TIM-VX is a software integration module provided by VeriSilicon to facilitate deployment of Neural-Networks on Verisilicon ML accelerators. It serves as the backend binding for runtime frameworks such as Android NN, Tensorflow-Lite, MLIR, TVM and more.
Main Features
Feel free to raise a github issue if you wish to add TIM-VX for other frameworks.
TIM-VX supports both bazel and cmake. Install bazel 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
To build and run Tensorflow-Lite with TIM-VX, please see README
To build and run TVM with TIM-VX, please see TVM README
create issue on github or email to ML_Support@verisilicon.com
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