Throw exception if load() is called on instance rather than the class

gensim/models/doc2vec.py

@@ -51,10 +51,12 @@
     sqrt, newaxis, ndarray, dot, vstack, dtype, divide as np_divide
 
 from gensim import utils, matutils  # utility fnc for pickling, common scipy operations etc
-from gensim.models.word2vec import Word2Vec, Vocab, train_cbow_pair, train_sg_pair, train_batch_sg
+from gensim.models.word2vec import Word2Vec, Vocab, train_cbow_pair, train_sg_pair, train_batch_sg, methodize
 from six.moves import xrange, zip
 from six import string_types, integer_types, itervalues
 
+from types import MethodType
+
 logger = logging.getLogger(__name__)
 
 try:
@@ -608,6 +610,10 @@ def __init__(self, documents=None, size=300, alpha=0.025, window=8, min_count=5,
         self.dbow_words = dbow_words
         self.dm_concat = dm_concat
         self.dm_tag_count = dm_tag_count
+
+        self.load = methodize(load, self)
+        self.load_word2vec_format = methodize(load, self)
+
         if self.dm and self.dm_concat:
             self.layer1_size = (self.dm_tag_count + (2 * self.window)) * self.vector_size
         else:

gensim/models/word2vec.py

@@ -94,6 +94,7 @@
 from six import iteritems, itervalues, string_types
 from six.moves import xrange
 from types import GeneratorType
+from types import MethodType
 
 logger = logging.getLogger(__name__)
 
@@ -452,6 +453,9 @@ def __init__(
         self.total_train_time = 0
         self.sorted_vocab = sorted_vocab
         self.batch_words = batch_words
+
+        self.load = methodize(load, self)
+        self.load_word2vec_format = methodize(load, self)
 
         if sentences is not None:
             if isinstance(sentences, GeneratorType):
@@ -1869,3 +1873,15 @@ def __iter__(self):
         model.accuracy(args.accuracy)
 
     logger.info("finished running %s", program)
+
+def methodize(func, instance):
+    return MethodType(func, instance.__class__)
+
+
+def load(self, *args, **kwargs):
+    raise TypeError("Call to load must be made using class")
+
+
+def load_word2vec_format(self, fname, fvocab=None, binary=False, encoding='utf8', unicode_errors='strict',
+                         limit=None, datatype=REAL):
+    raise TypeError("Call to load must be made using class")