code: def __call__(self, f0: torch.Tensor):
      bin_idx = (
          (f0.view(-1, 1) > self.bins.view(1, -1)).long().sum(dim=1)
      )
      return bin_idx
  
file_path: textlesslib/textless/data/f0_preprocess.py
imports: import torch
  import amfm_decompy.basic_tools
  import amfm_decompy.pYAAPT
  from librosa.util import normalize
  import numpy
  from scipy.interpolate import interp1d
label_desc: Use image node_id 2 for calling the F0BinQuantizer obj's underlying member method code with example usage: obj.__call__(f0) and returns: bin_idx