Copying the changes I had on the nobias_fix branch

Author: AvantiShri

deeplift/conversion/kerasapi_conversion.py

@@ -119,8 +119,9 @@ def conv2d_conversion(config,
             name=("preact_" if len(converted_activation) > 0
                         else "")+name,
             kernel=config[KerasKeys.weights][0],
-            bias=(config[KerasKeys.weights][1]
-                  if len(config[KerasKeys.weights]) > 1 else np.zeros(1)),
+            bias=(config[KerasKeys.weights][1] if 
+                  len(config[KerasKeys.weights]) > 1
+                  else np.zeros(config[KerasKeys.weights][0].shape[-1])),
             strides=config[KerasKeys.strides],
             padding=config[KerasKeys.padding].upper(),
             data_format=config[KerasKeys.data_format],
@@ -151,8 +152,9 @@ def conv1d_conversion(config,
             name=("preact_" if len(converted_activation) > 0
                         else "")+name,
             kernel=config[KerasKeys.weights][0],
-            bias=(config[KerasKeys.weights][1]
-                  if len(config[KerasKeys.weights]) > 1 else np.zeros(1)),
+            bias=(config[KerasKeys.weights][1] if 
+                  len(config[KerasKeys.weights]) > 1
+                  else np.zeros(config[KerasKeys.weights][0].shape[-1])),
             stride=config[KerasKeys.strides],
             padding=config[KerasKeys.padding].upper(),
             conv_mxts_mode=conv_mxts_mode)] 
@@ -179,8 +181,9 @@ def dense_conversion(config,
                   name=("preact_" if len(converted_activation) > 0
                         else "")+name, 
                   kernel=config[KerasKeys.weights][0],
-                  bias=(config[KerasKeys.weights][1]
-                        if len(config[KerasKeys.weights]) > 1 else np.zeros(1)),
+                  bias=(config[KerasKeys.weights][1] if 
+                        len(config[KerasKeys.weights]) > 1 
+                        else np.zeros(config[KerasKeys.weights][0].shape[-1])),
                   verbose=verbose,
                   dense_mxts_mode=dense_mxts_mode)]
     to_return.extend(converted_activation)