tensorflow问题总结

目录

1、tensorflow python framework erros invalidArgmentError:connot batch tensors with different shapes in componet 0. First element had shape [227,227,3] and element 19 had shape [227,227,4]

2、incompatible type conversion requested to type 'uint8' for variable of type 'float32'

3、invalid literal for int() with base 10:

4、image.resize_images()#返回float

5、runtimeerror: Invalid DISPLAY variable

6、无法显示图片可以保存图片：

7、feed数据的时候不可以读进去tensor类型

8、a = sess.run(one_element[0])

9、不可以用两个one_element

10、Rank mismatch: Rank of labels(received 2) should equal rank of logits minus 1(recevied 2)

11、Y = tf.placeholder(tf.float32, [None])

12、Img.resize(227,227)提示unknown resampling filter

13、Tensorflow使用变量出现错误： List of Tensors when single Tensor expected

14、Tensorflow出错：Exception in QueueRunner: Enqueue operation was cancelled

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在进行tensorflow学习的时候遇到各种各样的问题，为了不在同一个坑中踩多次，将问题总结一下。

1、tensorflow python framework erros invalidArgmentError:connot batch tensors with different shapes in componet 0. First element had shape [227,227,3] and element 19 had shape [227,227,4]

 

记得检查数据通道： convert('RGB')

 

2、incompatible type conversion requested to type 'uint8' for variable of type 'float32'

 

读进Conv2D的数据应该是float

 

3、invalid literal for int() with base 10:

 

txt文件下行千万不要有空格

 

4、image.resize_images()#返回float

     image.resize_images_with_crop_or_pad()#返回unit8

 

5、runtimeerror: Invalid DISPLAY variable

 

１．问题：在本地用matplotlib绘图可以，但是在ssh远程绘图的时候会报错　RuntimeError: Invalid DISPLAY variable

２．原因：matplotlib的默认backend是TkAgg，而FltkAgg, GTK, GTKAgg, GTKCairo, TkAgg , Wx or WxAgg这几个backend都要求有GUI图形界面的，所以在ssh操作的时候会报错．