# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
#
# 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 ...utils.device import get_default_device, parse_device
from ...utils.env import get_device_type
from ...utils.import_guard import import_paddle_module


def is_mkldnn_available():
    # XXX: Not sure if this is the best way to check if MKL-DNN is available
    Config = import_paddle_module("paddle.inference").Config

    return hasattr(Config, "set_mkldnn_cache_capacity")


def is_bfloat16_available(device):
    paddle_amp = import_paddle_module("paddle.amp")

    if device is None:
        device = get_default_device()
    device_type, _ = parse_device(device)
    return ("npu" in get_device_type() or paddle_amp.is_bfloat16_supported()) and (
        device_type in ("gpu", "npu", "xpu", "mlu", "metax_gpu", "iluvatar_gpu")
    )


def is_float16_available(device):
    paddle_amp = import_paddle_module("paddle.amp")

    if device is None:
        device = get_default_device()
    device_type, _ = parse_device(device)
    return ("npu" in get_device_type() or paddle_amp.is_float16_supported()) and (
        "gpu",
        "npu",
        "xpu",
        "mlu",
        "dcu",
        "metax_gpu",
        "iluvatar_gpu",
    )