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.

label Experimental

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

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).

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",
  },
});

// ...

• The WebGPU API