# Copyright (C) 2025. Huawei Technologies Co., Ltd. All Rights Reserved. (authors: Xiao Chen)

# 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 patch_utils import MindSpeedPatchesManager as aspm
import torch_npu

def cnn_feature_forward_npu(self, x):

    # BxT -> BxCxT
    x = x.unsqueeze(1)

    for conv in self.conv_layers:
        # x = conv(x)
        x_tmp = conv[:-1](x)
        x = torch_npu.npu_gelu(x_tmp)

    return x

def patch_for_npu():
    # replace torch.cuda.get_device_capability with implementation from MindSpeed
    aspm.register_patch('fairseq.models.wav2vec.wav2vec2.ConvFeatureExtractionModel.forward', cnn_feature_forward_npu)
    aspm.apply_patches()