@hotg-ai/react-native-runevm
v0.1.3
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Rune runtime
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react-native-runevm
Run Rune container in React Native (iOS & Android)
Getting started
$ npm install @hotg-ai/react-native-runevm --save
Mostly automatic installation
$ react-native link @hotg-ai/react-native-runevm
Usage
Since RN does not support transferring TypedArrays to native, data is transferred in base64 over the RN-bridge. We recommend using 'react-native-base64' package for this:
$ npm install react-native-base64 --save
import Runevm, { TensorType } from '@hotg-ai/react-native-runevm';
import base64 from 'react-native-base64';
//init the Rune
const b64encoded = base64.encodeFromByteArray(runeBytes); //bytes is a Uint8Array containing the rune
let message = await Runevm.loadWasm(b64encoded, (message) => {
//json formatted manifest file
console.log(message);
});
//add input before running inference (eg image data)
const b64encoded = base64.encodeFromByteArray(inputBytes);
await Runevm.addInput(1, b64encoded, [width, width, 3], TensorType.U8, (response) => {
console.log(response);
});
//Run model
await Runevm.runRune((message) => {
this.setState(() => {
return { message: message };
});
});
//Retrieve logs of inference
await Runevm.getRuneLogs((logs) => {
console.log(logs);
});
A working example can be found here: example/App.js