输出数组形状
链接: link.
a=np.array([[1,2,3],[4,5,6]],dtype=np.float)
print(a.shape);
输出列表形状
a=[1,2,3]
a=np.array(a)
print(a.shape);
输出元组形状
a=('a','b','c')
a=list(a)
print(a.shape);
输出张量形状
d=tf.constant([[1,2,3],[4,5,6]])
print(d)
输出张量值
d=tf.constant([[1,2,3],[4,5,6]])
with tf.Session() as sess:
print(d.eval())