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Update README 

Signed-off-by: Kainan Cha <kainan.zha@verisilicon.com>
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Kainan Cha 2021-08-26 16:33:33 +08:00
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README.md
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# TIM-VX - Tensor Interface Module for OpenVX
# 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 OpenVX enabled ML accelerators. It serves as the backend binding for runtime frameworks such as Android NN, Tensorflow-Lite, MLIR, TVM and more.
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 [130 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
- 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
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```
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](https://github.com/VeriSilicon/tvm)
To build and run TVM with TIM-VX, please see [TVM README](https://github.com/VeriSilicon/tvm/blob/vsi_npu/README.VSI.md)