code: def print_intermediate_result(self, layer_name, if_transpose=False):
      from keras.models import Model
  
      intermediate_layer_model = Model(
          inputs=self.model.input,
          outputs=self.model.get_layer(layer_name).output,
      )
      intermediate_output = intermediate_layer_model.predict(self.data)
      super(TestKeras, self).print_intermediate_result(
          intermediate_output, if_transpose
      )
  
file_path: MMdnn/mmdnn/conversion/examples/keras/imagenet_test.py
imports: import argparse
  import numpy
  import sys
  import os
  from mmdnn.conversion.examples.imagenet_test import TestKit
  import colorsys
  from keras import backend
  from PIL import Image, ImageFont, ImageDraw
  from mmdnn.conversion.examples.keras.utils import yolo_eval
label_desc: Use image node_id 6 for calling the TestKeras obj's underlying member method code with example usage: obj.print_intermediate_result(layer_name, if_transpose) without return types