Inception V3 retrained model incorrect predictions after using optimize_for_inference and graph_transform tools

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Ladies and Gents, I have model generated using the tensorflow for poets tutorial. I have both binary and 3-class models that are exhibiting the same behavior.

The model performs as expected prior to transformation. Predicts well with up to 90 % accuracy. but soon as I transform that to be used with opencv dnn module, the predictions are way off, usually favoring one class over others.

I used the transforms described here: http://answers.opencv.org/question/17...

and here https://www.tensorflow.org/mobile/pre...

I'm wondering what the cause could be and how to maintain the inference performance when deploying the graph. Thank you.