How to deploy matlab deep learning models to Texas Instruments?

As far as I know, matlab deep learning models can be deployed to FPGAs and SoCs (Deep Learning HDL Toolbox), NVIDIA™ family of devices (GPU Coder Toolbox), but can they be deployed to some Texas Instruments, such as C2000? If so, where can I see some typical deployment examples? Thanks!

Answer 1

[Kiran Kintali]

DL code generated for library-free “none” target should be deployable on TI C2000.

https://www.mathworks.com/videos/generate-generic-c-c-code-for-deep-learning-networks-in-simulink-1622706081351.html

Generate Generic C/C++ Code for Deep Learning Networks in Simulink

As of R2021a, you can use Simulink Coder and Embedded Coder to generate generic ANSI/ISO-compliant C and C++ code, free from dependence on third-party deep learning libraries, for Simulink models containing deep learning networks. Incorporate convolutional and recurrent neural networks into Simulink with blocks from the Deep Learning Toolbox, including the Stateful Predict and Stateful Classify blocks. Apply pre- and post-processing to time-series data for use within Simulink models.

[cui,xingxing]

Is there a matlab coder and embedder coder deployment example specifically for TI TDA4vm's soc embedded devices?