SEMLLYCAT

In addition, I tried to use the official pre-training model to load into demucs_lightning, but encountered many problems At 2023-02-19 05:02:26, "Joseph Turian" ***@***.***> wrote: @SEMLLYCAT You can load htdemucs...

I don't know how to load the official pre-training model into the demucs_lightning version, please solve this problem at your convenience，thank you！ At 2023-02-19 05:02:26, "Joseph Turian" ***@***.***> wrote: @SEMLLYCAT...

Thank you for your reply. I have a question, please check it. eg: import torch as nn class TestLstm(nn.Module): def init(self, input_size, hidden_size, rnn_type='LSTM', droupt=0, bidirectional=False): super(TestLstm, self).init() self.rnn =...

> > > > 我在嵌入式平台上纯C写的推理，开了O3优化，5ms的推理速度。做完量化小于2ms。 > > > > > > > > > 什么U？ > > > > > > 国产平台，主频1.2GHz左右，跑起来的时候占用是低于5%的。 > > 太强了，我做完量化后，采用的芯片npu推理，16ms音频大概需要3ms，跑起来大概20%。 但是在实时用的时候，有些女声声音，做完后会偶尔抑制，听感上有电音感。 太强了，请问量化后精度损失多少

Thank you for your reply. I have been trying to quantify the model recently. I hope you can provide valuable comments and I will forward the model to you by...

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I hope you can help to answer this question in your spare time, thank you