@tensorflow/tfjs-core
Version:
Hardware-accelerated JavaScript library for machine intelligence
110 lines • 5.42 kB
JavaScript
;
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 });
/**
* @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 tf = require("../index");
var jasmine_util_1 = require("../jasmine_util");
function countParams(x) {
var shape = x.shape;
if (shape.length > 0) {
return shape.reduce(function (a, b) { return a * b; });
}
else {
// Scalar.
return 1;
}
}
jasmine_util_1.describeWithFlags('dropout', jasmine_util_1.ALL_ENVS, function () {
var dropoutLevels = [0, 0.75];
var seed = 23;
var _loop_1 = function (dropoutLevel) {
it("Level = " + dropoutLevel, function () { return __awaiter(_this, void 0, void 0, function () {
var x, y, xValue, yValue, nKept, i, numel;
return __generator(this, function (_a) {
switch (_a.label) {
case 0:
x = tf.range(1, 21).reshape([10, 2]);
y = tf.dropout(x, tf.scalar(dropoutLevel), null, seed);
expect(y.dtype).toEqual(x.dtype);
expect(y.shape).toEqual(x.shape);
return [4 /*yield*/, x.data()];
case 1:
xValue = _a.sent();
return [4 /*yield*/, y.data()];
case 2:
yValue = _a.sent();
nKept = 0;
for (i = 0; i < xValue.length; ++i) {
if (yValue[i] !== 0) {
nKept++;
expect(yValue[i]).toBeCloseTo(1 / (1 - dropoutLevel) * xValue[i]);
}
}
numel = countParams(x);
if (dropoutLevel === 0) {
expect(nKept).toEqual(numel);
}
else {
expect(nKept).toBeLessThan(numel);
}
return [2 /*return*/];
}
});
}); });
};
for (var _i = 0, dropoutLevels_1 = dropoutLevels; _i < dropoutLevels_1.length; _i++) {
var dropoutLevel = dropoutLevels_1[_i];
_loop_1(dropoutLevel);
}
});
//# sourceMappingURL=dropout_test.js.map