"use strict";
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/**
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* @license
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* Copyright 2018 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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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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var tensor_ops_1 = require("./tensor_ops");
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jasmine_util_1.describeWithFlags('inTopKAsync', jasmine_util_1.ALL_ENVS, function () { return __awaiter(_this, void 0, void 0, function () {
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var _this = this;
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return __generator(this, function (_a) {
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it('predictions 2d array, targets 1d array, with default k', function () { return __awaiter(_this, void 0, void 0, function () {
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var predictions, targets, precision, _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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predictions = tensor_ops_1.tensor2d([[20, 10, 40, 30], [30, 50, -20, 10]]);
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targets = tensor_ops_1.tensor1d([2, 0]);
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return [4 /*yield*/, tf.inTopKAsync(predictions, targets)];
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case 1:
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precision = _b.sent();
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expect(precision.shape).toEqual([2]);
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expect(precision.dtype).toBe('bool');
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_a = test_util_1.expectArraysClose;
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return [4 /*yield*/, precision.data()];
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case 2:
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_a.apply(void 0, [_b.sent(), [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('predictions 2d array, targets 1d array, with k=2', function () { return __awaiter(_this, void 0, void 0, function () {
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var predictions, targets, k, precision, _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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predictions = tensor_ops_1.tensor2d([[20, 10, 40, 30], [30, 50, -20, 10]]);
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targets = tensor_ops_1.tensor1d([2, 0]);
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k = 2;
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return [4 /*yield*/, tf.inTopKAsync(predictions, targets, k)];
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case 1:
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precision = _b.sent();
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expect(precision.shape).toEqual([2]);
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expect(precision.dtype).toBe('bool');
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_a = test_util_1.expectArraysClose;
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return [4 /*yield*/, precision.data()];
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case 2:
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_a.apply(void 0, [_b.sent(), [1, 1]]);
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return [2 /*return*/];
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}
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});
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}); });
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it('predictions 3d array, targets 2d array, with default k', function () { return __awaiter(_this, void 0, void 0, function () {
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var predictions, targets, precision, _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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predictions = tensor_ops_1.tensor3d([[[1, 5, 2], [4, 3, 6]], [[3, 2, 1], [1, 2, 3]]]);
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targets = tensor_ops_1.tensor2d([[1, 2], [0, 1]]);
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return [4 /*yield*/, tf.inTopKAsync(predictions, targets)];
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case 1:
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precision = _b.sent();
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expect(precision.shape).toEqual([2, 2]);
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expect(precision.dtype).toBe('bool');
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_a = test_util_1.expectArraysClose;
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return [4 /*yield*/, precision.data()];
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case 2:
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_a.apply(void 0, [_b.sent(), [1, 1, 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('predictions 3d array, targets 2d array, with k=2', function () { return __awaiter(_this, void 0, void 0, function () {
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var predictions, targets, k, precision, _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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predictions = tensor_ops_1.tensor3d([[[1, 5, 2], [4, 3, 6]], [[3, 2, 1], [1, 2, 3]]]);
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targets = tensor_ops_1.tensor2d([[1, 2], [0, 1]]);
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k = 2;
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return [4 /*yield*/, tf.inTopKAsync(predictions, targets, k)];
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case 1:
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precision = _b.sent();
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expect(precision.shape).toEqual([2, 2]);
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expect(precision.dtype).toBe('bool');
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_a = test_util_1.expectArraysClose;
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return [4 /*yield*/, precision.data()];
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case 2:
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_a.apply(void 0, [_b.sent(), [1, 1, 1, 1]]);
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return [2 /*return*/];
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}
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});
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}); });
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it('lower-index element count first, with default k', function () { return __awaiter(_this, void 0, void 0, function () {
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var predictions, targets1, precision1, _a, targets2, precision2, _b;
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return __generator(this, function (_c) {
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switch (_c.label) {
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case 0:
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predictions = tensor_ops_1.tensor2d([[1, 2, 2, 1]]);
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targets1 = tensor_ops_1.tensor1d([1]);
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return [4 /*yield*/, tf.inTopKAsync(predictions, targets1)];
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case 1:
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precision1 = _c.sent();
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expect(precision1.shape).toEqual([1]);
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expect(precision1.dtype).toBe('bool');
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_a = test_util_1.expectArraysClose;
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return [4 /*yield*/, precision1.data()];
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case 2:
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_a.apply(void 0, [_c.sent(), [1]]);
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targets2 = tensor_ops_1.tensor1d([2]);
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return [4 /*yield*/, tf.inTopKAsync(predictions, targets2)];
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case 3:
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precision2 = _c.sent();
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expect(precision2.shape).toEqual([1]);
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expect(precision2.dtype).toBe('bool');
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_b = test_util_1.expectArraysClose;
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return [4 /*yield*/, precision2.data()];
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case 4:
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_b.apply(void 0, [_c.sent(), [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('accept tensor-like object, with default k', function () { return __awaiter(_this, void 0, void 0, function () {
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var predictions, targets, precision, _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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predictions = [[20, 10, 40, 30], [30, 50, -20, 10]];
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targets = [2, 0];
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return [4 /*yield*/, tf.inTopKAsync(predictions, targets)];
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case 1:
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precision = _b.sent();
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expect(precision.shape).toEqual([2]);
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expect(precision.dtype).toBe('bool');
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_a = test_util_1.expectArraysClose;
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return [4 /*yield*/, precision.data()];
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case 2:
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_a.apply(void 0, [_b.sent(), [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('doesnt leak tensors with tensor-like objects', function () { return __awaiter(_this, void 0, void 0, function () {
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var numTensors, predictions, targets, precision;
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return __generator(this, function (_a) {
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switch (_a.label) {
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case 0:
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numTensors = tf.memory().numTensors;
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predictions = [[20, 10, 40, 30], [30, 50, -20, 10]];
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targets = [2, 0];
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return [4 /*yield*/, tf.inTopKAsync(predictions, targets)];
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case 1:
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precision = _a.sent();
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precision.dispose();
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expect(tf.memory().numTensors).toBe(numTensors);
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return [2 /*return*/];
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}
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});
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}); });
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it('throws when predictions_rank <2', function () { return __awaiter(_this, void 0, void 0, function () {
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var predictions, targets, ex_1;
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return __generator(this, function (_a) {
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switch (_a.label) {
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case 0:
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predictions = tensor_ops_1.tensor1d([20, 10, 40, 30]);
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targets = [2];
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_a.label = 1;
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case 1:
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_a.trys.push([1, 3, , 4]);
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return [4 /*yield*/, tf.inTopKAsync(predictions, targets)];
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case 2:
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_a.sent();
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throw new Error('The line above should have thrown an error');
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case 3:
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ex_1 = _a.sent();
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expect(ex_1.message)
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.toEqual('inTopK() expects the predictions to ' +
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'be of rank 2 or higher, but got 1');
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return [3 /*break*/, 4];
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case 4: return [2 /*return*/];
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}
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});
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}); });
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it('throws when prediction.rank != targets.rank + 1', function () { return __awaiter(_this, void 0, void 0, function () {
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var predictions, targets, ex_2;
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return __generator(this, function (_a) {
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switch (_a.label) {
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case 0:
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predictions = tensor_ops_1.tensor2d([[20, 10, 40, 30], [30, 50, -20, 10]]);
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targets = tensor_ops_1.tensor2d([[0], [0]]);
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_a.label = 1;
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case 1:
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_a.trys.push([1, 3, , 4]);
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return [4 /*yield*/, tf.inTopKAsync(predictions, targets)];
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case 2:
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_a.sent();
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throw new Error('The line above should have thrown an error');
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case 3:
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ex_2 = _a.sent();
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expect(ex_2.message)
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.toEqual('predictions rank should be 1 larger than targets rank,' +
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' but got predictions rank 2 and targets rank 2');
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return [3 /*break*/, 4];
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case 4: return [2 /*return*/];
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}
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});
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}); });
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it('throws when k > size of last dimension of predictions', function () { return __awaiter(_this, void 0, void 0, function () {
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var predictions, targets, k, ex_3;
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return __generator(this, function (_a) {
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switch (_a.label) {
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case 0:
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predictions = tensor_ops_1.tensor2d([[20, 10, 40, 30], [30, 50, -20, 10]]);
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targets = tensor_ops_1.tensor1d([2, 0]);
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k = 5;
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_a.label = 1;
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case 1:
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_a.trys.push([1, 3, , 4]);
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return [4 /*yield*/, tf.inTopKAsync(predictions, targets, k)];
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case 2:
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_a.sent();
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throw new Error('The line above should have thrown an error');
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case 3:
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ex_3 = _a.sent();
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expect(ex_3.message)
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.toEqual('\'k\' passed to inTopK() must be > 0 && <= the predictions ' +
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'last dimension (4), but got 5');
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return [3 /*break*/, 4];
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case 4: return [2 /*return*/];
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}
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});
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}); });
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return [2 /*return*/];
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});
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}); });
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//# sourceMappingURL=in_top_k_test.js.map
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