colin
/
TIM-VX
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Update README 

Signed-off-by: Kainan Cha <kainan.zha@verisilicon.com>
This commit is contained in:
Kainan Cha 2021-08-03 12:27:09 +08:00
parent 6a949bb315
commit c294c78779
1 changed files with 6 additions and 15 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

21
README.md
View File

@ -14,19 +14,17 @@ Main Features
## Framework Support
- [Tensorflow-Lite Delegate](https://github.com/VeriSilicon/tensorflow/tree/vx-delegate.v2.4.1) (Unofficial)
- [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)
- TVM (In development)
## Roadmap
Roadmap of TIM-VX will be updated here in the future.
Feel free to raise a github issue if you wish to add TIM-VX for other frameworks.
## Get started
### Build and Run
TIM-VX uses [bazel](https://bazel.build) build system by default. [Install bazel](https://docs.bazel.build/versions/master/install.html) first to get started.
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.
@ -44,12 +42,5 @@ bazel build //samples/lenet:lenet_asymu8_cc
bazel run //samples/lenet:lenet_asymu8_cc
```
To build and run Tensorflow-Lite delegate on A311D platform
```shell
# clone and cross build VeriSilicon tensorflow fork with TFlite delegate support
git clone --single-branch --branch vx-delegate.v2.4.1 git@github.com:VeriSilicon/tensorflow.git vx-delegate; cd vx-delegate
bazel build --config A311D //tensorflow/lite/tools/benchmark:benchmark_model
# push benchmark_model onto device and run
./benchmark_model --graph=mobilenet_v1_1.0_224_quant.tflite --use_vxdelegate=true
```
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)