class_docstr: Test utils for ConvNeXt
code: def test_norm_layer(self):
      data1 = torch.rand(1, 2, 2, 3).to(self.device)
      layer1 = LayerNorm(3, data_format="channels_last").to(self.device)
      outs1 = layer1(data1)
      self.assertTrue(outs1.shape == (1, 2, 2, 3))
  
      data2 = torch.rand(1, 3, 2, 2).to(self.device)
      layer2 = LayerNorm(3, data_format="channels_first").to(
          self.device
      )
      outs2 = layer2(data2)
      self.assertTrue(outs2.shape == (1, 3, 2, 2))
  
imports: import unittest
  import torch
  from towhee.models.convnext.utils import LayerNorm, Block
label_desc: Use image node_id 1 for calling the TestUtils obj's underlying member method code with example usage: obj.test_norm_layer() without return types