| #!/usr/bin/env bash |
| # |
| # Licensed to the Apache Software Foundation (ASF) under one |
| # or more contributor license agreements. See the NOTICE file |
| # distributed with this work for additional information |
| # regarding copyright ownership. The ASF licenses this file |
| # to you under the Apache License, Version 2.0 (the |
| # "License"); you may not use this file except in compliance |
| # with the License. You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, |
| # software distributed under the License is distributed on an |
| # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| # KIND, either express or implied. See the License for the |
| # specific language governing permissions and limitations |
| # under the License. |
| |
| set -e |
| |
| if [ "$#" -ne 1 ] && [ "$#" -ne 2 ] && [ "$#" -ne 3 ]; then |
| echo "Usage: $0 <numba version> [numba-cuda version] [CUDA version]" |
| exit 1 |
| fi |
| |
| numba=$1 |
| |
| if [ -n "${ARROW_PYTHON_VENV:-}" ]; then |
| # We don't need to follow this external file. |
| # See also: https://www.shellcheck.net/wiki/SC1091 |
| # |
| # shellcheck source=/dev/null |
| . "${ARROW_PYTHON_VENV}/bin/activate" |
| fi |
| |
| if [ "${numba}" = "master" ]; then |
| pip install https://github.com/numba/numba/archive/main.tar.gz#egg=numba |
| elif [ "${numba}" = "latest" ]; then |
| pip install numba |
| else |
| pip install "numba==${numba}" |
| fi |
| |
| if [ "$#" -eq 1 ]; then |
| exit 0 |
| fi |
| |
| numba_cuda=$2 |
| |
| DEFAULT_CUDA_VERSION="12" |
| |
| if [ "$#" -eq 3 ]; then |
| # Extract the CUDA major version only |
| cuda_version="${3%%.*}" |
| else |
| cuda_version="${DEFAULT_CUDA_VERSION}" |
| fi |
| |
| if [ "${numba_cuda}" = "master" ]; then |
| pip install "numba-cuda[cu${cuda_version}] @ https://github.com/NVIDIA/numba-cuda/archive/main.tar.gz" |
| elif [ "${numba_cuda}" = "latest" ]; then |
| pip install "numba-cuda[cu${cuda_version}]" |
| else |
| pip install "numba-cuda[cu${cuda_version}]==${numba_cuda}" |
| fi |