Deep Learning Accelerator Programming Interface (nvm_dlaSample)

The NvMedia nvm_dlaSample sample application demonstrates how to use the NvMedia Deep Learning Accelerator (DLA) APIs to perform deep learning inference operations. The sample uses the NVIDIA® SoC DLA hardware engine.

For related information, see Deep Learning Accelerator in Understanding NvMedia.

The nvm_dlaSample application has four testing modes:

1. Runtime mode.
   • Single thread for running DLA.
   • Demonstrates how to create and initialize DLA instances.
   • Demonstrates how to run DLA with provided input data and network.
2. SciSync mode.
   • Single thread for running DLA. Two supporting threads for synchronization (signaler and waiter).
   • Demonstrates how to create and initialize DLA instances.
   • Demonstrates how to run DLA with provided input data and network.
   • Demonstrates how to synchronize DLA task submission with a CPU signaler and CPU waiter.
3. Multithreaded mode.
   • Multiple threads (4) for running DLA.
   • Demonstrates how to create and initialize DLA instances.
   • Demonstrates how to run DLA with provided input data and network.
4. Ping mode.
   • Pings the specified instance if it exists.