@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('logicalNot', jasmine_util_1.ALL_ENVS, function () {
it('Tensor1D.', function () { return __awaiter(_this, void 0, void 0, function () {
var a, _a, _b, _c;
return __generator(this, function (_d) {
switch (_d.label) {
case 0:
a = tf.tensor1d([1, 0, 0], 'bool');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalNot(a).data()];
case 1:
_a.apply(void 0, [_d.sent(), [0, 1, 1]]);
a = tf.tensor1d([0, 0, 0], 'bool');
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalNot(a).data()];
case 2:
_b.apply(void 0, [_d.sent(), [1, 1, 1]]);
a = tf.tensor1d([1, 1], 'bool');
_c = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalNot(a).data()];
case 3:
_c.apply(void 0, [_d.sent(), [0, 0]]);
return [2 /*return*/];
}
});
}); });
it('Tests chaining in Tensor1D', function () { return __awaiter(_this, void 0, void 0, function () {
var a, _a, _b, _c;
return __generator(this, function (_d) {
switch (_d.label) {
case 0:
a = tf.tensor1d([1, 0, 0], 'bool');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, a.logicalNot().data()];
case 1:
_a.apply(void 0, [_d.sent(), [0, 1, 1]]);
a = tf.tensor1d([0, 0, 0], 'bool');
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, a.logicalNot().data()];
case 2:
_b.apply(void 0, [_d.sent(), [1, 1, 1]]);
a = tf.tensor1d([1, 1], 'bool');
_c = test_util_1.expectArraysClose;
return [4 /*yield*/, a.logicalNot().data()];
case 3:
_c.apply(void 0, [_d.sent(), [0, 0]]);
return [2 /*return*/];
}
});
}); });
it('Tensor2D', function () { return __awaiter(_this, void 0, void 0, function () {
var a, _a, _b;
return __generator(this, function (_c) {
switch (_c.label) {
case 0:
a = tf.tensor2d([[1, 0, 1], [0, 0, 0]], [2, 3], 'bool');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalNot(a).data()];
case 1:
_a.apply(void 0, [_c.sent(), [0, 1, 0, 1, 1, 1]]);
a = tf.tensor2d([[0, 0, 0], [1, 1, 1]], [2, 3], 'bool');
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalNot(a).data()];
case 2:
_b.apply(void 0, [_c.sent(), [1, 1, 1, 0, 0, 0]]);
return [2 /*return*/];
}
});
}); });
it('Tensor3D', function () { return __awaiter(_this, void 0, void 0, function () {
var a, _a, _b;
return __generator(this, function (_c) {
switch (_c.label) {
case 0:
a = tf.tensor3d([[[1], [0], [1]], [[0], [0], [0]]], [2, 3, 1], 'bool');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalNot(a).data()];
case 1:
_a.apply(void 0, [_c.sent(), [0, 1, 0, 1, 1, 1]]);
a = tf.tensor3d([[[0], [0], [0]], [[1], [1], [1]]], [2, 3, 1], 'bool');
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalNot(a).data()];
case 2:
_b.apply(void 0, [_c.sent(), [1, 1, 1, 0, 0, 0]]);
return [2 /*return*/];
}
});
}); });
it('Tensor4D', function () { return __awaiter(_this, void 0, void 0, function () {
var a, _a, _b, _c;
return __generator(this, function (_d) {
switch (_d.label) {
case 0:
a = tf.tensor4d([1, 0, 1, 0], [2, 2, 1, 1], 'bool');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalNot(a).data()];
case 1:
_a.apply(void 0, [_d.sent(), [0, 1, 0, 1]]);
a = tf.tensor4d([0, 0, 0, 0], [2, 2, 1, 1], 'bool');
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalNot(a).data()];
case 2:
_b.apply(void 0, [_d.sent(), [1, 1, 1, 1]]);
a = tf.tensor4d([1, 1, 1, 1], [2, 2, 1, 1], 'bool');
_c = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalNot(a).data()];
case 3:
_c.apply(void 0, [_d.sent(), [0, 0, 0, 0]]);
return [2 /*return*/];
}
});
}); });
it('Tensor6D', function () { return __awaiter(_this, void 0, void 0, function () {
var a, _a, expectedResult, _b, _c;
return __generator(this, function (_d) {
switch (_d.label) {
case 0:
a = tf.tensor6d([1, 0, 1, 0], [2, 2, 1, 1, 1, 1], 'bool');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalNot(a).data()];
case 1:
_a.apply(void 0, [_d.sent(), [0, 1, 0, 1]]);
a = tf.zeros([2, 2, 2, 2, 2, 2]).cast('bool');
expectedResult = new Uint8Array(64).fill(1);
expectedResult = expectedResult.fill(1);
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalNot(a).data()];
case 2:
_b.apply(void 0, [_d.sent(), expectedResult]);
a = tf.ones([2, 2, 2, 2, 2, 2]).cast('bool');
expectedResult = expectedResult.fill(0);
_c = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalNot(a).data()];
case 3:
_c.apply(void 0, [_d.sent(), expectedResult]);
return [2 /*return*/];
}
});
}); });
it('throws when passed a non-tensor', function () {
expect(function () { return tf.logicalNot({}); })
.toThrowError(/Argument 'x' passed to 'logicalNot' must be a Tensor/);
});
it('accepts a tensor-like object', function () { return __awaiter(_this, void 0, void 0, function () {
var a, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = [1, 0, 0];
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalNot(a).data()];
case 1:
_a.apply(void 0, [_b.sent(), [0, 1, 1]]);
return [2 /*return*/];
}
});
}); });
});
jasmine_util_1.describeWithFlags('logicalAnd', jasmine_util_1.ALL_ENVS, function () {
it('Tensor1D.', 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, 0, 0], 'bool');
b = tf.tensor1d([0, 1, 0], 'bool');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalAnd(a, b).data()];
case 1:
_a.apply(void 0, [_d.sent(), [0, 0, 0]]);
a = tf.tensor1d([0, 0, 0], 'bool');
b = tf.tensor1d([0, 0, 0], 'bool');
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalAnd(a, b).data()];
case 2:
_b.apply(void 0, [_d.sent(), [0, 0, 0]]);
a = tf.tensor1d([1, 1], 'bool');
b = tf.tensor1d([1, 1], 'bool');
_c = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalAnd(a, b).data()];
case 3:
_c.apply(void 0, [_d.sent(), [1, 1]]);
return [2 /*return*/];
}
});
}); });
it('mismatched Tensor1D shapes', function () {
var a = tf.tensor1d([1, 0], 'bool');
var b = tf.tensor1d([0, 1, 0], 'bool');
var f = function () {
tf.logicalAnd(a, b);
};
expect(f).toThrowError();
});
it('Tensor2D', 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, 0, 1], [0, 0, 0]], [2, 3], 'bool');
b = tf.tensor2d([[0, 0, 0], [0, 1, 0]], [2, 3], 'bool');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalAnd(a, b).data()];
case 1:
_a.apply(void 0, [_c.sent(), [0, 0, 0, 0, 0, 0]]);
a = tf.tensor2d([[0, 0, 0], [1, 1, 1]], [2, 3], 'bool');
b = tf.tensor2d([[0, 0, 0], [1, 1, 1]], [2, 3], 'bool');
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalAnd(a, b).data()];
case 2:
_b.apply(void 0, [_c.sent(), [0, 0, 0, 1, 1, 1]]);
return [2 /*return*/];
}
});
}); });
it('broadcasting Tensor2D shapes', 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], [0]], [2, 1], 'bool');
b = tf.tensor2d([[0, 1, 0], [0, 1, 0]], [2, 3], 'bool');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalAnd(a, b).data()];
case 1:
_a.apply(void 0, [_b.sent(), [0, 1, 0, 0, 0, 0]]);
return [2 /*return*/];
}
});
}); });
it('Tensor3D', 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], [0], [1]], [[0], [0], [1]]], [2, 3, 1], 'bool');
b = tf.tensor3d([[[0], [0], [1]], [[1], [0], [0]]], [2, 3, 1], 'bool');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalAnd(a, b).data()];
case 1:
_a.apply(void 0, [_c.sent(), [0, 0, 1, 0, 0, 0]]);
a = tf.tensor3d([[[0], [0], [0]], [[1], [1], [1]]], [2, 3, 1], 'bool');
b = tf.tensor3d([[[0], [0], [0]], [[1], [1], [1]]], [2, 3, 1], 'bool');
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalAnd(a, b).data()];
case 2:
_b.apply(void 0, [_c.sent(), [0, 0, 0, 1, 1, 1]]);
return [2 /*return*/];
}
});
}); });
it('broadcasting Tensor3D shapes', 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], [0, 0], [1, 1]], [[0, 0], [0, 1], [0, 0]]], [2, 3, 2], 'bool');
b = tf.tensor3d([[[0], [0], [1]], [[1], [0], [0]]], [2, 3, 1], 'bool');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalAnd(a, b).data()];
case 1:
_a.apply(void 0, [_b.sent(), [0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0]]);
return [2 /*return*/];
}
});
}); });
it('Tensor4D', 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, 0, 1, 0], [2, 2, 1, 1], 'bool');
b = tf.tensor4d([0, 1, 1, 0], [2, 2, 1, 1], 'bool');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalAnd(a, b).data()];
case 1:
_a.apply(void 0, [_d.sent(), [0, 0, 1, 0]]);
a = tf.tensor4d([0, 0, 0, 0], [2, 2, 1, 1], 'bool');
b = tf.tensor4d([0, 0, 0, 0], [2, 2, 1, 1], 'bool');
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalAnd(a, b).data()];
case 2:
_b.apply(void 0, [_d.sent(), [0, 0, 0, 0]]);
a = tf.tensor4d([1, 1, 1, 1], [2, 2, 1, 1], 'bool');
b = tf.tensor4d([1, 1, 1, 1], [2, 2, 1, 1], 'bool');
_c = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalAnd(a, b).data()];
case 3:
_c.apply(void 0, [_d.sent(), [1, 1, 1, 1]]);
return [2 /*return*/];
}
});
}); });
it('broadcasting Tensor4D shapes', 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, 0, 1, 0], [2, 2, 1, 1], 'bool');
b = tf.tensor4d([[[[1, 0]], [[0, 0]]], [[[0, 0]], [[1, 1]]]], [2, 2, 1, 2], 'bool');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalAnd(a, b).data()];
case 1:
_a.apply(void 0, [_b.sent(), [1, 0, 0, 0, 0, 0, 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 = [true, false, false];
b = [false, true, false];
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalAnd(a, b).data()];
case 1:
_a.apply(void 0, [_b.sent(), [0, 0, 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, 0, 0], 'bool');
b = [false, true, false];
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, a.logicalAnd(b).data()];
case 1:
_a.apply(void 0, [_b.sent(), [0, 0, 0]]);
return [2 /*return*/];
}
});
}); });
it('throws when passed a as a non-tensor', function () {
expect(function () { return tf.logicalAnd({}, tf.scalar(1, 'bool')); })
.toThrowError(/Argument 'a' passed to 'logicalAnd' must be a Tensor/);
});
it('throws when passed b as a non-tensor', function () {
expect(function () { return tf.logicalAnd(tf.scalar(1, 'bool'), {}); })
.toThrowError(/Argument 'b' passed to 'logicalAnd' 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, 0, 0, 1];
b = [0, 1, 0, 1];
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalAnd(a, b).data()];
case 1:
_a.apply(void 0, [_b.sent(), [0, 0, 0, 1]]);
return [2 /*return*/];
}
});
}); });
});
jasmine_util_1.describeWithFlags('logicalOr', jasmine_util_1.ALL_ENVS, function () {
it('Tensor1D.', 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, 0, 0], 'bool');
b = tf.tensor1d([0, 1, 0], 'bool');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalOr(a, b).data()];
case 1:
_a.apply(void 0, [_d.sent(), [1, 1, 0]]);
a = tf.tensor1d([0, 0, 0], 'bool');
b = tf.tensor1d([0, 0, 0], 'bool');
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalOr(a, b).data()];
case 2:
_b.apply(void 0, [_d.sent(), [0, 0, 0]]);
a = tf.tensor1d([1, 1], 'bool');
b = tf.tensor1d([1, 1], 'bool');
_c = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalOr(a, b).data()];
case 3:
_c.apply(void 0, [_d.sent(), [1, 1]]);
return [2 /*return*/];
}
});
}); });
it('mismatched Tensor1D shapes', function () {
var a = tf.tensor1d([1, 0], 'bool');
var b = tf.tensor1d([0, 1, 0], 'bool');
var f = function () {
tf.logicalOr(a, b);
};
expect(f).toThrowError();
});
it('Tensor2D', 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, 0, 1], [0, 0, 0]], [2, 3], 'bool');
b = tf.tensor2d([[0, 0, 0], [0, 1, 0]], [2, 3], 'bool');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalOr(a, b).data()];
case 1:
_a.apply(void 0, [_c.sent(), [1, 0, 1, 0, 1, 0]]);
a = tf.tensor2d([[0, 0, 0], [1, 1, 1]], [2, 3], 'bool');
b = tf.tensor2d([[0, 0, 0], [1, 1, 1]], [2, 3], 'bool');
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalOr(a, b).data()];
case 2:
_b.apply(void 0, [_c.sent(), [0, 0, 0, 1, 1, 1]]);
return [2 /*return*/];
}
});
}); });
it('broadcasting Tensor2D shapes', 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], [0]], [2, 1], 'bool');
b = tf.tensor2d([[0, 0, 0], [0, 1, 0]], [2, 3], 'bool');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalOr(a, b).data()];
case 1:
_a.apply(void 0, [_b.sent(), [1, 1, 1, 0, 1, 0]]);
return [2 /*return*/];
}
});
}); });
it('Tensor3D', 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], [0], [1]], [[0], [0], [0]]], [2, 3, 1], 'bool');
b = tf.tensor3d([[[0], [0], [1]], [[1], [0], [0]]], [2, 3, 1], 'bool');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalOr(a, b).data()];
case 1:
_a.apply(void 0, [_c.sent(), [1, 0, 1, 1, 0, 0]]);
a = tf.tensor3d([[[0], [0], [0]], [[1], [1], [1]]], [2, 3, 1], 'bool');
b = tf.tensor3d([[[0], [0], [0]], [[1], [1], [1]]], [2, 3, 1], 'bool');
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalOr(a, b).data()];
case 2:
_b.apply(void 0, [_c.sent(), [0, 0, 0, 1, 1, 1]]);
return [2 /*return*/];
}
});
}); });
it('broadcasting Tensor3D shapes', 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], [0, 0], [1, 1]], [[0, 0], [0, 1], [0, 0]]], [2, 3, 2], 'bool');
b = tf.tensor3d([[[0], [0], [1]], [[1], [0], [0]]], [2, 3, 1], 'bool');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalOr(a, b).data()];
case 1:
_a.apply(void 0, [_b.sent(), [1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 0, 0]]);
return [2 /*return*/];
}
});
}); });
it('Tensor4D', 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, 0, 1, 0], [2, 2, 1, 1], 'bool');
b = tf.tensor4d([0, 1, 0, 0], [2, 2, 1, 1], 'bool');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalOr(a, b).data()];
case 1:
_a.apply(void 0, [_d.sent(), [1, 1, 1, 0]]);
a = tf.tensor4d([0, 0, 0, 0], [2, 2, 1, 1], 'bool');
b = tf.tensor4d([0, 0, 0, 0], [2, 2, 1, 1], 'bool');
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalOr(a, b).data()];
case 2:
_b.apply(void 0, [_d.sent(), [0, 0, 0, 0]]);
a = tf.tensor4d([1, 1, 1, 1], [2, 2, 1, 1], 'bool');
b = tf.tensor4d([1, 1, 1, 1], [2, 2, 1, 1], 'bool');
_c = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalOr(a, b).data()];
case 3:
_c.apply(void 0, [_d.sent(), [1, 1, 1, 1]]);
return [2 /*return*/];
}
});
}); });
it('broadcasting Tensor4D shapes', 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, 0, 1, 0], [2, 2, 1, 1], 'bool');
b = tf.tensor4d([[[[1, 0]], [[0, 0]]], [[[0, 0]], [[1, 1]]]], [2, 2, 1, 2], 'bool');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalOr(a, b).data()];
case 1:
_a.apply(void 0, [_b.sent(), [1, 1, 0, 0, 1, 1, 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 = [true, false, false];
b = [false, true, false];
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalOr(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, 0, 0], 'bool');
b = [false, true, false];
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, a.logicalOr(b).data()];
case 1:
_a.apply(void 0, [_b.sent(), [1, 1, 0]]);
return [2 /*return*/];
}
});
}); });
it('throws when passed a as a non-tensor', function () {
expect(function () { return tf.logicalOr({}, tf.scalar(1, 'bool')); })
.toThrowError(/Argument 'a' passed to 'logicalOr' must be a Tensor/);
});
it('throws when passed b as a non-tensor', function () {
expect(function () { return tf.logicalOr(tf.scalar(1, 'bool'), {}); })
.toThrowError(/Argument 'b' passed to 'logicalOr' 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, 0, 0, 1];
b = [0, 1, 0, 1];
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalOr(a, b).data()];
case 1:
_a.apply(void 0, [_b.sent(), [1, 1, 0, 1]]);
return [2 /*return*/];
}
});
}); });
});
jasmine_util_1.describeWithFlags('logicalXor', jasmine_util_1.ALL_ENVS, function () {
it('Tensor1D.', 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, 0, 0], 'bool');
b = tf.tensor1d([0, 1, 0], 'bool');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalXor(a, b).data()];
case 1:
_a.apply(void 0, [_d.sent(), [1, 1, 0]]);
a = tf.tensor1d([0, 0, 0], 'bool');
b = tf.tensor1d([0, 0, 0], 'bool');
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalXor(a, b).data()];
case 2:
_b.apply(void 0, [_d.sent(), [0, 0, 0]]);
a = tf.tensor1d([1, 1], 'bool');
b = tf.tensor1d([1, 1], 'bool');
_c = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalXor(a, b).data()];
case 3:
_c.apply(void 0, [_d.sent(), [0, 0]]);
return [2 /*return*/];
}
});
}); });
it('mismatched Tensor1D shapes', function () {
var a = tf.tensor1d([1, 0], 'bool');
var b = tf.tensor1d([0, 1, 0], 'bool');
var f = function () {
tf.logicalXor(a, b);
};
expect(f).toThrowError();
});
// Tensor2D:
it('Tensor2D', 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, 0, 1], [0, 0, 0]], [2, 3], 'bool');
b = tf.tensor2d([[0, 0, 0], [0, 1, 0]], [2, 3], 'bool');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalXor(a, b).data()];
case 1:
_a.apply(void 0, [_c.sent(), [1, 0, 1, 0, 1, 0]]);
a = tf.tensor2d([[0, 0, 0], [1, 1, 1]], [2, 3], 'bool');
b = tf.tensor2d([[0, 0, 0], [1, 1, 1]], [2, 3], 'bool');
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalXor(a, b).data()];
case 2:
_b.apply(void 0, [_c.sent(), [0, 0, 0, 0, 0, 0]]);
return [2 /*return*/];
}
});
}); });
it('broadcasting Tensor2D shapes', 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], [0]], [2, 1], 'bool');
b = tf.tensor2d([[0, 0, 0], [0, 1, 0]], [2, 3], 'bool');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalXor(a, b).data()];
case 1:
_a.apply(void 0, [_b.sent(), [1, 1, 1, 0, 1, 0]]);
return [2 /*return*/];
}
});
}); });
// Tensor3D:
it('Tensor3D', 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], [0], [1]], [[0], [0], [0]]], [2, 3, 1], 'bool');
b = tf.tensor3d([[[0], [0], [1]], [[1], [0], [0]]], [2, 3, 1], 'bool');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalXor(a, b).data()];
case 1:
_a.apply(void 0, [_c.sent(), [1, 0, 0, 1, 0, 0]]);
a = tf.tensor3d([[[0], [0], [0]], [[1], [1], [1]]], [2, 3, 1], 'bool');
b = tf.tensor3d([[[0], [0], [0]], [[1], [1], [1]]], [2, 3, 1], 'bool');
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalXor(a, b).data()];
case 2:
_b.apply(void 0, [_c.sent(), [0, 0, 0, 0, 0, 0]]);
return [2 /*return*/];
}
});
}); });
it('broadcasting Tensor3D shapes', 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], [0, 0], [1, 1]], [[0, 0], [0, 1], [0, 0]]], [2, 3, 2], 'bool');
b = tf.tensor3d([[[0], [0], [1]], [[1], [0], [0]]], [2, 3, 1], 'bool');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalXor(a, b).data()];
case 1:
_a.apply(void 0, [_b.sent(), [1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0]]);
return [2 /*return*/];
}
});
}); });
// Tensor4D:
it('Tensor4D', 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, 0, 1, 0], [2, 2, 1, 1], 'bool');
b = tf.tensor4d([0, 1, 1, 0], [2, 2, 1, 1], 'bool');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalXor(a, b).data()];
case 1:
_a.apply(void 0, [_d.sent(), [1, 1, 0, 0]]);
a = tf.tensor4d([0, 0, 0, 0], [2, 2, 1, 1], 'bool');
b = tf.tensor4d([0, 0, 0, 0], [2, 2, 1, 1], 'bool');
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalXor(a, b).data()];
case 2:
_b.apply(void 0, [_d.sent(), [0, 0, 0, 0]]);
a = tf.tensor4d([1, 1, 1, 1], [2, 2, 1, 1], 'bool');
b = tf.tensor4d([1, 1, 1, 1], [2, 2, 1, 1], 'bool');
_c = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalXor(a, b).data()];
case 3:
_c.apply(void 0, [_d.sent(), [0, 0, 0, 0]]);
return [2 /*return*/];
}
});
}); });
it('broadcasting Tensor4D shapes', 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, 0, 1, 0], [2, 2, 1, 1], 'bool');
b = tf.tensor4d([[[[1, 0]], [[0, 0]]], [[[0, 0]], [[1, 1]]]], [2, 2, 1, 2], 'bool');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalXor(a, b).data()];
case 1:
_a.apply(void 0, [_b.sent(), [0, 1, 0, 0, 1, 1, 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 = [true, false, false];
b = [false, true, false];
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalXor(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, 0, 0], 'bool');
b = [false, true, false];
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, a.logicalXor(b).data()];
case 1:
_a.apply(void 0, [_b.sent(), [1, 1, 0]]);
return [2 /*return*/];
}
});
}); });
it('throws when passed a as a non-tensor', function () {
expect(function () { return tf.logicalXor({}, tf.scalar(1, 'bool')); })
.toThrowError(/Argument 'a' passed to 'logicalXor' must be a Tensor/);
});
it('throws when passed b as a non-tensor', function () {
expect(function () { return tf.logicalXor(tf.scalar(1, 'bool'), {}); })
.toThrowError(/Argument 'b' passed to 'logicalXor' 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, 0, 0, 1];
b = [0, 1, 0, 1];
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.logicalXor(a, b).data()];
case 1:
_a.apply(void 0, [_b.sent(), [1, 1, 0, 0]]);
return [2 /*return*/];
}
});
}); });
});
jasmine_util_1.describeWithFlags('where', jasmine_util_1.ALL_ENVS, function () {
it('Scalars.', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b, c, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.scalar(10);
b = tf.scalar(20);
c = tf.scalar(1, 'bool');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.where(c, a, b).data()];
case 1:
_a.apply(void 0, [_b.sent(), [10]]);
return [2 /*return*/];
}
});
}); });
it('Invalid condition type', function () {
var c = tf.tensor1d([1, 0, 1, 0], 'int32');
var a = tf.tensor1d([10, 10, 10, 10], 'bool');
var b = tf.tensor1d([20, 20, 20, 20], 'bool');
var f = function () {
tf.where(c, a, b);
};
expect(f).toThrowError();
});
it('Tensor1D', function () { return __awaiter(_this, void 0, void 0, function () {
var c, a, b, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
c = tf.tensor1d([1, 0, 1, 0], 'bool');
a = tf.tensor1d([10, 10, 10, 10]);
b = tf.tensor1d([20, 20, 20, 20]);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.where(c, a, b).data()];
case 1:
_a.apply(void 0, [_b.sent(), [10, 20, 10, 20]]);
return [2 /*return*/];
}
});
}); });
it('Tensor1D different a/b shapes', function () {
var c = tf.tensor1d([1, 0, 1, 0], 'bool');
var a = tf.tensor1d([10, 10, 10]);
var b = tf.tensor1d([20, 20, 20, 20]);
var f = function () {
tf.where(c, a, b);
};
expect(f).toThrowError();
c = tf.tensor1d([1, 0, 1, 0], 'bool');
a = tf.tensor1d([10, 10, 10, 10]);
b = tf.tensor1d([20, 20, 20]);
f = function () {
tf.where(c, a, b);
};
});
it('Tensor1D different condition/a shapes', function () {
var c = tf.tensor1d([1, 0, 1, 0], 'bool');
var a = tf.tensor1d([10, 10, 10]);
var b = tf.tensor1d([20, 20, 20]);
var f = function () {
tf.where(c, a, b);
};
expect(f).toThrowError();
});
it('Tensor2D', function () { return __awaiter(_this, void 0, void 0, function () {
var c, a, b, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
c = tf.tensor2d([[1, 0], [0, 1]], [2, 2], 'bool');
a = tf.tensor2d([[10, 10], [10, 10]], [2, 2]);
b = tf.tensor2d([[5, 5], [5, 5]], [2, 2]);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.where(c, a, b).data()];
case 1:
_a.apply(void 0, [_b.sent(), [10, 5, 5, 10]]);
return [2 /*return*/];
}
});
}); });
it('Tensor2D different a/b shapes', function () {
var c = tf.tensor2d([[1, 1], [0, 0]], [2, 2], 'bool');
var a = tf.tensor2d([[5, 5, 5], [5, 5, 5]], [2, 3]);
var b = tf.tensor2d([[4, 4], [4, 4]], [2, 2]);
var f = function () {
tf.where(c, a, b);
};
expect(f).toThrowError();
c = tf.tensor2d([[1, 1], [0, 0]], [2, 2], 'bool');
a = tf.tensor2d([[5, 5], [5, 5]], [2, 2]);
b = tf.tensor2d([[4, 4, 4], [4, 4, 4]], [2, 3]);
f = function () {
tf.where(c, a, b);
};
expect(f).toThrowError();
});
it('Tensor2D different condition/a shapes', function () {
var c = tf.tensor2d([[1, 0], [0, 1]], [2, 2], 'bool');
var a = tf.tensor2d([[10, 10, 10], [10, 10, 10]], [2, 3]);
var b = tf.tensor2d([[5, 5, 5], [5, 5, 5]], [2, 3]);
var f = function () {
tf.where(c, a, b);
};
expect(f).toThrowError();
});
it('Tensor2D different `a` dimension w/ condition rank=1', function () { return __awaiter(_this, void 0, void 0, function () {
var c, a, b, f, _a, _b;
return __generator(this, function (_c) {
switch (_c.label) {
case 0:
c = tf.tensor1d([1, 0, 1, 0], 'bool');
a = tf.tensor2d([[10, 10], [10, 10]], [2, 2]);
b = tf.tensor2d([[5, 5], [5, 5]], [2, 2]);
f = function () {
tf.where(c, a, b);
};
expect(f).toThrowError();
a = tf.tensor2d([[10], [10], [10], [10]], [4, 1]);
b = tf.tensor2d([[5], [5], [5], [5]], [4, 1]);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.where(c, a, b).data()];
case 1:
_a.apply(void 0, [_c.sent(), [10, 5, 10, 5]]);
a = tf.tensor2d([[10, 10], [10, 10], [10, 10], [10, 10]], [4, 2]);
b = tf.tensor2d([[5, 5], [5, 5], [5, 5], [5, 5]], [4, 2]);
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.where(c, a, b).data()];
case 2:
_b.apply(void 0, [_c.sent(), [10, 10, 5, 5, 10, 10, 5, 5]]);
return [2 /*return*/];
}
});
}); });
it('Tensor3D', function () { return __awaiter(_this, void 0, void 0, function () {
var c, a, b, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
c = tf.tensor3d([[[1], [0], [1]], [[0], [0], [0]]], [2, 3, 1], 'bool');
a = tf.tensor3d([[[5], [5], [5]], [[5], [5], [5]]], [2, 3, 1]);
b = tf.tensor3d([[[3], [3], [3]], [[3], [3], [3]]], [2, 3, 1]);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.where(c, a, b).data()];
case 1:
_a.apply(void 0, [_b.sent(), [5, 3, 5, 3, 3, 3]]);
return [2 /*return*/];
}
});
}); });
it('Tensor3D with scalar condition', 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.ones([1, 3, 3]);
b = tf.zeros([1, 3, 3]);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.where(tf.ones([1], 'bool'), a, b).data()];
case 1:
_a.apply(void 0, [_c.sent(),
[1, 1, 1, 1, 1, 1, 1, 1, 1]]);
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.where(tf.zeros([1], 'bool'), a, b).data()];
case 2:
_b.apply(void 0, [_c.sent(),
[0, 0, 0, 0, 0, 0, 0, 0, 0]]);
return [2 /*return*/];
}
});
}); });
it('1D condition with higher rank a and b', function () { return __awaiter(_this, void 0, void 0, function () {
var condition, a, b, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
condition = tf.tensor1d([1, 0, 0, 1, 1], 'bool');
a = tf.ones([5, 2, 2]);
b = tf.fill([5, 2, 2], 3);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.where(condition, a, b).data()];
case 1:
_a.apply(void 0, [_b.sent(),
[1, 1, 1, 1, 3, 3, 3, 3, 3, 3, 3, 3, 1, 1, 1, 1, 1, 1, 1, 1]]);
return [2 /*return*/];
}
});
}); });
it('Tensor3D different a/b shapes', function () {
var c = tf.tensor3d([[[1], [0], [1]], [[0], [0], [0]]], [2, 3, 1], 'bool');
var a = tf.tensor3d([[[5], [5]], [[5], [5]]], [2, 2, 1]);
var b = tf.tensor3d([[[3], [3], [3]], [[3], [3], [3]]], [2, 3, 1]);
var f = function () {
tf.where(c, a, b);
};
expect(f).toThrowError();
a = tf.tensor3d([[[5], [5], [5]], [[5], [5], [5]]], [2, 3, 1]);
b = tf.tensor3d([[[3], [3]], [[3], [3]]], [2, 2, 1]);
f = function () {
tf.where(c, a, b);
};
expect(f).toThrowError();
});
it('Tensor3D different condition/a shapes', function () {
var c = tf.tensor3d([[[1], [0]], [[0], [0]]], [2, 2, 1], 'bool');
var a = tf.tensor3d([[[5], [5], [5]], [[5], [5], [5]]], [2, 3, 1]);
var b = tf.tensor3d([[[3], [3], [3]], [[3], [3], [3]]], [2, 3, 1]);
var f = function () {
tf.where(c, a, b);
};
expect(f).toThrowError();
});
it('Tensor3D different `a` dimension w/ condition rank=1', function () { return __awaiter(_this, void 0, void 0, function () {
var c, a, b, f, _a, _b;
return __generator(this, function (_c) {
switch (_c.label) {
case 0:
c = tf.tensor1d([1, 0, 1, 0], 'bool');
a = tf.tensor3d([[[9, 9], [9, 9]], [[9, 9], [9, 9]]], [2, 2, 2]);
b = tf.tensor3d([[[8, 8], [8, 8]], [[8, 8], [8, 8]]], [2, 2, 2]);
f = function () {
tf.where(c, a, b);
};
expect(f).toThrowError();
a = tf.tensor3d([[[9]], [[9]], [[9]], [[9]]], [4, 1, 1]);
b = tf.tensor3d([[[8]], [[8]], [[8]], [[8]]], [4, 1, 1]);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, tf.where(c, a, b).data()];
case 1:
_a.apply(void 0, [_c.sent(), [9, 8, 9, 8]]);
a = tf.tensor3d([[[9], [9]], [[9], [9]], [[9], [9]], [[9], [9]]], [4, 2, 1]);
b = tf.tensor3d([[[8], [8]], [[8], [8]], [[8], [8]], [[8], [8]]], [4, 2, 1]);
_b = test_util_1.expectArraysClose;