ValueError: Shape must be rank 1 but is rank 0 for 'bn_conv1/cond/Reshape_4' (op: 'Reshape') with input shapes: [1,64,1,1], [].

运行demo报错

ValueError: Shape must be rank 1 but is rank 0 for 'bn_conv1/cond/Reshape_4' (op: 'Reshape') with input shapes: [1,64,1,1], [].

经过查阅,发现是BatchNormalization的问题,如下代码也会类似报错

from keras.layers import BatchNormalization, Input

 x = Input(shape=(1, 2, 2)) 

BatchNormalization(axis=1)(x)   

报错:InvalidArgumentError: Shape must be rank 1 but is rank 0 for 'batch_normalization_1/cond/Reshape_4' (op: 'Reshape') with input shapes: [1,1,1,1], [].

在CPU版的keras 2.2.0上没有问题,在gup版本的keras有问题。因此将keras 降低版本为2.1.2:

 pip3 uninstall keras

 pip3 install keras==2.1.2  -i http://pypi.douban.com/simple --trusted-host pypi.douban.com

ref:https://blog.csdn.net/weixin_40755306/article/details/84944008

 

posted @ 2019-08-27 18:20  Wind·Chaser  阅读(3876)  评论(0编辑  收藏  举报