未验证 提交 1ad936f8 编写于 作者: 葛亚芳 提交者: Gitee

update en/application-dev/napi/neural-network-runtime-guidelines.md.

Signed-off-by: N葛亚芳 <geyafang@huawei.com>
上级 fdf693fd
......@@ -19,12 +19,12 @@ The environment requirements for the Neural Network Runtime are as follows:
- Development environment: Ubuntu 18.04 or later.
- Access device: a standard device running OpenHarmony. The built-in hardware accelerator driver has been connected to the Neural Network Runtime through an HDI API.
The Neural Network Runtime is opened to external systems through OpenHarmony Native APIs. Therefore, you need to use the Native development suite of the OpenHarmony to compile Neural Network Runtime applications. You can download the **ohos-sdk** package of the corresponding version from [Daily Build](http://ci.openharmony.cn/dailys/dailybuilds) in the OpenHarmony community and then decompress the package to obtain the Native development suite of the corresponding platform. Take Linux as an example. The package of the Native development suite is named `native-linux-{version number}.zip`.
The Neural Network Runtime is opened to external systems through OpenHarmony Native APIs. Therefore, you need to use the Native development suite of the OpenHarmony to compile Neural Network Runtime applications.
### Environment Setup
1. Start the Ubuntu server.
2. Copy the downloaded package of the Native development suite to the root directory of the current user.
2. Copy the package of the Native development suite to the root directory of the current user.
3. Decompress the package of the Native development suite.
```shell
unzip native-linux-{version number}.zip
......@@ -484,8 +484,3 @@ The development process of the Neural Network Runtime consists of three phases:
rm /data/local/tmp/*nncache
```
## Samples
The following sample is provided to help you understand how to connect a third-party AI inference framework to the Neural Network Runtime:
- [Development Guide for Connecting TensorFlow Lite to NNRt Delegate](https://gitee.com/openharmony/neural_network_runtime/tree/master/example/deep_learning_framework)
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