Tensorflow can find right cudnn in one python file but fail in another

问题

I am trying to use tensorflow gpu version to train and test my deep learning model. But here comes the problem. When I train my model in one python file things go on well. Tensorflow-gpu can be used properly. Then I save my model as a pretrained on as grapg.pb format and try to reuse it in another python file.

Then I got the following error messages.

E tensorflow/stream_executor/cuda/cuda_dnn.cc:363] Loaded runtime CuDNN 
library: 7.1.4 but source was compiled with: 7.2.1.  CuDNN library major 
and minor version needs to match or have higher minor version in case of 
CuDNN 7.0 or later version. If using a binary install, upgrade your CuDNN 
library.  If building from sources, make sure the library loaded at runtime 
is compatible with the version specified during compile configuration.

I checked my cudnn version, in fact it is version 7.4.2. I also checked my environment path settings /cuda/v9.0/bin, cuda/v9.0/lib/x64, /cuda/v9.0/include are in there.

So why this happens? And how can I solve this?

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cuda:v9.0 cudnn:7.4.2 (I think, I copy those cudnn files manually) windows 10 python: 3.5

来源：https://stackoverflow.com/questions/53976618/tensorflow-can-find-right-cudnn-in-one-python-file-but-fail-in-another