Configurations for Intel® Gaussian & Neural Accelerator (GNA) with OpenVINO™

Note

On platforms where Intel® GNA is not enabled in the BIOS, the driver cannot be installed, so the GNA plugin uses the software emulation mode only.

Drivers and Dependencies

Intel® GNA hardware requires a driver to be installed on the system.

Linux

Prerequisites

Ensure that make, gcc, and Linux kernel headers are installed.

Configuration steps

1. Download Intel® GNA driver for Ubuntu Linux 18.04.3 LTS (with HWE Kernel version 5.4+)

2. Run the sample_install.sh script provided in the installation package:

   prompt$ ./scripts/sample_install.sh
   

You can also build and install the driver manually by using the following commands:

prompt$ cd src/
prompt$ make
prompt$ sudo insmod intel_gna.ko

To unload the driver:

prompt$ sudo rmmod intel_gna

Windows

Intel® GNA driver for Windows is available through Windows Update.

What’s Next?

Now you are ready to try out OpenVINO™. You can use the following tutorials to write your applications using Python and C++.

Developing in Python:

• Start with tensorflow models with OpenVINO™

• Start with ONNX and PyTorch models with OpenVINO™

• Start with PaddlePaddle models with OpenVINO™

Developing in C++:

• Image Classification Async C++ Sample

• Hello Classification C++ Sample

• Hello Reshape SSD C++ Sample