#!/bin/bash

set -ex

mkdir -p /opt/triton
if [ -z "${TRITON}" ] && [ -z "${TRITON_CPU}" ]; then
  echo "TRITON and TRITON_CPU are not set. Exiting..."
  exit 0
fi

source "$(dirname "${BASH_SOURCE[0]}")/common_utils.sh"

get_pip_version() {
  conda_run pip list | grep -w $* | head -n 1 | awk '{print $2}'
}

if [ -n "${XPU_VERSION}" ]; then
  TRITON_REPO="https://github.com/intel/intel-xpu-backend-for-triton"
  TRITON_TEXT_FILE="triton-xpu"
elif [ -n "${TRITON_CPU}" ]; then
  TRITON_REPO="https://github.com/triton-lang/triton-cpu"
  TRITON_TEXT_FILE="triton-cpu"
else
  TRITON_REPO="https://github.com/triton-lang/triton"
  TRITON_TEXT_FILE="triton"
fi

# The logic here is copied from .ci/pytorch/common_utils.sh
TRITON_PINNED_COMMIT=$(get_pinned_commit ${TRITON_TEXT_FILE})

if [ -n "${UBUNTU_VERSION}" ];then
    apt update
    apt-get install -y gpg-agent
fi

# Keep the current cmake and numpy version here, so we can reinstall them later
CMAKE_VERSION=$(get_pip_version cmake)
NUMPY_VERSION=$(get_pip_version numpy)

if [ -z "${MAX_JOBS}" ]; then
    export MAX_JOBS=$(nproc)
fi

# Git checkout triton
mkdir /var/lib/jenkins/triton
chown -R jenkins /var/lib/jenkins/triton
chgrp -R jenkins /var/lib/jenkins/triton
pushd /var/lib/jenkins/

as_jenkins git clone --recursive ${TRITON_REPO} triton
cd triton
as_jenkins git checkout ${TRITON_PINNED_COMMIT}
as_jenkins git submodule update --init --recursive

# Old versions of python have setup.py in ./python; newer versions have it in ./
if [ ! -f setup.py ]; then
  cd python
fi

pip_install pybind11==2.13.6

# TODO: remove patch setup.py once we have a proper fix for https://github.com/triton-lang/triton/issues/4527
as_jenkins sed -i -e 's/https:\/\/tritonlang.blob.core.windows.net\/llvm-builds/https:\/\/oaitriton.blob.core.windows.net\/public\/llvm-builds/g' setup.py

if [ -n "${UBUNTU_VERSION}" ] && [ -n "${GCC_VERSION}" ] && [[ "${GCC_VERSION}" == "7" ]]; then
  # Triton needs at least gcc-9 to build
  apt-get install -y g++-9

  CXX=g++-9 conda_run python setup.py bdist_wheel
elif [ -n "${UBUNTU_VERSION}" ] && [ -n "${CLANG_VERSION}" ]; then
  # Triton needs <filesystem> which surprisingly is not available with clang-9 toolchain
  add-apt-repository -y ppa:ubuntu-toolchain-r/test
  apt-get install -y g++-9

  CXX=g++-9 conda_run python setup.py bdist_wheel
else
  conda_run python setup.py bdist_wheel
fi

# Copy the wheel to /opt for multi stage docker builds
cp dist/*.whl /opt/triton
# Install the wheel for docker builds that don't use multi stage
pip_install dist/*.whl

# TODO: This is to make sure that the same cmake and numpy version from install conda
# script is used. Without this step, the newer cmake version (3.25.2) downloaded by
# triton build step via pip will fail to detect conda MKL. Once that issue is fixed,
# this can be removed.
#
# The correct numpy version also needs to be set here because conda claims that it
# causes inconsistent environment.  Without this, conda will attempt to install the
# latest numpy version, which fails ASAN tests with the following import error: Numba
# needs NumPy 1.20 or less.
# Note that we install numpy with pip as conda might not have the version we want
if [ -n "${CMAKE_VERSION}" ]; then
  pip_install "cmake==${CMAKE_VERSION}"
fi
if [ -n "${NUMPY_VERSION}" ]; then
  pip_install "numpy==${NUMPY_VERSION}"
fi
if [[ "$ANACONDA_PYTHON_VERSION" != 3.9* ]]; then
  pip_install helion
fi