| # 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() |