第九章中 监控可视化代码运行报错。版本1.2.0

[chnhaoqiu]

Extracting /MNIST_data\train-images-idx3-ubyte.gz Extracting /MNIST_data\train-labels-idx1-ubyte.gz Extracting /MNIST_data\t10k-images-idx3-ubyte.gz Extracting /MNIST_data\t10k-labels-idx1-ubyte.gz

ValueError Traceback (most recent call last)

in () 1 if __name__ == '__main__': ----> 2 main() in main() 18 19 with tf.name_scope('train'): ---> 20 train_step = tf.train.AdamOptimizer(0.001).minimize(cross_entropy) 21 22 with tf.name_scope('accuracy'): D:\Anaconda3\envs\tensorflow\lib\site-packages\tensorflow\python\training\optimizer.py in minimize(self, loss, global_step, var_list, gate_gradients, aggregation_method, colocate_gradients_with_ops, name, grad_loss) 320 "No gradients provided for any variable, check your graph for ops" 321 " that do not support gradients, between variables %s and loss %s." % --> 322 ([str(v) for _, v in grads_and_vars], loss)) 323 324 return self.apply_gradients(grads_and_vars, global_step=global_step, ValueError: No gradients provided for any variable, check your graph for ops that do not support gradients, between variables ["", "", "", "", "", "", "", "", "", "", "", ""] and loss Tensor("cross_entropy_2/Mean:0", shape=(), dtype=float32).

[perhapszzy]

目前我们暂时没有提供1.2的代码，你可以换到1.0下试试

[chnhaoqiu]

好的，谢谢，无以为0.12文件中的代码是1.2版本的。。。