GPUComputePipeline

Experimental: This is an experimental technology
Check the Browser compatibility table carefully before using this in production.

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

label Experimental: A string providing a label that can be used to identify the object, for example in GPUError messages or console warnings.

Instance methods

getBindGroupLayout() Experimental: Returns the pipeline's GPUBindGroupLayout object with the given index (i.e. included in the originating GPUDevice.createComputePipeline() or GPUDevice.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 bindGroupLayout into GPUDevice.createPipelineLayout() to create a GPUPipelineLayout.
Using that value immediately in a createComputePipeline() call to create a GPUComputePipeline.

// ...

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

BCD tables only load in the browser