forked from mrq/DL-Art-School
w2v: new inference function
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@ -129,6 +129,11 @@ class Wav2VecWrapper(nn.Module):
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pred = logits.argmax(dim=-1)
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return [self.decode_ctc(p) for p in pred]
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def inference_logits(self, audio):
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audio_norm = (audio - audio.mean()) / torch.sqrt(audio.var() + 1e-7)
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logits = self.w2v(input_values=audio_norm.squeeze(1)).logits
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return logits
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@register_model
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def register_wav2vec_feature_extractor(opt_net, opt):
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