# TIM-VX

**Repository Path**: moozh_1/TIM-VX

## Basic Information

- **Project Name**: TIM-VX
- **Description**: Tim-Vx mirror
- **Primary Language**: C++
- **License**: MIT
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-10-11
- **Last Updated**: 2024-06-01

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README



# TIM-VX - Tensor Interface Module
![VSim.X86.UnitTest](https://github.com/VeriSilicon/TIM-VX/actions/workflows/x86_vsim_unit_test.yml/badge.svg)

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
 - Over [150 operators](https://github.com/VeriSilicon/TIM-VX/blob/main/src/tim/vx/ops/README.md) with rich format support for both quantized and floating point
 - Simplified C++ binding API calls to create Tensors and Operations [Guide](https://github.com/VeriSilicon/TIM-VX/blob/main/docs/Programming_Guide.md)
 - Dynamic graph construction with support for shape inference and layout inference
 - Built-in custom layer extensions
 - A set of utility functions for debugging

## Framework Support

- [Tensorflow-Lite](https://github.com/VeriSilicon/tflite-vx-delegate) (External Delegate)
- [Tengine](https://github.com/OAID/Tengine) (Official)
- [TVM](https://github.com/VeriSilicon/tvm) (Fork)
- MLIR Dialect (In development)

Feel free to raise a github issue if you wish to add TIM-VX for other frameworks.

## Get started

### Build and Run
TIM-VX supports both [bazel](https://bazel.build) and cmake. [Install bazel](https://docs.bazel.build/versions/master/install.html) 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
```shell
bazel build libtim-vx.so
```

To run sample LeNet
```shell
# 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](https://github.com/VeriSilicon/tflite-vx-delegate#readme)

To build and run TVM with TIM-VX, please see [TVM README](https://github.com/VeriSilicon/tvm/blob/vsi_npu/README.VSI.md)

# Support
create issue on github or email to ML_Support@verisilicon.com