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@tensorflow/tfjs-core

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Hardware-accelerated JavaScript library for machine intelligence

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/** * @license * Copyright 2018 Google LLC. 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 * as broadcast_util from '../../ops/broadcast_util'; import {GPGPUProgram} from './gpgpu_math'; // (Ar + Ai)(Br + Bi) = // ArBr + ArBi + AiBr + AiBi = ArBr - AB + ArBi + AiBr // Yr = ArBr - AB // Yi = ArBi + AiBr export const COMPLEX_MULTIPLY = { REAL: 'return areal * breal - aimag * bimag;', IMAG: 'return areal * bimag + aimag * breal;' }; export class BinaryOpComplexProgram implements GPGPUProgram { variableNames = ['AReal', 'AImag', 'BReal', 'BImag']; userCode: string; outputShape: number[]; constructor(op: string, aShape: number[], bShape: number[]) { this.outputShape = broadcast_util.assertAndGetBroadcastShape(aShape, bShape); this.userCode = ` float binaryOpComplex( float areal, float aimag, float breal, float bimag) { ${op} } void main() { float areal = getARealAtOutCoords(); float aimag = getAImagAtOutCoords(); float breal = getBRealAtOutCoords(); float bimag = getBImagAtOutCoords(); setOutput(binaryOpComplex(areal, aimag, breal, bimag)); } `; } }