, numpy=2.0>
tf.sqrt(tf.reduce_sum(tf.square(a)))
tf.sqrt(tf.reduce_sum(tf.square(a)))
tf.norm(b, ord=1)
# 列为整体
tf.norm...(b, ord=1, axis=0)
<tf.Tensor: id=66, shape=(2,), dtype=float32, numpy=array([2., 2.], dtype=float32)...=(4,), dtype=float32, numpy=array([-0.48791748, 0.25639585, 0.07420422, -0.02488617], dtype=float32