Fixed incorrect tensor and python3 compatibility (#6280)

* Fixed incorrect tensor

* Replaced xrange with range for python3 compatibility

research/deeplab/export_model.py

@@ -132,8 +132,7 @@ def main(unused_argv):
 
     predictions = tf.cast(predictions[common.OUTPUT_TYPE], tf.float32)
     # Crop the valid regions from the predictions.
-    raw_predictions = tf.identity(
-        predictions[common.OUTPUT_TYPE], _RAW_OUTPUT_NAME)
+    raw_predictions = tf.identity(predictions, _RAW_OUTPUT_NAME)
     semantic_predictions = tf.slice(
         raw_predictions,
         [0, 0, 0],

research/deeplab/train.py

@@ -357,7 +357,7 @@ def _train_deeplab_model(iterator, num_of_classes, ignore_label):
 
   tower_grads = []
   tower_summaries = None
-  for i in xrange(FLAGS.num_clones):
+  for i in range(FLAGS.num_clones):
     with tf.device('/gpu:%d' % i):
       with tf.name_scope('clone_%d' % i) as scope:
         loss = _tower_loss(