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GPUDevice: createComputePipelineAsync() method

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

The createComputePipelineAsync() method of the GPUDevice interface returns a Promise that fulfills with a GPUComputePipeline, which can control the compute shader stage and be used in a GPUComputePassEncoder, once the pipeline can be used without any stalling.

Note: It is generally preferable to use this method over GPUDevice.createComputePipeline() whenever possible, as it prevents blocking of GPU operation execution on pipeline compilation.

Syntax

js

createComputePipeline(descriptor)

Parameters

descriptor

See the descriptor definition for the GPUDevice.createComputePipeline() method.

Return value

A Promise that fulfills with a GPUComputePipeline object instance when the created pipeline is ready to be used without additional delay.

Validation

If pipeline creation fails and the resulting pipeline becomes invalid as a result, the returned promise rejects with a GPUPipelineError:

  • If this is due to an internal error, the GPUPipelineError will have a reason of "internal".
  • If this is due to a validation error, the GPUPipelineError will have a reason of "validation".

A validation error can occur if any of the following are false:

  • The workgroup storage size used by the module referenced inside the compute property is less than or equal to the GPUDevice's maxComputeWorkgroupStorageSize limit.
  • The module uses a number of compute invocations per workgroup less than or equal to the GPUDevice's maxComputeInvocationsPerWorkgroup limit.
  • The module's workgroup size is less than or equal to the GPUDevice's corresponding maxComputeWorkgroupSizeX, maxComputeWorkgroupSizeY, or maxComputeWorkgroupSizeZ limit.

Examples

Note: The WebGPU samples feature many more examples.

Basic example

The following example shows a process of:

js

async function init() {
  // ...

  const bindGroupLayout = device.createBindGroupLayout({
    entries: [
      {
        binding: 0,
        visibility: GPUShaderStage.COMPUTE,
        buffer: {
          type: "storage",
        },
      },
    ],
  });

  const computePipeline = await device.createComputePipelineAsync({
    layout: device.createPipelineLayout({
      bindGroupLayouts: [bindGroupLayout],
    }),
    compute: {
      module: shaderModule,
      entryPoint: "main",
    },
  });

  // ...
}

Specifications

Browser compatibility

Desktop Mobile
Chrome Edge Firefox Internet Explorer Opera Safari WebView Android Chrome Android Firefox for Android Opera Android Safari on IOS Samsung Internet
createComputePipelineAsync
113Currently supported on ChromeOS, macOS, and Windows only.
113Currently supported on ChromeOS, macOS, and Windows only.
previewCurrently supported on Linux and Windows only.
No
99Currently supported on ChromeOS, macOS, and Windows only.
No No No No No No No

See also

© 2005–2023 MDN contributors.
Licensed under the Creative Commons Attribution-ShareAlike License v2.5 or later.
https://developer.mozilla.org/en-US/docs/Web/API/GPUDevice/createComputePipelineAsync