Fixes Python 3.x error and dependency deprecation warning in research/skip_thoughts (#5571)

* Adds try/except block to str.decode for python3.x

* Fixes deprecation warning

* Fixes attribute error with python3

* uses mode='rb' instead of try/except block for python2/3 compatability

research/skip_thoughts/skip_thoughts/encoder_manager.py

@@ -61,9 +61,10 @@ class EncoderManager(object):
         containing a checkpoint file.
     """
     tf.logging.info("Reading vocabulary from %s", vocabulary_file)
-    with tf.gfile.GFile(vocabulary_file, mode="r") as f:
+    with tf.gfile.GFile(vocabulary_file, mode="rb") as f:
       lines = list(f.readlines())
     reverse_vocab = [line.decode("utf-8").strip() for line in lines]
+    
     tf.logging.info("Loaded vocabulary with %d words.", len(reverse_vocab))
 
     tf.logging.info("Loading embedding matrix from %s", embedding_matrix_file)

research/skip_thoughts/skip_thoughts/vocabulary_expansion.py

@@ -107,7 +107,7 @@ def _load_vocabulary(filename):
   """
   tf.logging.info("Reading vocabulary from %s", filename)
   vocab = collections.OrderedDict()
-  with tf.gfile.GFile(filename, mode="r") as f:
+  with tf.gfile.GFile(filename, mode="rb") as f:
     for i, line in enumerate(f):
       word = line.decode("utf-8").strip()
       assert word not in vocab, "Attempting to add word twice: %s" % word
@@ -179,7 +179,7 @@ def main(unused_argv):
   skip_thoughts_vocab = _load_vocabulary(FLAGS.skip_thoughts_vocab)
 
   # Load the Word2Vec model.
-  word2vec = gensim.models.Word2Vec.load_word2vec_format(
+  word2vec = gensim.models.KeyedVectors.load_word2vec_format(
       FLAGS.word2vec_model, binary=True)
 
   # Run vocabulary expansion.