code: def __init__(self, take_log_of_input=False):
      super(AttributeProcessing, self).__init__()
      self.take_log_of_input = take_log_of_input
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from nemo.collections.tts.modules.common import ConvLSTMLinear
  from nemo.collections.tts.modules.submodules import ConvNorm, MaskedInstanceNorm1d
  from nemo.collections.tts.modules.transformer import FFTransformer
  from nemo.collections.tts.parts.utils.helpers import get_mask_from_lengths
label_desc: Use image node_id 1 to create a new AttributeProcessing object from inherited base classes: nn with example: obj = AttributeProcessing(take_log_of_input)