title: Obtaining Logits of the output from deeplab model
body: <p>I'm using a pre-trained <code>deeplab</code> model (from <a href="http://download.tensorflow.org/models/deeplabv3_mnv2_pascal_train_aug_2018_01_29.tar.gz" rel="nofollow noreferrer">here</a>) to obtain segmentations for an input image. I'm able to obtain the sematic labels (i.e. <code>SemanticPredictions</code>) which is argmax applied to logits (<a href="https://github.com/tensorflow/models/blob/8cf8446b6cb0ba360a687e885c58a623c68de3ed/research/deeplab/model.py#L160" rel="nofollow noreferrer">link</a>). </p>
  
  <p>I was wondering if there is an easy way to obtain the logits before <code>argmax</code>? I was hoping to find the output tensor name and simply pass it into my tfsession 
  as in the following:</p>
  
  <pre><code>tf_session.run(
          self.OUTPUT_TENSOR_NAME,
          feed_dict={self.INPUT_TENSOR_NAME: [np.asarray(input_image)]})
  </code></pre>
  
  <p>But I have not been able to locate such tensor name in the code that reveals the logits, or softmax outputs.</p>