519d0c4fb8a337da86861fe46135d58085e88b89,gpflow/transforms.py,Rescale,tf_log_jacobian,#Rescale#Any#,245

Before Change

        return self.chain_transform.backward(y) / self.factor

    def tf_log_jacobian(self, x):
        return tf.cast(tf.reduce_prod(tf.shape(x)), float_type) * \
                self.factor * self.chain_transform.tf_log_jacobian(x * self.factor)

    def __str__(self):
        return "R" + self.chain_transform.__str__()

After Change

        return self.chain_transform.backward(y) / self.factor

    def tf_log_jacobian(self, x):
        N = tf.reduce_prod(tf.shape(x))
        return tf.cast(N, float_type) * tf.log(tf.cast(self.factor, float_type)) + \
                self.chain_transform.tf_log_jacobian(x * self.factor)

    def __str__(self):
        return "R" + self.chain_transform.__str__()

Instances