original_docstring: 
      Prepares the GoogleNet model after its conversion from Caffe
      :param model_wrapper:
      :return:
      
docstring: Prepares the GoogleNet model after its conversion from Caffe
docstring_tokens: Prepares the GoogleNet model after its conversion from Caffe
code: def prepareGoogleNet_Food101(model_wrapper):
      """
      Prepares the GoogleNet model after its conversion from Caffe
      :param model_wrapper:
      :return:
      """
      # Remove unnecessary intermediate optimizers
      layers_to_delete = ['loss2/ave_pool', 'loss2/conv', 'loss2/relu_conv',
                          'loss2/fc_flatten', 'loss2/fc',
                          'loss2/relu_fc', 'loss2/drop_fc', 'loss2/classifier',
                          'output_loss2/loss',
                          'loss1/ave_pool', 'loss1/conv', 'loss1/relu_conv',
                          'loss1/fc_flatten', 'loss1/fc',
                          'loss1/relu_fc', 'loss1/drop_fc', 'loss1/classifier',
                          'output_loss1/loss']
      model_wrapper.removeLayers(layers_to_delete)
      model_wrapper.removeOutputs(['loss1/loss', 'loss2/loss'])
code_tokens: def prepareGoogleNet_Food101 ( model_wrapper ) : layers_to_delete = [ 'loss2/ave_pool' , 'loss2/conv' , 'loss2/relu_conv' , 'loss2/fc_flatten' , 'loss2/fc' , 'loss2/relu_fc' , 'loss2/drop_fc' , 'loss2/classifier' , 'output_loss2/loss' , 'loss1/ave_pool' , 'loss1/conv' , 'loss1/relu_conv' , 'loss1/fc_flatten' , 'loss1/fc' , 'loss1/relu_fc' , 'loss1/drop_fc' , 'loss1/classifier' , 'output_loss1/loss' ] model_wrapper . removeLayers ( layers_to_delete ) model_wrapper . removeOutputs ( [ 'loss1/loss' , 'loss2/loss' ] )
short_docstring: Prepares the GoogleNet model after its conversion from Caffe
short_docstring_tokens: Prepares the GoogleNet model after its conversion from Caffe
comment: """
      Prepares the GoogleNet model after its conversion from Caffe
      :param model_wrapper:
      :return:
      """$SEP$# Remove unnecessary intermediate optimizers