15fea0488abef42d59498d9a02e3b33fb9c7d222,keras/layers/core.py,TimeDistributedMerge,get_output,#TimeDistributedMerge#Any#,258

Before Change

        if self.mode == "sum" or self.mode == "ave":
            s = theano.tensor.sum(X, axis=1)
            if self.mode == "ave":
                s /= X.shape[1]
            return s
        elif self.mode == "mul":
            s = theano.tensor.mul(X, axis=1)
            return s

After Change

    def get_output(self, train=False):
        X = self.get_input(train)
        if self.mode == "ave":
            s = theano.tensor.mean(X, axis=1)
            return s
        if self.mode == "sum":
            s = theano.tensor.sum(X, axis=1)
            return s
        elif self.mode == "mul":

Instances