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Open Unmix functional interface

Separates a torch.Tensor or the content of an audio file.

If a separator is provided, use it for inference. If not, create one
and use it afterwards.

Args:
    audio: audio to process
        torch Tensor: shape (channels, length), and
        `rate` must also be provided.
    rate: int or None: only used if audio is a Tensor. Otherwise,
        inferred from the file.
    model_str_or_path: the pretrained model to use, defaults to UMX-L
    targets (str): select the targets for the source to be separated.
        a list including: ['vocals', 'drums', 'bass', 'other'].
        If you don't pick them all, you probably want to
        activate the `residual=True` option.
        Defaults to all available targets per model.
    niter (int): the number of post-processingiterations, defaults to 1
    residual (bool): if True, a "garbage" target is created
    wiener_win_len (int): the number of frames to use when batching
        the post-processing step
    aggregate_dict (str): if provided, must be a string containing a '
        'valid expression for a dictionary, with keys as output '
        'target names, and values a list of targets that are used to '
        'build it. For instance: '{"vocals":["vocals"], '
        '"accompaniment":["drums","bass","other"]}'
    separator: if provided, the model.Separator object that will be used
         to perform separation
    device (str): selects device to be used for inference
    filterbank (str): filterbank implementation method.
        Supported are `['torch', 'asteroid']`. `torch` is about 30% faster
        compared to `asteroid` on large FFT sizes such as 4096. However,
        asteroids stft can be exported to onnx, which makes is practical
        for deployment.
T)model_str_or_pathtargetsniterresidualwiener_win_lendevice
pretrained
filterbankzrate` must be provided.)aggregate_dict)r   load_separatorfreezeto	Exception
preprocesssample_rateto_dict)audiorater   r   r   r   r	   r   	separatorr
   r   	estimatess               N/mnt/rpi/tmp/demucs-venv-sys/lib/python3.13/site-packages/openunmix/predict.pyseparater      s    f ((/)!	
	 	LL |122 U)*?*?@E % I!!)!KI    )
NumxlN   Fi,  NNNtorch)	openunmixr   r    r   r   <module>r!      s.    
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