def call(self, inputs, mask=None):
   pos = K.relu(inputs)
   if K.backend() == 'theano':
     neg = (K.pattern_broadcast(self.alpha, self.param_broadcast) *
            (inputs - K.abs(inputs)) * 0.5)
   else:
     neg = -self.alpha * K.relu(-inputs)
   return pos + neg
 def call(self, inputs, mask=None):
     pos = K.relu(inputs)
     if K.backend() == 'theano':
         neg = (K.pattern_broadcast(self.alpha, self.param_broadcast) *
                (inputs - K.abs(inputs)) * 0.5)
     else:
         neg = -self.alpha * K.relu(-inputs)
     return pos + neg