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@tensorflow/tfjs-core

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Hardware-accelerated JavaScript library for machine intelligence

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"use strict"; 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('AdamaxOptimizer', test_util_1.ALL_ENVS, function () { it('basic', function () { var learningRate = 0.1; var beta1 = 0.8; var beta2 = 0.9; var decay = 0.1; var optimizer = tf.train.adamax(learningRate, beta1, beta2, undefined, decay); var x = tf.tensor1d([2, 4]).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 + 3); test_util_1.expectArraysClose(x, [1.9, 3.9]); cost.dispose(); numTensors = tf.memory().numTensors; cost = optimizer.minimize(f, false); test_util_1.expectArraysClose(x, [1.80697, 3.8086]); 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.adamax(0.1, 0.2, 0.3, 2e-8, 0.1); var reserialized = tf.AdamaxOptimizer.fromConfig(tf.AdamaxOptimizer, originalOpt.getConfig()); expect(reserialized.getConfig()).toEqual(originalOpt.getConfig()); }); }); //# sourceMappingURL=adamax_optimizer_test.js.map