onnx-parser

ONNX-Parser is a C++ Inference Code Generator tool that takes an onnx binary model and generates OpenVX GDF code for quick prototyping and kernel debugging.

The details of various OpenVX Kernels generated are from vx_nn

Note: Currently only the float-32 tensor datatypes are supported. Special layers such as ROI Pooling Layer, Deconvolution are not yet supported.

Supported Models

Network Name	Supported
AlexNet	Yes
VGG-16	Yes
VGG-19
ResNet-50

Command-line interface

 % onnx_gdf_generator <net.pb> [n c H W]

Here net.pb is the onnx binary models which is a mandatory file. n,c,H,W refers to batch size, number of channels, height and width of an image which are optional parameters.

ONNX Binary models can be found here : models

Pre-requisites

1. Ubuntu 16.04
2. CMAKE 2.8 or newer download
3. Install the protobuf from C++ install instructions.

Build Instructions

1. After cloning the repository, create a build folder where the executables has to be present.
2. cmake -DCMAKE_BUILD_TYPE=Release ../onnx-parser
3. make

Now, the executables are built and present in the build folder.