训练Inceptionv3遇到的坑

InvalidArgumentError (see above for traceback): Cannot assign a device for operation ‘gradients/aux_loss/xentropy_grad/LogSoftmax’: Could not satisfy explicit device specification ‘/device:GPU:0’ because no supported kernel for GPU devices is available.

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 = LogSoftmaxT=DT_FLOAT, _device="/device:GPU:0"]]

解决办法：

在train_image_classifier中加入一句：

config = tf.ConfigProto(allow_soft_placement = True)

然后在最后的定义中：

slim.learning.train(

train_tensor,

......

session_config = config

)

加粗的这句话即可

原文：https://blog.csdn.net/qq_29417013/article/details/80992205