Closed yingwei13mei closed 5 years ago
I'm not sure if I completely understand what you mean. No mather what languages(Python or C++) you use for TensorFlow, the model file is an protobuf file and we need to use saved_model_builder()
to set the model signature. Then you can use this model file in Python, C++ or any other languages which can read TensorFlow SavedModel file.
If I want to deploy module on different-platform. For example I trained the module in python -Tensorflow enviroment. But I expect to use this module file in C++ windows env. I reference some views on TF Serving saved_model_builder() function, it seems like a workable solution. And how could it easily transfer module in different platform within current solution?
Just some thinking about current project.