@tensorflow/tfjs-node
Version:
This repository provides native TensorFlow execution in backend JavaScript applications under the Node.js runtime, accelerated by the TensorFlow C binary under the hood. It provides the same API as [TensorFlow.js](https://js.tensorflow.org/api/latest/).
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JavaScript
;
/**
* @license
* Copyright 2018 Google LLC. 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) {
function adopt(value) { return value instanceof P ? value : new P(function (resolve) { resolve(value); }); }
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) : adopt(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 (g && (g = 0, op[0] && (_ = 0)), _) 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 };
}
};
Object.defineProperty(exports, "__esModule", { value: true });
var tf = require("@tensorflow/tfjs");
var MockContext = /** @class */ (function () {
function MockContext() {
}
MockContext.prototype.getImageData = function (x, y, width, height) {
var data = new Uint8ClampedArray(width * height * 4);
for (var i = 0; i < data.length; ++i) {
data[i] = i + 1;
}
return { data: data };
};
return MockContext;
}());
var MockCanvas = /** @class */ (function () {
function MockCanvas(width, height) {
this.width = width;
this.height = height;
}
MockCanvas.prototype.getContext = function (type) {
return new MockContext();
};
return MockCanvas;
}());
describe('tf.browser.fromPixels with polyfills', function () {
it('accepts a canvas-like element', function () { return __awaiter(void 0, void 0, void 0, function () {
var c, t, _a, _b;
return __generator(this, function (_c) {
switch (_c.label) {
case 0:
c = new MockCanvas(2, 2);
t = tf.browser.fromPixels(c);
expect(t.dtype).toBe('int32');
expect(t.shape).toEqual([2, 2, 3]);
_b = (_a = tf.test_util).expectArraysEqual;
return [4 /*yield*/, t.data()];
case 1:
_b.apply(_a, [_c.sent(), [1, 2, 3, 5, 6, 7, 9, 10, 11, 13, 14, 15]]);
return [2 /*return*/];
}
});
}); });
it('accepts a canvas-like element, numChannels=4', function () { return __awaiter(void 0, void 0, void 0, function () {
var c, t, _a, _b;
return __generator(this, function (_c) {
switch (_c.label) {
case 0:
c = new MockCanvas(2, 2);
t = tf.browser.fromPixels(c, 4);
expect(t.dtype).toBe('int32');
expect(t.shape).toEqual([2, 2, 4]);
_b = (_a = tf.test_util).expectArraysEqual;
return [4 /*yield*/, t.data()];
case 1:
_b.apply(_a, [_c.sent(), [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]]);
return [2 /*return*/];
}
});
}); });
it('errors when passed a non-canvas object', function () {
var c = 5;
// tslint:disable-next-line:no-any
expect(function () { return tf.browser.fromPixels(c); })
.toThrowError(/pixels passed to tf\.browser\.fromPixels\(\) must be either an/);
});
});