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modelscope / FunCodec

FunCodec is a research-oriented toolkit for audio quantization and downstream applications, such as text-to-speech synthesis, music generation et.al.
https://funcodec.github.io/
MIT License
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TypeError: 'NoneType' object is not callable #33

Closed a897456 closed 7 months ago

a897456 commented 7 months ago

I didn't run run.h, directly run codec_train.py, because I wanted to know the architecture of the whole program. But I have this problem. Do you know the reason?

Traceback (most recent call last): File "E:\00\FunCodec-master\funcodec\bin\codec_train.py", line 48, in main(args=args) File "E:\00\FunCodec-master\funcodec\bin\codec_train.py", line 23, in main GANSpeechCodecTask.main(args=args, cmd=cmd) File "E:\00\FunCodec-master\funcodec\tasks\abs_task.py", line 1130, in main cls.main_worker(args) File "E:\00\FunCodec-master\funcodec\tasks\abs_task.py", line 1239, in main_worker model = cls.build_model(args=args) File "E:\00\FunCodec-master\funcodec\tasks\gan_speech_codec.py", line 310, in build_model frontend = frontend_class(**args.frontend_conf) TypeError: 'NoneType' object is not callable

ZhihaoDU commented 7 months ago

I think this error is due to the uncompleted configuration. I recommend you first run the run.sh, then the log file will be created automatically. Then, you can find the python command at the first line in the log file. You can use this python command to learn the whole framework.

a897456 commented 7 months ago

I think this error is due to the uncompleted configuration. I recommend you first run the run.sh, then the log file will be created automatically. Then, you can find the python command at the first line in the log file. You can use this python command to learn the whole framework.

The reason why I don't run run.h is because it will download the dataset and it will take a long time. In fact, there is already a dataset, I can copy it, so your run.h code can add a judgment: if there is a data set, don't download it. But I don't know how to edit this code, can you help me?

https://github.com/alibaba-damo-academy/FunCodec/blob/3435d870126a48fe61a87fac1af3b6530be388ea/egs/LibriTTS/codec/run.sh#L77-L88

ZhihaoDU commented 7 months ago

First, you should download, unzip and place the dataset as expect of the stage 0. Then, you can skip the download stage and start from stage 1 as follows: bash run.sh --stage 1 ....

a897456 commented 7 months ago

First, you should download, unzip and place the dataset as expect of the stage 0. Then, you can skip the download stage and start from stage 1 as follows: bash run.sh --stage 1 ....

Wow, so easy, so cool, nice job.