I created a music dataset including vocal and instrument, and I tried to use Conv-tasnet to sepatate the vocal and instrument. I have successfully used other people’s datasets for training first, but when I use my dataset to train, it keeps failing and I can’t find the problem. Here is the error and my datasets. Did I miss something?
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The code in your screenshots is quite hard to read, so please post code snippets by wrapping them into three backticks ```, as it’s easier to read/debug, and the search engine would be able to index it as well if other users hit similar issues.
Based on what I can see it seems that a local variable is references before its assignment, so you would need to check where its definition is.
Thank you for your reply. I am sorry that I forgot to give the complete code.
“i” is the index of “data”,and there is no other same variable outside the def.
If the data_loader is empty, i will be undefined:
def fun():
for i in range(0):
print('inside loop')
return 1 / i
fun()
> UnboundLocalError: local variable 'i' referenced before assignment
PS: I would still recommend to post code snippets directly instead of screenshots.
Hi @userTsai, there is a training recipe of Conv-TasNet in torchaudio. You can follow the implementation here: audio/lightning_train.py at main · pytorch/audio · GitHub for your own dataset.