human/src/tfjs/humangl.ts

131 lines
4.0 KiB
TypeScript

/**
* Custom TFJS backend for Human based on WebGL
* Not used by default
*/
import { log } from '../helpers';
import * as tf from '../../dist/tfjs.esm.js';
import * as image from '../image/image';
import * as models from '../models';
// import { env } from '../env';
export const config = {
name: 'humangl',
priority: 999,
canvas: <null | OffscreenCanvas | HTMLCanvasElement>null,
gl: <null | WebGL2RenderingContext>null,
extensions: <string[]> [],
webGLattr: { // https://www.khronos.org/registry/webgl/specs/latest/1.0/#5.2
alpha: false,
antialias: false,
premultipliedAlpha: false,
preserveDrawingBuffer: false,
depth: false,
stencil: false,
failIfMajorPerformanceCaveat: false,
desynchronized: true,
},
};
function extensions(): void {
/*
https://www.khronos.org/registry/webgl/extensions/
https://webglreport.com/?v=2
*/
const gl = config.gl;
if (!gl) return;
config.extensions = gl.getSupportedExtensions() as string[];
// gl.getExtension('KHR_parallel_shader_compile');
}
/**
* Registers custom WebGL2 backend to be used by Human library
*
* @returns void
*/
export async function register(instance): Promise<void> {
// force backend reload if gl context is not valid
if ((config.name in tf.engine().registry) && (!config.gl || !config.gl.getParameter(config.gl.VERSION))) {
log('error: humangl backend invalid context');
models.reset(instance);
/*
log('resetting humangl backend');
await tf.removeBackend(config.name);
await register(instance); // re-register
*/
}
if (!tf.findBackend(config.name)) {
try {
config.canvas = await image.canvas(100, 100);
} catch (err) {
log('error: cannot create canvas:', err);
return;
}
try {
config.gl = config.canvas?.getContext('webgl2', config.webGLattr) as WebGL2RenderingContext;
if (config.canvas) {
config.canvas.addEventListener('webglcontextlost', async (e) => {
log('error: humangl:', e.type);
// log('gpu memory usage:', instance.tf.engine().backendInstance.numBytesInGPU);
log('possible browser memory leak using webgl');
instance.emit('error');
throw new Error('browser webgl error');
/*
log('resetting humangl backend');
env.initial = true;
models.reset(instance);
await tf.removeBackend(config.name);
await register(instance); // re-register
*/
});
config.canvas.addEventListener('webglcontextrestored', (e) => {
log('error: humangl context restored:', e);
});
config.canvas.addEventListener('webglcontextcreationerror', (e) => {
log('error: humangl context create:', e);
});
}
} catch (err) {
log('error: cannot get WebGL context:', err);
return;
}
try {
tf.setWebGLContext(2, config.gl);
} catch (err) {
log('error: cannot set WebGL context:', err);
return;
}
const current = tf.backend().getGPGPUContext().gl;
if (current) {
log(`humangl webgl version:${current.getParameter(current.VERSION)} renderer:${current.getParameter(current.RENDERER)}`);
} else {
log('error: no current context:', current, config.gl);
}
try {
const ctx = new tf.GPGPUContext(config.gl);
tf.registerBackend(config.name, () => new tf.MathBackendWebGL(ctx), config.priority);
} catch (err) {
log('error: cannot register WebGL backend:', err);
return;
}
try {
const kernels = tf.getKernelsForBackend('webgl');
kernels.forEach((kernelConfig) => {
const newKernelConfig = { ...kernelConfig, backendName: config.name };
tf.registerKernel(newKernelConfig);
});
} catch (err) {
log('error: cannot update WebGL backend registration:', err);
return;
}
try {
tf.ENV.set('WEBGL_VERSION', 2);
} catch (err) {
log('error: cannot set WebGL backend flags:', err);
return;
}
extensions();
log('backend registered:', config.name);
}
}