Hello,
Looking at the generated code I assume you are generating code for the deep learning network with "TargetLibrary = none" set in the coder configuration object. Currently, it is not possible to generate the weights in a separate file with "TargetLibrary = none" setting. In the upcoming release, we are going to provide an option that will generate the weights in a separate binary file. For now, if you want to generate the weights separately, you'll have to use a "TargetLibrary" other than "none", for example, "mkldnn/arm-compute" for CPU targets or "cudnn/tensorrt" for GPU targets. For these target libraries, the weights are always generated in a separate binary file. Here's the documentation page for how to generate code for "mkldnn" https://www.mathworks.com/help/coder/ug/code-generation-for-deep-learning-networks-with-mkl-dnn.html. Note that the entire process of generating code remains the same, except for setting the "DeepLearningConfig" on the coder configuration object.
Hope this helps,
Sayan
