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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,179 @@ | ||
| // Copyright (c) Microsoft Corporation. All rights reserved. | ||
| // Licensed under the MIT License. | ||
|
|
||
| import { DataType } from '../../../wasm-common'; | ||
| import { TensorView } from '../../tensor-view'; | ||
| import { ShapeUtil } from '../../util'; | ||
| import { AttributeWithCacheKey } from '../attribute-with-cache-key'; | ||
| import { ComputeContext, ProgramUniform } from '../types'; | ||
|
|
||
| import { createTensorShapeVariables, inputVariable, outputVariable, ShaderHelper, UniformsArrayType } from './common'; | ||
|
|
||
| export interface GatherNDAttributes extends AttributeWithCacheKey { | ||
| readonly batchDims: number; | ||
| } | ||
|
|
||
| const computeSliceOffsets = ( | ||
| context: ComputeContext, | ||
| indicesData: TensorView, | ||
| sizesFromSliceDimsData: number[], | ||
| batchDims: number, | ||
| inputDims: readonly number[], | ||
| numSlices: number, | ||
| numSlicesPerBatch: number, | ||
| inputBatchStride: number, | ||
| numSliceDims: number, | ||
| ) => { | ||
| const programUniforms: ProgramUniform[] = [ | ||
| { type: DataType.uint32, data: numSlices }, | ||
| { type: DataType.uint32, data: batchDims }, | ||
| { type: DataType.uint32, data: inputDims }, | ||
| { type: DataType.uint32, data: sizesFromSliceDimsData }, | ||
| { type: DataType.uint32, data: numSlicesPerBatch }, | ||
| { type: DataType.uint32, data: inputBatchStride }, | ||
| { type: DataType.uint32, data: numSliceDims }, | ||
| ]; | ||
|
|
||
| const outputShape = [numSlices]; | ||
| programUniforms.push(...createTensorShapeVariables(indicesData.dims, outputShape)); | ||
|
|
||
| const getShaderSource = (shaderHelper: ShaderHelper) => { | ||
| const indices = inputVariable('indices_data', indicesData.dataType, indicesData.dims.length); | ||
| const output = outputVariable('input_slice_offsets_data', indicesData.dataType, 1, 1); | ||
| const variables = [indices, output]; | ||
| const uniforms: UniformsArrayType = [ | ||
| { name: 'output_size', type: 'u32' }, | ||
| { name: 'batch_dims', type: 'u32' }, | ||
| { name: 'input_dims', type: 'u32', length: inputDims.length }, | ||
| { name: 'sizes_from_slice_dims_data', type: 'u32', length: sizesFromSliceDimsData.length }, | ||
| { name: 'num_slices_per_batch', type: 'u32' }, | ||
| { name: 'input_batch_stride', type: 'u32' }, | ||
| { name: 'num_slice_dims', type: 'u32' }, | ||
| ]; | ||
| return ` | ||
| ${shaderHelper.registerUniforms(uniforms).declareVariables(...variables)} | ||
| ${shaderHelper.mainStart()} | ||
| ${shaderHelper.guardAgainstOutOfBoundsWorkgroupSizes('uniforms.output_size')} | ||
| let batch_idx = global_idx / uniforms.num_slices_per_batch; | ||
| let base_offset = batch_idx * uniforms.input_batch_stride; | ||
| let slice_indices_base_offset = global_idx * uniforms.num_slice_dims; | ||
| var relative_slice_offset = 0; | ||
| for (var dim_idx = 0u; dim_idx < uniforms.num_slice_dims; dim_idx ++) { | ||
| var index = i32(indices_data[dim_idx + slice_indices_base_offset].x); | ||
| let input_dim_idx = uniforms.batch_dims + dim_idx; | ||
| if (index < 0) { | ||
| ${ | ||
| inputDims.length === 1 | ||
| ? 'index += i32(uniforms.input_dims);' | ||
| : 'index += i32(uniforms.input_dims[input_dim_idx]);' | ||
| } | ||
| } | ||
| ${ | ||
| sizesFromSliceDimsData.length === 1 | ||
| ? 'relative_slice_offset += index * i32(uniforms.sizes_from_slice_dims_data);' | ||
| : 'relative_slice_offset += index * i32(uniforms.sizes_from_slice_dims_data[dim_idx]);' | ||
| } | ||
| } | ||
| input_slice_offsets_data[global_idx].x = base_offset + u32(relative_slice_offset); | ||
| }`; | ||
| }; | ||
|
|
||
| return context.compute( | ||
| { | ||
| name: 'computeSliceOffsets', | ||
| shaderCache: { hint: `${inputDims.length}_${sizesFromSliceDimsData.length}`, inputDependencies: ['rank'] }, | ||
| getRunData: () => ({ | ||
| outputs: [{ dims: outputShape, dataType: context.inputs[1].dataType }], | ||
| dispatchGroup: { x: Math.ceil(numSlices / 64) }, | ||
| programUniforms, | ||
| }), | ||
| getShaderSource, | ||
| }, | ||
| { inputs: [indicesData], outputs: [-1] }, | ||
| )[0]; | ||
| }; | ||
|
|
||
| export const gatherND = (context: ComputeContext, attributes: GatherNDAttributes) => { | ||
| const inputs = context.inputs; | ||
| const inputShape = inputs[0].dims; | ||
| const inputType = inputs[0].dataType; | ||
| const indicesShape = inputs[1].dims; | ||
| const numSliceDims = indicesShape[indicesShape.length - 1]; | ||
| const numSlices = ShapeUtil.sizeToDimension(indicesShape, indicesShape.length - 1); | ||
| const sliceSize = ShapeUtil.sizeFromDimension(inputShape, attributes.batchDims + numSliceDims); | ||
| const numBatches = ShapeUtil.sizeToDimension(inputShape, attributes.batchDims); | ||
| const inputBatchStride = ShapeUtil.sizeFromDimension(inputShape, attributes.batchDims); | ||
| const numSlicesPerBatch = numSlices / numBatches; | ||
| const sizesFromSliceDims = new Array(numSliceDims); | ||
| let runningProduct = sliceSize; | ||
| for (let i = 0; i < numSliceDims; ++i) { | ||
| sizesFromSliceDims[numSliceDims - 1 - i] = runningProduct; | ||
| runningProduct *= inputShape[attributes.batchDims + numSliceDims - 1 - i]; | ||
| } | ||
|
|
||
| const inputSliceOffsets = computeSliceOffsets( | ||
| context, | ||
| inputs[1], | ||
| sizesFromSliceDims, | ||
| attributes.batchDims, | ||
| inputShape, | ||
| numSlices, | ||
| numSlicesPerBatch, | ||
| inputBatchStride, | ||
| numSliceDims, | ||
| ); | ||
|
|
||
| const lastIndicesDimension = attributes.batchDims + numSliceDims; | ||
| if (lastIndicesDimension > inputShape.length) { | ||
| throw new Error('last dimension of indices must not be larger than rank of input tensor'); | ||
| } | ||
|
|
||
| const outputShape = indicesShape.slice(0, -1).concat(inputShape.slice(lastIndicesDimension)); | ||
| const outputSize = ShapeUtil.size(outputShape); | ||
|
|
||
| const programUniforms: ProgramUniform[] = [ | ||
| { type: DataType.uint32, data: outputSize }, | ||
| { type: DataType.uint32, data: sliceSize }, | ||
| ...createTensorShapeVariables(inputs[0].dims, inputSliceOffsets.dims, outputShape), | ||
| ]; | ||
|
|
||
| const getShaderSource = (shaderHelper: ShaderHelper) => { | ||
| const input = inputVariable('data', inputs[0].dataType, inputs[0].dims.length); | ||
| const indices = inputVariable('slice_offsets', inputSliceOffsets.dataType, inputSliceOffsets.dims.length); | ||
|
|
||
| const output = outputVariable('output', inputs[0].dataType, outputShape.length); | ||
| return ` | ||
| ${shaderHelper | ||
| .registerUniform('output_size', 'u32') | ||
| .registerUniform('slice_size', 'u32') | ||
| .declareVariables(input, indices, output)} | ||
| ${shaderHelper.mainStart()} | ||
| ${shaderHelper.guardAgainstOutOfBoundsWorkgroupSizes('uniforms.output_size')} | ||
| let slice_offset = slice_offsets[global_idx / uniforms.slice_size].x; | ||
| output[global_idx] = data[u32(slice_offset) + global_idx % uniforms.slice_size]; | ||
| }`; | ||
| }; | ||
| context.compute( | ||
| { | ||
| name: 'GatherND', | ||
| shaderCache: { hint: attributes.cacheKey, inputDependencies: ['rank', 'rank'] }, | ||
| getRunData: () => ({ | ||
| outputs: [{ dims: outputShape, dataType: inputType }], | ||
| dispatchGroup: { x: Math.ceil(outputSize / 64 /* workgroup size */) }, | ||
| programUniforms, | ||
| }), | ||
| getShaderSource, | ||
| }, | ||
| { inputs: [inputs[0], inputSliceOffsets] }, | ||
| ); | ||
| }; | ||
|
|
||
| export const parseGatherNDAttributes = (attributes: Record<string, unknown>): GatherNDAttributes => { | ||
| const batchDims = attributes.batch_dims as number; | ||
| return { | ||
| batchDims, | ||
| cacheKey: ``, | ||
| }; | ||
| }; |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,147 @@ | ||
| [ | ||
| { | ||
| "name": "GatherND int32", | ||
| "operator": "GatherND", | ||
| "attributes": [], | ||
| "cases": [ | ||
| { | ||
| "name": "data[4] indices[]", | ||
| "inputs": [ | ||
| { | ||
| "data": [100, 101, 102, 777, 778, 779, 1000, 1001, 1002], | ||
| "dims": [9], | ||
| "type": "int32" | ||
| }, | ||
| { | ||
| "data": [0, 4, 8], | ||
| "dims": [3, 1], | ||
| "type": "int64" | ||
| } | ||
| ], | ||
| "outputs": [ | ||
| { | ||
| "data": [100, 778, 1002], | ||
| "dims": [3], | ||
| "type": "int32" | ||
| } | ||
| ] | ||
| } | ||
| ] | ||
| }, | ||
| { | ||
| "name": "GatherND float32", | ||
| "operator": "GatherND", | ||
| "attributes": [], | ||
| "cases": [ | ||
| { | ||
| "name": "data[4] indices[]", | ||
| "inputs": [ | ||
| { | ||
| "data": [100.1, 101.2, 102.3, 777.4, 778.5, 779.6, 1000.7, 1001.8, 1002.9], | ||
| "dims": [9], | ||
| "type": "float32" | ||
| }, | ||
| { | ||
| "data": [0, 4, 8], | ||
| "dims": [3, 1], | ||
| "type": "int64" | ||
| } | ||
| ], | ||
| "outputs": [ | ||
| { | ||
| "data": [100.0999984741211, 778.5, 1002.9000244140625], | ||
| "dims": [3], | ||
| "type": "float32" | ||
| } | ||
| ] | ||
| } | ||
| ] | ||
| }, | ||
| { | ||
| "name": "GatherND int32 [2 2 2], batch_dims", | ||
| "operator": "GatherND", | ||
| "attributes": [{ "name": "batch_dims", "data": 1, "type": "int" }], | ||
| "cases": [ | ||
| { | ||
| "name": "data[4] indices[]", | ||
| "inputs": [ | ||
| { | ||
| "data": [0, 1, 2, 3, 4, 5, 6, 7], | ||
| "dims": [2, 2, 2], | ||
| "type": "int32" | ||
| }, | ||
| { | ||
| "data": [1, 0], | ||
| "dims": [2, 1], | ||
| "type": "int64" | ||
| } | ||
| ], | ||
| "outputs": [ | ||
| { | ||
| "data": [2, 3, 4, 5], | ||
| "dims": [2, 2], | ||
| "type": "int32" | ||
| } | ||
| ] | ||
| } | ||
| ] | ||
| }, | ||
| { | ||
| "name": "GatherND float16", | ||
| "operator": "GatherND", | ||
| "attributes": [], | ||
| "cases": [ | ||
| { | ||
| "name": "data[4] indices[]", | ||
| "inputs": [ | ||
| { | ||
| "data": [100.1, 101.2, 102.3, 777.4, 778.5, 779.6, 1000.7, 1001.8, 1002.9], | ||
| "dims": [9], | ||
| "type": "float16" | ||
| }, | ||
| { | ||
| "data": [0, 4, 8], | ||
| "dims": [3, 1], | ||
| "type": "int64" | ||
| } | ||
| ], | ||
| "outputs": [ | ||
| { | ||
| "data": [100.0999984741211, 778.5, 1002.9000244140625], | ||
| "dims": [3], | ||
| "type": "float16" | ||
| } | ||
| ] | ||
| } | ||
| ] | ||
| }, | ||
| { | ||
| "name": "GatherND uint32 [2 2 2], batch_dims", | ||
| "operator": "GatherND", | ||
| "attributes": [{ "name": "batch_dims", "data": 1, "type": "int" }], | ||
| "cases": [ | ||
| { | ||
| "name": "data[4] indices[]", | ||
| "inputs": [ | ||
| { | ||
| "data": [0, 1, 2, 3, 4, 5, 6, 7], | ||
| "dims": [2, 2, 2], | ||
| "type": "uint32" | ||
| }, | ||
| { | ||
| "data": [1, 0], | ||
| "dims": [2, 1], | ||
| "type": "int64" | ||
| } | ||
| ], | ||
| "outputs": [ | ||
| { | ||
| "data": [2, 3, 4, 5], | ||
| "dims": [2, 2], | ||
| "type": "uint32" | ||
| } | ||
| ] | ||
| } | ||
| ] | ||
| } | ||
| ] |
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