@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
33 lines • 1.54 kB
JavaScript
;
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('AdagradOptimizer', test_util_1.ALL_ENVS, function () {
it('basic', function () {
var learningRate = .1;
var initialAccumulatorValue = .1;
var optimizer = tf.train.adagrad(learningRate, initialAccumulatorValue);
var x = tf.tensor1d([1, 2]).variable();
var f = function () { return x.square().sum(); };
var numTensors = tf.memory().numTensors;
var cost = optimizer.minimize(f, true);
expect(tf.memory().numTensors).toBe(numTensors + 2);
test_util_1.expectArraysClose(x, [0.9012270405, 1.9003110428]);
cost.dispose();
numTensors = tf.memory().numTensors;
cost = optimizer.minimize(f, false);
test_util_1.expectArraysClose(x, [0.8347372764, 1.83015597828], 1e-2);
expect(tf.memory().numTensors).toBe(numTensors);
expect(cost).toBe(null);
x.dispose();
optimizer.dispose();
expect(tf.memory().numTensors).toBe(1);
});
it('serialization round-trip', function () {
var originalOpt = tf.train.adagrad(0.1, 0.2);
var reserialized = tf.AdagradOptimizer.fromConfig(tf.AdagradOptimizer, originalOpt.getConfig());
expect(reserialized.getConfig()).toEqual(originalOpt.getConfig());
});
});
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