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[JS/WebGPU] Support Tile operator (microsoft#17123)
### Description As title ### Motivation and Context Improve WebGPU op coverage
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// 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'; | ||
import {ShapeUtil} from '../../util'; | ||
import {ComputeContext, GpuDataType, ProgramInfo, ProgramMetadata} from '../types'; | ||
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import {inputVariable, outputVariable, ShaderHelper} from './common'; | ||
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export const tileProgramMetadata = { | ||
name: 'Tile', | ||
inputTypes: [GpuDataType.default] | ||
}; | ||
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const getRepeats = (repeatsTensorView: TensorView): readonly number[] => | ||
Array.from(repeatsTensorView.getBigInt64Array(), Number); | ||
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const validateInputs = (inputs: readonly TensorView[]): void => { | ||
if (!inputs || inputs.length !== 2) { | ||
throw new Error('Tile requires 2 inputs.'); | ||
} | ||
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if (inputs[0].dataType !== DataType.float && inputs[0].dataType !== DataType.int32 && | ||
inputs[0].dataType !== DataType.uint32) { | ||
throw new Error('Tile only support float, int32, and uint32 data types'); | ||
} | ||
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if (inputs[1].dataType !== DataType.int64) { | ||
throw new Error('Tile `repeats` input should be of int64 data type'); | ||
} | ||
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if (inputs[1].dims.length !== 1) { | ||
throw new Error('Tile `repeats` input should be 1-D'); | ||
} | ||
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const repeats: readonly number[] = getRepeats(inputs[1]); | ||
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if (repeats.length !== inputs[0].dims.length) { | ||
throw new Error('Tile `repeats` input should have same number of elements as rank of input data tensor'); | ||
} | ||
}; | ||
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const getOutputShape = (inputShape: readonly number[], repeats: readonly number[]): readonly number[] => { | ||
const outputShape: number[] = []; | ||
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for (let i = 0; i < inputShape.length; ++i) { | ||
outputShape.push(inputShape[i] * repeats[i]); | ||
} | ||
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return outputShape; | ||
}; | ||
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export const createTileProgramInfo = | ||
(tileProgramMetadata: ProgramMetadata, inputs: readonly TensorView[]): ProgramInfo => { | ||
const inputShape = inputs[0].dims; | ||
const repeats: readonly number[] = getRepeats(inputs[1]); | ||
const outputShape = getOutputShape(inputShape, repeats); | ||
const outputSize = ShapeUtil.size(outputShape); | ||
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const dataType = inputs[0].dataType; | ||
const input = inputVariable('input', dataType, inputShape); | ||
const output = outputVariable('output', dataType, outputShape); | ||
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const getShaderSource = (shaderHelper: ShaderHelper) => ` | ||
const inputShape = ${input.indices(...inputShape)}; | ||
${shaderHelper.declareVariables(input, output)} | ||
${output.impl('offsetToIndices')} | ||
${input.impl('indicesToOffset', 'get')} | ||
${shaderHelper.mainStart()} | ||
${shaderHelper.guardAgainstOutOfBoundsWorkgroupSizes(outputSize)} | ||
let outputIndices = ${output.offsetToIndices('global_idx')}; | ||
var inputIndices: ${input.type.indices}; | ||
for (var i = 0; i < ${inputShape.length}; i++) { | ||
let inputDimValue = ${output.indicesGet('outputIndices', 'i')} % ${input.indicesGet('inputShape', 'i')}; | ||
${input.indicesSet('inputIndices', 'i', 'inputDimValue')} | ||
} | ||
${output.setByOffset('global_idx', input.getByIndices('inputIndices'))} | ||
}`; | ||
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return { | ||
...tileProgramMetadata, | ||
outputs: [{dims: outputShape, dataType: inputs[0].dataType, gpuDataType: GpuDataType.default}], | ||
getShaderSource, | ||
dispatchGroup: () => ({x: Math.ceil(outputSize / 64 /* workgroup size */)}) | ||
}; | ||
}; | ||
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export const tile = (context: ComputeContext): void => { | ||
validateInputs(context.inputs); | ||
const repeats: readonly number[] = getRepeats(context.inputs[1]); | ||
const cacheHint = repeats.toString(); | ||
context.compute( | ||
{...tileProgramMetadata, cacheHint, get: () => createTileProgramInfo(tileProgramMetadata, context.inputs)}, | ||
{inputs: [0]}); | ||
}; |
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[ | ||
{ | ||
"name": "Tile 2D - float32", | ||
"operator": "Tile", | ||
"attributes": [], | ||
"cases": [ | ||
{ | ||
"name": "T[1,2]", | ||
"inputs": [ | ||
{ | ||
"data": [1, 2, 3, 4], | ||
"dims": [2, 2], | ||
"type": "float32" | ||
}, | ||
{ | ||
"data": [1, 2], | ||
"dims": [2], | ||
"type": "int64" | ||
} | ||
], | ||
"outputs": [ | ||
{ | ||
"data": [1, 2, 1, 2, 3, 4, 3, 4], | ||
"dims": [2, 4], | ||
"type": "float32" | ||
} | ||
] | ||
} | ||
] | ||
}, | ||
{ | ||
"name": "Tile 2D - int32", | ||
"operator": "Tile", | ||
"attributes": [], | ||
"cases": [ | ||
{ | ||
"name": "T[1,2]", | ||
"inputs": [ | ||
{ | ||
"data": [1, 2, 3, 4], | ||
"dims": [2, 2], | ||
"type": "int32" | ||
}, | ||
{ | ||
"data": [1, 2], | ||
"dims": [2], | ||
"type": "int64" | ||
} | ||
], | ||
"outputs": [ | ||
{ | ||
"data": [1, 2, 1, 2, 3, 4, 3, 4], | ||
"dims": [2, 4], | ||
"type": "int32" | ||
} | ||
] | ||
} | ||
] | ||
}, | ||
{ | ||
"name": "Tile 2D - uint32", | ||
"operator": "Tile", | ||
"attributes": [], | ||
"cases": [ | ||
{ | ||
"name": "T[1,2]", | ||
"inputs": [ | ||
{ | ||
"data": [1, 2, 3, 4], | ||
"dims": [2, 2], | ||
"type": "uint32" | ||
}, | ||
{ | ||
"data": [2, 1], | ||
"dims": [2], | ||
"type": "int64" | ||
} | ||
], | ||
"outputs": [ | ||
{ | ||
"data": [1, 2, 3, 4, 1, 2, 3, 4], | ||
"dims": [4, 2], | ||
"type": "uint32" | ||
} | ||
] | ||
} | ||
] | ||
}, | ||
{ | ||
"name": "Tile 1D - float32", | ||
"operator": "Tile", | ||
"attributes": [], | ||
"cases": [ | ||
{ | ||
"name": "T[2]", | ||
"inputs": [ | ||
{ | ||
"data": [1, 2], | ||
"dims": [2], | ||
"type": "float32" | ||
}, | ||
{ | ||
"data": [4], | ||
"dims": [1], | ||
"type": "int64" | ||
} | ||
], | ||
"outputs": [ | ||
{ | ||
"data": [1, 2, 1, 2, 1, 2, 1, 2], | ||
"dims": [8], | ||
"type": "float32" | ||
} | ||
] | ||
} | ||
] | ||
}, | ||
{ | ||
"name": "Tile 2D all dims", | ||
"operator": "Tile", | ||
"attributes": [], | ||
"cases": [ | ||
{ | ||
"name": "T[2]", | ||
"inputs": [ | ||
{ | ||
"data": [0, 1, 2, 3], | ||
"dims": [2, 2], | ||
"type": "float32" | ||
}, | ||
{ | ||
"data": [2, 2], | ||
"dims": [2], | ||
"type": "int64" | ||
} | ||
], | ||
"outputs": [ | ||
{ | ||
"data": [0, 1, 0, 1, 2, 3, 2, 3, 0, 1, 0, 1, 2, 3, 2, 3], | ||
"dims": [4, 4], | ||
"type": "float32" | ||
} | ||
] | ||
} | ||
] | ||
} | ||
] |
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// Copyright (c) Microsoft Corporation. All rights reserved. | ||
// Licensed under the MIT License. | ||
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#include "core/providers/js/js_kernel.h" | ||
#include "tile.h" | ||
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namespace onnxruntime { | ||
namespace js { | ||
ONNX_OPERATOR_VERSIONED_KERNEL_EX( | ||
Tile, | ||
kOnnxDomain, | ||
6, | ||
12, | ||
kJsExecutionProvider, | ||
KernelDefBuilder() | ||
.TypeConstraint("T", {DataTypeImpl::GetTensorType<float>(), | ||
DataTypeImpl::GetTensorType<int32_t>(), | ||
DataTypeImpl::GetTensorType<uint32_t>()}) | ||
.TypeConstraint("T1", DataTypeImpl::GetTensorType<int64_t>()) | ||
.InputMemoryType(OrtMemTypeCPU, 1), | ||
Tile); | ||
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ONNX_OPERATOR_KERNEL_EX( | ||
Tile, | ||
kOnnxDomain, | ||
13, | ||
kJsExecutionProvider, | ||
KernelDefBuilder() | ||
.TypeConstraint("T", {DataTypeImpl::GetTensorType<float>(), | ||
DataTypeImpl::GetTensorType<int32_t>(), | ||
DataTypeImpl::GetTensorType<uint32_t>()}) | ||
.TypeConstraint("T1", DataTypeImpl::GetTensorType<int64_t>()) | ||
.InputMemoryType(OrtMemTypeCPU, 1), | ||
Tile); | ||
} // namespace js | ||
} // namespace onnxruntime |
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// Copyright (c) Microsoft Corporation. All rights reserved. | ||
// Licensed under the MIT License. | ||
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#pragma once | ||
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#include "core/providers/js/js_kernel.h" | ||
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namespace onnxruntime { | ||
namespace js { | ||
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JSEP_KERNEL_IMPL(Tile, Tile); | ||
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} // namespace js | ||
} // namespace onnxruntime |