code: def test_vision_transformer_basic_head(self):
      batch_size = 8
      seq_len = 10
      input_dim = 10
      out_dim = 20
      head = VisionTransformerBasicHead(
          in_features=input_dim,
          out_features=out_dim,
      )
      fake_input = torch.rand(batch_size, seq_len, input_dim)
      output = head(fake_input)
      gt_shape = (batch_size, out_dim)
      self.assertEqual(tuple(output.shape), gt_shape)
  
imports: import torch
  import unittest
  from towhee.models.layers.vision_transformer_basic_head import VisionTransformerBasicHead
label_desc: Use image node_id 1 for calling the VisionTransformerBasicHeadTest obj's underlying member method code with example usage: obj.test_vision_transformer_basic_head() without return types