class_docstr: Test RepMLP model
code: def test_model(self):
      x = torch.rand(1, 3, 4, 4).to(self.device)
  
      model1 = create_model(
          large_kernel_sizes=[13, 7],
          layers=[1, 2],
          channels=[7, 5],
          drop_rate=0.2,
          small_kernel=3,
          dw_ratio=1,
          ffn_ratio=4,
          in_channels=3,
          num_classes=10,
          deep_fuse=False,
      ).to(self.device)
      outs1 = model1(x)
      self.assertTrue(outs1.shape, (1, 10))
  
      model1.structural_reparam()
      outs1 = model1(x)
      self.assertTrue(outs1.shape, (1, 10))
  
      model2 = create_model(
          large_kernel_sizes=[13, 7],
          layers=[1, 2],
          channels=[7, 5],
          drop_rate=0.2,
          small_kernel=3,
          dw_ratio=1,
          ffn_ratio=4,
          in_channels=3,
          num_classes=None,
          out_indices=[1],
          norm_intermediate_features=True,
      ).to(self.device)
      outs2 = model2(x)
      self.assertTrue(len(outs2) == 1)
      self.assertTrue(outs2[0].shape, (1, 10))
  
      # Test exceptions
      with self.assertRaises(ValueError) as e:
          create_model(num_classes=10, norm_intermediate_features=True)
      self.assertEqual(
          str(e.exception),
          "for pretraining, no need to normalize the intermediate feature maps",
      )
  
      with self.assertRaises(ValueError) as e:
          create_model(num_classes=None)
      self.assertEqual(
          str(e.exception),
          "must specify one of num_classes (for pretraining) and out_indices (for downstream tasks)",
      )
  
      with self.assertRaises(ValueError) as e:
          create_model(num_classes=10, out_indices=[0])
      self.assertEqual(
          str(e.exception),
          "cannot specify both num_classes (for pretraining) and out_indices (for downstream tasks)",
      )
  
imports: import unittest
  import torch
  from towhee.models.replknet import create_model
label_desc: Use image node_id 1 for calling the TestModel obj's underlying member method code with example usage: obj.test_model() without return types