TensorFlow 2.0:テンソルの合併と分割例


**
一tf.co ncat()関数C結合
**

In [2]: a = tf.ones([4,35,8])                          

In [3]: b = tf.ones([2,35,8])                          

In [4]: c = tf.concat([a,b],axis=0)                       

In [5]: c.shape                                 
Out[5]: TensorShape([6, 35, 8])

In [6]: a = tf.ones([4,32,8])                          

In [7]: b = tf.ones([4,3,8])                          

In [8]: c = tf.concat([a,b],axis=1)                       

In [9]: c.shape                                 
Out[9]: TensorShape([4, 35, 8])
**
二tf.stack()関数Cデータの積み重ねにより、新しい次元が作成されます。
**

In [2]: a = tf.ones([4,35,8])                          

In [3]: a.shape                                 
Out[3]: TensorShape([4, 35, 8])

In [4]: b = tf.ones([4,35,8])                          

In [5]: b.shape                                 
Out[5]: TensorShape([4, 35, 8])

In [6]: tf.concat([a,b],axis=-1).shape                     
Out[6]: TensorShape([4, 35, 16])

In [7]: tf.stack([a,b],axis=0).shape                      
Out[7]: TensorShape([2, 4, 35, 8])

In [8]: tf.stack([a,b],axis=3).shape                      
Out[8]: TensorShape([4, 35, 8, 2])
**
三tf.unstack()関数C解スタック
**

In [16]: a = tf.ones([4,35,8])                                                                                       

In [17]: b = tf.ones([4,35,8])                                                                                       

In [18]: c = tf.stack([a,b],axis=0)                                                                                     

In [19]: a.shape,b.shape,c.shape                                                                                      
Out[19]: (TensorShape([4, 35, 8]), TensorShape([4, 35, 8]), TensorShape([2, 4, 35, 8]))

In [20]: aa,bb = tf.unstack(c,axis=0)                                                                                    

In [21]: aa.shape,bb.shape                                                                                         
Out[21]: (TensorShape([4, 35, 8]), TensorShape([4, 35, 8]))

In [22]: res = tf.unstack(c,axis=1)                                                                                     

In [23]: len(res)                                                                                              
Out[23]: 4
**
四tf.split()関数
**

In [16]: a = tf.ones([4,35,8])                                                                                       

In [17]: b = tf.ones([4,35,8])                                                                                       

In [18]: c = tf.stack([a,b],axis=0)                                                                                     

In [19]: a.shape,b.shape,c.shape                                                                                      
Out[19]: (TensorShape([4, 35, 8]), TensorShape([4, 35, 8]), TensorShape([2, 4, 35, 8]))

In [20]: aa,bb = tf.unstack(c,axis=0)                                                                                    

In [21]: aa.shape,bb.shape                                                                                         
Out[21]: (TensorShape([4, 35, 8]), TensorShape([4, 35, 8]))

In [22]: res = tf.unstack(c,axis=1)                                                                                     

In [23]: len(res)                                                                                              
Out[23]: 4
以上のTensorFlow 2.0:テンソルの合併と分割例は小編集が皆さんに共有した内容の全部です。参考にしていただければと思います。よろしくお願いします。