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@tensorflow/tfjs-core

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Hardware-accelerated JavaScript library for machine intelligence

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/** * @license * Copyright 2017 Google Inc. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ import {GPGPUProgram} from './gpgpu_math'; import {getCoordsDataType} from './shader_compiler'; export class StridedSliceProgram implements GPGPUProgram { variableNames = ['x']; outputShape: number[]; userCode: string; constructor( begin: number[], strides: number[], size: number[], shrinkAxis: number[]) { const shape = size.filter((v, index) => shrinkAxis.indexOf(index) === -1); this.outputShape = shape; const rank = size.length; const inputDtype = getCoordsDataType(size.length); const dtype = getCoordsDataType(shape.length); let newCoords = ''; if (rank === 1) { newCoords = 'coords * strides + begin'; } else { let outputAxis = 0; newCoords = size.map((_, i) => { if (shrinkAxis.indexOf(i) === -1) { outputAxis++; return shape.length === 1 ? `coords * strides[${i}] + begin[${i}]` : `coords[${outputAxis - 1}] * strides[${i}] + begin[${i}]`; } else { return `begin[${i}]`; } }) .join(','); } this.userCode = ` ${inputDtype} begin = ${inputDtype}(${begin}); ${inputDtype} strides = ${inputDtype}(${strides}); void main() { ${dtype} coords = getOutputCoords(); setOutput(getX(${newCoords})); } `; } }