class_docstr: Test RepMLP model
code: def test_repmlp_unit(self):
      data = torch.rand(1, 4, 6, 6)
      model = RepMLPNetUnit(
          channels=4,
          h=3,
          w=3,
          reparam_conv_k=(1, 1),
          globalperceptron_reduce=4,
      )
      outs = model(data)
      # print(out.shape)
      self.assertTrue(outs.shape == (1, 4, 6, 6))
  
file_path: towhee/tests/unittests/models/repmlp/test_repmlp.py
imports: import unittest
  import torch
  from towhee.models.repmlp import RepMLPNetUnit, RepMLPNet, create_model
label_desc: Use image node_id 1 for calling the TestRepMLP obj's underlying member method code with example usage: obj.test_repmlp_unit() without return types