@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
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JavaScript
"use strict";
/**
* @license
* Copyright 2018 Google Inc. 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.
* =============================================================================
*/
var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) {
return new (P || (P = Promise))(function (resolve, reject) {
function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } }
function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } }
function step(result) { result.done ? resolve(result.value) : new P(function (resolve) { resolve(result.value); }).then(fulfilled, rejected); }
step((generator = generator.apply(thisArg, _arguments || [])).next());
});
};
var __generator = (this && this.__generator) || function (thisArg, body) {
var _ = { label: 0, sent: function() { if (t[0] & 1) throw t[1]; return t[1]; }, trys: [], ops: [] }, f, y, t, g;
return g = { next: verb(0), "throw": verb(1), "return": verb(2) }, typeof Symbol === "function" && (g[Symbol.iterator] = function() { return this; }), g;
function verb(n) { return function (v) { return step([n, v]); }; }
function step(op) {
if (f) throw new TypeError("Generator is already executing.");
while (_) try {
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;
if (y = 0, t) op = [op[0] & 2, t.value];
switch (op[0]) {
case 0: case 1: t = op; break;
case 4: _.label++; return { value: op[1], done: false };
case 5: _.label++; y = op[1]; op = [0]; continue;
case 7: op = _.ops.pop(); _.trys.pop(); continue;
default:
if (!(t = _.trys, t = t.length > 0 && t[t.length - 1]) && (op[0] === 6 || op[0] === 2)) { _ = 0; continue; }
if (op[0] === 3 && (!t || (op[1] > t[0] && op[1] < t[3]))) { _.label = op[1]; break; }
if (op[0] === 6 && _.label < t[1]) { _.label = t[1]; t = op; break; }
if (t && _.label < t[2]) { _.label = t[2]; _.ops.push(op); break; }
if (t[2]) _.ops.pop();
_.trys.pop(); continue;
}
op = body.call(thisArg, _);
} catch (e) { op = [6, e]; y = 0; } finally { f = t = 0; }
if (op[0] & 5) throw op[1]; return { value: op[0] ? op[1] : void 0, done: true };
}
};
var _this = this;
Object.defineProperty(exports, "__esModule", { value: true });
var tf = require("../index");
var jasmine_util_1 = require("../jasmine_util");
var test_util_1 = require("../test_util");
jasmine_util_1.describeWithFlags('equal', jasmine_util_1.ALL_ENVS, function () {
it('Tensor1D - int32', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, _a, _b, _c;
return __generator(this, function (_d) {
switch (_d.label) {
case 0:
a = tf.tensor1d([1, 4, 5], 'int32');
b = tf.tensor1d([2, 3, 5], 'int32');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equal(a, b).data()];
case 1:
_a.apply(void 0, [_d.sent(), [0, 0, 1]]);
a = tf.tensor1d([2, 2, 2], 'int32');
b = tf.tensor1d([2, 2, 2], 'int32');
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equal(a, b).data()];
case 2:
_b.apply(void 0, [_d.sent(), [1, 1, 1]]);
a = tf.tensor1d([0, 0], 'int32');
b = tf.tensor1d([3, 3], 'int32');
_c = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equal(a, b).data()];
case 3:
_c.apply(void 0, [_d.sent(), [0, 0]]);
return [2 /*return*/];
}
});
}); });
it('Tensor1D - float32', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, _a, _b, _c;
return __generator(this, function (_d) {
switch (_d.label) {
case 0:
a = tf.tensor1d([1.1, 4.1, 5.1], 'float32');
b = tf.tensor1d([2.2, 3.2, 5.1], 'float32');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equal(a, b).data()];
case 1:
_a.apply(void 0, [_d.sent(), [0, 0, 1]]);
a = tf.tensor1d([2.31, 2.31, 2.31], 'float32');
b = tf.tensor1d([2.31, 2.31, 2.31], 'float32');
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equal(a, b).data()];
case 2:
_b.apply(void 0, [_d.sent(), [1, 1, 1]]);
a = tf.tensor1d([0.45, 0.123], 'float32');
b = tf.tensor1d([3.123, 3.321], 'float32');
_c = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equal(a, b).data()];
case 3:
_c.apply(void 0, [_d.sent(), [0, 0]]);
return [2 /*return*/];
}
});
}); });
it('upcasts when dtypes dont match', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, res, _a, _b;
return __generator(this, function (_c) {
switch (_c.label) {
case 0:
a = [1.1, 4.1, 5];
b = [2.2, 3.2, 5];
res = tf.equal(tf.tensor(a, [3], 'float32'), tf.tensor(b, [3], 'int32'));
expect(res.dtype).toBe('bool');
expect(res.shape).toEqual([3]);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, res.data()];
case 1:
_a.apply(void 0, [_c.sent(), [0, 0, 1]]);
res = tf.equal(tf.tensor(a, [3], 'int32'), tf.tensor(b, [3], 'bool'));
expect(res.dtype).toBe('bool');
expect(res.shape).toEqual([3]);
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, res.data()];
case 2:
_b.apply(void 0, [_c.sent(), [1, 0, 0]]);
return [2 /*return*/];
}
});
}); });
it('TensorLike', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = [1.1, 4.1, 5.1];
b = [2.2, 3.2, 5.1];
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equal(a, b).data()];
case 1:
_a.apply(void 0, [_b.sent(), [0, 0, 1]]);
return [2 /*return*/];
}
});
}); });
it('TensorLike chained', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.tensor1d([1.1, 4.1, 5.1], 'float32');
b = [2.2, 3.2, 5.1];
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, a.equal(b).data()];
case 1:
_a.apply(void 0, [_b.sent(), [0, 0, 1]]);
return [2 /*return*/];
}
});
}); });
it('mismatched Tensor1D shapes - int32', function () {
var a = tf.tensor1d([1, 2], 'int32');
var b = tf.tensor1d([1, 2, 3], 'int32');
var f = function () {
tf.equal(a, b);
};
expect(f).toThrowError();
});
it('mismatched Tensor1D shapes - float32', function () {
var a = tf.tensor1d([1.1, 2.1], 'float32');
var b = tf.tensor1d([1.1, 2.1, 3.1], 'float32');
var f = function () {
tf.equal(a, b);
};
expect(f).toThrowError();
});
it('NaNs in Tensor1D - float32', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.tensor1d([1.1, NaN, 2.1], 'float32');
b = tf.tensor1d([2.1, 3.1, NaN], 'float32');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equal(a, b).data()];
case 1:
_a.apply(void 0, [_b.sent(), [0, 0, 0]]);
return [2 /*return*/];
}
});
}); });
it('scalar and 1D broadcast', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, res, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.scalar(2);
b = tf.tensor1d([1, 2, 3, 4, 5, 2]);
res = tf.equal(a, b);
expect(res.dtype).toBe('bool');
expect(res.shape).toEqual([6]);
_a = test_util_1.expectArraysEqual;
return [4 /*yield*/, res.data()];
case 1:
_a.apply(void 0, [_b.sent(), [0, 1, 0, 0, 0, 1]]);
return [2 /*return*/];
}
});
}); });
// Tensor2D:
it('Tensor2D - int32', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, _a, _b;
return __generator(this, function (_c) {
switch (_c.label) {
case 0:
a = tf.tensor2d([[1, 4, 5], [8, 9, 12]], [2, 3], 'int32');
b = tf.tensor2d([[2, 3, 6], [7, 10, 11]], [2, 3], 'int32');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equal(a, b).data()];
case 1:
_a.apply(void 0, [_c.sent(), [0, 0, 0, 0, 0, 0]]);
a = tf.tensor2d([[0, 0], [1, 1]], [2, 2], 'int32');
b = tf.tensor2d([[0, 0], [1, 1]], [2, 2], 'int32');
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equal(a, b).data()];
case 2:
_b.apply(void 0, [_c.sent(), [1, 1, 1, 1]]);
return [2 /*return*/];
}
});
}); });
it('Tensor2D - float32', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, _a, _b;
return __generator(this, function (_c) {
switch (_c.label) {
case 0:
a = tf.tensor2d([[1.1, 4.1, 5.1], [8.1, 9.1, 12.1]], [2, 3], 'float32');
b = tf.tensor2d([[2.1, 4.1, 5.1], [7.1, 10.1, 11.1]], [2, 3], 'float32');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equal(a, b).data()];
case 1:
_a.apply(void 0, [_c.sent(), [0, 1, 1, 0, 0, 0]]);
a = tf.tensor2d([[0.2, 0.2], [1.2, 1.2]], [2, 2], 'float32');
b = tf.tensor2d([[0.2, 0.2], [1.2, 1.2]], [2, 2], 'float32');
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equal(a, b).data()];
case 2:
_b.apply(void 0, [_c.sent(), [1, 1, 1, 1]]);
return [2 /*return*/];
}
});
}); });
it('broadcasting Tensor2D shapes - int32', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.tensor2d([[3], [7]], [2, 1], 'int32');
b = tf.tensor2d([[2, 3, 4], [7, 8, 9]], [2, 3], 'int32');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equal(a, b).data()];
case 1:
_a.apply(void 0, [_b.sent(), [0, 1, 0, 1, 0, 0]]);
return [2 /*return*/];
}
});
}); });
it('broadcasting Tensor2D shapes - float32', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.tensor2d([[1.1], [7.1]], [2, 1], 'float32');
b = tf.tensor2d([[0.1, 1.1, 2.1], [7.1, 8.1, 9.1]], [2, 3], 'float32');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equal(a, b).data()];
case 1:
_a.apply(void 0, [_b.sent(), [0, 1, 0, 1, 0, 0]]);
return [2 /*return*/];
}
});
}); });
it('NaNs in Tensor2D - float32', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.tensor2d([[1.1, NaN], [1.1, NaN]], [2, 2], 'float32');
b = tf.tensor2d([[0.1, NaN], [1.1, NaN]], [2, 2], 'float32');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equal(a, b).data()];
case 1:
_a.apply(void 0, [_b.sent(), [0, 0, 1, 0]]);
return [2 /*return*/];
}
});
}); });
it('2D and 2D broadcast each with 1 dim', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, res, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.tensor2d([1, 2, 5], [1, 3]);
b = tf.tensor2d([5, 1], [2, 1]);
res = tf.equal(a, b);
expect(res.dtype).toBe('bool');
expect(res.shape).toEqual([2, 3]);
_a = test_util_1.expectArraysEqual;
return [4 /*yield*/, res.data()];
case 1:
_a.apply(void 0, [_b.sent(), [0, 0, 1, 1, 0, 0]]);
return [2 /*return*/];
}
});
}); });
it('2D and scalar broadcast', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, res, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.tensor2d([1, 2, 3, 2, 5, 6], [2, 3]);
b = tf.scalar(2);
res = tf.equal(a, b);
expect(res.dtype).toBe('bool');
expect(res.shape).toEqual([2, 3]);
_a = test_util_1.expectArraysEqual;
return [4 /*yield*/, res.data()];
case 1:
_a.apply(void 0, [_b.sent(), [0, 1, 0, 1, 0, 0]]);
return [2 /*return*/];
}
});
}); });
// Tensor3D:
it('Tensor3D - int32', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, _a, _b;
return __generator(this, function (_c) {
switch (_c.label) {
case 0:
a = tf.tensor3d([[[1], [4], [5]], [[8], [9], [12]]], [2, 3, 1], 'int32');
b = tf.tensor3d([[[2], [3], [6]], [[7], [10], [12]]], [2, 3, 1], 'int32');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equal(a, b).data()];
case 1:
_a.apply(void 0, [_c.sent(), [0, 0, 0, 0, 0, 1]]);
a = tf.tensor3d([[[0], [0], [0]], [[1], [1], [1]]], [2, 3, 1], 'int32');
b = tf.tensor3d([[[0], [0], [0]], [[1], [1], [1]]], [2, 3, 1], 'int32');
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equal(a, b).data()];
case 2:
_b.apply(void 0, [_c.sent(), [1, 1, 1, 1, 1, 1]]);
return [2 /*return*/];
}
});
}); });
it('Tensor3D - float32', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, _a, _b;
return __generator(this, function (_c) {
switch (_c.label) {
case 0:
a = tf.tensor3d([[[1.1], [4.1], [5.1]], [[8.1], [9.1], [12.1]]], [2, 3, 1], 'float32');
b = tf.tensor3d([[[2.1], [3.1], [6.1]], [[7.1], [10.1], [12.1]]], [2, 3, 1], 'float32');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equal(a, b).data()];
case 1:
_a.apply(void 0, [_c.sent(), [0, 0, 0, 0, 0, 1]]);
a = tf.tensor3d([[[0.1], [0.1], [0.1]], [[1.1], [1.1], [1.1]]], [2, 3, 1], 'float32');
b = tf.tensor3d([[[0.1], [0.1], [0.1]], [[1.1], [1.1], [1.1]]], [2, 3, 1], 'float32');
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equal(a, b).data()];
case 2:
_b.apply(void 0, [_c.sent(), [1, 1, 1, 1, 1, 1]]);
return [2 /*return*/];
}
});
}); });
it('broadcasting Tensor3D shapes - int32', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.tensor3d([[[1, 0], [2, 3], [4, 5]], [[6, 7], [9, 8], [10, 11]]], [2, 3, 2], 'int32');
b = tf.tensor3d([[[1], [2], [3]], [[7], [10], [9]]], [2, 3, 1], 'int32');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equal(a, b).data()];
case 1:
_a.apply(void 0, [_b.sent(), [1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0]]);
return [2 /*return*/];
}
});
}); });
it('broadcasting Tensor3D shapes - float32', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.tensor3d([
[[1.1, 0.1], [2.1, 3.1], [4.1, 5.1]],
[[6.1, 7.1], [9.1, 8.1], [10.1, 11.1]]
], [2, 3, 2], 'float32');
b = tf.tensor3d([[[1.1], [2.1], [3.1]], [[7.1], [10.1], [9.1]]], [2, 3, 1], 'float32');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equal(a, b).data()];
case 1:
_a.apply(void 0, [_b.sent(), [1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0]]);
return [2 /*return*/];
}
});
}); });
it('NaNs in Tensor3D - float32', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.tensor3d([[[1.1], [NaN], [1.1]], [[0.1], [0.1], [0.1]]], [2, 3, 1], 'float32');
b = tf.tensor3d([[[0.1], [0.1], [1.1]], [[1.1], [0.1], [NaN]]], [2, 3, 1], 'float32');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equal(a, b).data()];
case 1:
_a.apply(void 0, [_b.sent(), [0, 0, 1, 0, 1, 0]]);
return [2 /*return*/];
}
});
}); });
it('3D and scalar', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, res, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.tensor3d([1, 2, 3, 4, 5, -1], [2, 3, 1]);
b = tf.scalar(-1);
res = tf.equal(a, b);
expect(res.dtype).toBe('bool');
expect(res.shape).toEqual([2, 3, 1]);
_a = test_util_1.expectArraysEqual;
return [4 /*yield*/, res.data()];
case 1:
_a.apply(void 0, [_b.sent(), [0, 0, 0, 0, 0, 1]]);
return [2 /*return*/];
}
});
}); });
// Tensor4D:
it('Tensor4D - int32', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, _a, _b, _c;
return __generator(this, function (_d) {
switch (_d.label) {
case 0:
a = tf.tensor4d([1, 4, 5, 8], [2, 2, 1, 1], 'int32');
b = tf.tensor4d([2, 3, 6, 8], [2, 2, 1, 1], 'int32');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equal(a, b).data()];
case 1:
_a.apply(void 0, [_d.sent(), [0, 0, 0, 1]]);
a = tf.tensor4d([0, 1, 2, 3], [2, 2, 1, 1], 'int32');
b = tf.tensor4d([0, 1, 2, 3], [2, 2, 1, 1], 'int32');
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equal(a, b).data()];
case 2:
_b.apply(void 0, [_d.sent(), [1, 1, 1, 1]]);
a = tf.tensor4d([1, 1, 1, 1], [2, 2, 1, 1], 'int32');
b = tf.tensor4d([2, 2, 2, 2], [2, 2, 1, 1], 'int32');
_c = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equal(a, b).data()];
case 3:
_c.apply(void 0, [_d.sent(), [0, 0, 0, 0]]);
return [2 /*return*/];
}
});
}); });
it('Tensor4D - float32', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, _a, _b, _c;
return __generator(this, function (_d) {
switch (_d.label) {
case 0:
a = tf.tensor4d([1.1, 4.1, 5.1, 8.1], [2, 2, 1, 1], 'float32');
b = tf.tensor4d([2.1, 3.1, 6.1, 8.1], [2, 2, 1, 1], 'float32');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equal(a, b).data()];
case 1:
_a.apply(void 0, [_d.sent(), [0, 0, 0, 1]]);
a = tf.tensor4d([0.1, 1.1, 2.2, 3.3], [2, 2, 1, 1], 'float32');
b = tf.tensor4d([0.1, 1.1, 2.2, 3.3], [2, 2, 1, 1], 'float32');
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equal(a, b).data()];
case 2:
_b.apply(void 0, [_d.sent(), [1, 1, 1, 1]]);
a = tf.tensor4d([0.1, 0.1, 0.1, 0.1], [2, 2, 1, 1], 'float32');
b = tf.tensor4d([1.1, 1.1, 1.1, 1.1], [2, 2, 1, 1], 'float32');
_c = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equal(a, b).data()];
case 3:
_c.apply(void 0, [_d.sent(), [0, 0, 0, 0]]);
return [2 /*return*/];
}
});
}); });
it('broadcasting Tensor4D shapes - int32', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.tensor4d([1, 2, 5, 9], [2, 2, 1, 1], 'int32');
b = tf.tensor4d([[[[1, 2]], [[3, 4]]], [[[5, 6]], [[7, 8]]]], [2, 2, 1, 2], 'int32');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equal(a, b).data()];
case 1:
_a.apply(void 0, [_b.sent(), [1, 0, 0, 0, 1, 0, 0, 0]]);
return [2 /*return*/];
}
});
}); });
it('broadcasting Tensor4D shapes - float32', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.tensor4d([1.1, 2.1, 5.1, 9.1], [2, 2, 1, 1], 'float32');
b = tf.tensor4d([[[[1.1, 2.1]], [[3.1, 4.1]]], [[[5.1, 6.1]], [[7.1, 8.1]]]], [2, 2, 1, 2], 'float32');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equal(a, b).data()];
case 1:
_a.apply(void 0, [_b.sent(), [1, 0, 0, 0, 1, 0, 0, 0]]);
return [2 /*return*/];
}
});
}); });
it('NaNs in Tensor4D - float32', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.tensor4d([1.1, NaN, 1.1, 0.1], [2, 2, 1, 1], 'float32');
b = tf.tensor4d([0.1, 1.1, 1.1, NaN], [2, 2, 1, 1], 'float32');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equal(a, b).data()];
case 1:
_a.apply(void 0, [_b.sent(), [0, 0, 1, 0]]);
return [2 /*return*/];
}
});
}); });
it('throws when passed a as a non-tensor', function () {
expect(function () { return tf.equal({}, tf.scalar(1)); })
.toThrowError(/Argument 'a' passed to 'equal' must be a Tensor/);
});
it('throws when passed b as a non-tensor', function () {
expect(function () { return tf.equal(tf.scalar(1), {}); })
.toThrowError(/Argument 'b' passed to 'equal' must be a Tensor/);
});
it('accepts a tensor-like object', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = [1, 4, 5];
b = [2, 3, 5];
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equal(a, b).data()];
case 1:
_a.apply(void 0, [_b.sent(), [0, 0, 1]]);
return [2 /*return*/];
}
});
}); });
});
jasmine_util_1.describeWithFlags('equalStrict', jasmine_util_1.ALL_ENVS, function () {
it('Tensor1D - int32', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, _a, _b, _c;
return __generator(this, function (_d) {
switch (_d.label) {
case 0:
a = tf.tensor1d([1, 4, 5], 'int32');
b = tf.tensor1d([2, 3, 5], 'int32');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equalStrict(a, b).data()];
case 1:
_a.apply(void 0, [_d.sent(), [0, 0, 1]]);
a = tf.tensor1d([2, 2, 2], 'int32');
b = tf.tensor1d([2, 2, 2], 'int32');
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equalStrict(a, b).data()];
case 2:
_b.apply(void 0, [_d.sent(), [1, 1, 1]]);
a = tf.tensor1d([0, 0], 'int32');
b = tf.tensor1d([3, 3], 'int32');
_c = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equalStrict(a, b).data()];
case 3:
_c.apply(void 0, [_d.sent(), [0, 0]]);
return [2 /*return*/];
}
});
}); });
it('Tensor1D - float32', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, _a, _b, _c;
return __generator(this, function (_d) {
switch (_d.label) {
case 0:
a = tf.tensor1d([1.1, 4.1, 5.1], 'float32');
b = tf.tensor1d([2.2, 3.2, 5.1], 'float32');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equalStrict(a, b).data()];
case 1:
_a.apply(void 0, [_d.sent(), [0, 0, 1]]);
a = tf.tensor1d([2.31, 2.31, 2.31], 'float32');
b = tf.tensor1d([2.31, 2.31, 2.31], 'float32');
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equalStrict(a, b).data()];
case 2:
_b.apply(void 0, [_d.sent(), [1, 1, 1]]);
a = tf.tensor1d([0.45, 0.123], 'float32');
b = tf.tensor1d([3.123, 3.321], 'float32');
_c = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equalStrict(a, b).data()];
case 3:
_c.apply(void 0, [_d.sent(), [0, 0]]);
return [2 /*return*/];
}
});
}); });
it('mismatched Tensor1D shapes - int32', function () {
var a = tf.tensor1d([1, 2], 'int32');
var b = tf.tensor1d([1, 2, 3], 'int32');
var f = function () {
tf.equalStrict(a, b);
};
expect(f).toThrowError();
});
it('mismatched Tensor1D shapes - float32', function () {
var a = tf.tensor1d([1.1, 2.1], 'float32');
var b = tf.tensor1d([1.1, 2.1, 3.1], 'float32');
var f = function () {
tf.equalStrict(a, b);
};
expect(f).toThrowError();
});
it('NaNs in Tensor1D - float32', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.tensor1d([1.1, NaN, 2.1], 'float32');
b = tf.tensor1d([2.1, 3.1, NaN], 'float32');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equalStrict(a, b).data()];
case 1:
_a.apply(void 0, [_b.sent(), [0, 0, 0]]);
return [2 /*return*/];
}
});
}); });
// Tensor2D:
it('Tensor2D - int32', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, _a, _b;
return __generator(this, function (_c) {
switch (_c.label) {
case 0:
a = tf.tensor2d([[1, 4, 5], [8, 9, 12]], [2, 3], 'int32');
b = tf.tensor2d([[2, 3, 6], [7, 10, 11]], [2, 3], 'int32');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equalStrict(a, b).data()];
case 1:
_a.apply(void 0, [_c.sent(), [0, 0, 0, 0, 0, 0]]);
a = tf.tensor2d([[0, 0], [1, 1]], [2, 2], 'int32');
b = tf.tensor2d([[0, 0], [1, 1]], [2, 2], 'int32');
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equalStrict(a, b).data()];
case 2:
_b.apply(void 0, [_c.sent(), [1, 1, 1, 1]]);
return [2 /*return*/];
}
});
}); });
it('Tensor2D - float32', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, _a, _b;
return __generator(this, function (_c) {
switch (_c.label) {
case 0:
a = tf.tensor2d([[1.1, 4.1, 5.1], [8.1, 9.1, 12.1]], [2, 3], 'float32');
b = tf.tensor2d([[2.1, 4.1, 5.1], [7.1, 10.1, 11.1]], [2, 3], 'float32');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equalStrict(a, b).data()];
case 1:
_a.apply(void 0, [_c.sent(), [0, 1, 1, 0, 0, 0]]);
a = tf.tensor2d([[0.2, 0.2], [1.2, 1.2]], [2, 2], 'float32');
b = tf.tensor2d([[0.2, 0.2], [1.2, 1.2]], [2, 2], 'float32');
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equalStrict(a, b).data()];
case 2:
_b.apply(void 0, [_c.sent(), [1, 1, 1, 1]]);
return [2 /*return*/];
}
});
}); });
it('mismatch Tensor2D shapes - int32', function () {
var a = tf.tensor2d([[3], [7]], [2, 1], 'int32');
var b = tf.tensor2d([[2, 3, 4], [7, 8, 9]], [2, 3], 'int32');
var f = function () {
tf.equalStrict(a, b);
};
expect(f).toThrowError();
});
it('mismatch Tensor2D shapes - float32', function () {
var a = tf.tensor2d([[1.1], [7.1]], [2, 1], 'float32');
var b = tf.tensor2d([[0.1, 1.1, 2.1], [7.1, 8.1, 9.1]], [2, 3], 'float32');
var f = function () {
tf.equalStrict(a, b);
};
expect(f).toThrowError();
});
it('NaNs in Tensor2D - float32', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.tensor2d([[1.1, NaN], [1.1, NaN]], [2, 2], 'float32');
b = tf.tensor2d([[0.1, NaN], [1.1, NaN]], [2, 2], 'float32');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equalStrict(a, b).data()];
case 1:
_a.apply(void 0, [_b.sent(), [0, 0, 1, 0]]);
return [2 /*return*/];
}
});
}); });
// Tensor3D:
it('Tensor3D - int32', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, _a, _b;
return __generator(this, function (_c) {
switch (_c.label) {
case 0:
a = tf.tensor3d([[[1], [4], [5]], [[8], [9], [12]]], [2, 3, 1], 'int32');
b = tf.tensor3d([[[2], [3], [6]], [[7], [10], [12]]], [2, 3, 1], 'int32');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equalStrict(a, b).data()];
case 1:
_a.apply(void 0, [_c.sent(), [0, 0, 0, 0, 0, 1]]);
a = tf.tensor3d([[[0], [0], [0]], [[1], [1], [1]]], [2, 3, 1], 'int32');
b = tf.tensor3d([[[0], [0], [0]], [[1], [1], [1]]], [2, 3, 1], 'int32');
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equalStrict(a, b).data()];
case 2:
_b.apply(void 0, [_c.sent(), [1, 1, 1, 1, 1, 1]]);
return [2 /*return*/];
}
});
}); });
it('Tensor3D - float32', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, _a, _b;
return __generator(this, function (_c) {
switch (_c.label) {
case 0:
a = tf.tensor3d([[[1.1], [4.1], [5.1]], [[8.1], [9.1], [12.1]]], [2, 3, 1], 'float32');
b = tf.tensor3d([[[2.1], [3.1], [6.1]], [[7.1], [10.1], [12.1]]], [2, 3, 1], 'float32');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equalStrict(a, b).data()];
case 1:
_a.apply(void 0, [_c.sent(), [0, 0, 0, 0, 0, 1]]);
a = tf.tensor3d([[[0.1], [0.1], [0.1]], [[1.1], [1.1], [1.1]]], [2, 3, 1], 'float32');
b = tf.tensor3d([[[0.1], [0.1], [0.1]], [[1.1], [1.1], [1.1]]], [2, 3, 1], 'float32');
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equalStrict(a, b).data()];
case 2:
_b.apply(void 0, [_c.sent(), [1, 1, 1, 1, 1, 1]]);
return [2 /*return*/];
}
});
}); });
it('mismatch Tensor3D shapes - int32', function () {
var a = tf.tensor3d([[[1, 0], [2, 3], [4, 5]], [[6, 7], [9, 8], [10, 11]]], [2, 3, 2], 'int32');
var b = tf.tensor3d([[[1], [2], [3]], [[7], [10], [9]]], [2, 3, 1], 'int32');
var f = function () {
tf.equalStrict(a, b);
};
expect(f).toThrowError();
});
it('mismatch Tensor3D shapes - float32', function () {
var a = tf.tensor3d([
[[1.1, 0.1], [2.1, 3.1], [4.1, 5.1]],
[[6.1, 7.1], [9.1, 8.1], [10.1, 11.1]]
], [2, 3, 2], 'float32');
var b = tf.tensor3d([[[1.1], [2.1], [3.1]], [[7.1], [10.1], [9.1]]], [2, 3, 1], 'float32');
var f = function () {
tf.equalStrict(a, b);
};
expect(f).toThrowError();
});
it('NaNs in Tensor3D - float32', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.tensor3d([[[1.1], [NaN], [1.1]], [[0.1], [0.1], [0.1]]], [2, 3, 1], 'float32');
b = tf.tensor3d([[[0.1], [0.1], [1.1]], [[1.1], [0.1], [NaN]]], [2, 3, 1], 'float32');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equalStrict(a, b).data()];
case 1:
_a.apply(void 0, [_b.sent(), [0, 0, 1, 0, 1, 0]]);
return [2 /*return*/];
}
});
}); });
// Tensor4D:
it('Tensor4D - int32', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, _a, _b, _c;
return __generator(this, function (_d) {
switch (_d.label) {
case 0:
a = tf.tensor4d([1, 4, 5, 8], [2, 2, 1, 1], 'int32');
b = tf.tensor4d([2, 3, 6, 8], [2, 2, 1, 1], 'int32');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equalStrict(a, b).data()];
case 1:
_a.apply(void 0, [_d.sent(), [0, 0, 0, 1]]);
a = tf.tensor4d([0, 1, 2, 3], [2, 2, 1, 1], 'int32');
b = tf.tensor4d([0, 1, 2, 3], [2, 2, 1, 1], 'int32');
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equalStrict(a, b).data()];
case 2:
_b.apply(void 0, [_d.sent(), [1, 1, 1, 1]]);
a = tf.tensor4d([1, 1, 1, 1], [2, 2, 1, 1], 'int32');
b = tf.tensor4d([2, 2, 2, 2], [2, 2, 1, 1], 'int32');
_c = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equalStrict(a, b).data()];
case 3:
_c.apply(void 0, [_d.sent(), [0, 0, 0, 0]]);
return [2 /*return*/];
}
});
}); });
it('Tensor4D - float32', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, _a, _b, _c;
return __generator(this, function (_d) {
switch (_d.label) {
case 0:
a = tf.tensor4d([1.1, 4.1, 5.1, 8.1], [2, 2, 1, 1], 'float32');
b = tf.tensor4d([2.1, 3.1, 6.1, 8.1], [2, 2, 1, 1], 'float32');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equalStrict(a, b).data()];
case 1:
_a.apply(void 0, [_d.sent(), [0, 0, 0, 1]]);
a = tf.tensor4d([0.1, 1.1, 2.2, 3.3], [2, 2, 1, 1], 'float32');
b = tf.tensor4d([0.1, 1.1, 2.2, 3.3], [2, 2, 1, 1], 'float32');
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equalStrict(a, b).data()];
case 2:
_b.apply(void 0, [_d.sent(), [1, 1, 1, 1]]);
a = tf.tensor4d([0.1, 0.1, 0.1, 0.1], [2, 2, 1, 1], 'float32');
b = tf.tensor4d([1.1, 1.1, 1.1, 1.1], [2, 2, 1, 1], 'float32');
_c = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equalStrict(a, b).data()];
case 3:
_c.apply(void 0, [_d.sent(), [0, 0, 0, 0]]);
return [2 /*return*/];
}
});
}); });
it('mismatch Tensor4D shapes - int32', function () {
var a = tf.tensor4d([1, 2, 5, 9], [2, 2, 1, 1], 'int32');
var b = tf.tensor4d([[[[1, 2]], [[3, 4]]], [[[5, 6]], [[7, 8]]]], [2, 2, 1, 2], 'int32');
var f = function () {
tf.equalStrict(a, b);
};
expect(f).toThrowError();
});
it('mismatch Tensor4D shapes - float32', function () {
var a = tf.tensor4d([1.1, 2.1, 5.1, 9.1], [2, 2, 1, 1], 'float32');
var b = tf.tensor4d([[[[1.1, 2.1]], [[3.1, 4.1]]], [[[5.1, 6.1]], [[7.1, 8.1]]]], [2, 2, 1, 2], 'float32');
var f = function () {
tf.equalStrict(a, b);
};
expect(f).toThrowError();
});
it('NaNs in Tensor4D - float32', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.tensor4d([1.1, NaN, 1.1, 0.1], [2, 2, 1, 1], 'float32');
b = tf.tensor4d([0.1, 1.1, 1.1, NaN], [2, 2, 1, 1], 'float32');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equalStrict(a, b).data()];
case 1:
_a.apply(void 0, [_b.sent(), [0, 0, 1, 0]]);
return [2 /*return*/];
}
});
}); });
it('accepts a tensor-like object', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = [1, 4, 5];
b = [2, 3, 5];
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.equalStrict(a, b).data()];
case 1:
_a.apply(void 0, [_b.sent(), [0, 0, 1]]);
return [2 /*return*/];
}
});
}); });
});
jasmine_util_1.describeWithFlags('notEqual', jasmine_util_1.ALL_ENVS, function () {
it('Tensor1D - int32', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, _a, _b, _c;
return __generator(this, function (_d) {
switch (_d.label) {
case 0:
a = tf.tensor1d([1, 4, 5], 'int32');
b = tf.tensor1d([2, 3, 5], 'int32');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.notEqual(a, b).data()];
case 1:
_a.apply(void 0, [_d.sent(), [1, 1, 0]]);
a = tf.tensor1d([2, 2, 2], 'int32');
b = tf.tensor1d([2, 2, 2], 'int32');
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.notEqual(a, b).data()];
case 2:
_b.apply(void 0, [_d.sent(), [0, 0, 0]]);
a = tf.tensor1d([0, 0], 'int32');
b = tf.tensor1d([3, 3], 'int32');
_c = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.notEqual(a, b).data()];
case 3:
_c.apply(void 0, [_d.sent(), [1, 1]]);
return [2 /*return*/];
}
});
}); });
it('Tensor1D - float32', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, _a, _b, _c;
return __generator(this, function (_d) {
switch (_d.label) {
case 0:
a = tf.tensor1d([1.1, 4.1, 5.1], 'float32');
b = tf.tensor1d([2.2, 3.2, 5.1], 'float32');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.notEqual(a, b).data()];
case 1:
_a.apply(void 0, [_d.sent(), [1, 1, 0]]);
a = tf.tensor1d([2.31, 2.31, 2.31], 'float32');
b = tf.tensor1d([2.31, 2.31, 2.31], 'float32');
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.notEqual(a, b).data()];
case 2:
_b.apply(void 0, [_d.sent(), [0, 0, 0]]);
a = tf.tensor1d([0.45, 0.123], 'float32');
b = tf.tensor1d([3.123, 3.321], 'float32');
_c = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.notEqual(a, b).data()];
case 3:
_c.apply(void 0, [_d.sent(), [1, 1]]);
return [2 /*return*/];
}
});
}); });
it('upcasts when dtypes dont match', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, res, _a, _b;
return __generator(this, function (_c) {
switch (_c.label) {
case 0:
a = [1.1, 4.1, 5];
b = [2.2, 3.2, 5];
res = tf.notEqual(tf.tensor(a, [3], 'float32'), tf.tensor(b, [3], 'int32'));
expect(res.dtype).toBe('bool');
expect(res.shape).toEqual([3]);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, res.data()];
case 1:
_a.apply(void 0, [_c.sent(), [1, 1, 0]]);
res = tf.notEqual(tf.tensor(a, [3], 'int32'), tf.tensor(b, [3], 'bool'));
expect(res.dtype).toBe('bool');
expect(res.shape).toEqual([3]);
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, res.data()];
case 2:
_b.apply(void 0, [_c.sent(), [0, 1, 1]]);
return [2 /*return*/];
}
});
}); });
it('TensorLike', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = [1.1, 4.1, 5.1];
b = [2.2, 3.2, 5.1];
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.notEqual(a, b).data()];
case 1:
_a.apply(void 0, [_b.sent(), [1, 1, 0]]);
return [2 /*return*/];
}
});
}); });
it('TensorLike Chained', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.tensor1d([1.1, 4.1, 5.1], 'float32');
b = [2.2, 3.2, 5.1];
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, a.notEqual(b).data()];
case 1:
_a.apply(void 0, [_b.sent(), [1, 1, 0]]);
return [2 /*return*/];
}
});
}); });
it('mismatched Tensor1D shapes - int32', function () {
var a = tf.tensor1d([1, 2], 'int32');
var b = tf.tensor1d([1, 2, 3], 'int32');
var f = function () {
tf.notEqual(a, b);
};
expect(f).toThrowError();
});
it('mismatched Tensor1D shapes - float32', function () {
var a = tf.tensor1d([1.1, 2.1], 'float32');
var b = tf.tensor1d([1.1, 2.1, 3.1], 'float32');
var f = function () {
tf.notEqual(a, b);
};
expect(f).toThrowError();
});
it('NaNs in Tensor1D - float32', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.tensor1d([1.1, NaN, 2.1], 'float32');
b = tf.tensor1d([2.1, 3.1, NaN], 'float32');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.notEqual(a, b).data()];
case 1:
_a.apply(void 0, [_b.sent(), [1, 1, 1]]);