如下所示：
def softmax(logits, axis=None, name=None, dim=None):
"""Computes softmax activations.
This function performs the equivalent of
softmax = tf.exp(logits) / tf.reduce_sum(tf.exp(logits), axis)
Args:
logits: A non-empty `Tensor`. Must be one
这篇文章主要介绍了Python Numpy数组扩展repeat和tile使用实例解析,文中通过示例代码介绍的非常详细，对大家的学习或者工作具有一定的参考学习价值,需要的朋友可以参考下
numpy.repeat
官方文档
numpy.repeat(a, repeats, axis=None)
Repeat elements of an array.
可以看出repeat函数是操作数组中的每一个元素，进行元素的复制。
例如：
>>> a = np.arange(3)
&g
Excitation electromagnetic field on central axis in the helical system is analysed. It is shown that in the bifllar winding heliz of the same direction (phase difference) at opposite current excitation, its electromagnetic field of the central axis i
