class_docstr: Kernel predictor for the location-variable convolutions
code: def remove_weight_norm(self):
      remove_weight_norm(self.input_conv[0])
      remove_weight_norm(self.kernel_conv)
      remove_weight_norm(self.bias_conv)
      for block in self.residual_convs:
          remove_weight_norm(block[1])
          remove_weight_norm(block[3])
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from torch.nn import Conv2d
  from torch.nn.utils import remove_weight_norm, spectral_norm, weight_norm
  from nemo.core.classes.common import typecheck
  from nemo.core.classes.module import NeuralModule
  from nemo.core.neural_types.elements import AudioSignal, MelSpectrogramType, VoidType
  from nemo.core.neural_types.neural_type import NeuralType
label_desc: Use image node_id 3 for calling the KernelPredictor obj's underlying member method code with example usage: obj.remove_weight_norm() without return types