code: def test_model_forward(self):
      image_shape = (3, 260, 260)
      num_images = (10,)
      input = torch.randn(num_images + image_shape)
      model = build_model(self.get_model_config())
      model(input)
  
file_path: ClassyVision/test/models_efficientnet_test.py
imports: import unittest
  import torch
  from classy_vision.models import build_model, EfficientNet
label_desc: Use image node_id 4 for calling the TestEfficientNetModel obj's underlying member method code with example usage: obj.test_model_forward() without return types