Merge pull request #690 from EderSantana/master

Add merge_mode join

keras/layers/core.py

@@ -5,6 +5,8 @@ import theano
 import theano.tensor as T
 import numpy as np
 
+from collections import OrderedDict
+
 from .. import activations, initializations, regularizers, constraints
 from ..utils.theano_utils import shared_zeros, floatX
 from ..utils.generic_utils import make_tuple
@@ -231,6 +233,15 @@ class Merge(Layer):
         elif self.mode == 'concat':
             inputs = [self.layers[i].get_output(train) for i in range(len(self.layers))]
             return T.concatenate(inputs, axis=self.concat_axis)
+        elif self.mode == 'join':
+            inputs = OrderedDict()
+            for i in range(len(self.layers)):
+                X = self.layers[i].get_output(train)
+                if X.name is None:
+                    raise ValueError("merge_mode='join' only works with named inputs")
+                else:
+                    inputs[X.name] = self.layers[i].get_output(train)
+            return inputs
         elif self.mode == 'mul':
             s = self.layers[0].get_output(train)
             for i in range(1, len(self.layers)):