InvalidArgumentError (see above for traceback): Cannot assign a device for operation ‘gradients/aux_loss/xentropy_grad/LogSoftmax’: Could not satisfy explicit device specification ‘/device0’ because no supported kernel for GPU devices is **ailable.
[[Node: gradients/aux_loss/xentropy_grad/LogSoftmax = LogSoftmaxT=DT_FLOAT, _device=”/device0”]]

 遇到这个问题，不知道怎么解决

在学习chapter_3 运行train_image_classifier.py时出现：
InvalidArgumentError (see above for traceback): Cannot assign a device for operation ‘gradients/aux_loss/xentropy_grad/LogSoftmax’: Could not satisfy explicit device specification ‘/device0’ because no supported kernel for GPU devices is **ailable.
Registered kernels:
device=’CPU’; T in [DT_HALF]
device=’CPU’; T in [DT_FLOAT]
device=’CPU’; T in [DT_DOUBLE]

 [[Node: gradients/aux_loss/xentropy_grad/LogSoftmax = LogSoftmax[T=DT_FLOAT, _device="/device:GPU:0"](aux_loss/xentropy/Reshape)]]

我已经安装了CUDA,CUDNN,tf-gpu了，简单测试也可以运行
import tensorflow as tf

hi=tf.constant(‘hello’)
with tf.Session() as sess:
print(sess.run(hi))
但按照书中的代码提示如上，怎么解决啊。。。

第三章运行python data_convert.py -t pic/ \出错怎么解决？
data_convert.py: error: unrecognized arguments: \

第15章的时间序列的训练程序运行会出现Integer parameter eexcepted so float 的错误，要怎么办

第七章预训练模型没有啊，下载里面也没有，是我没找到吗，求解