GPUComputePipeline
Limited availability
This feature is not Baseline because it does not work in some of the most widely-used browsers.
Secure context: This feature is available only in secure contexts (HTTPS), in some or all supporting browsers.
Note: This feature is available in Web Workers.
The GPUComputePipeline interface of the WebGPU API represents a pipeline that controls the compute shader stage and can be used in a GPUComputePassEncoder.
A GPUComputePipeline object instance can be created using the GPUDevice.createComputePipeline() or GPUDevice.createComputePipelineAsync() methods.
Instance properties
Instance methods
getBindGroupLayout()-
Returns the pipeline's
GPUBindGroupLayoutobject with the given index (i.e., included in the originatingGPUDevice.createComputePipeline()orGPUDevice.createComputePipelineAsync()call's pipeline layout).
Examples
Note: The WebGPU samples feature many more examples.
Basic example
Our basic compute demo shows a process of:
- Creating a bind group layout with
GPUDevice.createBindGroupLayout(). - Feeding the
bindGroupLayoutintoGPUDevice.createPipelineLayout()to create aGPUPipelineLayout. - Using that value immediately in a
createComputePipeline()call to create aGPUComputePipeline.
// …
const bindGroupLayout = device.createBindGroupLayout({
entries: [
{
binding: 0,
visibility: GPUShaderStage.COMPUTE,
buffer: {
type: "storage",
},
},
],
});
const computePipeline = device.createComputePipeline({
layout: device.createPipelineLayout({
bindGroupLayouts: [bindGroupLayout],
}),
compute: {
module: shaderModule,
entryPoint: "main",
},
});
// …
Specifications
| Specification |
|---|
| WebGPU> # gpucomputepipeline> |
Browser compatibility
Loading…
See also
- The WebGPU API