Code Generation

After training and evaluating a model, the subsequent step is code generation. This involves converting the assessed model into executable code, which can be further optimized and deployed on edge devices. By generating the code, the logic and functionality of the model are precisely captured, facilitating the next phases of development.

You can generate optimized code for a number of different targets. We also provide generic code generation which can run on any target hardware. Refer to the topics listed to learn how to generate code:

Additionally, you can also optimize and generate code using Graph UX, to know more refer to Code Generation using Graph UX.