@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
1,114 lines • 152 kB
JavaScript
"use strict";
/**
* @license
* Copyright 2017 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 ops_1 = require("./ops/ops");
var tensor_1 = require("./tensor");
var test_util_1 = require("./test_util");
var util_1 = require("./util");
/** Private method used by these tests. Encodes strings into utf-8 bytes. */
function encodeStrings(a) {
for (var i = 0; i < a.length; i++) {
var val = a[i];
if (Array.isArray(val)) {
encodeStrings(val);
}
else {
a[i] = util_1.encodeString(val);
}
}
return a;
}
jasmine_util_1.describeWithFlags('tensor', jasmine_util_1.ALL_ENVS, function () {
it('Tensors of arbitrary size', function () { return __awaiter(_this, void 0, void 0, function () {
var t, _a, _b, _c;
return __generator(this, function (_d) {
switch (_d.label) {
case 0:
t = tf.tensor1d([1, 2, 3]);
expect(t.rank).toBe(1);
expect(t.size).toBe(3);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, t.data()];
case 1:
_a.apply(void 0, [_d.sent(), [1, 2, 3]]);
// [[1, 2, 3]]
t = tf.tensor2d([1, 2, 3], [1, 3]);
expect(t.rank).toBe(2);
expect(t.size).toBe(3);
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, t.data()];
case 2:
_b.apply(void 0, [_d.sent(), [1, 2, 3]]);
// [[1, 2, 3],
// [4, 5, 6]]
t = tf.tensor2d([1, 2, 3, 4, 5, 6], [2, 3]);
expect(t.rank).toBe(2);
expect(t.size).toBe(6);
_c = test_util_1.expectArraysClose;
return [4 /*yield*/, t.data()];
case 3:
_c.apply(void 0, [_d.sent(), [1, 2, 3, 4, 5, 6]]);
// Shape mismatch with the values.
expect(function () { return tf.tensor2d([1], [1, 2]); }).toThrowError();
return [2 /*return*/];
}
});
}); });
it('Tensors of explicit size', function () { return __awaiter(_this, void 0, void 0, function () {
var t, t4, _a, x, _b, z, _c;
return __generator(this, function (_d) {
switch (_d.label) {
case 0:
t = tf.tensor1d([5, 3, 2]);
expect(t.rank).toBe(1);
expect(t.shape).toEqual([3]);
// tslint:disable-next-line:no-any
expect(function () { return tf.tensor3d([1, 2], [1, 2, 3, 5]); }).toThrowError();
t4 = tf.tensor4d([1, 2, 3, 4], [1, 2, 1, 2]);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, t4.data()];
case 1:
_a.apply(void 0, [_d.sent(), [1, 2, 3, 4]]);
x = tf.ones([3, 4, 2]);
expect(x.rank).toBe(3);
expect(x.size).toBe(24);
_b = test_util_1.expectArraysClose;
return [4 /*yield*/, x.data()];
case 2:
_b.apply(void 0, [_d.sent(), [
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1
]]);
z = tf.zeros([3, 4, 2]);
expect(z.rank).toBe(3);
expect(z.size).toBe(24);
_c = test_util_1.expectArraysClose;
return [4 /*yield*/, z.data()];
case 3:
_c.apply(void 0, [_d.sent(), [
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
]]);
return [2 /*return*/];
}
});
}); });
it('Tensor dataSync CPU --> GPU', function () { return __awaiter(_this, void 0, void 0, function () {
var a, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.tensor2d([1, 2, 3, 4, 5, 6], [3, 2]);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, a.data()];
case 1:
_a.apply(void 0, [_b.sent(), new Float32Array([1, 2, 3, 4, 5, 6])]);
return [2 /*return*/];
}
});
}); });
it('Tensor.data() CPU --> GPU', function () { return __awaiter(_this, void 0, void 0, function () {
var a, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.tensor2d([1, 2, 3, 4, 5, 6], [3, 2]);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, a.data()];
case 1:
_a.apply(void 0, [_b.sent(), new Float32Array([1, 2, 3, 4, 5, 6])]);
return [2 /*return*/];
}
});
}); });
it('Tensor.data() packed CPU --> GPU', function () { return __awaiter(_this, void 0, void 0, function () {
var a, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.tensor2d([1, 2, 3, 4, 5, 6], [3, 2]);
tf.matMul(a, tf.tensor2d([1, 2], [2, 1]));
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, a.data()];
case 1:
_a.apply(void 0, [_b.sent(), new Float32Array([1, 2, 3, 4, 5, 6])]);
return [2 /*return*/];
}
});
}); });
it('Scalar basic methods', function () { return __awaiter(_this, void 0, void 0, function () {
var a, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.scalar(5);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, a.data()];
case 1:
_a.apply(void 0, [_b.sent(), [5]]);
expect(a.rank).toBe(0);
expect(a.size).toBe(1);
expect(a.shape).toEqual([]);
return [2 /*return*/];
}
});
}); });
it('indexToLoc Scalar', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b;
return __generator(this, function (_a) {
switch (_a.label) {
case 0: return [4 /*yield*/, tf.scalar(0).buffer()];
case 1:
a = _a.sent();
expect(a.indexToLoc(0)).toEqual([]);
return [4 /*yield*/, tf.zeros([]).buffer()];
case 2:
b = _a.sent();
expect(b.indexToLoc(0)).toEqual([]);
return [2 /*return*/];
}
});
}); });
it('indexToLoc Tensor1D', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b;
return __generator(this, function (_a) {
switch (_a.label) {
case 0: return [4 /*yield*/, tf.zeros([3]).buffer()];
case 1:
a = _a.sent();
expect(a.indexToLoc(0)).toEqual([0]);
expect(a.indexToLoc(1)).toEqual([1]);
expect(a.indexToLoc(2)).toEqual([2]);
return [4 /*yield*/, tf.zeros([3]).buffer()];
case 2:
b = _a.sent();
expect(b.indexToLoc(0)).toEqual([0]);
expect(b.indexToLoc(1)).toEqual([1]);
expect(b.indexToLoc(2)).toEqual([2]);
return [2 /*return*/];
}
});
}); });
it('indexToLoc Tensor2D', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b;
return __generator(this, function (_a) {
switch (_a.label) {
case 0: return [4 /*yield*/, tf.zeros([3, 2]).buffer()];
case 1:
a = _a.sent();
expect(a.indexToLoc(0)).toEqual([0, 0]);
expect(a.indexToLoc(1)).toEqual([0, 1]);
expect(a.indexToLoc(2)).toEqual([1, 0]);
expect(a.indexToLoc(3)).toEqual([1, 1]);
expect(a.indexToLoc(4)).toEqual([2, 0]);
expect(a.indexToLoc(5)).toEqual([2, 1]);
return [4 /*yield*/, tf.zeros([3, 2]).buffer()];
case 2:
b = _a.sent();
expect(b.indexToLoc(0)).toEqual([0, 0]);
expect(b.indexToLoc(1)).toEqual([0, 1]);
expect(b.indexToLoc(2)).toEqual([1, 0]);
expect(b.indexToLoc(3)).toEqual([1, 1]);
expect(b.indexToLoc(4)).toEqual([2, 0]);
expect(b.indexToLoc(5)).toEqual([2, 1]);
return [2 /*return*/];
}
});
}); });
it('indexToLoc Tensor3D', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b;
return __generator(this, function (_a) {
switch (_a.label) {
case 0: return [4 /*yield*/, tf.zeros([3, 2, 2]).buffer()];
case 1:
a = _a.sent();
expect(a.indexToLoc(0)).toEqual([0, 0, 0]);
expect(a.indexToLoc(1)).toEqual([0, 0, 1]);
expect(a.indexToLoc(2)).toEqual([0, 1, 0]);
expect(a.indexToLoc(3)).toEqual([0, 1, 1]);
expect(a.indexToLoc(4)).toEqual([1, 0, 0]);
expect(a.indexToLoc(5)).toEqual([1, 0, 1]);
expect(a.indexToLoc(11)).toEqual([2, 1, 1]);
return [4 /*yield*/, tf.zeros([3, 2, 2]).buffer()];
case 2:
b = _a.sent();
expect(b.indexToLoc(0)).toEqual([0, 0, 0]);
expect(b.indexToLoc(1)).toEqual([0, 0, 1]);
expect(b.indexToLoc(2)).toEqual([0, 1, 0]);
expect(b.indexToLoc(3)).toEqual([0, 1, 1]);
expect(b.indexToLoc(4)).toEqual([1, 0, 0]);
expect(b.indexToLoc(5)).toEqual([1, 0, 1]);
expect(b.indexToLoc(11)).toEqual([2, 1, 1]);
return [2 /*return*/];
}
});
}); });
it('indexToLoc Tensor 5D', function () { return __awaiter(_this, void 0, void 0, function () {
var values, a;
return __generator(this, function (_a) {
switch (_a.label) {
case 0:
values = new Float32Array([1, 2, 3, 4]);
return [4 /*yield*/, ops_1.tensor5d(values, [2, 1, 1, 1, 2]).buffer()];
case 1:
a = _a.sent();
expect(a.indexToLoc(0)).toEqual([0, 0, 0, 0, 0]);
expect(a.indexToLoc(1)).toEqual([0, 0, 0, 0, 1]);
expect(a.indexToLoc(2)).toEqual([1, 0, 0, 0, 0]);
expect(a.indexToLoc(3)).toEqual([1, 0, 0, 0, 1]);
return [2 /*return*/];
}
});
}); });
it('locToIndex Scalar', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b;
return __generator(this, function (_a) {
switch (_a.label) {
case 0: return [4 /*yield*/, tf.scalar(0).buffer()];
case 1:
a = _a.sent();
expect(a.locToIndex([])).toEqual(0);
return [4 /*yield*/, tf.zeros([]).buffer()];
case 2:
b = _a.sent();
expect(b.locToIndex([])).toEqual(0);
return [2 /*return*/];
}
});
}); });
it('locToIndex Tensor1D', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b;
return __generator(this, function (_a) {
switch (_a.label) {
case 0: return [4 /*yield*/, tf.zeros([3]).buffer()];
case 1:
a = _a.sent();
expect(a.locToIndex([0])).toEqual(0);
expect(a.locToIndex([1])).toEqual(1);
expect(a.locToIndex([2])).toEqual(2);
return [4 /*yield*/, tf.zeros([3]).buffer()];
case 2:
b = _a.sent();
expect(b.locToIndex([0])).toEqual(0);
expect(b.locToIndex([1])).toEqual(1);
expect(b.locToIndex([2])).toEqual(2);
return [2 /*return*/];
}
});
}); });
it('locToIndex Tensor2D', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b;
return __generator(this, function (_a) {
switch (_a.label) {
case 0: return [4 /*yield*/, tf.zeros([3, 2]).buffer()];
case 1:
a = _a.sent();
expect(a.locToIndex([0, 0])).toEqual(0);
expect(a.locToIndex([0, 1])).toEqual(1);
expect(a.locToIndex([1, 0])).toEqual(2);
expect(a.locToIndex([1, 1])).toEqual(3);
expect(a.locToIndex([2, 0])).toEqual(4);
expect(a.locToIndex([2, 1])).toEqual(5);
return [4 /*yield*/, tf.zeros([3, 2]).buffer()];
case 2:
b = _a.sent();
expect(b.locToIndex([0, 0])).toEqual(0);
expect(b.locToIndex([0, 1])).toEqual(1);
expect(b.locToIndex([1, 0])).toEqual(2);
expect(b.locToIndex([1, 1])).toEqual(3);
expect(b.locToIndex([2, 0])).toEqual(4);
expect(b.locToIndex([2, 1])).toEqual(5);
return [2 /*return*/];
}
});
}); });
it('locToIndex Tensor3D', function () { return __awaiter(_this, void 0, void 0, function () {
var a, b;
return __generator(this, function (_a) {
switch (_a.label) {
case 0: return [4 /*yield*/, tf.zeros([3, 2, 2]).buffer()];
case 1:
a = _a.sent();
expect(a.locToIndex([0, 0, 0])).toEqual(0);
expect(a.locToIndex([0, 0, 1])).toEqual(1);
expect(a.locToIndex([0, 1, 0])).toEqual(2);
expect(a.locToIndex([0, 1, 1])).toEqual(3);
expect(a.locToIndex([1, 0, 0])).toEqual(4);
expect(a.locToIndex([1, 0, 1])).toEqual(5);
expect(a.locToIndex([2, 1, 1])).toEqual(11);
return [4 /*yield*/, tf.zeros([3, 2, 2]).buffer()];
case 2:
b = _a.sent();
expect(b.locToIndex([0, 0, 0])).toEqual(0);
expect(b.locToIndex([0, 0, 1])).toEqual(1);
expect(b.locToIndex([0, 1, 0])).toEqual(2);
expect(b.locToIndex([0, 1, 1])).toEqual(3);
expect(b.locToIndex([1, 0, 0])).toEqual(4);
expect(b.locToIndex([1, 0, 1])).toEqual(5);
expect(b.locToIndex([2, 1, 1])).toEqual(11);
return [2 /*return*/];
}
});
}); });
it('Tensor assignability (asserts compiler)', function () {
// This test asserts compilation, not doing any run-time assertion.
var a = null;
var b = a;
expect(b).toBeNull();
var a1 = null;
var b1 = a1;
expect(b1).toBeNull();
var a2 = null;
var b2 = a2;
expect(b2).toBeNull();
var a3 = null;
var b3 = a3;
expect(b3).toBeNull();
var a4 = null;
var b4 = a4;
expect(b4).toBeNull();
});
it('tf.tensor1d() from number[]', function () { return __awaiter(_this, void 0, void 0, function () {
var a, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.tensor1d([1, 2, 3]);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, a.data()];
case 1:
_a.apply(void 0, [_b.sent(), [1, 2, 3]]);
return [2 /*return*/];
}
});
}); });
it('tf.tensor1d() throw error with null input value', function () {
expect(function () { return tf.tensor1d(null); })
.toThrowError('The input to the tensor constructor ' +
'must be a non-null value.');
});
it('tf.tensor1d() from string[]', function () { return __awaiter(_this, void 0, void 0, function () {
var a, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.tensor1d(['aa', 'bb', 'cc']);
expect(a.dtype).toBe('string');
expect(a.shape).toEqual([3]);
_a = test_util_1.expectArraysEqual;
return [4 /*yield*/, a.data()];
case 1:
_a.apply(void 0, [_b.sent(), ['aa', 'bb', 'cc']]);
return [2 /*return*/];
}
});
}); });
it('tf.tensor1d() from encoded strings', function () { return __awaiter(_this, void 0, void 0, function () {
var bytes, a, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
bytes = encodeStrings(['aa', 'bb', 'cc']);
a = tf.tensor1d(bytes, 'string');
expect(a.dtype).toBe('string');
expect(a.shape).toEqual([3]);
_a = test_util_1.expectArraysEqual;
return [4 /*yield*/, a.data()];
case 1:
_a.apply(void 0, [_b.sent(), ['aa', 'bb', 'cc']]);
return [2 /*return*/];
}
});
}); });
it('tf.tensor1d() from encoded strings without dtype errors', function () { return __awaiter(_this, void 0, void 0, function () {
var bytes;
return __generator(this, function (_a) {
bytes = encodeStrings(['aa', 'bb', 'cc']);
expect(function () { return tf.tensor1d(bytes); }).toThrowError();
return [2 /*return*/];
});
}); });
it('tf.tensor1d() from encoded strings, shape mismatch', function () {
var bytes = encodeStrings([['aa'], ['bb'], ['cc']]);
expect(function () { return tf.tensor1d(bytes); }).toThrowError();
});
it('tf.tensor1d() from number[][], shape mismatch', function () {
// tslint:disable-next-line:no-any
expect(function () { return tf.tensor1d([[1], [2], [3]]); }).toThrowError();
});
it('tf.tensor1d() from string[][], shape mismatch', function () {
// tslint:disable-next-line:no-any
expect(function () { return tf.tensor1d([['a'], ['b'], ['c']]); }).toThrowError();
});
it('tf.tensor2d() from number[][]', function () { return __awaiter(_this, void 0, void 0, function () {
var a, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.tensor2d([[1, 2, 3], [4, 5, 6]], [2, 3]);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, a.data()];
case 1:
_a.apply(void 0, [_b.sent(), [1, 2, 3, 4, 5, 6]]);
return [2 /*return*/];
}
});
}); });
it('tf.tensor2d() from string[][]', function () { return __awaiter(_this, void 0, void 0, function () {
var a, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.tensor2d([['aa', 'bb'], ['cc', 'dd']]);
expect(a.dtype).toBe('string');
expect(a.shape).toEqual([2, 2]);
_a = test_util_1.expectArraysEqual;
return [4 /*yield*/, a.data()];
case 1:
_a.apply(void 0, [_b.sent(), ['aa', 'bb', 'cc', 'dd']]);
return [2 /*return*/];
}
});
}); });
it('tf.tensor2d() from encoded strings', function () { return __awaiter(_this, void 0, void 0, function () {
var bytes, a, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
bytes = encodeStrings([['aa', 'bb'], ['cc', 'dd']]);
a = tf.tensor2d(bytes, [2, 2], 'string');
expect(a.dtype).toBe('string');
expect(a.shape).toEqual([2, 2]);
_a = test_util_1.expectArraysEqual;
return [4 /*yield*/, a.data()];
case 1:
_a.apply(void 0, [_b.sent(), ['aa', 'bb', 'cc', 'dd']]);
return [2 /*return*/];
}
});
}); });
it('tf.tensor2d() from encoded strings without dtype errors', function () { return __awaiter(_this, void 0, void 0, function () {
var bytes;
return __generator(this, function (_a) {
bytes = encodeStrings([['aa', 'bb'], ['cc', 'dd']]);
expect(function () { return tf.tensor2d(bytes); }).toThrowError();
return [2 /*return*/];
});
}); });
it('tf.tensor2d() from encoded strings, shape mismatch', function () {
var bytes = encodeStrings([['aa', 'bb'], ['cc', 'dd']]);
expect(function () { return tf.tensor2d(bytes, [3, 2], 'string'); }).toThrowError();
});
it('tf.tensor2d() requires shape to be of length 2', function () {
// tslint:disable-next-line:no-any
var shape = [4];
expect(function () { return tf.tensor2d([1, 2, 3, 4], shape); }).toThrowError();
});
it('tf.tensor2d() from number[][], but shape does not match', function () {
// Actual shape is [2, 3].
expect(function () { return tf.tensor2d([[1, 2, 3], [4, 5, 6]], [3, 2]); }).toThrowError();
});
it('tf.tensor2d() from string[][], but shape does not match', function () {
// Actual shape is [2, 3].
var vals = [['a', 'b', 'c'], ['d', 'e', 'f']];
expect(function () { return tf.tensor2d(vals, [3, 2]); }).toThrowError();
});
it('tf.tensor2d() from number[], but no shape throws error', function () {
expect(function () { return tf.tensor2d([1, 2, 3, 4]); }).toThrowError();
});
it('tf.tensor2d() from string[], but no shape throws error', function () {
expect(function () { return tf.tensor2d(['a', 'b', 'c', 'd']); }).toThrowError();
});
it('tf.tensor2d() throw error with null input value', function () {
expect(function () { return tf.tensor2d(null); })
.toThrowError('The input to the tensor constructor ' +
'must be a non-null value.');
});
it('tensor3d() from number[][][]', function () { return __awaiter(_this, void 0, void 0, function () {
var a, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.tensor3d([[[1], [2], [3]], [[4], [5], [6]]], [2, 3, 1]);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, a.data()];
case 1:
_a.apply(void 0, [_b.sent(), [1, 2, 3, 4, 5, 6]]);
return [2 /*return*/];
}
});
}); });
it('tensor3d() from string[][][]', function () { return __awaiter(_this, void 0, void 0, function () {
var vals, a, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
vals = [[['a'], ['b'], ['c']], [['d'], ['e'], ['f']]];
a = tf.tensor3d(vals, [2, 3, 1]);
expect(a.dtype).toBe('string');
expect(a.shape).toEqual([2, 3, 1]);
_a = test_util_1.expectArraysEqual;
return [4 /*yield*/, a.data()];
case 1:
_a.apply(void 0, [_b.sent(), ['a', 'b', 'c', 'd', 'e', 'f']]);
return [2 /*return*/];
}
});
}); });
it('tf.tensor3d() from encoded strings', function () { return __awaiter(_this, void 0, void 0, function () {
var bytes, a, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
bytes = encodeStrings([[['a'], ['b'], ['c']], [['d'], ['e'], ['f']]]);
a = tf.tensor3d(bytes, [2, 3, 1], 'string');
expect(a.dtype).toBe('string');
expect(a.shape).toEqual([2, 3, 1]);
_a = test_util_1.expectArraysEqual;
return [4 /*yield*/, a.data()];
case 1:
_a.apply(void 0, [_b.sent(), ['a', 'b', 'c', 'd', 'e', 'f']]);
return [2 /*return*/];
}
});
}); });
it('tf.tensor3d() from encoded strings without dtype errors', function () { return __awaiter(_this, void 0, void 0, function () {
var bytes;
return __generator(this, function (_a) {
bytes = encodeStrings([[['a'], ['b'], ['c']], [['d'], ['e'], ['f']]]);
expect(function () { return tf.tensor3d(bytes); }).toThrowError();
return [2 /*return*/];
});
}); });
it('tf.tensor3d() from encoded strings, shape mismatch', function () {
var bytes = encodeStrings([[['a'], ['b'], ['c']], [['d'], ['e'], ['f']]]);
// Actual shape is [2, 3, 1].
expect(function () { return tf.tensor3d(bytes, [3, 2, 1], 'string'); })
.toThrowError();
});
it('tensor3d() from number[][][], but shape does not match', function () {
var values = [[[1], [2], [3]], [[4], [5], [6]]];
// Actual shape is [2, 3, 1].
expect(function () { return tf.tensor3d(values, [3, 2, 1]); }).toThrowError();
});
it('tf.tensor3d() from number[], but no shape throws error', function () {
expect(function () { return tf.tensor3d([1, 2, 3, 4]); }).toThrowError();
});
it('tf.tensor3d() requires shape to be of length 3', function () {
// tslint:disable-next-line:no-any
var shape = [4, 1];
expect(function () { return tf.tensor3d([1, 2, 3, 4], shape); }).toThrowError();
});
it('tf.tensor3d() throw error with null input value', function () {
expect(function () { return tf.tensor3d(null); })
.toThrowError('The input to the tensor constructor ' +
'must be a non-null value.');
});
it('tensor4d() from number[][][][]', function () { return __awaiter(_this, void 0, void 0, function () {
var a, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.tensor4d([[[[1]], [[2]]], [[[4]], [[5]]]], [2, 2, 1, 1]);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, a.data()];
case 1:
_a.apply(void 0, [_b.sent(), [1, 2, 4, 5]]);
return [2 /*return*/];
}
});
}); });
it('tensor4d() from string[][][][]', function () { return __awaiter(_this, void 0, void 0, function () {
var vals, a, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
vals = [[[['a']], [['b']]], [[['c']], [['d']]]];
a = tf.tensor4d(vals, [2, 2, 1, 1]);
expect(a.dtype).toBe('string');
expect(a.shape).toEqual([2, 2, 1, 1]);
_a = test_util_1.expectArraysEqual;
return [4 /*yield*/, a.data()];
case 1:
_a.apply(void 0, [_b.sent(), ['a', 'b', 'c', 'd']]);
return [2 /*return*/];
}
});
}); });
it('tf.tensor4d() from encoded strings', function () { return __awaiter(_this, void 0, void 0, function () {
var bytes, a, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
bytes = encodeStrings([[[['a']], [['b']]], [[['c']], [['d']]]]);
a = tf.tensor4d(bytes, [2, 2, 1, 1], 'string');
expect(a.dtype).toBe('string');
expect(a.shape).toEqual([2, 2, 1, 1]);
_a = test_util_1.expectArraysEqual;
return [4 /*yield*/, a.data()];
case 1:
_a.apply(void 0, [_b.sent(), ['a', 'b', 'c', 'd']]);
return [2 /*return*/];
}
});
}); });
it('tf.tensor4d() from encoded strings without dtype errors', function () { return __awaiter(_this, void 0, void 0, function () {
var bytes;
return __generator(this, function (_a) {
bytes = encodeStrings([[[['a']], [['b']]], [[['c']], [['d']]]]);
expect(function () { return tf.tensor4d(bytes); }).toThrowError();
return [2 /*return*/];
});
}); });
it('tf.tensor4d() from encoded strings, shape mismatch', function () {
var bytes = encodeStrings([[[['a']], [['b']]], [[['c']], [['d']]]]);
// Actual shape is [2, 2, 1. 1].
expect(function () { return tf.tensor4d(bytes, [2, 1, 2, 1], 'string'); })
.toThrowError();
});
it('tensor4d() from string[][][][] infer shape', function () { return __awaiter(_this, void 0, void 0, function () {
var vals, a, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
vals = [[[['a']], [['b']]], [[['c']], [['d']]]];
a = tf.tensor4d(vals);
expect(a.dtype).toBe('string');
expect(a.shape).toEqual([2, 2, 1, 1]);
_a = test_util_1.expectArraysEqual;
return [4 /*yield*/, a.data()];
case 1:
_a.apply(void 0, [_b.sent(), ['a', 'b', 'c', 'd']]);
return [2 /*return*/];
}
});
}); });
it('tensor4d() from number[][][][], but shape does not match', function () {
var f = function () {
// Actual shape is [2, 2, 1, 1].
tf.tensor4d([[[[1]], [[2]]], [[[4]], [[5]]]], [2, 1, 2, 1]);
};
expect(f).toThrowError();
});
it('tf.tensor4d() from number[], but no shape throws error', function () {
expect(function () { return tf.tensor4d([1, 2, 3, 4]); }).toThrowError();
});
it('tf.tensor4d() requires shape to be of length 4', function () {
// tslint:disable-next-line:no-any
var shape = [4, 1];
expect(function () { return tf.tensor4d([1, 2, 3, 4], shape); }).toThrowError();
});
it('tf.tensor4d() throw error with null input value', function () {
expect(function () { return tf.tensor4d(null); })
.toThrowError('The input to the tensor constructor ' +
'must be a non-null value.');
});
it('tf.tensor5d() throw error with null input value', function () {
expect(function () { return tf.tensor5d(null); })
.toThrowError('The input to the tensor constructor ' +
'must be a non-null value.');
});
it('tf.tensor6d() throw error with null input value', function () {
expect(function () { return tf.tensor6d(null); })
.toThrowError('The input to the tensor constructor ' +
'must be a non-null value.');
});
it('default dtype', function () { return __awaiter(_this, void 0, void 0, function () {
var a, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.scalar(3);
expect(a.dtype).toBe('float32');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, a.data()];
case 1:
_a.apply(void 0, [_b.sent(), 3]);
return [2 /*return*/];
}
});
}); });
it('float32 dtype', function () { return __awaiter(_this, void 0, void 0, function () {
var a, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.scalar(3, 'float32');
expect(a.dtype).toBe('float32');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, a.data()];
case 1:
_a.apply(void 0, [_b.sent(), 3]);
return [2 /*return*/];
}
});
}); });
it('int32 dtype', function () { return __awaiter(_this, void 0, void 0, function () {
var a, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.scalar(3, 'int32');
expect(a.dtype).toBe('int32');
_a = test_util_1.expectArraysEqual;
return [4 /*yield*/, a.data()];
case 1:
_a.apply(void 0, [_b.sent(), 3]);
return [2 /*return*/];
}
});
}); });
it('int32 dtype, 3.9 => 3, like numpy', function () { return __awaiter(_this, void 0, void 0, function () {
var a, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.scalar(3.9, 'int32');
expect(a.dtype).toBe('int32');
_a = test_util_1.expectArraysEqual;
return [4 /*yield*/, a.data()];
case 1:
_a.apply(void 0, [_b.sent(), 3]);
return [2 /*return*/];
}
});
}); });
it('int32 dtype, -3.9 => -3, like numpy', function () { return __awaiter(_this, void 0, void 0, function () {
var a, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.scalar(-3.9, 'int32');
expect(a.dtype).toBe('int32');
_a = test_util_1.expectArraysEqual;
return [4 /*yield*/, a.data()];
case 1:
_a.apply(void 0, [_b.sent(), -3]);
return [2 /*return*/];
}
});
}); });
it('bool dtype, 3 => true, like numpy', function () { return __awaiter(_this, void 0, void 0, function () {
var a, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.scalar(3, 'bool');
expect(a.dtype).toBe('bool');
_a = test_util_1.expectArraysEqual;
return [4 /*yield*/, a.data()];
case 1:
_a.apply(void 0, [_b.sent(), 1]);
return [2 /*return*/];
}
});
}); });
it('bool dtype, -2 => true, like numpy', function () { return __awaiter(_this, void 0, void 0, function () {
var a, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.scalar(-2, 'bool');
expect(a.dtype).toBe('bool');
_a = test_util_1.expectArraysEqual;
return [4 /*yield*/, a.data()];
case 1:
_a.apply(void 0, [_b.sent(), 1]);
return [2 /*return*/];
}
});
}); });
it('bool dtype, 0 => false, like numpy', function () { return __awaiter(_this, void 0, void 0, function () {
var a, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.scalar(0, 'bool');
expect(a.dtype).toBe('bool');
_a = test_util_1.expectArraysEqual;
return [4 /*yield*/, a.data()];
case 1:
_a.apply(void 0, [_b.sent(), 0]);
return [2 /*return*/];
}
});
}); });
it('bool dtype from boolean', function () { return __awaiter(_this, void 0, void 0, function () {
var a, _a, b, _b;
return __generator(this, function (_c) {
switch (_c.label) {
case 0:
a = tf.scalar(false, 'bool');
_a = test_util_1.expectArraysEqual;
return [4 /*yield*/, a.data()];
case 1:
_a.apply(void 0, [_c.sent(), 0]);
expect(a.dtype).toBe('bool');
b = tf.scalar(true, 'bool');
_b = test_util_1.expectArraysEqual;
return [4 /*yield*/, a.data()];
case 2:
_b.apply(void 0, [_c.sent(), 0]);
expect(b.dtype).toBe('bool');
return [2 /*return*/];
}
});
}); });
it('int32 dtype from boolean', function () { return __awaiter(_this, void 0, void 0, function () {
var a, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.scalar(true, 'int32');
_a = test_util_1.expectArraysEqual;
return [4 /*yield*/, a.data()];
case 1:
_a.apply(void 0, [_b.sent(), 1]);
expect(a.dtype).toBe('int32');
return [2 /*return*/];
}
});
}); });
it('default dtype from boolean', function () { return __awaiter(_this, void 0, void 0, function () {
var a, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.scalar(false);
_a = test_util_1.expectArraysEqual;
return [4 /*yield*/, a.data()];
case 1:
_a.apply(void 0, [_b.sent(), 0]);
expect(a.dtype).toBe('bool');
return [2 /*return*/];
}
});
}); });
it('default dtype', function () { return __awaiter(_this, void 0, void 0, function () {
var a, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.tensor1d([1, 2, 3]);
expect(a.dtype).toBe('float32');
expect(a.shape).toEqual([3]);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, a.data()];
case 1:
_a.apply(void 0, [_b.sent(), [1, 2, 3]]);
return [2 /*return*/];
}
});
}); });
it('float32 dtype', function () { return __awaiter(_this, void 0, void 0, function () {
var a, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.tensor1d([1, 2, 3], 'float32');
expect(a.dtype).toBe('float32');
expect(a.shape).toEqual([3]);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, a.data()];
case 1:
_a.apply(void 0, [_b.sent(), [1, 2, 3]]);
return [2 /*return*/];
}
});
}); });
it('int32 dtype', function () { return __awaiter(_this, void 0, void 0, function () {
var a, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.tensor1d([1, 2, 3], 'int32');
expect(a.dtype).toBe('int32');
expect(a.shape).toEqual([3]);
_a = test_util_1.expectArraysEqual;
return [4 /*yield*/, a.data()];
case 1:
_a.apply(void 0, [_b.sent(), [1, 2, 3]]);
return [2 /*return*/];
}
});
}); });
it('int32 dtype, non-ints get floored, like numpy', function () { return __awaiter(_this, void 0, void 0, function () {
var a, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.tensor1d([1.1, 2.5, 3.9], 'int32');
expect(a.dtype).toBe('int32');
expect(a.shape).toEqual([3]);
_a = test_util_1.expectArraysEqual;
return [4 /*yield*/, a.data()];
case 1:
_a.apply(void 0, [_b.sent(), [1, 2, 3]]);
return [2 /*return*/];
}
});
}); });
it('int32 dtype, negative non-ints get ceiled, like numpy', function () { return __awaiter(_this, void 0, void 0, function () {
var a, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.tensor1d([-1.1, -2.5, -3.9], 'int32');
expect(a.dtype).toBe('int32');
expect(a.shape).toEqual([3]);
_a = test_util_1.expectArraysEqual;
return [4 /*yield*/, a.data()];
case 1:
_a.apply(void 0, [_b.sent(), [-1, -2, -3]]);
return [2 /*return*/];
}
});
}); });
it('bool dtype, !=0 is truthy, 0 is falsy, like numpy', function () { return __awaiter(_this, void 0, void 0, function () {
var a, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.tensor1d([1, -2, 0, 3], 'bool');
expect(a.dtype).toBe('bool');
expect(a.shape).toEqual([4]);
_a = test_util_1.expectArraysEqual;
return [4 /*yield*/, a.data()];
case 1:
_a.apply(void 0, [_b.sent(), [1, 1, 0, 1]]);
return [2 /*return*/];
}
});
}); });
it('default dtype from boolean[]', function () { return __awaiter(_this, void 0, void 0, function () {
var a, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.tensor1d([false, false, true]);
expect(a.dtype).toBe('bool');
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, a.data()];
case 1:
_a.apply(void 0, [_b.sent(), [0, 0, 1]]);
return [2 /*return*/];
}
});
}); });
it('default dtype from UInt8Array', function () { return __awaiter(_this, void 0, void 0, function () {
var a, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.tensor1d(new Uint8Array([1, 5, 2]));
expect(a.dtype).toBe('int32');
expect(a.shape).toEqual([3]);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, a.data()];
case 1:
_a.apply(void 0, [_b.sent(), [1, 5, 2]]);
return [2 /*return*/];
}
});
}); });
it('default dtype from Int32Array', function () { return __awaiter(_this, void 0, void 0, function () {
var a, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.tensor1d(new Int32Array([1, 5, 2]));
expect(a.dtype).toBe('int32');
expect(a.shape).toEqual([3]);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, a.data()];
case 1:
_a.apply(void 0, [_b.sent(), [1, 5, 2]]);
return [2 /*return*/];
}
});
}); });
it('tf.tensor() from Float32Array and number[]', function () { return __awaiter(_this, void 0, void 0, function () {
var a, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.tensor([
new Float32Array([1, 2]), new Float32Array([3, 4]),
new Float32Array([5, 6]), [7, 8]
]);
expect(a.dtype).toBe('float32');
expect(a.shape).toEqual([4, 2]);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, a.data()];
case 1:
_a.apply(void 0, [_b.sent(), [1, 2, 3, 4, 5, 6, 7, 8]]);
return [2 /*return*/];
}
});
}); });
it('tf.tensor() from Int32Array and number[]', function () { return __awaiter(_this, void 0, void 0, function () {
var a, _a;
return __generator(this, function (_b) {
switch (_b.label) {
case 0:
a = tf.tensor([
new Int32Array([1, 2]), new Int32Array([3, 4]), new Int32Array([5, 6]),
[7, 8]
]);
expect(a.dtype).toBe('int32');
expect(a.shape).toEqual([4, 2]);
_a = test_util_1.expectArraysClose;
return [4 /*yield*/, a.data()];
case 1:
_