Hi,
I am testing the sample code linked below about using Metal to perform inference on tensorflow trained network Inception v3.
https://developer.apple.com/library/content/samplecode/MetalImageRecognition/Introduction/Intro.html
It's very interesting because on my tests inference using Metal outperforms 5x inference on the same network using tensorflow library on the same device.
In the brief documentation that you provide you say "we are using trained parameters (weights and bias) we have fetched from, pre-trained and saved network on TensorFlow"
However I can't understand how you create the batch normalized binary dat files.
Could you please explain how to create these binary files, so that we can adapt the example to our network?
Thank you for your time,
Giovanni