/**
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* @license
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* Copyright 2020 Google LLC. All Rights Reserved.
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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* =============================================================================
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*/
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import { backend_util, util } from '@tensorflow/tfjs-core';
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import { add } from '../kernels/Add';
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import { complex } from '../kernels/Complex';
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import { concat } from '../kernels/Concat';
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import { identity } from '../kernels/Identity';
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import { imag } from '../kernels/Imag';
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import { multiply } from '../kernels/Multiply';
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import { real } from '../kernels/Real';
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import { realDivConfig } from '../kernels/RealDiv';
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import { slice } from '../kernels/Slice';
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import { sub } from '../kernels/Sub';
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/**
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* Calculate FFT of inner most elements of batch tensor.
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*/
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export function fftBatch(input, inverse, cpuBackend) {
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const inputShape = input.shape;
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const batch = inputShape[0];
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const innerDim = inputShape[1];
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const inputVals = cpuBackend.data.get(input.dataId);
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const real2D = inputVals.complexTensorInfos.real;
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const imag2D = inputVals.complexTensorInfos.imag;
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// Collects real and imaginary values separately.
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const resultShape = [batch, innerDim];
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const resultSize = util.sizeFromShape(resultShape);
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const resultReal = util.getTypedArrayFromDType('float32', resultSize);
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const resultImag = util.getTypedArrayFromDType('float32', resultSize);
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for (let b = 0; b < batch; b++) {
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// TODO: Support slice ops for complex type.
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const r = slice({
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inputs: { x: real2D },
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backend: cpuBackend,
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attrs: { begin: [b, 0], size: [1, innerDim] }
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});
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const i = slice({
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inputs: { x: imag2D },
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backend: cpuBackend,
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attrs: { begin: [b, 0], size: [1, innerDim] }
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});
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const input = complex({ inputs: { real: r, imag: i }, backend: cpuBackend });
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// Run FFT by batch element.
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const { real, imag } = fftImpl(input, inverse, cpuBackend);
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const res = backend_util.mergeRealAndImagArrays(real, imag);
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for (let d = 0; d < innerDim; d++) {
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const c = backend_util.getComplexWithIndex(res, d);
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resultReal[b * innerDim + d] = c.real;
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resultImag[b * innerDim + d] = c.imag;
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}
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cpuBackend.disposeIntermediateTensorInfo(r);
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cpuBackend.disposeIntermediateTensorInfo(i);
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cpuBackend.disposeIntermediateTensorInfo(input);
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}
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const $realInfo = cpuBackend.makeTensorInfo(resultShape, 'float32', resultReal);
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const $imagInfo = cpuBackend.makeTensorInfo(resultShape, 'float32', resultImag);
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const result = complex({ inputs: { real: $realInfo, imag: $imagInfo }, backend: cpuBackend });
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cpuBackend.disposeIntermediateTensorInfo($realInfo);
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cpuBackend.disposeIntermediateTensorInfo($imagInfo);
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return result;
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}
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export function fftImpl(input, inverse, cpuBackend) {
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const inputSize = util.sizeFromShape(input.shape);
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const inputVals = cpuBackend.data.get(input.dataId);
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const realVals = cpuBackend.data.get(inputVals.complexTensorInfos.real.dataId).values;
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const imagVals = cpuBackend.data.get(inputVals.complexTensorInfos.imag.dataId).values;
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if (isExponentOf2(inputSize)) {
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const result = fftRadix2(realVals, imagVals, inputSize, inverse, cpuBackend);
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const resultShape = [input.shape[0], input.shape[1]];
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if (inverse) {
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const realInfo = cpuBackend.makeTensorInfo(resultShape, 'float32', result.real);
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const imagInfo = cpuBackend.makeTensorInfo(resultShape, 'float32', result.imag);
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const sizeInfo = cpuBackend.makeTensorInfo([], 'float32', util.createScalarValue(inputSize, 'float32'));
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const sizeInfoCopy = identity({ inputs: { x: sizeInfo }, backend: cpuBackend });
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const divRealInfo = realDivConfig.kernelFunc({ inputs: { a: realInfo, b: sizeInfo }, backend: cpuBackend });
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const divImagInfo = realDivConfig.kernelFunc({ inputs: { a: imagInfo, b: sizeInfoCopy }, backend: cpuBackend });
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const divRealVals = cpuBackend.data.get(divRealInfo.dataId).values;
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const divImagVals = cpuBackend.data.get(divImagInfo.dataId).values;
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cpuBackend.disposeIntermediateTensorInfo(realInfo);
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cpuBackend.disposeIntermediateTensorInfo(imagInfo);
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cpuBackend.disposeIntermediateTensorInfo(sizeInfo);
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cpuBackend.disposeIntermediateTensorInfo(sizeInfoCopy);
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cpuBackend.disposeIntermediateTensorInfo(divRealInfo);
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cpuBackend.disposeIntermediateTensorInfo(divImagInfo);
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return { real: divRealVals, imag: divImagVals };
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}
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return result;
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}
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else {
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const data = backend_util.mergeRealAndImagArrays(realVals, imagVals);
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const rawOutput = fourierTransformByMatmul(data, inputSize, inverse);
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return backend_util.splitRealAndImagArrays(rawOutput);
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}
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}
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function isExponentOf2(size) {
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return (size & size - 1) === 0;
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}
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// FFT using Cooley-Tukey algorithm on radix 2 dimensional input.
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function fftRadix2(realVals, imagVals, size, inverse, cpuBackend) {
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if (size === 1) {
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return { real: realVals, imag: imagVals };
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}
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const data = backend_util.mergeRealAndImagArrays(realVals, imagVals);
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const half = size / 2;
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const evenComplex = backend_util.complexWithEvenIndex(data);
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const evenRealVals = evenComplex.real;
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const evenImagVals = evenComplex.imag;
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const evenShape = [evenRealVals.length];
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const evenRealInfo = cpuBackend.makeTensorInfo(evenShape, 'float32', evenRealVals);
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const evenImagInfo = cpuBackend.makeTensorInfo(evenShape, 'float32', evenImagVals);
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const evenTensorInfo = complex({ inputs: { real: evenRealInfo, imag: evenImagInfo }, backend: cpuBackend });
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const oddComplex = backend_util.complexWithOddIndex(data);
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const oddRealVals = oddComplex.real;
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const oddImagVals = oddComplex.imag;
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const oddShape = [oddRealVals.length];
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const oddRealInfo = cpuBackend.makeTensorInfo(oddShape, 'float32', oddRealVals);
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const oddImagInfo = cpuBackend.makeTensorInfo(oddShape, 'float32', oddImagVals);
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const oddTensorInfo = complex({ inputs: { real: oddRealInfo, imag: oddImagInfo }, backend: cpuBackend });
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// Recursive call for half part of original input.
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const $evenComplex = fftRadix2(evenRealVals, evenImagVals, half, inverse, cpuBackend);
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const $evenRealVals = $evenComplex.real;
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const $evenImagVals = $evenComplex.imag;
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const $evenShape = [$evenRealVals.length];
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const $evenRealInfo = cpuBackend.makeTensorInfo($evenShape, 'float32', $evenRealVals);
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const $evenImagInfo = cpuBackend.makeTensorInfo($evenShape, 'float32', $evenImagVals);
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const $evenTensorInfo = complex({
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inputs: { real: $evenRealInfo, imag: $evenImagInfo },
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backend: cpuBackend
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});
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const $oddComplex = fftRadix2(oddRealVals, oddImagVals, half, inverse, cpuBackend);
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const $oddRealVals = $oddComplex.real;
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const $oddImagVals = $oddComplex.imag;
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const $oddShape = [$oddRealVals.length];
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const $oddRealInfo = cpuBackend.makeTensorInfo($oddShape, 'float32', $oddRealVals);
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const $oddImagInfo = cpuBackend.makeTensorInfo($oddShape, 'float32', $oddImagVals);
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const $oddTensorInfo = complex({ inputs: { real: $oddRealInfo, imag: $oddImagInfo }, backend: cpuBackend });
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const e = backend_util.exponents(size, inverse);
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const eShape = [e.real.length];
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const eRealInfo = cpuBackend.makeTensorInfo(eShape, 'float32', e.real);
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const eImagInfo = cpuBackend.makeTensorInfo(eShape, 'float32', e.imag);
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const complexInfo = complex({ inputs: { real: eRealInfo, imag: eImagInfo }, backend: cpuBackend });
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const exponentInfo = multiply({ inputs: { a: complexInfo, b: $oddTensorInfo }, backend: cpuBackend });
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const addPart = add({
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inputs: { a: $evenTensorInfo, b: exponentInfo },
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backend: cpuBackend
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});
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const subPart = sub({
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inputs: { a: $evenTensorInfo, b: exponentInfo },
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backend: cpuBackend
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});
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const addPartReal = real({ inputs: { input: addPart }, backend: cpuBackend });
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const subPartReal = real({ inputs: { input: subPart }, backend: cpuBackend });
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const addPartImag = imag({ inputs: { input: addPart }, backend: cpuBackend });
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const subPartImag = imag({ inputs: { input: subPart }, backend: cpuBackend });
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const $real = concat({
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inputs: [addPartReal, subPartReal],
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backend: cpuBackend,
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attrs: { axis: 0 }
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});
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const $imag = concat({
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inputs: [addPartImag, subPartImag],
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backend: cpuBackend,
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attrs: { axis: 0 }
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});
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const $realVals = cpuBackend.data.get($real.dataId).values;
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const $imagVals = cpuBackend.data.get($imag.dataId).values;
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cpuBackend.disposeIntermediateTensorInfo(evenRealInfo);
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cpuBackend.disposeIntermediateTensorInfo(evenImagInfo);
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cpuBackend.disposeIntermediateTensorInfo(evenTensorInfo);
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cpuBackend.disposeIntermediateTensorInfo(oddRealInfo);
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cpuBackend.disposeIntermediateTensorInfo(oddImagInfo);
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cpuBackend.disposeIntermediateTensorInfo(oddTensorInfo);
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cpuBackend.disposeIntermediateTensorInfo($evenRealInfo);
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cpuBackend.disposeIntermediateTensorInfo($evenImagInfo);
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cpuBackend.disposeIntermediateTensorInfo($evenTensorInfo);
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cpuBackend.disposeIntermediateTensorInfo($oddRealInfo);
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cpuBackend.disposeIntermediateTensorInfo($oddImagInfo);
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cpuBackend.disposeIntermediateTensorInfo($oddTensorInfo);
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cpuBackend.disposeIntermediateTensorInfo(eRealInfo);
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cpuBackend.disposeIntermediateTensorInfo(eImagInfo);
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cpuBackend.disposeIntermediateTensorInfo(complexInfo);
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cpuBackend.disposeIntermediateTensorInfo(exponentInfo);
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cpuBackend.disposeIntermediateTensorInfo(addPart);
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cpuBackend.disposeIntermediateTensorInfo(subPart);
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cpuBackend.disposeIntermediateTensorInfo(addPartReal);
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cpuBackend.disposeIntermediateTensorInfo(addPartImag);
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cpuBackend.disposeIntermediateTensorInfo(subPartReal);
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cpuBackend.disposeIntermediateTensorInfo(subPartImag);
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cpuBackend.disposeIntermediateTensorInfo($real);
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cpuBackend.disposeIntermediateTensorInfo($imag);
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return { real: $realVals, imag: $imagVals };
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}
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// Calculate fourier transform by multplying sinusoid matrix.
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function fourierTransformByMatmul(data, size, inverse) {
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const ret = new Float32Array(size * 2);
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// TODO: Use matmul instead once it supports complex64 type.
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for (let r = 0; r < size; r++) {
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let real = 0.0;
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let imag = 0.0;
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for (let c = 0; c < size; c++) {
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const e = backend_util.exponent(r * c, size, inverse);
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const term = backend_util.getComplexWithIndex(data, c);
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real += term.real * e.real - term.imag * e.imag;
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imag += term.real * e.imag + term.imag * e.real;
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}
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if (inverse) {
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real /= size;
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imag /= size;
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}
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backend_util.assignToTypedArray(ret, real, imag, r);
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}
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return ret;
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}
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* @license\n * Copyright 2020 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {backend_util, Tensor, TensorInfo, TypedArray, util} from '@tensorflow/tfjs-core';\n\nimport {MathBackendCPU} from '../backend_cpu';\nimport {add} from '../kernels/Add';\nimport {complex} from '../kernels/Complex';\nimport {concat} from '../kernels/Concat';\nimport {identity} from '../kernels/Identity';\nimport {imag} from '../kernels/Imag';\nimport {multiply} from '../kernels/Multiply';\nimport {real} from '../kernels/Real';\nimport {realDivConfig} from '../kernels/RealDiv';\nimport {slice} from '../kernels/Slice';\nimport {sub} from '../kernels/Sub';\n\n/**\n * Calculate FFT of inner most elements of batch tensor.\n */\nexport function fftBatch(\n    input: TensorInfo, inverse: boolean,\n    cpuBackend: MathBackendCPU): TensorInfo {\n  const inputShape = input.shape;\n  const batch = inputShape[0];\n  const innerDim = inputShape[1];\n\n  const inputVals = cpuBackend.data.get(input.dataId);\n\n  const real2D = inputVals.complexTensorInfos.real;\n  const imag2D = inputVals.complexTensorInfos.imag;\n\n  // Collects real and imaginary values separately.\n  const resultShape = [batch, innerDim];\n  const resultSize = util.sizeFromShape(resultShape);\n  const resultReal = util.getTypedArrayFromDType('float32', resultSize);\n  const resultImag = util.getTypedArrayFromDType('float32', resultSize);\n\n  for (let b = 0; b < batch; b++) {\n    // TODO: Support slice ops for complex type.\n    const r = slice({\n      inputs: {x: real2D},\n      backend: cpuBackend,\n      attrs: {begin: [b, 0], size: [1, innerDim]}\n    });\n    const i = slice({\n      inputs: {x: imag2D},\n      backend: cpuBackend,\n      attrs: {begin: [b, 0], size: [1, innerDim]}\n    });\n\n    const input = complex({inputs: {real: r, imag: i}, backend: cpuBackend});\n\n    // Run FFT by batch element.\n    const {real, imag} = fftImpl(input, inverse, cpuBackend);\n    const res = backend_util.mergeRealAndImagArrays(real, imag);\n\n    for (let d = 0; d < innerDim; d++) {\n      const c = backend_util.getComplexWithIndex(res, d);\n      resultReal[b * innerDim + d] = c.real;\n      resultImag[b * innerDim + d] = c.imag;\n    }\n\n    cpuBackend.disposeIntermediateTensorInfo(r);\n    cpuBackend.disposeIntermediateTensorInfo(i);\n    cpuBackend.disposeIntermediateTensorInfo(input);\n  }\n\n  const $realInfo: TensorInfo =\n      cpuBackend.makeTensorInfo(resultShape, 'float32', resultReal);\n  const $imagInfo: TensorInfo =\n      cpuBackend.makeTensorInfo(resultShape, 'float32', resultImag);\n\n  const result = complex(\n      {inputs: {real: $realInfo, imag: $imagInfo}, backend: cpuBackend});\n\n  cpuBackend.disposeIntermediateTensorInfo($realInfo);\n  cpuBackend.disposeIntermediateTensorInfo($imagInfo);\n\n  return result;\n}\n\nexport function fftImpl(\n    input: TensorInfo, inverse: boolean,\n    cpuBackend: MathBackendCPU): {real: Float32Array, imag: Float32Array} {\n  const inputSize = util.sizeFromShape(input.shape);\n\n  const inputVals = cpuBackend.data.get(input.dataId);\n\n  const realVals =\n      cpuBackend.data.get(inputVals.complexTensorInfos.real.dataId).values as\n      Float32Array;\n\n  const imagVals =\n      cpuBackend.data.get(inputVals.complexTensorInfos.imag.dataId).values as\n      Float32Array;\n\n  if (isExponentOf2(inputSize)) {\n    const result =\n        fftRadix2(realVals, imagVals, inputSize, inverse, cpuBackend);\n\n    const resultShape = [input.shape[0], input.shape[1]];\n\n    if (inverse) {\n      const realInfo: TensorInfo =\n          cpuBackend.makeTensorInfo(resultShape, 'float32', result.real);\n      const imagInfo: TensorInfo =\n          cpuBackend.makeTensorInfo(resultShape, 'float32', result.imag);\n\n      const sizeInfo: TensorInfo = cpuBackend.makeTensorInfo(\n          [], 'float32',\n          util.createScalarValue(inputSize as unknown as 'float32', 'float32'));\n      const sizeInfoCopy =\n          identity({inputs: {x: sizeInfo}, backend: cpuBackend});\n\n      const divRealInfo =\n          realDivConfig.kernelFunc(\n              {inputs: {a: realInfo, b: sizeInfo}, backend: cpuBackend}) as\n          TensorInfo;\n      const divImagInfo =\n          realDivConfig.kernelFunc(\n              {inputs: {a: imagInfo, b: sizeInfoCopy}, backend: cpuBackend}) as\n          TensorInfo;\n\n      const divRealVals =\n          cpuBackend.data.get(divRealInfo.dataId).values as Float32Array;\n      const divImagVals =\n          cpuBackend.data.get(divImagInfo.dataId).values as Float32Array;\n\n      cpuBackend.disposeIntermediateTensorInfo(realInfo);\n      cpuBackend.disposeIntermediateTensorInfo(imagInfo);\n      cpuBackend.disposeIntermediateTensorInfo(sizeInfo);\n      cpuBackend.disposeIntermediateTensorInfo(sizeInfoCopy);\n      cpuBackend.disposeIntermediateTensorInfo(divRealInfo);\n      cpuBackend.disposeIntermediateTensorInfo(divImagInfo);\n\n      return {real: divRealVals, imag: divImagVals};\n    }\n\n    return result;\n  } else {\n    const data = backend_util.mergeRealAndImagArrays(realVals, imagVals);\n\n    const rawOutput =\n        fourierTransformByMatmul(data, inputSize, inverse) as Float32Array;\n\n    return backend_util.splitRealAndImagArrays(rawOutput);\n  }\n}\n\nfunction isExponentOf2(size: number): boolean {\n  return (size & size - 1) === 0;\n}\n\n// FFT using Cooley-Tukey algorithm on radix 2 dimensional input.\nfunction fftRadix2(\n    realVals: Float32Array, imagVals: Float32Array, size: number,\n    inverse: boolean,\n    cpuBackend: MathBackendCPU): {real: Float32Array, imag: Float32Array} {\n  if (size === 1) {\n    return {real: realVals, imag: imagVals};\n  }\n\n  const data = backend_util.mergeRealAndImagArrays(realVals, imagVals);\n\n  const half = size / 2;\n\n  const evenComplex = backend_util.complexWithEvenIndex(data);\n\n  const evenRealVals = evenComplex.real;\n  const evenImagVals = evenComplex.imag;\n\n  const evenShape = [evenRealVals.length];\n\n  const evenRealInfo =\n      cpuBackend.makeTensorInfo(evenShape, 'float32', evenRealVals);\n  const evenImagInfo =\n      cpuBackend.makeTensorInfo(evenShape, 'float32', evenImagVals);\n\n  const evenTensorInfo = complex(\n      {inputs: {real: evenRealInfo, imag: evenImagInfo}, backend: cpuBackend});\n\n  const oddComplex = backend_util.complexWithOddIndex(data);\n\n  const oddRealVals = oddComplex.real;\n  const oddImagVals = oddComplex.imag;\n\n  const oddShape = [oddRealVals.length];\n\n  const oddRealInfo =\n      cpuBackend.makeTensorInfo(oddShape, 'float32', oddRealVals);\n  const oddImagInfo =\n      cpuBackend.makeTensorInfo(oddShape, 'float32', oddImagVals);\n\n  const oddTensorInfo = complex(\n      {inputs: {real: oddRealInfo, imag: oddImagInfo}, backend: cpuBackend});\n\n  // Recursive call for half part of original input.\n  const $evenComplex =\n      fftRadix2(evenRealVals, evenImagVals, half, inverse, cpuBackend);\n\n  const $evenRealVals = $evenComplex.real;\n  const $evenImagVals = $evenComplex.imag;\n\n  const $evenShape = [$evenRealVals.length];\n\n  const $evenRealInfo =\n      cpuBackend.makeTensorInfo($evenShape, 'float32', $evenRealVals);\n  const $evenImagInfo =\n      cpuBackend.makeTensorInfo($evenShape, 'float32', $evenImagVals);\n\n  const $evenTensorInfo = complex({\n    inputs: {real: $evenRealInfo, imag: $evenImagInfo},\n    backend: cpuBackend\n  });\n\n  const $oddComplex =\n      fftRadix2(oddRealVals, oddImagVals, half, inverse, cpuBackend);\n\n  const $oddRealVals = $oddComplex.real;\n  const $oddImagVals = $oddComplex.imag;\n\n  const $oddShape = [$oddRealVals.length];\n\n  const $oddRealInfo =\n      cpuBackend.makeTensorInfo($oddShape, 'float32', $oddRealVals);\n  const $oddImagInfo =\n      cpuBackend.makeTensorInfo($oddShape, 'float32', $oddImagVals);\n\n  const $oddTensorInfo = complex(\n      {inputs: {real: $oddRealInfo, imag: $oddImagInfo}, backend: cpuBackend});\n\n  const e = backend_util.exponents(size, inverse);\n  const eShape = [e.real.length];\n\n  const eRealInfo = cpuBackend.makeTensorInfo(eShape, 'float32', e.real);\n  const eImagInfo = cpuBackend.makeTensorInfo(eShape, 'float32', e.imag);\n\n  const complexInfo = complex(\n      {inputs: {real: eRealInfo, imag: eImagInfo}, backend: cpuBackend});\n\n  const exponentInfo =\n      multiply(\n          {inputs: {a: complexInfo, b: $oddTensorInfo}, backend: cpuBackend}) as\n      TensorInfo;\n\n  const addPart = add({\n                    inputs: {a: $evenTensorInfo, b: exponentInfo},\n                    backend: cpuBackend\n                  }) as TensorInfo;\n  const subPart = sub({\n                    inputs: {a: $evenTensorInfo, b: exponentInfo},\n                    backend: cpuBackend\n                  }) as TensorInfo;\n\n  const addPartReal = real({inputs: {input: addPart}, backend: cpuBackend});\n  const subPartReal = real({inputs: {input: subPart}, backend: cpuBackend});\n\n  const addPartImag = imag({inputs: {input: addPart}, backend: cpuBackend});\n  const subPartImag = imag({inputs: {input: subPart}, backend: cpuBackend});\n\n  const $real = concat({\n    inputs: [addPartReal as Tensor, subPartReal as Tensor],\n    backend: cpuBackend,\n    attrs: {axis: 0}\n  });\n  const $imag = concat({\n    inputs: [addPartImag as Tensor, subPartImag as Tensor],\n    backend: cpuBackend,\n    attrs: {axis: 0}\n  });\n\n  const $realVals = cpuBackend.data.get($real.dataId).values as Float32Array;\n  const $imagVals = cpuBackend.data.get($imag.dataId).values as Float32Array;\n\n  cpuBackend.disposeIntermediateTensorInfo(evenRealInfo);\n  cpuBackend.disposeIntermediateTensorInfo(evenImagInfo);\n  cpuBackend.disposeIntermediateTensorInfo(evenTensorInfo);\n  cpuBackend.disposeIntermediateTensorInfo(oddRealInfo);\n  cpuBackend.disposeIntermediateTensorInfo(oddImagInfo);\n  cpuBackend.disposeIntermediateTensorInfo(oddTensorInfo);\n  cpuBackend.disposeIntermediateTensorInfo($evenRealInfo);\n  cpuBackend.disposeIntermediateTensorInfo($evenImagInfo);\n  cpuBackend.disposeIntermediateTensorInfo($evenTensorInfo);\n  cpuBackend.disposeIntermediateTensorInfo($oddRealInfo);\n  cpuBackend.disposeIntermediateTensorInfo($oddImagInfo);\n  cpuBackend.disposeIntermediateTensorInfo($oddTensorInfo);\n  cpuBackend.disposeIntermediateTensorInfo(eRealInfo);\n  cpuBackend.disposeIntermediateTensorInfo(eImagInfo);\n  cpuBackend.disposeIntermediateTensorInfo(complexInfo);\n  cpuBackend.disposeIntermediateTensorInfo(exponentInfo);\n  cpuBackend.disposeIntermediateTensorInfo(addPart);\n  cpuBackend.disposeIntermediateTensorInfo(subPart);\n  cpuBackend.disposeIntermediateTensorInfo(addPartReal);\n  cpuBackend.disposeIntermediateTensorInfo(addPartImag);\n  cpuBackend.disposeIntermediateTensorInfo(subPartReal);\n  cpuBackend.disposeIntermediateTensorInfo(subPartImag);\n  cpuBackend.disposeIntermediateTensorInfo($real);\n  cpuBackend.disposeIntermediateTensorInfo($imag);\n\n  return {real: $realVals, imag: $imagVals};\n}\n\n// Calculate fourier transform by multplying sinusoid matrix.\nfunction fourierTransformByMatmul(\n    data: TypedArray, size: number, inverse: boolean): TypedArray {\n  const ret = new Float32Array(size * 2);\n  // TODO: Use matmul instead once it supports complex64 type.\n  for (let r = 0; r < size; r++) {\n    let real = 0.0;\n    let imag = 0.0;\n    for (let c = 0; c < size; c++) {\n      const e = backend_util.exponent(r * c, size, inverse);\n      const term = backend_util.getComplexWithIndex(data as Float32Array, c);\n      real += term.real * e.real - term.imag * e.imag;\n      imag += term.real * e.imag + term.imag * e.real;\n    }\n    if (inverse) {\n      real /= size;\n      imag /= size;\n    }\n    backend_util.assignToTypedArray(ret, real, imag, r);\n  }\n  return ret;\n}\n"]}
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