de2884af79ecb8242226466b1f5c82409c8e72cf,keras/layers/core.py,Merge,get_output,#Merge#Any#,401

Before Change

            import theano
            l1 = self.layers[0].get_output(train)
            l2 = self.layers[1].get_output(train)
            output, _ = theano.scan(lambda v1, v2: K.dot(v1, v2) / K.sqrt(K.dot(v1, v1) * K.dot(v2, v2)),
                                    sequences=[l1, l2],
                                    outputs_info=None)
            return output

After Change

            import theano
            l1 = self.layers[0].get_output(train)
            l2 = self.layers[1].get_output(train)
            output = T.batched_tensordot(l1, l2, self.dot_axes) / T.sqrt(T.batched_tensordot(l1, l1, self.dot_axes) * T.batched_tensordot(l2, l2, self.dot_axes))
            output = output.dimshuffle((0, "x"))
            return output
        else:
            raise Exception("Unknown merge mode")

Instances