分类：tensor.shape

2020
10-08

基于tf.shape(tensor)和tensor.shape()的区别说明

#tf.shape(tensor)和tensor.shape()的区别a=tf.zeros([4,5,4,5,6])print(type(a.shape))print(a.shape.ndims)#多少个维度print(a.shape.as_list())#返回列表print(type(tf.shape(a)))print(type(tf.shape(a)[0]))b=a.shape.as_list()c=tf.shape(a)b[1]=tf.shape(a)[1]print(b)sess=tf.Session()d=sess.run(c)print(d)outputs:<class'tensorflow.python.framework.tensor_shape.TensorShape'>5[4,5,4,5,6]<class'tensorflow.p... 继续阅读 >