I've created a simple NeuralNet program
<https://github.com/winksaville/test-nn-ts> in TypeScript v2.3.4 running on
node v8.1.0 and v8 v5.8.283.41:
$ npm version
> { 'test-nn-ts': '0.1.0',
> npm: '4.6.1',
> ares: '1.12.0',
> cldr: '31.0.1',
> http_parser: '2.7.1',
> icu: '59.1',
> modules: '57',
> node: '8.1.0',
> openssl: '1.0.2l',
> tz: '2017b',
> unicode: '9.0',
> uv: '1.12.0',
> v8: '5.8.283.41',
> zlib: '1.2.11' }
When I target es6 the program runs 6x slower than if target es5.
Here is the output when targeting es5:
$ yarn runit 1000000
> yarn runit v0.24.6
> $ yarn build && yarn doit 1000000
> yarn build v0.24.6
> $ tsc -p src/tsconfig.json
> Done in 2.02s.
> yarn doit v0.24.6
> $ node build/test-nn.js 1000000
> Epoch=1,000,000 Error=4.63e-7 time=2.06s eps=484,784
> Pat Input0 Input1 Target0 Output0
> 0 0 0 0 0.000448827454864753
> 1 1 0 1 0.9995444354288804
> 2 0 1 1 0.9995445564977191
> 3 1 1 0 0.0005558910332638871
> Done in 2.24s.
> Done in 4.63s.
And here is the output targeting es6:
$ yarn runit 1000000
> yarn runit v0.24.6
> $ yarn build && yarn doit 1000000
> yarn build v0.24.6
> $ tsc -p src/tsconfig.json
> Done in 1.99s.
> yarn doit v0.24.6
> $ node build/test-nn.js 1000000
> Epoch=1,000,000 Error=4.63e-7 time=13.29s eps=75,239
> Pat Input0 Input1 Target0 Output0
> 0 0 0 0 0.000448827454864753
> 1 1 0 1 0.9995444354288804
> 2 0 1 1 0.9995445564977191
> 3 1 1 0 0.0005558910332638871
> Done in 13.47s.
> Done in 15.84s.
Here is a snippet of the beginning of the NeuralNet.js targeting es5:
var Neuron_1 = require("./Neuron");
> var DBG = false;
> var Debug_1 = require("./Debug");
> var NeuralNet = (function () {
> function NeuralNet(num_in_neurons, num_hidden_layers, num_out_neurons)
> {
> if (DBG)
> Debug_1.default("ctor:+ in_neurons=" + num_in_neurons + "
> hidden_layers=" + num_hidden_layers + " out_neurons=" + num_out_neurons);
> this.max_layers = 2; // We always have an input and output layer
> this.max_layers += num_hidden_layers; // Add num_hidden layers
> this.out_layer = this.max_layers - 1; // last one is out_layer
> this.last_hidden = 0; // No hidden layers yet
> this.points = 0; // No points yet
> this.error = 0; // No errors yet
> this.learning_rate = 0.5; // Learning rate aka eta
> this.momentum_factor = 0.9; // momemtum factor aka alpha
> this.layers = new Array(this.max_layers);
> // Create the input and output layers
> this.create_layer(0, num_in_neurons);
> this.create_layer(this.out_layer, num_out_neurons);
> if (DBG)
> Debug_1.default("ctor:-");
> }
> NeuralNet.prototype.create_layer = function (layer_index, num_neurons)
> {
> if (DBG)
> Debug_1.default("create_layer:+ layer_index=" + layer_index +
> " num_neurons=" + num_neurons);
> this.layers[layer_index] = new Array(num_neurons);
> if (DBG)
> Debug_1.default("create_layer:- layer_index=" + layer_index +
> " num_neurons=" + num_neurons);
> };
And here is a snippet targeting es6:
const Neuron_1 = require("./Neuron");
> const DBG = false;
> const Debug_1 = require("./Debug");
> class NeuralNet {
> constructor(num_in_neurons, num_hidden_layers, num_out_neurons) {
> if (DBG)
> Debug_1.default(`ctor:+ in_neurons=${num_in_neurons}
> hidden_layers=${num_hidden_layers} out_neurons=${num_out_neurons}`);
> this.max_layers = 2; // We always have an input and output layer
> this.max_layers += num_hidden_layers; // Add num_hidden layers
> this.out_layer = this.max_layers - 1; // last one is out_layer
> this.last_hidden = 0; // No hidden layers yet
> this.points = 0; // No points yet
> this.error = 0; // No errors yet
> this.learning_rate = 0.5; // Learning rate aka eta
> this.momentum_factor = 0.9; // momemtum factor aka alpha
> this.layers = new Array(this.max_layers);
> // Create the input and output layers
> this.create_layer(0, num_in_neurons);
> this.create_layer(this.out_layer, num_out_neurons);
> if (DBG)
> Debug_1.default("ctor:-");
> }
> create_layer(layer_index, num_neurons) {
> if (DBG)
> Debug_1.default(`create_layer:+ layer_index=${layer_index}
> num_neurons=${num_neurons}`);
> this.layers[layer_index] = new Array(num_neurons);
> if (DBG)
> Debug_1.default(`create_layer:- layer_index=${layer_index}
> num_neurons=${num_neurons}`);
> }
Have I done something wrong or is this expected?
-- Wink
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