[Quantization] automatic mixed precision quantization

wanchen.swc

2023-03-15 8a620a5a36df782e1f9e8cc56064d5dc6a1330b5

 funasr/models/e2e_uni_asr.py

@@ -206,7 +206,7 @@
            with torch.no_grad():
                speech_raw, encoder_out, encoder_out_lens = self.encode(speech, speech_lengths, ind=ind)
        else:
            speech_raw, encoder_out_lens = self.encode(speech, speech_lengths, ind=ind)
            speech_raw, encoder_out, encoder_out_lens = self.encode(speech, speech_lengths, ind=ind)

        intermediate_outs = None
        if isinstance(encoder_out, tuple):