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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,69 @@ | ||
| // Copyright (c) Microsoft Corporation. All rights reserved. | ||
| // Licensed under the MIT License. | ||
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| import {DataType} from '../../../wasm-common'; | ||
| import {TensorView} from '../../tensor-view'; | ||
| import {ShapeUtil} from '../../util'; | ||
| import {ComputeContext, ProgramInfo} from '../types'; | ||
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| import {inputVariable, outputVariable, ShaderHelper, tensorTypeToWsglValueType, UniformsArrayType, WORKGROUP_SIZE} from './common'; | ||
| import * as unary from './unary-op'; | ||
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| // GELU is defined as Y=0.5*X*(1+tanh(0.797885*X+0.035677*X*X*X)), where X may pre-add a bias. | ||
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| const createFastGeluProgramInfo = (inputTensors: readonly TensorView[]): ProgramInfo => { | ||
| const dataType = inputTensors[0].dataType; | ||
| const outputSize = ShapeUtil.size(inputTensors[0].dims); | ||
| const biasLength = ShapeUtil.size(inputTensors[1].dims); | ||
| // can only use vec4 when bias length is multiple of 4 | ||
| const useVec4 = biasLength % 4 === 0; | ||
| const getShaderSource = (shaderHelper: ShaderHelper): string => { | ||
| const x = inputVariable('x', dataType, [1], 4); | ||
| const bias = inputVariable('bias', dataType, [1], 4); | ||
| const y = outputVariable('y', dataType, [1], 4); | ||
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| const uniforms: UniformsArrayType = [{name: 'output_vec_size', type: 'u32'}, {name: 'bias_size', type: 'u32'}]; | ||
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| const singleElementBias = (i: 0|1|2|3) => ` | ||
| let bias${i}_offset: u32 = (global_idx * 4 + ${i}) % uniforms.bias_size; | ||
| let bias${i} = ${bias.getByOffset(`bias${i}_offset / 4`)}[bias${i}_offset % 4];`; | ||
| const biasGetExpression = useVec4 ? | ||
| ` | ||
| let bias = ${bias.getByOffset('global_idx % (uniforms.bias_size / 4)')};` : | ||
| `${singleElementBias(0)}${singleElementBias(1)}${singleElementBias(2)}${singleElementBias(3)} | ||
| let bias = ${x.type.value}(bias0, bias1, bias2, bias3);`; | ||
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| return `${shaderHelper.registerUniforms(uniforms).declareVariables(x, bias, y)} | ||
| ${unary.fastGeluImpl(tensorTypeToWsglValueType(dataType))} | ||
| ${shaderHelper.mainStart(WORKGROUP_SIZE)} | ||
| ${shaderHelper.guardAgainstOutOfBoundsWorkgroupSizes('uniforms.output_vec_size')} | ||
| let x = ${x.getByOffset('global_idx')}; | ||
| ${biasGetExpression} | ||
| let x_in = x + bias; | ||
| ${y.setByOffset('global_idx', unary.fastGeluExpression('x_in'))} | ||
| }`; | ||
| }; | ||
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| return { | ||
| name: 'FastGeluWithBias', | ||
| shaderCache: {hint: `${useVec4}`, inputDependencies: ['type', 'type']}, | ||
| getShaderSource, | ||
| getRunData: (inputs) => ({ | ||
| outputs: [{dims: inputs[0].dims, dataType: inputs[0].dataType}], | ||
| programUniforms: | ||
| [{type: DataType.uint32, data: Math.ceil(outputSize / 4)}, {type: DataType.uint32, data: biasLength}], | ||
| dispatchGroup: {x: Math.ceil(outputSize / WORKGROUP_SIZE / 4)} | ||
| }) | ||
| }; | ||
| }; | ||
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| export const fastGelu = (context: ComputeContext): void => { | ||
| if (context.inputs.length < 2 || ShapeUtil.size(context.inputs[1].dims) === 0) { | ||
| unary.fastGelu(context); | ||
| } else { | ||
| context.compute(createFastGeluProgramInfo(context.inputs)); | ||
| } | ||
| }; |
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