b9d42d6154f5f98696a67097cc93dac027398d76,GPflow/sgpr.py,SGPR,build_predict,#SGPR#,73

Before Change

            var = tf.tile(tf.expand_dims(var, 2), tf.pack([1,1, tf.shape(self.Y)[1]]))
        else:
            var = self.kern.Kdiag(Xnew) + tf.reduce_sum(tf.square(tmp2), 0) - tf.reduce_sum(tf.square(tmp1), 0)
            var = tf.tile(tf.expand_dims(var, 1), tf.pack([1, tf.shape(self.Y)[1]]))
        return mean + self.mean_function(Xnew), var

After Change

            var = self.kern.Kdiag(Xnew) + tf.reduce_sum(tf.square(tmp2), 0)\
                - tf.reduce_sum(tf.square(tmp1), 0)
            shape = tf.pack([1, tf.shape(self.Y)[1]])
            var = tf.tile(tf.expand_dims(var, 1), shape)
        return mean + self.mean_function(Xnew), var

Instances