numpy给举证添加元素，合并矩阵，tensor转为numpy

添加一个元素

import numpy as np
a=np.append(a,b)

合并矩阵a,b

import numpy as np
a=[[1,2,3,4]]
print('a is :\n',a)
b=[[4,3,2,1]]
print('b is:\n',b)
c=np.hstack((a,b))#行叠加
print('c=np.hstack((a,b)):\n',c)
d=np.vstack((a,b))
print('d=np.vstack',d)

有时候，tensor不宜与操作，将tensor转为numpy量

import tensoflow as tf
import numpy as np
tensor=tf.constant([1,2,3],dtype=tf.float32)
sess=tf.Session()
#将tensor转为numpy
numpy_val=tensor.eval(session=sess)
print("the type of numpy_val",type(numpy_eval)