b1e4cb19afc4f7ac47187303d0c2045b68932c4e,GPflow/kernels.py,Bias,K,#Bias#,70

Before Change

    
    def K(self, X, X2=None):
        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)

After Change

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

Instances