GPU
Experimental: This is an experimental technology
Check the Browser compatibility table carefully before using this in production.
The GPU
interface of the WebGPU API is the starting point for using WebGPU. It can be used to return a GPUAdapter
from which you can request devices, configure features and limits, and more.
The GPU
object for the current context is accessed via the Navigator.gpu
or WorkerNavigator.gpu
properties.
Instance properties
wgslLanguageFeatures
Experimental Read only-
A
WGSLLanguageFeatures
object that reports the WGSL language extensions supported by the WebGPU implementation.
Instance methods
requestAdapter()
Experimental-
Returns a
Promise
that fulfills with aGPUAdapter
object instance. From this you can request aGPUDevice
, which is the primary interface for using WebGPU functionality. getPreferredCanvasFormat()
Experimental-
Returns the optimal canvas texture format for displaying 8-bit depth, standard dynamic range content on the current system.
Examples
Requesting an adapter and a device
js
async function init() {
if (!navigator.gpu) {
throw Error("WebGPU not supported.");
}
const adapter = await navigator.gpu.requestAdapter();
if (!adapter) {
throw Error("Couldn't request WebGPU adapter.");
}
const device = await adapter.requestDevice();
//...
}
Configuring a GPUCanvasContext with the optimal texture format
js
const canvas = document.querySelector("#gpuCanvas");
const context = canvas.getContext("webgpu");
context.configure({
device: device,
format: navigator.gpu.getPreferredCanvasFormat(),
alphaMode: "premultiplied",
});
Specifications
Specification |
---|
WebGPU # gpu-interface |
Browser compatibility
BCD tables only load in the browser
See also
- The WebGPU API