code: def __init__(self, m, n, k):
      super(IdentityLayer3D, self).__init__()
      self.weight = Parameter(torch.Tensor(m, n, k))
      torch.nn.init.xavier_normal_(self.weight)
  
imports: from mpu import layers
  from commons import set_random_seed
  from commons import print_separator
  from commons import initialize_distributed
  import mpu
  from torch.nn.parameter import Parameter
  import torch.nn.init
  import torch
  import random
  import sys
label_desc: Use image node_id 1 to create a new IdentityLayer3D object from inherited base classes: torch.nn with example: obj = IdentityLayer3D(m, n, k)