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Update README with framework support 

Signed-off-by: Kainan Cha <kainan.cha@verisilicon.com>
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Kainan Cha 2021-02-25 17:18:12 +08:00
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README.md
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@ -9,6 +9,13 @@ Main Features
- Built-in custom layer extensions - Built-in custom layer extensions
- A set of utility functions for debugging - A set of utility functions for debugging
## Framework Support
[Tensorflow-Lite Delegate](https://github.com/VeriSilicon/tensorflow/tree/dev/vx-delegate) (Unofficial)
[OAID Tegine](https://github.com/OAID/Tengine) (Official)
MLIR Dialect (In development)
TVM (In development)
## Roadmap ## Roadmap
Roadmap of TIM-VX will be updated here in the future. Roadmap of TIM-VX will be updated here in the future.
@ -34,6 +41,12 @@ bazel build //samples/lenet:lenet_asymu8_cc
bazel run //samples/lenet:lenet_asymu8_cc bazel run //samples/lenet:lenet_asymu8_cc
``` ```
### Get familiar with OpenVX spec To build and run Tensorflow-Lite delegate on A311D platform
To development for TIM-VX, you first need to get familiar with [OpenVX API](https://www.khronos.org/openvx/) and [OpenVX NN Extension API](https://www.khronos.org/registry/vx). Please head over to [Khronos](https://www.khronos.org/) to read the spec. ```shell
# clone and cross build VeriSilicon tensorflow fork with TFlite delegate support
git clone --single-branch --branch dev/vx-delegate 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
```