tensorflow.python.framework.tensor

TensorShape 是tensorflow中关于张量shape的类（class）.

使用示例如下：

import tensorflow.compat.v1 as tf
from tensorflow.python.framework import tensor_shape
from tensorflow.python.framework import constant_optensor_test1=[10,10,10]
tensor_test2 = [None,10,10]p1 = tensor_shape.as_shape(tensor_test1) # 得到的是一个类实例，该类实例包含一个属性，是 tensor_test1 的value
const = constant_op.constant(p1.as_list())print("type(p1) = ",type(p1))
print("p1 = ",p1) # 使用p1时会自动调用p1中的value属性
print("p1.is_fully_defined() = ",p1.is_fully_defined())# is_fully_defined 是 TensorShape 类的一个内部函数
print("p1.ndims = ",p1.ndims) # ndims 也是TensorShape的一个属性值
print("p1.as_list() = ",p1.as_list()) # 把TensorShape的value属性转换成python中的list类型
print("const = ",const)

结果如下：

type(p1) =  <class 'tensorflow.python.framework.tensor_shape.TensorShape'>
p1 =  (10, 10, 10)
p1.is_fully_defined() =  True
p1.ndims =  3
p1.as_list() =  [10, 10, 10]
const =  Tensor("Const:0", shape=(3,), dtype=int32)

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