fix loss normalization for ddp training

haoneng.lhn

2023-12-07 4152cf4615e234b9892703a8e088cdd51937fc13

 egs/wenetspeech/conformer/local/process_opus.py

@@ -65,8 +65,8 @@

            start = int(start_time_list[i] * sample_rate)
            end = int(end_time_list[i] * sample_rate)
            target_audio = waveform[:, start:end].transpose(0, 1).contiguous()
            target_audio.export(seg_wav_path, format="wav")
            target_audio = waveform[:, start:end]
            torchaudio.save(seg_wav_path, target_audio, sample_rate)

            fout.write("{} {}\n".format(utt_id, seg_wav_path))
            if i % step == 0: