prompt_text 对于我的电话,他回的越来越少,看向硝烟的眼神却越来越温柔,他们吵了四年的CP,从未承认,却一直暧昧。 INFO: 127.0.0.1:37136 - "GET /?refer_wav_path=%2Ftmp%2Ftmpun1yp9m7myvoice.wav&prompt_text=%E5%AF%B9%E4%BA%8E%E6%88%91%E7%9A%84%E7%94%B5%E8%AF%9D%2C%E4%BB%96%E5%9B%9E%E7%9A%84%E8%B6%8A%E6%9D%A5%E8%B6%8A%E5%B0%91%2C%E7%9C%8B%E5%90%91%E7%A1%9D%E7%83%9F%E7%9A%84%E7%9C%BC%E7%A5%9E%E5%8D%B4%E8%B6%8A%E6%9D%A5%E8%B6%8A%E6%B8%A9%E6%9F%94%2C%E4%BB%96%E4%BB%AC%E5%90%B5%E4%BA%86%E5%9B%9B%E5%B9%B4%E7%9A%84CP%2C%E4%BB%8E%E6%9C%AA%E6%89%BF%E8%AE%A4%2C%E5%8D%B4%E4%B8%80%E7%9B%B4%E6%9A%A7%E6%98%A7%E3%80%82&prompt_language=all_zh&text=%E5%9B%A0%E6%AD%A4%EF%BC%8C%E6%B2%A1%E6%9C%89%E4%B8%80%E4%B8%AA%E5%9B%BA%E5%AE%9A%E7%9A%84%E7%AD%94%E6%A1%88%E6%9D%A5%E6%8F%8F%E8%BF%B0%E6%89%80%E6%9C%89%E6%83%85%E5%86%B5%E4%B8%8B%E7%BC%96%E7%A0%81%E5%90%8E%E5%AD%97%E7%AC%A6%E4%B8%B2%E7%9A%84%E5%85%B7%E4%BD%93%E9%95%BF%E5%BA%A6%EF%BC%8C%E5%AE%83%E4%BC%9A%E6%A0%B9%E6%8D%AE%E4%BD%A0%E9%9C%80%E8%A6%81%E7%BC%96%E7%A0%81%E7%9A%84%E5%8E%9F%E5%A7%8B%E6%95%B0%E6%8D%AE%E7%9A%84%E5%A4%A7%E5%B0%8F%E8%80%8C%E6%9C%89%E6%89%80%E4%B8%8D%E5%90%8C%E3%80%82%E5%AF%B9%E4%BA%8E%E5%85%B7%E4%BD%93%E6%83%85%E5%86%B5%E4%B8%8B%E7%9A%84%E7%B2%BE%E7%A1%AE%E9%95%BF%E5%BA%A6%EF%BC%8C%E9%9C%80%E8%A6%81%E6%A0%B9%E6%8D%AE%E5%AE%9E%E9%99%85%E7%9A%84%E5%8E%9F%E5%A7%8B%E6%95%B0%E6%8D%AE%E5%92%8C%E7%BC%96%E7%A0%81%E8%A7%84%E5%88%99%E6%9D%A5%E7%A1%AE%E5%AE%9A%E3%80%82&text_language=all_zh HTTP/1.1" 200 OK Building prefix dict from the default dictionary ... DEBUG:jieba_fast:Building prefix dict from the default dictionary ... Dumping model to file cache /tmp/jieba.cache DEBUG:jieba_fast:Dumping model to file cache /tmp/jieba.cache Loading model cost 0.631 seconds. Prefix dict has been built succesfully. DEBUG:jieba_fast:Loading model cost 0.631 seconds. DEBUG:jieba_fast:Prefix dict has been built succesfully. 0%| | 0/1500 [00:00 963] 40%|████ | 603/1500 [00:06<00:09, 93.75it/s] 40%|████ | 606/1500 [00:06<00:09, 92.30it/s] huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks... To disable this warning, you can either: - Avoid using `tokenizers` before the fork if possible - Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false) /root/.pyenv/versions/3.9.19/lib/python3.9/site-packages/torch/functional.py:650: UserWarning: stft with return_complex=False is deprecated. In a future pytorch release, stft will return complex tensors for all inputs, and return_complex=False will raise an error. Note: you can still call torch.view_as_real on the complex output to recover the old return format. (Triggered internally at ../aten/src/ATen/native/SpectralOps.cpp:863.) return _VF.stft(input, n_fft, hop_length, win_length, window, # type: ignore[attr-defined]