code: def test_coca_cross_attention(self):
      x = torch.randn(1, 3, 4)
      model = CrossAttention(
          dim=4,
          context_dim=32,
          dim_head=64,
          heads=8,
          norm_context=True,
      )
      image_tokens = torch.randn(1, 2, 32)
      y = model(x, image_tokens)
      self.assertTrue(y.shape == torch.Size([1, 3, 4]))
  
imports: import unittest
  import torch
  from towhee.models.layers.cross_attention import CrossAttention
label_desc: Use image node_id 1 for calling the CoCaCrossAttentionTest obj's underlying member method code with example usage: obj.test_coca_cross_attention() without return types