Initial commit

Author: andrewdalpino

src/NeuralNet/ActivationFunctions/ELU.php

@@ -7,6 +7,7 @@
 use NumPower;
 use NDArray;
 use Rubix\ML\Exceptions\InvalidAlphaException;
+use Rubix\ML\Specifications\ExtensionIsLoaded;
 
 /**
  * ELU
@@ -41,6 +42,8 @@ public function __construct(protected float $alpha = 1.0)
                 message: "Alpha must be greater than 0, {$this->alpha} given."
             );
         }
+
+        ExtensionIsLoaded::with('RubixNumPower')->check();
     }
 
     /**

src/NeuralNet/ActivationFunctions/GELU.php

@@ -6,6 +6,7 @@
 
 use NumPower;
 use NDArray;
+use Rubix\ML\Specifications\ExtensionIsLoaded;
 
 /**
  * GeLU
@@ -49,6 +50,11 @@ class GELU implements ActivationFunction, IBufferDerivative
      */
     protected const TRIPLE_BETA = 0.134145;
 
+    public function __construct()
+    {
+        ExtensionIsLoaded::with('RubixNumPower')->check();
+    }
+
     /**
      * Apply the GeLU activation function to the input.
      *

src/NeuralNet/ActivationFunctions/HardSiLU.php

@@ -6,6 +6,7 @@
 
 use NumPower;
 use NDArray;
+use Rubix\ML\Specifications\ExtensionIsLoaded;
 
 /**
  * HardSiLU
@@ -35,6 +36,8 @@ class HardSiLU implements ActivationFunction, IBufferDerivative
      */
     public function __construct()
     {
+        ExtensionIsLoaded::with('RubixNumPower')->check();
+
         $this->hardSigmoid = new HardSigmoid();
     }
 

src/NeuralNet/ActivationFunctions/HardSigmoid.php

@@ -6,6 +6,7 @@
 
 use NumPower;
 use NDArray;
+use Rubix\ML\Specifications\ExtensionIsLoaded;
 
 /**
  * HardSigmoid
@@ -51,6 +52,11 @@ class HardSigmoid implements ActivationFunction, IBufferDerivative
      */
     protected const UPPER_BOUND = 2.5;
 
+    public function __construct()
+    {
+        ExtensionIsLoaded::with('RubixNumPower')->check();
+    }
+
     /**
      * Apply the HardSigmoid activation function to the input.
      *

src/NeuralNet/ActivationFunctions/HyperbolicTangent.php

@@ -6,6 +6,7 @@
 
 use NumPower;
 use NDArray;
+use Rubix\ML\Specifications\ExtensionIsLoaded;
 
 /**
  * Hyperbolic Tangent
@@ -20,6 +21,11 @@
  */
 class HyperbolicTangent implements ActivationFunction, OBufferDerivative
 {
+    public function __construct()
+    {
+        ExtensionIsLoaded::with('RubixNumPower')->check();
+    }
+
     /**
      * Apply the Hyperbolic Tangent activation function to the input.
      *

src/NeuralNet/ActivationFunctions/LeakyReLU.php

@@ -7,6 +7,7 @@
 use NumPower;
 use NDArray;
 use Rubix\ML\Exceptions\InvalidLeakageException;
+use Rubix\ML\Specifications\ExtensionIsLoaded;
 
 /**
  * Leaky ReLU
@@ -48,6 +49,8 @@ public function __construct(float $leakage = 0.1)
         }
 
         $this->leakage = $leakage;
+
+        ExtensionIsLoaded::with('RubixNumPower')->check();
     }
 
     /**

src/NeuralNet/ActivationFunctions/ReLU.php

@@ -6,6 +6,7 @@
 
 use NumPower;
 use NDArray;
+use Rubix\ML\Specifications\ExtensionIsLoaded;
 
 /**
  * ReLU
@@ -24,6 +25,11 @@
  */
 class ReLU implements ActivationFunction, IBufferDerivative
 {
+    public function __construct()
+    {
+        ExtensionIsLoaded::with('RubixNumPower')->check();
+    }
+
     /**
      * Compute the activation.
      *

src/NeuralNet/ActivationFunctions/ReLU6.php

@@ -6,6 +6,7 @@
 
 use NumPower;
 use NDArray;
+use Rubix\ML\Specifications\ExtensionIsLoaded;
 
 /**
  * ReLU6
@@ -25,6 +26,11 @@
  */
 class ReLU6 implements ActivationFunction, IBufferDerivative
 {
+    public function __construct()
+    {
+        ExtensionIsLoaded::with('RubixNumPower')->check();
+    }
+
     /**
      * Compute the activation.
      *

src/NeuralNet/ActivationFunctions/SELU.php

@@ -6,6 +6,7 @@
 
 use NumPower;
 use NDArray;
+use Rubix\ML\Specifications\ExtensionIsLoaded;
 
 /**
  * SELU
@@ -46,6 +47,11 @@ class SELU implements ActivationFunction, IBufferDerivative
      */
     protected const BETA = self::LAMBDA * self::ALPHA;
 
+    public function __construct()
+    {
+        ExtensionIsLoaded::with('RubixNumPower')->check();
+    }
+
     /**
      * Compute the activation.
      *

src/NeuralNet/ActivationFunctions/SiLU.php

@@ -6,6 +6,7 @@
 
 use NumPower;
 use NDArray;
+use Rubix\ML\Specifications\ExtensionIsLoaded;
 
 /**
  * SiLU
@@ -36,6 +37,8 @@ class SiLU implements ActivationFunction, IBufferDerivative
      */
     public function __construct()
     {
+        ExtensionIsLoaded::with('RubixNumPower')->check();
+
         $this->sigmoid = new Sigmoid();
     }