獲取Tensor的維數

>>> import tensorflow as tf

>>> tf.__version__
'1.2.0-rc1'

>>> x=tf.placeholder(dtype=float32,shape=[1,2,3,4])
>>> x=tf.placeholder(dtype=tf.float32,4])

>>> x.shape
TensorShape([Dimension(1),Dimension(2),Dimension(3),Dimension(4)])
>>> x.get_shape()
TensorShape([Dimension(1),Dimension(4)])
# 返回tuple

>>> x.shape[2]
Dimension(3)
>>> x.get_shape()[2]
Dimension(3)

# 獲取具體維度數值
>>> x.shape[2].value
3
>>> x.get_shape()[2].value
3
# 也可以將TensorShape變數轉化為list型別，然後直接按照索引取值
>>> x.shape.as_list()
[1,4]
>>> x.shape.as_list()
[1,4]

# 可以與int型數值比較
>>> x.shape[2] == 3
True
>>> x.get_shape()[2] == 3
True

以上這篇Tensorflow獲取張量Tensor的具體維數例項就是小編分享給大家的全部內容了，希望能給大家一個參考，也希望大家多多支援我們。