -e

root_dir="$(git rev-parse --show-toplevel)"
conda_dir="${root_dir}/conda"
env_dir="${root_dir}/env"

cd "${root_dir}"

# 0. Activate conda env
eval "$("${conda_dir}/Scripts/conda.exe" 'shell.bash' 'hook')"
conda activate "${env_dir}"

# 1. Install PyTorch
if [ -z "${CUDA_VERSION:-}" ] ; then
    cudatoolkit="cpuonly"
else
    version="$(python -c "print('.'.join(\"${CUDA_VERSION}\".split('.')[:2]))")"
    cudatoolkit="cudatoolkit=${version}"
fi
printf "Installing PyTorch with %s\n" "${cudatoolkit}"
conda install ${CONDA_CHANNEL_FLAGS:-} -y -c "pytorch-${UPLOAD_CHANNEL}" "pytorch-${UPLOAD_CHANNEL}::pytorch" ${cudatoolkit}

# 2. Install torchaudio
printf "* Installing torchaudio\n"
git submodule update --init --recursive
"$root_dir/packaging/vc_env_helper.bat" python setup.py install

# 3. Install Test tools
printf "* Installing test tools\n"
NUMBA_DEV_CHANNEL=""
if [[ "$(python --version)" = *3.9* ]]; then
    # Numba isn't available for Python 3.9 except on the numba dev channel and building from source fails
    # See https://github.com/librosa/librosa/issues/1270#issuecomment-759065048
    NUMBA_DEV_CHANNEL="-c numba/label/dev"
fi
# Note: installing librosa via pip fail because it will try to compile numba.
(
    set -x
    conda install -y -c conda-forge ${NUMBA_DEV_CHANNEL} 'librosa>=0.8.0' parameterized 'requests>=2.20'
    pip install kaldi-io SoundFile coverage pytest pytest-cov scipy transformers
)
# Install fairseq
git clone https://github.com/pytorch/fairseq
cd fairseq
git checkout e6eddd80
pip install .
