code: def __init__(self, m, n):
      super(IdentityLayer2D, self).__init__()
      self.weight = Parameter(torch.Tensor(m, n))
      torch.nn.init.xavier_normal_(self.weight)
  
file_path: fairscale/tests/nn/model_parallel/test_layers.py
imports: import os
  import pytest
  import torch
  import torch.nn.init
  from torch.nn.parameter import Parameter
  from fairscale.fair_dev.testing.testing import dist_init, set_random_seed, spawn_for_all_world_sizes
  from fairscale.nn.model_parallel import initialize
  from fairscale.nn.model_parallel import layers
label_desc: Use image node_id 1 to create a new IdentityLayer2D object from inherited base classes: torch.nn with example: obj = IdentityLayer2D(m, n)