41fa0902ddf895045b0a109852d9b2f724e1d808,GPflow/kernels.py,Bias,K,#Bias#Any#Any#,58

Before Change

        if X2 is None:
            return self.variance * tf.ones((X.shape[0], X.shape[0]), tf.float64)
        else:
            return self.variance * tf.ones((X.shape[0], X2.shape[0]), tf.float64)


class Stationary(Kern):

After Change

        if X2 is None:
            return self.variance * tf.ones(tf.pack([tf.shape(X)[0], tf.shape(X)[0]]), tf.float64)
        else:
            return self.variance * tf.ones(tf.pack([tf.shape(X)[0], tf.shape(X2)[0]]), tf.float64)


class Stationary(Kern):

Instances