Tensorflow运行时错误调试

Question

How to debug a runtime error in Tensorflow?

I am new to tensorflow and would appreciate any help. I am executing a code and after executing the line sess.run() it throws an error. I am using Tensorflow 1.0 and python 3.5.2

Below is the snippet of error:

INFO:tensorflow:starting run_training
INFO:tensorflow:running training step...
F c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\tensor.h:582] Check failed: new_num_elements == NumElements() (160 vs. 81920)

I believe the error with values (160 vs. 81920) is due to some variable being initialized with 160 values and now 81920 values are passed to it. But I am not able to zero down on which exact tensor it is. There is now line number or any clue mentioned in the error.

Any help would be much appreciated.

Answer 1

Disclaimer: I dont have enough credit to post this as a comment

You better add the code in the question or the good people of this great community will devote you out of here.