tensorflow2.0 基础一 常用数据类型及转换

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                                        <p></p><div class="toc"><h3><a name="t0"></a>目录</h3><ul><li><a href="#Tensor__2" rel="nofollow" target="_self">Tensor 是什么</a></li><ul><li><a href="#TF_11" rel="nofollow" target="_self">TF数据类型</a></li><li><a href="#Create_Tensor_16" rel="nofollow" target="_self">Create Tensor</a></li><li><a href="#Tensor_Property_37" rel="nofollow" target="_self">Tensor Property</a></li><li><a href="#Check_Tensor_Type_40" rel="nofollow" target="_self">Check Tensor Type</a></li><li><a href="#Convert__43" rel="nofollow" target="_self">Convert 转换</a></li><li><a href="#bool_int_46" rel="nofollow" target="_self">bool int</a></li><li><a href="#tfVariable_49" rel="nofollow" target="_self">tf.Variable</a></li><li><a href="#To_numpy_53" rel="nofollow" target="_self">To numpy</a></li></ul></ul></div><p></p>

Tensor 是什么

scalar: 1.1
vector: [1.1],[1.1,2.2,...]
matrix: [[1.1,2.2],[3.3,4.4],[5.5,6.6]]
tensor: rank > 2

 

 
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以上都可以叫做tensor

TF数据类型

• int, float, double
• bool
• string

Create Tensor

In[3]: tf.constant(1)
Out[3]: <tf.Tensor: id=0, shape=(), dtype=int32, numpy=1>

In[4]: tf.constant(1.)
Out[4]: <tf.Tensor: id=6, shape=(), dtype=float32, numpy=1.0>

In[5]: tf.constant(2.2,dtype=tf.int32)
Out[5]: TypeError: Cannot convert provided value to EagerTensor. Provided value: 2.2 Requested dtype: int32

In[6]: tf.constant(2., dtype=tf.double)
Out[6]: <tf.Tensor: id=25, shape=(), dtype=float64, numpy=2.0>

In[7]: tf.constant([True,False])
Out[7]: <tf.Tensor: id=39, shape=(2,), dtype=bool, numpy=array([ True, False])>

In[8]: tf.constant(‘hello, world.’)
Out[8]: <tf.Tensor: id=56, shape=(), dtype=string, numpy=b’hello, world.’>

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Tensor Property

Check Tensor Type

Convert 转换

bool int

tf.Variable

特别注意tf.Variable 通过isinstance判断是否为tensor会返回False，所以尽量使用tf.is_tensor。

To numpy

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