From ff22b3e34c85e7a0737f4cac0600f037ccd5db03 Mon Sep 17 00:00:00 2001 From: Kainan Cha Date: Thu, 26 Aug 2021 16:33:33 +0800 Subject: [PATCH] Update README Signed-off-by: Kainan Cha --- README.md | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 74a5465..b7af6d6 100644 --- a/README.md +++ b/README.md @@ -1,13 +1,13 @@ -# 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 @@ -43,4 +43,5 @@ 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](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)