code: def test_slim_layer(self):
      with self.assertNotRaises(Exception):
          with slim.arg_scope(inception_v3_arg_scope()):
              # Alternatively, you should implement inception_v3 without TensorLayer as follow.
              # logits, end_points = inception_v3(X, num_classes=1001,
              #                                   is_training=False)
              tl.layers.SlimNetsLayer(
                  self.net_in["slim"],
                  slim_layer=inception_v3,
                  slim_args={
                      "num_classes": 1001,
                      "is_training": False,
                      #  'dropout_keep_prob' : 0.8,       # for training
                      #  'min_depth' : 16,
                      #  'depth_multiplier' : 1.0,
                      #  'prediction_fn' : slim.softmax,
                      #  'spatial_squeeze' : True,
                      #  'reuse' : None,
                      #  'scope' : 'InceptionV3'
                  },
                  name="InceptionV3",  # <-- the name should be the same with the ckpt model
              )
  
file_path: TensorLayer/tests/pending/test_layers_importer.py
imports: import os
  import unittest
  import tensorflow
  from tensorflow.contrib.slim.python.slim.nets.inception_v3 import inception_v3, inception_v3_arg_scope
  import tensorlayer
  from tests.utils import CustomTestCase
label_desc: Use image node_id 4 for calling the Layer_Importer_Test obj's underlying member method code with example usage: obj.test_slim_layer() without return types