class_docstr: Implementation of a leanable sigmoid.
  
  Arguments
  ---------
  in_features : int
      Input dimensionality
class_docstr_tok: ["Implementation","of","a","leanable","sigmoid",".","Arguments","--","--","--","--","-","in_features",":","int","Input","dimensionality"]
code: def __init__(self, in_features=257):
      super().__init__()
      self.slope = nn.Parameter(torch.ones(in_features))
      self.slope.requiresGrad = True
  
file_path: speechbrain/speechbrain/lobes/models/MetricGAN.py
imports: import torch
  import speechbrain
  from torch import nn
  from torch.nn.utils import spectral_norm
label_desc: Use image node_id 1 to create a new Learnable_sigmoid object from inherited base classes: nn with example: obj = Learnable_sigmoid(in_features)