Unify base class using new-style (object).

architectures/architecture.py

@@ -17,7 +17,7 @@
 from configurations import Preset
 
 
-class Architecture:
+class Architecture(object):
     def __init__(self, tuning_parameters, name=""):
         """
         :param tuning_parameters: A Preset class instance with all the running paramaters

architectures/neon_components/embedders.py

@@ -19,7 +19,7 @@ import ngraph as ng
 from ngraph.util.names import name_scope
 
 
-class InputEmbedder:
+class InputEmbedder(object):
     def __init__(self, input_size, batch_size=None, activation_function=neon.Rectlin(), name="embedder"):
         self.name = name
         self.input_size = input_size

architectures/neon_components/heads.py

@@ -22,7 +22,7 @@ from utils import force_list
 from architectures.neon_components.losses import *
 
 
-class Head:
+class Head(object):
     def __init__(self, tuning_parameters, head_idx=0, loss_weight=1., is_local=True):
         self.head_idx = head_idx
         self.name = "head"

architectures/neon_components/middleware.py

@@ -20,7 +20,7 @@ from ngraph.util.names import name_scope
 import numpy as np
 
 
-class MiddlewareEmbedder:
+class MiddlewareEmbedder(object):
     def __init__(self, activation_function=neon.Rectlin(), name="middleware_embedder"):
         self.name = name
         self.input = None

architectures/network_wrapper.py

@@ -29,7 +29,7 @@ except ImportError:
     failed_imports.append("Neon")
 
 
-class NetworkWrapper:
+class NetworkWrapper(object):
     def __init__(self, tuning_parameters, has_target, has_global, name, replicated_device=None, worker_device=None):
         """
         

architectures/tensorflow_components/embedders.py

@@ -17,7 +17,7 @@
 import tensorflow as tf
 
 
-class InputEmbedder:
+class InputEmbedder(object):
     def __init__(self, input_size, activation_function=tf.nn.relu, name="embedder"):
         self.name = name
         self.input_size = input_size

architectures/tensorflow_components/heads.py

@@ -28,7 +28,7 @@ def normalized_columns_initializer(std=1.0):
     return _initializer
 
 
-class Head:
+class Head(object):
     def __init__(self, tuning_parameters, head_idx=0, loss_weight=1., is_local=True):
         self.head_idx = head_idx
         self.name = "head"

architectures/tensorflow_components/middleware.py

@@ -18,7 +18,7 @@ import tensorflow as tf
 import numpy as np
 
 
-class MiddlewareEmbedder:
+class MiddlewareEmbedder(object):
     def __init__(self, activation_function=tf.nn.relu, name="middleware_embedder"):
         self.name = name
         self.input = None