报错AttributeError: ‘Tensor‘ object has no attribute ‘numpy‘

ゝ一纸荒年。 2023-07-05 13:20 2阅读 0赞

# ![20191009191333910.png][] #

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[人工智能AI：Keras PyTorch MXNet TensorFlow PaddlePaddle 深度学习实战（不定时更新）][AI_Keras PyTorch MXNet TensorFlow PaddlePaddle]

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报错AttributeError: 'Tensor' object has no attribute 'numpy'
    解决：tf.enable_eager_execution()
    拓展：获取tensor类型的变量值
    
    方法一：在会话中print( sess.run(x) )
    	import tensorflow as tf
    	#定义tensor常量
    	x = tf.random_uniform((2, 3), -1, 1)
    	#开启会话
    	with tf.Session() as sess:
    	    print (sess.run(x))
    	#[[ 0.46468353 -0.61598516 -0.9036629 ]
    	# [ 0.68292856  0.65335464  0.00641084]]
    	
    方法二：使用.eval()相当于将tensor类数据转为numpy，再输出
    	import tensorflow as tf
    	#定义tensor常量
    	x = tf.random_uniform((2, 2), -1, 1)
    	#开启会话
    	with tf.Session() as sess:
    		print (x.eval())
    	#[[-0.8492842   0.50390124]
             # [-0.9012234   0.77892494]]
    
    方法三：
        开启紧急执行
        tf.enable_eager_execution()
    
    方法四：
        tensor类型变量.numpy()

[20191009191333910.png]: https://img-blog.csdnimg.cn/20191009191333910.png
[Link 1]: http://www.rimengshe.com/
[AI_Keras PyTorch MXNet TensorFlow PaddlePaddle]: https://blog.csdn.net/zimiao552147572/article/details/88867161