Refactor and optimizations
This commit is contained in:
@@ -3,6 +3,7 @@
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namespace App\Http\Controllers;
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use App\Events\PerceptronInitialization;
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use App\Http\Requests\RunPerceptronRequest;
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use App\Models\NetworksTraining\ADALINEPerceptronTraining;
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use App\Models\NetworksTraining\GradientDescentPerceptronTraining;
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use App\Models\NetworksTraining\MonoLayerPerceptronTraining;
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@@ -18,7 +19,6 @@ use App\Services\SynapticWeightsProvider\RandomSynapticWeights;
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use App\Services\SynapticWeightsProvider\ZeroSynapticWeights;
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use Illuminate\Http\Request;
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use Illuminate\Support\Facades\DB;
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use Illuminate\Support\Facades\Validator;
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class PerceptronController extends Controller
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{
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@@ -168,20 +168,10 @@ class PerceptronController extends Controller
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return new RandomOrderDataSetReader($dataSetFileName);
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}
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public function run(Request $request, ISynapticWeightsProvider $synapticWeightsProvider)
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public function run(RunPerceptronRequest $request, ISynapticWeightsProvider $synapticWeightsProvider)
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{
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$startTime = microtime(true);
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// Verifications
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$validator = Validator::make($request->all(), config('perceptron.run_inputs_validation'));
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if ($validator->fails()) {
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return response()->json([
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'message' => 'Invalid input parameters',
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'errors' => $validator->errors(),
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], 400);
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}
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$perceptronType = $request->input('type');
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$hiddenLayers = $request->input('hidden_layers', 2);
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$hiddenLayersNeurons = $request->input('hidden_layers_neurons', 3);
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@@ -194,13 +184,12 @@ class PerceptronController extends Controller
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$trainingId = $request->input('training_id');
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// Remove the jobs for the sessionId
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DB::table('jobs')->where('payload', 'like', '%s:9:\"sessionId\";s:40:\"'. $sessionId .'\";%')->delete();
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DB::table('jobs')->where('payload', 'like', '%s:9:\"sessionId\";s:40:\"'.$sessionId.'\";%')->delete();
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// Zero initialization prevents hidden layers from receiving a gradient.
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if ($perceptronType === 'multilayer' && $weightInitMethod === 'zeros') {
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$synapticWeightsProvider = new RandomSynapticWeights;
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}
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else if ($weightInitMethod === 'zeros') {
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} elseif ($weightInitMethod === 'zeros') {
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$synapticWeightsProvider = new ZeroSynapticWeights;
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}
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@@ -0,0 +1,29 @@
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<?php
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namespace App\Http\Requests;
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use Illuminate\Foundation\Http\FormRequest;
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class RunPerceptronRequest extends FormRequest
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{
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public function authorize(): bool
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{
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return true;
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}
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public function rules(): array
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{
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return [
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'type' => ['required', 'string', 'in:simple,gradientdescent,adaline,monolayer,multilayer'],
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'dataset' => ['required', 'string', 'max:100', 'regex:/^[A-Za-z0-9_-]+$/'],
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'weight_init_method' => ['required', 'string', 'in:random,zeros'],
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'learning_rate' => ['required', 'numeric', 'min:0'],
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'min_error' => ['required', 'numeric', 'min:0'],
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'hidden_layers' => ['required', 'integer', 'min:1', 'max:5'],
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'hidden_layers_neurons' => ['required', 'integer', 'min:1', 'max:5'],
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'max_iterations' => ['required', 'integer', 'min:1', 'max:5000'],
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'session_id' => ['required', 'string', 'max:100'],
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'training_id' => ['required', 'string', 'max:100'],
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];
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}
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}
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@@ -8,7 +8,7 @@ class LinearOrderDataSetReader implements IDataSetReader
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{
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public array $lines = [];
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private array $currentLines = [];
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private int $currentLineIndex = 0;
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private int $lastReadLineIndex = -1;
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@@ -35,13 +35,13 @@ class LinearOrderDataSetReader implements IDataSetReader
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public function getNextLine(): ?array
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{
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if (! isset($this->currentLines[0])) {
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if (! isset($this->lines[$this->currentLineIndex])) {
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return null; // No more lines to read
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}
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$this->lastReadLineIndex = array_search($this->currentLines[0], $this->lines, true);
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$this->lastReadLineIndex = $this->currentLineIndex;
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return array_shift($this->currentLines);
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return $this->lines[$this->currentLineIndex++];
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}
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public function getInputSize(): int
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@@ -53,18 +53,20 @@ class LinearOrderDataSetReader implements IDataSetReader
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{
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// Count the number of unique labels in the dataset
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$labels = array_map(fn ($line) => end($line), $this->lines);
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return count(array_unique($labels));
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}
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public function getLabels(): array
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{
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$labels = array_map(fn ($line) => end($line), $this->lines);
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return array_values(array_unique($labels));
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}
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public function reset(): void
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{
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$this->currentLines = $this->lines;
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$this->currentLineIndex = 0;
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}
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public function getLastReadLineIndex(): int
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@@ -8,7 +8,9 @@ class RandomOrderDataSetReader implements IDataSetReader
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{
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public array $lines = [];
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private array $currentLines = [];
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private array $currentLineIndexes = [];
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private int $currentLineIndex = 0;
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private int $lastReadLineIndex = -1;
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@@ -35,19 +37,14 @@ class RandomOrderDataSetReader implements IDataSetReader
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public function getNextLine(): ?array
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{
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if (empty($this->currentLines)) {
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if (! isset($this->currentLineIndexes[$this->currentLineIndex])) {
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return null; // No more lines to read
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}
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$randomNumber = array_rand($this->currentLines);
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$randomLine = $this->currentLines[$randomNumber];
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$lineIndex = $this->currentLineIndexes[$this->currentLineIndex++];
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// Remove the line from the current lines to avoid repetition
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unset($this->currentLines[$randomNumber]);
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$this->lastReadLineIndex = $lineIndex;
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// Remember the index of the last read line in the full list
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$this->lastReadLineIndex = array_search($randomLine, $this->lines, true);
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return $randomLine;
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return $this->lines[$lineIndex];
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}
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public function getInputSize(): int
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@@ -59,18 +56,22 @@ class RandomOrderDataSetReader implements IDataSetReader
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{
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// Count the number of unique labels in the dataset
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$labels = array_map(fn ($line) => end($line), $this->lines);
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return count(array_unique($labels));
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}
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public function getLabels(): array
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{
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$labels = array_map(fn ($line) => end($line), $this->lines);
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return array_values(array_unique($labels));
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}
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public function reset(): void
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{
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$this->currentLines = $this->lines;
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$this->currentLineIndexes = array_keys($this->lines);
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shuffle($this->currentLineIndexes);
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$this->currentLineIndex = 0;
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}
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public function getLastReadLineIndex(): int
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@@ -2,27 +2,24 @@
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namespace App\Services\IterationEventBuffer;
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use App\Events\PerceptronTrainingIteration;
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class PerceptronIterationEventBuffer implements IPerceptronIterationEventBuffer
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{
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private $data;
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private int $nextSizeIncreaseThreshold;
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private int $underSizeIncreaseCount = 0;
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private array $data = [];
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public function __construct(
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private string $sessionId,
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private string $trainingId,
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private int $sizeIncreaseStart = 10,
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private int $sizeIncreaseFactor = 2,
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) {
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$this->data = [];
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$this->nextSizeIncreaseThreshold = $sizeIncreaseStart;
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}
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) {}
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public function flush(): void
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{
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event(new \App\Events\PerceptronTrainingIteration($this->data, $this->sessionId, $this->trainingId));
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if ($this->data === []) {
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return;
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}
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event(new PerceptronTrainingIteration($this->data, $this->sessionId, $this->trainingId));
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$this->data = [];
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}
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@@ -35,27 +32,24 @@ class PerceptronIterationEventBuffer implements IPerceptronIterationEventBuffer
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'weights' => $synaptic_weights,
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];
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$payload = [
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'iterations' => [...$this->data, $iteration],
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'trainingId' => $this->trainingId,
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];
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if ($this->data !== [] && strlen(json_encode($payload, JSON_THROW_ON_ERROR)) > config('broadcasting.broadcast_max_payload_size')) {
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$this->flush();
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}
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$this->data[] = $iteration;
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if ($this->underSizeIncreaseCount <= $this->sizeIncreaseStart) { // We can still send a single date because we are under the increase start threshold
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$this->underSizeIncreaseCount++;
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if ($this->data !== [] && $this->payloadExceedsLimit()) {
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$lastIteration = array_pop($this->data);
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$this->flush();
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} elseif (count($this->data) >= $this->nextSizeIncreaseThreshold) {
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$this->flush();
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$this->nextSizeIncreaseThreshold *= $this->sizeIncreaseFactor;
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$this->data[] = $lastIteration;
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}
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if ($this->nextSizeIncreaseThreshold > config('perceptron.broadcast_iteration_size')) {
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$this->nextSizeIncreaseThreshold = config('perceptron.broadcast_iteration_size'); // Cap the threshold to the maximum size
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}
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if (count($this->data) >= config('perceptron.broadcast_iteration_size')) {
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$this->flush();
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}
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}
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private function payloadExceedsLimit(): bool
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{
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return strlen(json_encode([
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'iterations' => $this->data,
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'trainingId' => $this->trainingId,
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], JSON_THROW_ON_ERROR)) > config('broadcasting.broadcast_max_payload_size');
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}
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}
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@@ -2,24 +2,29 @@
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namespace App\Services\IterationEventBuffer;
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use App\Events\PerceptronTrainingIteration;
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class PerceptronLimitedEpochEventBuffer implements IPerceptronIterationEventBuffer
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{
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private array $data;
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private array $data = [];
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private int $underSizeIncreaseCount = 0;
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private ?int $activeEpoch = null;
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private bool $shouldBroadcastEpoch = false;
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public function __construct(
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private string $sessionId,
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private string $trainingId,
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private int $epochInterval,
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private int $sizeIncreaseStart = 10,
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) {
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$this->data = [];
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}
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) {}
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public function flush(): void
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{
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event(new \App\Events\PerceptronTrainingIteration($this->data, $this->sessionId, $this->trainingId));
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if ($this->data === []) {
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return;
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}
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event(new PerceptronTrainingIteration($this->data, $this->sessionId, $this->trainingId));
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$this->data = [];
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}
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@@ -32,16 +37,28 @@ class PerceptronLimitedEpochEventBuffer implements IPerceptronIterationEventBuff
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'weights' => $synaptic_weights,
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];
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$lastEpoch = $this->data[0]['epoch'] ?? null;
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if ($this->data && $lastEpoch !== $epoch) { // Current Epoch has changed from the last one
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if ($lastEpoch == 1 || $lastEpoch % $this->epochInterval === 0) { // The last saved epoch need to be sent
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$this->flush(); // Flush all data from the previous epoch
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} else {
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$this->data = []; // We clear the data without sending it as we are saving the next epoch data
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}
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$lastEpoch = $epoch;
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if ($this->activeEpoch !== $epoch) {
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$this->flush();
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$this->activeEpoch = $epoch;
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$this->shouldBroadcastEpoch = $epoch === 1 || $epoch % $this->epochInterval === 0;
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}
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if (! $this->shouldBroadcastEpoch) {
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return;
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}
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$this->data[] = $newData;
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if ($this->payloadExceedsLimit() || count($this->data) >= config('perceptron.broadcast_iteration_size')) {
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$this->flush();
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}
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}
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private function payloadExceedsLimit(): bool
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{
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return strlen(json_encode([
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'iterations' => $this->data,
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'trainingId' => $this->trainingId,
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], JSON_THROW_ON_ERROR)) > config('broadcasting.broadcast_max_payload_size');
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}
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}
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