Tensorflow获取张量Tensor的具体维数实例

获取tensor的维数

>>> 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,shape=[1,2,3,4])

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

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

# 获取具体维度数值
>>> x.shape[2].value
3
>>> x.get_shape()[2].value
3
# 也可以将tensorshape变量转化为list类型，然后直接按照索引取值
>>> x.shape.as_list()
[1, 2, 3, 4]
>>> x.shape.as_list()
[1, 2, 3, 4]

# 可以与int型数值比较
>>> x.shape[2] == 3
true
>>> x.get_shape()[2] == 3
true

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