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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 SelectProgram implements GPGPUProgram { variableNames = ['c', 'a', 'b']; outputShape: number[]; userCode: string; constructor(cRank: number, shape: number[], rank: number) { this.outputShape = shape; let cCoords; let abCoords; if (rank > 4) { throw Error(`Where for rank ${rank} is not yet supported`); } if (rank === 1) { abCoords = `resRC`; cCoords = `resRC`; } else { const currentCoords = ['resRC.x', 'resRC.y', 'resRC.z', 'resRC.w']; const cCoordVars = []; const abCoordVars = []; for (let i = 0; i < shape.length; i++) { abCoordVars.push(`${currentCoords[i]}`); if (i < cRank) { cCoordVars.push(`${currentCoords[i]}`); } } cCoords = cCoordVars.join(); abCoords = abCoordVars.join(); } const dtype = getCoordsDataType(rank); this.userCode = ` void main() { ${dtype} resRC = getOutputCoords(); float cVal = getC(${cCoords}); if (cVal >= 1.0) { setOutput(getA(${abCoords})); } else { setOutput(getB(${abCoords})); } } `; } }