code: def test_vision_transformer_head(self):
      batch_size = 2
      in_plane = 3
      num_classes = 5
      head = VisionTransformerHead(
          "default_head",
          num_classes=num_classes,
          in_plane=in_plane,
      )
      input = torch.rand([batch_size, in_plane])
      output = head(input)
      self.assertEqual(
          output.shape, torch.Size([batch_size, num_classes])
      )
  
imports: import unittest
  import torch
  from classy_vision.heads.vision_transformer_head import VisionTransformerHead
label_desc: Use image node_id 1 for calling the TestVisionTransformerHead obj's underlying member method code with example usage: obj.test_vision_transformer_head() without return types