message: Tensorflow: adds additional debugging info to feed_dict failure condition.
  If you have a large feed dict, determining the type of each object can be difficult, and this additional debugging info helped me in such a case.
diff: @@ -1085,7 +1085,10 @@ class BaseSession(SessionInterface):
  if isinstance(subfeed_val, ops.Tensor):
  raise TypeError('The value of a feed cannot be a tf.Tensor object. '
  'Acceptable feed values include Python scalars, '
  - 'strings, lists, numpy ndarrays, or TensorHandles.')
  + 'strings, lists, numpy ndarrays, or TensorHandles.'
  + 'For reference, the tensor object was ' +
  + str(feed_val) + ' which was passed to the '
  + 'feed with key ' + str(feed) + '.')
  subfeed_dtype = subfeed_t.dtype.as_numpy_dtype
  if isinstance(subfeed_val, int) and _convert_to_numpy_obj(
  