################################################################################
# Copyright(c)2020-2025 Shanghai Biren Technology Co., Ltd. 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.
#
################################################################################
import torch
import torch_br
from fastcore.basics import patch_to

from vllm.model_executor.layers.activation import QuickGELU, SiluAndMul


@patch_to(SiluAndMul)
def silu_and_mul_forward_oot(self, x: torch.Tensor) -> torch.Tensor:
    d = x.shape[-1] // 2
    return torch_br.supa_silumul(x[..., :d], x[..., d:])  # type: ignore


@patch_to(QuickGELU)
def quick_gelu_forward_oot(self, x: torch.Tensor) -> torch.Tensor:  # noqa:F811
    return self.forward_native(x)