#
# Copyright (c) 2022-2023, NVIDIA CORPORATION.
#
# Licensed 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.
#
from cuml.internals.device_support import GPU_ENABLED
from cuml.internals.safe_imports import gpu_only_import_from, UnavailableError

try:
    from functools import cache  # requires Python >= 3.9
except ImportError:
    from functools import lru_cache

    cache = lru_cache(maxsize=None)


get_cuda_count = gpu_only_import_from("rmm._cuda.gpu", "getDeviceCount")


@cache
def is_cuda_available():
    try:
        return GPU_ENABLED and get_cuda_count() >= 1
    except UnavailableError:
        return False
