code: def test_perceiver_self_attention(self):
      num_channels = 10
      layer = mlp(num_channels=num_channels)
      q_tensor = torch.rand(num_channels)
      out = layer(q_tensor)
      self.assertTrue(out.shape == torch.Size([10]))
  
imports: import unittest
  import torch
  from towhee.models.perceiver.mlp import mlp
label_desc: Use image node_id 1 for calling the PerceiverSelfAttentionTest obj's underlying member method code with example usage: obj.test_perceiver_self_attention() without return types