How Can Torchaudio.transform.resample Be Called Without __call__ Function Inside?

if sample_rate != sr: waveform = torchaudio.transforms.Resample(sample_rate, sr)(waveform) sample_rate = sr I was wondering how this Resamle works in there. So too

Solution 1:

Here's simple similar demonstrates of how forward function works in PyTorch.

Check this:

from typing importCallable, Anyclassparent:
    def_unimplemented_forward(self, *input):
        raise NotImplementedError

    def_call_impl(self, *args):
        # original nn.Module _call_impl function contains lot more code# to handle exceptions, to handle hooks and for other purposes
        self.forward(*args)
    
    forward : Callable[..., Any]  = _unimplemented_forward
    __call__ : Callable[..., Any] = _call_impl

classchild(parent):
    defforward(self, *args):
        print('forward function')


classchild_2(parent):
    pass

Runtime:

>>> c1 = child_1()
>>> c1()
forward function
>>> c2 = child_2()
>>> c2()
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File ".\callable.py", line 8, in _call_impl
    self.forward(*args)
  File ".\callable.py", line 5, in _unimplemented_forward
    raise NotImplementedError
NotImplementedError