"use strict";
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/**
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* @license
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* Copyright 2018 Google Inc. 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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var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) {
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return new (P || (P = Promise))(function (resolve, reject) {
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function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } }
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function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } }
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function step(result) { result.done ? resolve(result.value) : new P(function (resolve) { resolve(result.value); }).then(fulfilled, rejected); }
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step((generator = generator.apply(thisArg, _arguments || [])).next());
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});
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};
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var __generator = (this && this.__generator) || function (thisArg, body) {
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var _ = { label: 0, sent: function() { if (t[0] & 1) throw t[1]; return t[1]; }, trys: [], ops: [] }, f, y, t, g;
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return g = { next: verb(0), "throw": verb(1), "return": verb(2) }, typeof Symbol === "function" && (g[Symbol.iterator] = function() { return this; }), g;
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function verb(n) { return function (v) { return step([n, v]); }; }
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function step(op) {
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if (f) throw new TypeError("Generator is already executing.");
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while (_) try {
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if (f = 1, y && (t = op[0] & 2 ? y["return"] : op[0] ? y["throw"] || ((t = y["return"]) && t.call(y), 0) : y.next) && !(t = t.call(y, op[1])).done) return t;
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if (y = 0, t) op = [op[0] & 2, t.value];
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switch (op[0]) {
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case 0: case 1: t = op; break;
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case 4: _.label++; return { value: op[1], done: false };
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case 5: _.label++; y = op[1]; op = [0]; continue;
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case 7: op = _.ops.pop(); _.trys.pop(); continue;
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default:
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if (!(t = _.trys, t = t.length > 0 && t[t.length - 1]) && (op[0] === 6 || op[0] === 2)) { _ = 0; continue; }
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if (op[0] === 3 && (!t || (op[1] > t[0] && op[1] < t[3]))) { _.label = op[1]; break; }
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if (op[0] === 6 && _.label < t[1]) { _.label = t[1]; t = op; break; }
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if (t && _.label < t[2]) { _.label = t[2]; _.ops.push(op); break; }
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if (t[2]) _.ops.pop();
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_.trys.pop(); continue;
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}
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op = body.call(thisArg, _);
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} catch (e) { op = [6, e]; y = 0; } finally { f = t = 0; }
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if (op[0] & 5) throw op[1]; return { value: op[0] ? op[1] : void 0, done: true };
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}
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};
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var _this = this;
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Object.defineProperty(exports, "__esModule", { value: true });
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var tf = require("../index");
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var jasmine_util_1 = require("../jasmine_util");
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var test_util_1 = require("../test_util");
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jasmine_util_1.describeWithFlags('1D FFT', jasmine_util_1.ALL_ENVS, function () {
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it('should return the same value with TensorFlow (2 elements)', function () { return __awaiter(_this, void 0, void 0, function () {
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var t1Real, t1Imag, t1, _a;
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return __generator(this, function (_b) {
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switch (_b.label) {
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case 0:
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t1Real = tf.tensor1d([1, 2]);
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t1Imag = tf.tensor1d([1, 1]);
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t1 = tf.complex(t1Real, t1Imag);
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_a = test_util_1.expectArraysClose;
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return [4 /*yield*/, tf.spectral.fft(t1).data()];
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case 1:
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_a.apply(void 0, [_b.sent(), [3, 2, -1, 0]]);
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return [2 /*return*/];
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}
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});
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}); });
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it('should calculate FFT from Tensor directly', function () { return __awaiter(_this, void 0, void 0, function () {
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var t1Real, t1Imag, t1, _a;
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return __generator(this, function (_b) {
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switch (_b.label) {
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case 0:
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t1Real = tf.tensor1d([1, 2]);
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t1Imag = tf.tensor1d([1, 1]);
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t1 = tf.complex(t1Real, t1Imag);
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_a = test_util_1.expectArraysClose;
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return [4 /*yield*/, t1.fft().data()];
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case 1:
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_a.apply(void 0, [_b.sent(), [3, 2, -1, 0]]);
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return [2 /*return*/];
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}
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});
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}); });
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it('should return the same value as TensorFlow (3 elements)', function () { return __awaiter(_this, void 0, void 0, function () {
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var t1Real, t1Imag, t1, _a;
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return __generator(this, function (_b) {
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switch (_b.label) {
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case 0:
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t1Real = tf.tensor1d([1, 2, 3]);
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t1Imag = tf.tensor1d([0, 0, 0]);
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t1 = tf.complex(t1Real, t1Imag);
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_a = test_util_1.expectArraysClose;
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return [4 /*yield*/, tf.spectral.fft(t1).data()];
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case 1:
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_a.apply(void 0, [_b.sent(),
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[6, 0, -1.5, 0.866025, -1.5, -0.866025]]);
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return [2 /*return*/];
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}
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});
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}); });
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it('should return the same value as TensorFlow with imaginary (3 elements)', function () { return __awaiter(_this, void 0, void 0, function () {
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var t1Real, t1Imag, t1, _a;
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return __generator(this, function (_b) {
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switch (_b.label) {
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case 0:
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t1Real = tf.tensor1d([1, 2, 3]);
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t1Imag = tf.tensor1d([1, 2, 3]);
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t1 = tf.complex(t1Real, t1Imag);
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_a = test_util_1.expectArraysClose;
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return [4 /*yield*/, tf.spectral.fft(t1).data()];
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case 1:
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_a.apply(void 0, [_b.sent(),
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[6, 6, -2.3660252, -0.63397473, -0.6339747, -2.3660254]]);
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return [2 /*return*/];
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}
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});
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}); });
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it('should return the same value as TensorFlow (negative 3 elements)', function () { return __awaiter(_this, void 0, void 0, function () {
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var t1Real, t1Imag, t1, _a;
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return __generator(this, function (_b) {
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switch (_b.label) {
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case 0:
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t1Real = tf.tensor1d([-1, -2, -3]);
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t1Imag = tf.tensor1d([-1, -2, -3]);
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t1 = tf.complex(t1Real, t1Imag);
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_a = test_util_1.expectArraysClose;
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return [4 /*yield*/, tf.spectral.fft(t1).data()];
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case 1:
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_a.apply(void 0, [_b.sent(),
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[-5.9999995, -6, 2.3660252, 0.63397473, 0.6339747, 2.3660254]]);
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return [2 /*return*/];
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}
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});
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}); });
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it('should return the same value with TensorFlow (4 elements)', function () { return __awaiter(_this, void 0, void 0, function () {
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var t1Real, t1Imag, t1, _a;
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return __generator(this, function (_b) {
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switch (_b.label) {
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case 0:
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t1Real = tf.tensor1d([1, 2, 3, 4]);
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t1Imag = tf.tensor1d([0, 0, 0, 0]);
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t1 = tf.complex(t1Real, t1Imag);
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_a = test_util_1.expectArraysClose;
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return [4 /*yield*/, tf.spectral.fft(t1).data()];
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case 1:
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_a.apply(void 0, [_b.sent(), [10, 0, -2, 2, -2, 0, -2, -2]]);
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return [2 /*return*/];
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}
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});
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}); });
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it('should return the same value as TensorFlow with imaginary (4 elements)', function () { return __awaiter(_this, void 0, void 0, function () {
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var t1Real, t1Imag, t1, _a;
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return __generator(this, function (_b) {
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switch (_b.label) {
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case 0:
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t1Real = tf.tensor1d([1, 2, 3, 4]);
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t1Imag = tf.tensor1d([1, 2, 3, 4]);
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t1 = tf.complex(t1Real, t1Imag);
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_a = test_util_1.expectArraysClose;
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return [4 /*yield*/, tf.spectral.fft(t1).data()];
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case 1:
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_a.apply(void 0, [_b.sent(), [10, 10, -4, 0, -2, -2, 0, -4]]);
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return [2 /*return*/];
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}
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});
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}); });
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});
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jasmine_util_1.describeWithFlags('2D FFT', jasmine_util_1.ALL_ENVS, function () {
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it('2D: should return the same value as TensorFlow', function () { return __awaiter(_this, void 0, void 0, function () {
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var t1Real, t1Imag, t1, y, _a;
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return __generator(this, function (_b) {
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switch (_b.label) {
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case 0:
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t1Real = tf.tensor2d([1, 2, 3, 4], [2, 2]);
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t1Imag = tf.tensor2d([5, 6, 7, 8], [2, 2]);
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t1 = tf.complex(t1Real, t1Imag);
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y = tf.spectral.fft(t1);
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_a = test_util_1.expectArraysClose;
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return [4 /*yield*/, y.data()];
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case 1:
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_a.apply(void 0, [_b.sent(), [3, 11, -1, -1, 7, 15, -1, -1]]);
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expect(y.shape).toEqual(t1Real.shape);
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return [2 /*return*/];
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}
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});
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}); });
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it('3D: should return the same value as TensorFlow', function () { return __awaiter(_this, void 0, void 0, function () {
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var t1Real, t1Imag, t1, y, _a;
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return __generator(this, function (_b) {
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switch (_b.label) {
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case 0:
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t1Real = tf.tensor3d([1, 2, 3, 4, -1, -2, -3, -4], [2, 2, 2]);
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t1Imag = tf.tensor3d([5, 6, 7, 8, -5, -6, -7, -8], [2, 2, 2]);
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t1 = tf.complex(t1Real, t1Imag);
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y = tf.spectral.fft(t1);
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_a = test_util_1.expectArraysClose;
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return [4 /*yield*/, y.data()];
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case 1:
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_a.apply(void 0, [_b.sent(),
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[3, 11, -1, -1, 7, 15, -1, -1, -3, -11, 1, 1, -7, -15, 1, 1]]);
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expect(y.shape).toEqual(t1Real.shape);
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return [2 /*return*/];
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}
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});
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}); });
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});
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jasmine_util_1.describeWithFlags('1D IFFT', jasmine_util_1.ALL_ENVS, function () {
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it('should return the same value with TensorFlow (2 elements)', function () { return __awaiter(_this, void 0, void 0, function () {
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var t1Real, t1Imag, t1, _a;
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return __generator(this, function (_b) {
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switch (_b.label) {
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case 0:
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t1Real = tf.tensor1d([1, 2]);
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t1Imag = tf.tensor1d([1, 1]);
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t1 = tf.complex(t1Real, t1Imag);
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_a = test_util_1.expectArraysClose;
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return [4 /*yield*/, tf.spectral.ifft(t1).data()];
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case 1:
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_a.apply(void 0, [_b.sent(), [1.5, 1, -0.5, 0]]);
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return [2 /*return*/];
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}
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});
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}); });
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it('should calculate FFT from Tensor directly', function () { return __awaiter(_this, void 0, void 0, function () {
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var t1Real, t1Imag, t1, _a;
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return __generator(this, function (_b) {
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switch (_b.label) {
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case 0:
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t1Real = tf.tensor1d([1, 2]);
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t1Imag = tf.tensor1d([1, 1]);
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t1 = tf.complex(t1Real, t1Imag);
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_a = test_util_1.expectArraysClose;
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return [4 /*yield*/, t1.ifft().data()];
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case 1:
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_a.apply(void 0, [_b.sent(), [1.5, 1, -0.5, 0]]);
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return [2 /*return*/];
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}
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});
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}); });
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it('should return the same value as TensorFlow (3 elements)', function () { return __awaiter(_this, void 0, void 0, function () {
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var t1Real, t1Imag, t1, _a;
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return __generator(this, function (_b) {
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switch (_b.label) {
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case 0:
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t1Real = tf.tensor1d([1, 2, 3]);
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t1Imag = tf.tensor1d([0, 0, 0]);
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t1 = tf.complex(t1Real, t1Imag);
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_a = test_util_1.expectArraysClose;
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return [4 /*yield*/, tf.spectral.ifft(t1).data()];
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case 1:
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_a.apply(void 0, [_b.sent(), [
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2, -3.9736431e-08, -0.49999997, -.28867507, -0.49999994, 2.8867519e-01
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]]);
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return [2 /*return*/];
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}
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});
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}); });
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it('should return the same value as TensorFlow with imaginary (3 elements)', function () { return __awaiter(_this, void 0, void 0, function () {
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var t1Real, t1Imag, t1, _a;
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return __generator(this, function (_b) {
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switch (_b.label) {
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case 0:
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t1Real = tf.tensor1d([1, 2, 3]);
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t1Imag = tf.tensor1d([1, 2, 3]);
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t1 = tf.complex(t1Real, t1Imag);
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_a = test_util_1.expectArraysClose;
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return [4 /*yield*/, tf.spectral.ifft(t1).data()];
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case 1:
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_a.apply(void 0, [_b.sent(),
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[2, 1.9999999, -0.21132492, -0.78867507, -0.7886752, -0.2113249]]);
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return [2 /*return*/];
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}
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});
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}); });
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it('should return the same value as TensorFlow (negative 3 elements)', function () { return __awaiter(_this, void 0, void 0, function () {
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var t1Real, t1Imag, t1, _a;
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return __generator(this, function (_b) {
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switch (_b.label) {
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case 0:
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t1Real = tf.tensor1d([-1, -2, -3]);
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t1Imag = tf.tensor1d([-1, -2, -3]);
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t1 = tf.complex(t1Real, t1Imag);
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_a = test_util_1.expectArraysClose;
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return [4 /*yield*/, tf.spectral.ifft(t1).data()];
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case 1:
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_a.apply(void 0, [_b.sent(),
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[-2, -1.9999999, 0.21132492, 0.78867507, 0.7886752, 0.2113249]]);
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return [2 /*return*/];
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}
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});
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}); });
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it('should return the same value with TensorFlow (4 elements)', function () { return __awaiter(_this, void 0, void 0, function () {
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var t1Real, t1Imag, t1, _a;
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return __generator(this, function (_b) {
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switch (_b.label) {
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case 0:
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t1Real = tf.tensor1d([1, 2, 3, 4]);
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t1Imag = tf.tensor1d([0, 0, 0, 0]);
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t1 = tf.complex(t1Real, t1Imag);
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_a = test_util_1.expectArraysClose;
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return [4 /*yield*/, tf.spectral.ifft(t1).data()];
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case 1:
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_a.apply(void 0, [_b.sent(),
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[2.5, 0, -0.5, -0.5, -0.5, 0, -0.5, 0.5]]);
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return [2 /*return*/];
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}
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});
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}); });
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it('should return the same value as TensorFlow with imaginary (4 elements)', function () { return __awaiter(_this, void 0, void 0, function () {
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var t1Real, t1Imag, t1, _a;
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return __generator(this, function (_b) {
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switch (_b.label) {
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case 0:
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t1Real = tf.tensor1d([1, 2, 3, 4]);
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t1Imag = tf.tensor1d([1, 2, 3, 4]);
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t1 = tf.complex(t1Real, t1Imag);
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_a = test_util_1.expectArraysClose;
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return [4 /*yield*/, tf.spectral.ifft(t1).data()];
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case 1:
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_a.apply(void 0, [_b.sent(),
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[2.5, 2.5, 0, -1, -0.5, -0.5, -1, 0]]);
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return [2 /*return*/];
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}
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});
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}); });
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});
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jasmine_util_1.describeWithFlags('2D IFFT', jasmine_util_1.ALL_ENVS, function () {
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it('2D: should return the same value as TensorFlow', function () { return __awaiter(_this, void 0, void 0, function () {
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var t1Real, t1Imag, t1, y, _a;
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return __generator(this, function (_b) {
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switch (_b.label) {
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case 0:
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t1Real = tf.tensor2d([1, 2, 3, 4], [2, 2]);
|
t1Imag = tf.tensor2d([5, 6, 7, 8], [2, 2]);
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t1 = tf.complex(t1Real, t1Imag);
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y = tf.spectral.ifft(t1);
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_a = test_util_1.expectArraysClose;
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return [4 /*yield*/, y.data()];
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case 1:
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_a.apply(void 0, [_b.sent(), [1.5, 5.5, -0.5, -0.5, 3.5, 7.5, -0.5, -0.5]]);
|
expect(y.shape).toEqual(t1Real.shape);
|
return [2 /*return*/];
|
}
|
});
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}); });
|
it('3D: should return the same value as TensorFlow', function () { return __awaiter(_this, void 0, void 0, function () {
|
var t1Real, t1Imag, t1, y, _a;
|
return __generator(this, function (_b) {
|
switch (_b.label) {
|
case 0:
|
t1Real = tf.tensor3d([1, 2, 3, 4, -1, -2, -3, -4], [2, 2, 2]);
|
t1Imag = tf.tensor3d([5, 6, 7, 8, -5, -6, -7, -8], [2, 2, 2]);
|
t1 = tf.complex(t1Real, t1Imag);
|
y = tf.spectral.ifft(t1);
|
_a = test_util_1.expectArraysClose;
|
return [4 /*yield*/, y.data()];
|
case 1:
|
_a.apply(void 0, [_b.sent(), [
|
1.5, 5.5, -0.5, -0.5, 3.5, 7.5, -0.5, -0.5, -1.5, -5.5, 0.5, 0.5, -3.5,
|
-7.5, 0.5, 0.5
|
]]);
|
expect(y.shape).toEqual(t1Real.shape);
|
return [2 /*return*/];
|
}
|
});
|
}); });
|
});
|
jasmine_util_1.describeWithFlags('1D RFFT', jasmine_util_1.ALL_ENVS, function () {
|
it('should return the same value with TensorFlow (3 elements)', function () { return __awaiter(_this, void 0, void 0, function () {
|
var t1Real, _a;
|
return __generator(this, function (_b) {
|
switch (_b.label) {
|
case 0:
|
t1Real = tf.tensor1d([1, 2, 3]);
|
_a = test_util_1.expectArraysClose;
|
return [4 /*yield*/, tf.spectral.rfft(t1Real).data()];
|
case 1:
|
_a.apply(void 0, [_b.sent(),
|
[6, 1.1920929e-07, -1.4999999, 8.6602521e-01]]);
|
return [2 /*return*/];
|
}
|
});
|
}); });
|
it('should calculate from tensor directly', function () { return __awaiter(_this, void 0, void 0, function () {
|
var t1Real, _a;
|
return __generator(this, function (_b) {
|
switch (_b.label) {
|
case 0:
|
t1Real = tf.tensor1d([1, 2, 3]);
|
_a = test_util_1.expectArraysClose;
|
return [4 /*yield*/, t1Real.rfft().data()];
|
case 1:
|
_a.apply(void 0, [_b.sent(),
|
[6, 1.1920929e-07, -1.4999999, 8.6602521e-01]]);
|
return [2 /*return*/];
|
}
|
});
|
}); });
|
it('should return the same value with TensorFlow (6 elements)', function () { return __awaiter(_this, void 0, void 0, function () {
|
var t1Real, _a;
|
return __generator(this, function (_b) {
|
switch (_b.label) {
|
case 0:
|
t1Real = tf.tensor1d([-3, -2, -1, 1, 2, 3]);
|
_a = test_util_1.expectArraysClose;
|
return [4 /*yield*/, tf.spectral.rfft(t1Real).data()];
|
case 1:
|
_a.apply(void 0, [_b.sent(), [
|
-5.8859587e-07, 1.1920929e-07, -3.9999995, 6.9282026e+00, -2.9999998,
|
1.7320497, -4.0000000, -2.3841858e-07
|
]]);
|
return [2 /*return*/];
|
}
|
});
|
}); });
|
it('should return the same value without any fftLength', function () { return __awaiter(_this, void 0, void 0, function () {
|
var t1Real, fftLength, _a;
|
return __generator(this, function (_b) {
|
switch (_b.label) {
|
case 0:
|
t1Real = tf.tensor1d([-3, -2, -1, 1, 2, 3]);
|
fftLength = 6;
|
_a = test_util_1.expectArraysClose;
|
return [4 /*yield*/, tf.spectral.rfft(t1Real, fftLength).data()];
|
case 1:
|
_a.apply(void 0, [_b.sent(), [
|
-5.8859587e-07, 1.1920929e-07, -3.9999995, 6.9282026e+00, -2.9999998,
|
1.7320497, -4.0000000, -2.3841858e-07
|
]]);
|
return [2 /*return*/];
|
}
|
});
|
}); });
|
it('should return the value with cropped input', function () { return __awaiter(_this, void 0, void 0, function () {
|
var t1Real, fftLength, _a;
|
return __generator(this, function (_b) {
|
switch (_b.label) {
|
case 0:
|
t1Real = tf.tensor1d([-3, -2, -1, 1, 2, 3]);
|
fftLength = 3;
|
_a = test_util_1.expectArraysClose;
|
return [4 /*yield*/, tf.spectral.rfft(t1Real, fftLength).data()];
|
case 1:
|
_a.apply(void 0, [_b.sent(),
|
[-6, 0.0, -1.5000002, 0.866]]);
|
return [2 /*return*/];
|
}
|
});
|
}); });
|
it('should return the value with padded input', function () { return __awaiter(_this, void 0, void 0, function () {
|
var t1Real, fftLength, _a;
|
return __generator(this, function (_b) {
|
switch (_b.label) {
|
case 0:
|
t1Real = tf.tensor1d([-3, -2, -1]);
|
fftLength = 4;
|
_a = test_util_1.expectArraysClose;
|
return [4 /*yield*/, tf.spectral.rfft(t1Real, fftLength).data()];
|
case 1:
|
_a.apply(void 0, [_b.sent(),
|
[-6, 0, -2, 2, -2, 0]]);
|
return [2 /*return*/];
|
}
|
});
|
}); });
|
});
|
jasmine_util_1.describeWithFlags('2D RFFT', jasmine_util_1.ALL_ENVS, function () {
|
it('should return the same value with TensorFlow (2x2 elements)', function () { return __awaiter(_this, void 0, void 0, function () {
|
var t1Real, _a;
|
return __generator(this, function (_b) {
|
switch (_b.label) {
|
case 0:
|
t1Real = tf.tensor2d([1, 2, 3, 4], [2, 2]);
|
_a = test_util_1.expectArraysClose;
|
return [4 /*yield*/, tf.spectral.rfft(t1Real).data()];
|
case 1:
|
_a.apply(void 0, [_b.sent(), [3, 0, -1, 0, 7, 0, -1, 0]]);
|
return [2 /*return*/];
|
}
|
});
|
}); });
|
it('should return the same value with TensorFlow (2x3 elements)', function () { return __awaiter(_this, void 0, void 0, function () {
|
var t1Real, _a;
|
return __generator(this, function (_b) {
|
switch (_b.label) {
|
case 0:
|
t1Real = tf.tensor2d([1, 2, 3, 4, 5, 6], [2, 3]);
|
_a = test_util_1.expectArraysClose;
|
return [4 /*yield*/, tf.spectral.rfft(t1Real).data()];
|
case 1:
|
_a.apply(void 0, [_b.sent(), [
|
6, 1.1920929e-07, -1.4999999, 8.6602521e-01, 15, -5.9604645e-08,
|
-1.4999998, 8.6602545e-01
|
]]);
|
return [2 /*return*/];
|
}
|
});
|
}); });
|
it('should return the same value with TensorFlow (2x2x2 elements)', function () { return __awaiter(_this, void 0, void 0, function () {
|
var t1Real, _a;
|
return __generator(this, function (_b) {
|
switch (_b.label) {
|
case 0:
|
t1Real = tf.tensor3d([1, 2, 3, 4, 5, 6, 7, 8], [2, 2, 2]);
|
_a = test_util_1.expectArraysClose;
|
return [4 /*yield*/, tf.spectral.rfft(t1Real).data()];
|
case 1:
|
_a.apply(void 0, [_b.sent(),
|
[3, 0, -1, 0, 7, 0, -1, 0, 11, 0, -1, 0, 15, 0, -1, 0]]);
|
return [2 /*return*/];
|
}
|
});
|
}); });
|
it('should return the value with cropping', function () { return __awaiter(_this, void 0, void 0, function () {
|
var t1Real, fftLength, _a;
|
return __generator(this, function (_b) {
|
switch (_b.label) {
|
case 0:
|
t1Real = tf.tensor2d([1, 2, 3, 4, 5, 6], [2, 3]);
|
fftLength = 2;
|
_a = test_util_1.expectArraysClose;
|
return [4 /*yield*/, tf.spectral.rfft(t1Real, fftLength).data()];
|
case 1:
|
_a.apply(void 0, [_b.sent(),
|
[3, 0, -1, 0, 9, 0, -1, 0]]);
|
return [2 /*return*/];
|
}
|
});
|
}); });
|
it('should return the value with padding', function () { return __awaiter(_this, void 0, void 0, function () {
|
var t1Real, fftLength, _a;
|
return __generator(this, function (_b) {
|
switch (_b.label) {
|
case 0:
|
t1Real = tf.tensor2d([1, 2, 3, 4, 5, 6], [2, 3]);
|
fftLength = 4;
|
_a = test_util_1.expectArraysClose;
|
return [4 /*yield*/, tf.spectral.rfft(t1Real, fftLength).data()];
|
case 1:
|
_a.apply(void 0, [_b.sent(),
|
[6, 0, -2, -2, 2, 0, 15, 0, -2, -5, 5, 0]]);
|
return [2 /*return*/];
|
}
|
});
|
}); });
|
});
|
jasmine_util_1.describeWithFlags('1D IRFFT', jasmine_util_1.ALL_ENVS, function () {
|
it('should return the same value with TensorFlow (2 elements)', function () { return __awaiter(_this, void 0, void 0, function () {
|
var t1Real, t1Imag, t1, _a;
|
return __generator(this, function (_b) {
|
switch (_b.label) {
|
case 0:
|
t1Real = tf.tensor1d([1, 2]);
|
t1Imag = tf.tensor1d([0, 0]);
|
t1 = tf.complex(t1Real, t1Imag);
|
_a = test_util_1.expectArraysClose;
|
return [4 /*yield*/, tf.spectral.irfft(t1).data()];
|
case 1:
|
_a.apply(void 0, [_b.sent(), [1.5, -0.5]]);
|
return [2 /*return*/];
|
}
|
});
|
}); });
|
it('should calculate from the tensor directly', function () { return __awaiter(_this, void 0, void 0, function () {
|
var t1Real, t1Imag, t1, _a;
|
return __generator(this, function (_b) {
|
switch (_b.label) {
|
case 0:
|
t1Real = tf.tensor1d([1, 2]);
|
t1Imag = tf.tensor1d([0, 0]);
|
t1 = tf.complex(t1Real, t1Imag);
|
_a = test_util_1.expectArraysClose;
|
return [4 /*yield*/, t1.irfft().data()];
|
case 1:
|
_a.apply(void 0, [_b.sent(), [1.5, -0.5]]);
|
return [2 /*return*/];
|
}
|
});
|
}); });
|
it('should return the same value with TensorFlow (5 elements)', function () { return __awaiter(_this, void 0, void 0, function () {
|
var t1Real, t1Imag, t1, _a;
|
return __generator(this, function (_b) {
|
switch (_b.label) {
|
case 0:
|
t1Real = tf.tensor1d([1, 2, 3, 4, 5]);
|
t1Imag = tf.tensor1d([0, 0, 0, 0, 0]);
|
t1 = tf.complex(t1Real, t1Imag);
|
_a = test_util_1.expectArraysClose;
|
return [4 /*yield*/, tf.spectral.irfft(t1).data()];
|
case 1:
|
_a.apply(void 0, [_b.sent(),
|
[3, -0.8535534, 0, -0.14644662, 0, -0.14644662, 0, -0.8535534]]);
|
return [2 /*return*/];
|
}
|
});
|
}); });
|
it('should return the same value with TensorFlow (5 elements) with imag', function () { return __awaiter(_this, void 0, void 0, function () {
|
var t1Real, t1Imag, t1, _a;
|
return __generator(this, function (_b) {
|
switch (_b.label) {
|
case 0:
|
t1Real = tf.tensor1d([1, 2, 3, 4, 5]);
|
t1Imag = tf.tensor1d([1, 2, 3, 4, 5]);
|
t1 = tf.complex(t1Real, t1Imag);
|
_a = test_util_1.expectArraysClose;
|
return [4 /*yield*/, tf.spectral.irfft(t1).data()];
|
case 1:
|
_a.apply(void 0, [_b.sent(),
|
[3, -2.6642137, 0.5, -0.45710677, 0, 0.16421354, -0.5, 0.95710677]]);
|
return [2 /*return*/];
|
}
|
});
|
}); });
|
});
|
jasmine_util_1.describeWithFlags('2D IRFFT', jasmine_util_1.ALL_ENVS, function () {
|
it('should return the same value with TensorFlow (2x2 elements)', function () { return __awaiter(_this, void 0, void 0, function () {
|
var t1Real, t1Imag, t1, _a;
|
return __generator(this, function (_b) {
|
switch (_b.label) {
|
case 0:
|
t1Real = tf.tensor2d([1, 2, 3, 4], [2, 2]);
|
t1Imag = tf.tensor2d([0, 0, 0, 0], [2, 2]);
|
t1 = tf.complex(t1Real, t1Imag);
|
_a = test_util_1.expectArraysClose;
|
return [4 /*yield*/, tf.spectral.irfft(t1).data()];
|
case 1:
|
_a.apply(void 0, [_b.sent(), [1.5, -0.5, 3.5, -0.5]]);
|
return [2 /*return*/];
|
}
|
});
|
}); });
|
it('should return the same value with TensorFlow (2x3 elements)', function () { return __awaiter(_this, void 0, void 0, function () {
|
var t1Real, t1Imag, t1, _a;
|
return __generator(this, function (_b) {
|
switch (_b.label) {
|
case 0:
|
t1Real = tf.tensor2d([1, 2, 3, 4, 5, 6], [2, 3]);
|
t1Imag = tf.tensor2d([0, 0, 0, 0, 0, 0], [2, 3]);
|
t1 = tf.complex(t1Real, t1Imag);
|
_a = test_util_1.expectArraysClose;
|
return [4 /*yield*/, tf.spectral.irfft(t1).data()];
|
case 1:
|
_a.apply(void 0, [_b.sent(),
|
[2, -0.5, 0, -0.5, 5, -0.5, 0, -0.5]]);
|
return [2 /*return*/];
|
}
|
});
|
}); });
|
it('should return the same value with TensorFlow (2x3 elements) with imag', function () { return __awaiter(_this, void 0, void 0, function () {
|
var t1Real, t1Imag, t1, _a;
|
return __generator(this, function (_b) {
|
switch (_b.label) {
|
case 0:
|
t1Real = tf.tensor2d([1, 2, 3, 4, 5, 6], [2, 3]);
|
t1Imag = tf.tensor2d([1, 2, 3, 4, 5, 6], [2, 3]);
|
t1 = tf.complex(t1Real, t1Imag);
|
_a = test_util_1.expectArraysClose;
|
return [4 /*yield*/, tf.spectral.irfft(t1).data()];
|
case 1:
|
_a.apply(void 0, [_b.sent(), [2, -1.5, 0, 0.5, 5, -3, 0, 2]]);
|
return [2 /*return*/];
|
}
|
});
|
}); });
|
});
|
jasmine_util_1.describeWithFlags('3D IRFFT', jasmine_util_1.ALL_ENVS, function () {
|
it('should return the same value with TensorFlow (2x2x2 elements)', function () { return __awaiter(_this, void 0, void 0, function () {
|
var t1Real, t1Imag, t1, _a;
|
return __generator(this, function (_b) {
|
switch (_b.label) {
|
case 0:
|
t1Real = tf.tensor3d([1, 2, 3, 4, 1, 2, 3, 4], [2, 2, 2]);
|
t1Imag = tf.tensor3d([0, 0, 0, 0, 0, 0, 0, 0], [2, 2, 2]);
|
t1 = tf.complex(t1Real, t1Imag);
|
_a = test_util_1.expectArraysClose;
|
return [4 /*yield*/, tf.spectral.irfft(t1).data()];
|
case 1:
|
_a.apply(void 0, [_b.sent(),
|
[1.5, -0.5, 3.5, -0.5, 1.5, -0.5, 3.5, -0.5]]);
|
return [2 /*return*/];
|
}
|
});
|
}); });
|
it('should return the same value with TensorFlow (2x2x3 elements)', function () { return __awaiter(_this, void 0, void 0, function () {
|
var t1Real, t1Imag, t1, _a;
|
return __generator(this, function (_b) {
|
switch (_b.label) {
|
case 0:
|
t1Real = tf.tensor3d([1, 2, 3, 4, 5, 6, 1, 2, 3, 4, 5, 6], [2, 2, 3]);
|
t1Imag = tf.tensor3d([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2, 2, 3]);
|
t1 = tf.complex(t1Real, t1Imag);
|
_a = test_util_1.expectArraysClose;
|
return [4 /*yield*/, tf.spectral.irfft(t1).data()];
|
case 1:
|
_a.apply(void 0, [_b.sent(), [
|
2, -0.5, 0, -0.5, 5, -0.5, 0, -0.5, 2, -0.5, 0, -0.5, 5, -0.5, 0, -0.5
|
]]);
|
return [2 /*return*/];
|
}
|
});
|
}); });
|
it('should return the same value with TensorFlow (2x2x3 elements) with imag', function () { return __awaiter(_this, void 0, void 0, function () {
|
var t1Real, t1Imag, t1, _a;
|
return __generator(this, function (_b) {
|
switch (_b.label) {
|
case 0:
|
t1Real = tf.tensor3d([1, 2, 3, 4, 5, 6, 1, 2, 3, 4, 5, 6], [2, 2, 3]);
|
t1Imag = tf.tensor3d([1, 2, 3, 4, 5, 6, 1, 2, 3, 4, 5, 6], [2, 2, 3]);
|
t1 = tf.complex(t1Real, t1Imag);
|
_a = test_util_1.expectArraysClose;
|
return [4 /*yield*/, tf.spectral.irfft(t1).data()];
|
case 1:
|
_a.apply(void 0, [_b.sent(),
|
[2, -1.5, 0, 0.5, 5, -3, 0, 2, 2, -1.5, 0, 0.5, 5, -3, 0, 2]]);
|
return [2 /*return*/];
|
}
|
});
|
}); });
|
});
|
//# sourceMappingURL=spectral_ops_test.js.map
|
