onnxruntime/js/web/lib/wasm/jsep/webgpu/ops/gelu.ts
satyajandhyala dd24d52737
[JS/Web] Added Gelu contrib operator support to JSEP (#16909)
### Description
Added Gelu operator to JSEP


### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
2023-07-31 09:18:58 -07:00

53 lines
2.1 KiB
TypeScript

// Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.
import {DataType} from '../../../wasm-common';
import {TensorView} from '../../tensor';
import {ShapeUtil} from '../../util';
import {ComputeContext, GpuDataType, ProgramInfo, ProgramInfoLoader, ProgramMetadata} from '../types';
import {ShaderHelper} from './common';
import {erfImpl} from './unary-op';
const validateInputs = (inputs: readonly TensorView[]): void => {
if (!inputs || inputs.length !== 1) {
throw new Error('Gelu requires 1 input');
}
if (inputs[0].dataType !== DataType.float) {
throw new Error('Input must be float');
}
};
const createGeluProgramInfo = (metadata: ProgramMetadata, inputs: readonly TensorView[]): ProgramInfo => {
const inputShape = inputs[0].dims;
const outputShape = inputShape.slice(0);
const outputSize = ShapeUtil.size(outputShape);
const dataType = 'f32';
const getShaderSource = (shaderHelper: ShaderHelper) => `
${erfImpl('f32')};
@group(0) @binding(0) var<storage, read> input: array<${dataType}>;
@group(0) @binding(1) var<storage, read_write> output: array<${dataType}>;
${shaderHelper.mainStart()}
${shaderHelper.guardAgainstOutOfBoundsWorkgroupSizes(outputSize)}
var x = input[global_id.x];
output[global_id.x] = 0.5 * x * (1.0 + erf_vf32(x * 0.7071067811865475));
}`;
return {
...metadata,
outputs: [{dims: outputShape, dataType: inputs[0].dataType, gpuDataType: GpuDataType.default}],
getShaderSource,
dispatchGroup: () => ({x: Math.ceil(outputSize / 64)})
};
};
const createGeluProgramInfoLoader = (inputs: readonly TensorView[]): ProgramInfoLoader => {
const metadata: ProgramMetadata = {name: 'Gelu', inputTypes: [GpuDataType.default]};
return {...metadata, get: () => createGeluProgramInfo(metadata, inputs)};
};
export const gelu = (context: ComputeContext): void => {
validateInputs(context.inputs);
// const erfValue = erfImpl(context.inputs[0].getFloat32Array().map(x => x * 0.7071067811865475));
context.compute(createGeluProgramInfoLoader(context.inputs));
};