class_docstr: Gaussian noise applied to padded samples. No
  noise is added to positions that are part of padding
  
  Arguments
  ---------
  length_dim: int
      the
code: def __init__(self, length_dim=1):
      super().__init__()
      self.length_dim = length_dim
  
imports: from collections import namedtuple
  import torch
  from torch import nn
  from torch.nn import functional
  from tqdm.auto import tqdm
  from speechbrain.utils.data_utils import unsqueeze_as
  from speechbrain.dataio.dataio import length_to_mask
  from speechbrain.utils import data_utils
label_desc: Use image node_id 1 to create a new LengthMaskedGaussianNoise object from inherited base classes: nn with example: obj = LengthMaskedGaussianNoise(length_dim)