@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
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text/typescript
/**
* @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 {TypedArray} from '../types';
/**
* Merges real and imaginary Float32Arrays into a single complex Float32Array.
*
* The memory layout is interleaved as follows:
* real: [r0, r1, r2]
* imag: [i0, i1, i2]
* complex: [r0, i0, r1, i1, r2, i2]
*
* This is the inverse of splitRealAndImagArrays.
*
* @param real The real values of the complex tensor values.
* @param imag The imag values of the complex tensor values.
* @returns A complex tensor as a Float32Array with merged values.
*/
export function mergeRealAndImagArrays(
real: Float32Array, imag: Float32Array): Float32Array {
if (real.length !== imag.length) {
throw new Error(
`Cannot merge real and imag arrays of different lengths. real:` +
`${real.length}, imag: ${imag.length}.`);
}
const result = new Float32Array(real.length * 2);
for (let i = 0; i < result.length; i += 2) {
result[i] = real[i / 2];
result[i + 1] = imag[i / 2];
}
return result;
}
/**
* Splits a complex Float32Array into real and imag parts.
*
* The memory layout is interleaved as follows:
* complex: [r0, i0, r1, i1, r2, i2]
* real: [r0, r1, r2]
* imag: [i0, i1, i2]
*
* This is the inverse of mergeRealAndImagArrays.
*
* @param complex The complex tensor values.
* @returns An object with real and imag Float32Array components of the complex
* tensor.
*/
export function splitRealAndImagArrays(complex: Float32Array):
{real: Float32Array, imag: Float32Array} {
const real = new Float32Array(complex.length / 2);
const imag = new Float32Array(complex.length / 2);
for (let i = 0; i < complex.length; i += 2) {
real[i / 2] = complex[i];
imag[i / 2] = complex[i + 1];
}
return {real, imag};
}
/**
* Extracts even indexed complex values in the given array.
* @param complex The complex tensor values
*/
export function complexWithEvenIndex(complex: Float32Array):
{real: Float32Array, imag: Float32Array} {
const len = Math.ceil(complex.length / 4);
const real = new Float32Array(len);
const imag = new Float32Array(len);
for (let i = 0; i < complex.length; i += 4) {
real[Math.floor(i / 4)] = complex[i];
imag[Math.floor(i / 4)] = complex[i + 1];
}
return {real, imag};
}
/**
* Extracts odd indexed comple values in the given array.
* @param complex The complex tensor values
*/
export function complexWithOddIndex(complex: Float32Array):
{real: Float32Array, imag: Float32Array} {
const len = Math.floor(complex.length / 4);
const real = new Float32Array(len);
const imag = new Float32Array(len);
for (let i = 2; i < complex.length; i += 4) {
real[Math.floor(i / 4)] = complex[i];
imag[Math.floor(i / 4)] = complex[i + 1];
}
return {real, imag};
}
/**
* Get the map representing a complex value in the given array.
* @param complex The complex tensor values.
* @param index An index of the target complex value.
*/
export function getComplexWithIndex(
complex: Float32Array, index: number): {real: number, imag: number} {
const real = complex[index * 2];
const imag = complex[index * 2 + 1];
return {real, imag};
}
/**
* Insert a given complex value into the TypedArray.
* @param data The array in which the complex value is inserted.
* @param c The complex value to be inserted.
* @param index An index of the target complex value.
*/
export function assignToTypedArray(
data: TypedArray, real: number, imag: number, index: number) {
data[index * 2] = real;
data[index * 2 + 1] = imag;
}
/**
* Make the list of exponent terms used by FFT.
*/
export function exponents(
n: number, inverse: boolean): {real: Float32Array, imag: Float32Array} {
const real = new Float32Array(n / 2);
const imag = new Float32Array(n / 2);
for (let i = 0; i < Math.ceil(n / 2); i++) {
const x = (inverse ? 2 : -2) * Math.PI * (i / n);
real[i] = Math.cos(x);
imag[i] = Math.sin(x);
}
return {real, imag};
}
/**
* Make the exponent term used by FFT.
*/
export function exponent(
k: number, n: number, inverse: boolean): {real: number, imag: number} {
const x = (inverse ? 2 : -2) * Math.PI * (k / n);
const real = Math.cos(x);
const imag = Math.sin(x);
return {real, imag};
}