TIM-VX - Tensor Interface Module for OpenVX

TIM-VX is a software integration module provided by VeriSilicon to facilitate deployment of Neural-Networks on OpenVX enabled ML accelerators. It serves as the backend binding for runtime frameworks such as Android NN, Tensorflow-Lite, MLIR, TVM and more.

Main Features

• Over 130 internal operators with rich format support for both quantized and floating point
• Simplified binding API calls to create Tensors and Operations
• Dynamic graph construction and supports shape inferencing
• Built-in custom layer extensions
• A set of utility functions for debugging

Roadmap

Roadmap of TIM-VX will be updated here in the future.

Get started

Build and Run

TIM-VX uses bazel build system by default. Install bazel first to get started.

TIM-VX needs to be compiled and linked against VeriSilicon OpenVX SDK which provides related header files and pre-compiled libraries. A default linux-x86_64 SDK is provided which contains the simulation environment on PC. Platform specific SDKs can be obtained from respective SoC vendors.

To build TIM-VX

bazel build libtim-vx.so

To run sample LeNet

# set VIVANTE_SDK_DIR for runtime compilation environment
export VIVANTE_SDK_DIR=`pwd`/prebuilt-sdk/x86_64_linux

bazel build //samples/lenet:lenet_asymu8_cc
bazel run //samples/lenet:lenet_asymu8_cc

Get familiar with OpenVX spec

To development for TIM-VX, you first need to get familiar with OpenVX API and OpenVX NN Extension API. Please head over to Khronos to read the spec.