Nice, thanks for sharing the results!

-- Benedikt

Wink Saville <[email protected]> schrieb am Do., 22. Juni 2017, 02:55:

> I've now tested v8 6.1 using the Node V9 canary build, see the details
> here <https://github.com/winksaville/test-nn-ts/tree/nodev9>. The summary
> is that Nodev9 for both ES5 and ES6 run approximately the same speed at
> 820,000 eps which is about *1.7x faster* than Nodev8 using ES5!
>
> Kudo's to the V8 team!!
>
>
> On Monday, June 12, 2017 at 9:36:01 PM UTC-7, Benedikt Meurer wrote:
>
>> With V8 5.8, that sounds possible. In 5.8 modern JavaScript (i.e. ES2015
>> and later) is sent to the new compiler pipeline (based on Ignition and
>> TurboFan), whereas classic JavaScript is sent to the old compiler pipeline
>> (based on FullCodegen and Crankshaft). JavaScript code is strictly divided
>> by this and so you have a two-world view problem. In  your case you
>> probably benefit from having the JIT inline the class constructor for you
>> into call sites, but with ES6 classes and V8 5.8, that's only possible if
>> the call site also lives in the Ignition+TurboFan world, which is probably
>> not the case and hence you see a significant slowdown already. All of these
>> problems disappear with V8 5.9/6.0, which is what Node 8 will upgrade to
>> eventually.
>>
>> HTH,
>> Benedikt
>>
>> On Tue, Jun 13, 2017 at 12:18 AM Wink Saville <[email protected]> wrote:
>>
> 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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