add CELU activation function

src/nf.f90

@@ -8,5 +8,6 @@ module nf
   use nf_optimizers, only: sgd
   use nf_activation, only: activation_function, elu, exponential,  &
                            gaussian, linear, relu, leaky_relu,     &
-                           sigmoid, softmax, softplus, step, tanhf
+                           sigmoid, softmax, softplus, step, tanhf, &
+                           celu
 end module nf

src/nf/nf_activation.f90

@@ -18,6 +18,7 @@ module nf_activation
   public :: softplus
   public :: step
   public :: tanhf
+  public :: celu
 
   type, abstract :: activation_function
   contains
@@ -140,6 +141,15 @@ end function eval_3d_i
     procedure :: eval_3d_prime => eval_3d_tanh_prime
   end type tanhf
 
+  type, extends(activation_function) :: celu
+    real:: alpha = 1.0 ! Pytorch default
+  contains
+    procedure :: eval_1d       => eval_1d_celu
+    procedure :: eval_1d_prime => eval_1d_celu_prime
+    procedure :: eval_3d       => eval_3d_celu
+    procedure :: eval_3d_prime => eval_3d_celu_prime
+  end type celu
+
 contains
 
   pure function eval_1d_elu(self, x) result(res)
@@ -522,6 +532,54 @@ pure function eval_3d_tanh_prime(self, x) result(res)
     res = 1 - tanh(x)**2
   end function eval_3d_tanh_prime
 
+  pure function eval_1d_celu(self, x) result(res)
+    ! Celu activation function.
+    class(celu), intent(in) :: self
+    real, intent(in) :: x(:)
+    real :: res(size(x))
+    where (x >= 0.0)
+        res = x
+    else where
+        res = self % alpha * (exp(x / self % alpha) - 1.0)
+    end where
+  end function
+
+  pure function eval_1d_celu_prime(self, x) result(res)
+    ! Celu activation function.
+    class(celu), intent(in) :: self
+    real, intent(in) :: x(:)
+    real :: res(size(x))
+    where (x >= 0.0)
+        res = 1.0
+    else where
+        res = exp(x / self % alpha)
+    end where
+  end function
+
+  pure function eval_3d_celu(self, x) result(res)
+    ! Celu activation function.
+    class(celu), intent(in) :: self
+    real, intent(in) :: x(:,:,:)
+    real :: res(size(x,1),size(x,2),size(x,3))
+    where (x >= 0.0)
+        res = x
+    else where
+        res = self % alpha * (exp(x / self % alpha) - 1.0)
+    end where
+  end function
+
+  pure function eval_3d_celu_prime(self, x) result(res)
+    ! Celu activation function.
+    class(celu), intent(in) :: self
+    real, intent(in) :: x(:,:,:)
+    real :: res(size(x,1),size(x,2),size(x,3))
+    where (x >= 0.0)
+        res = 1.0
+    else where
+        res = exp(x / self % alpha)
+    end where
+  end function
+
   pure function get_name(self) result(name)
     !! Return the name of the activation function.
     !!
@@ -556,6 +614,8 @@ pure function get_name(self) result(name)
       name = 'step'
     class is (tanhf)
       name = 'tanh'
+    class is (celu)
+      name = 'celu'
     class default
       error stop 'Unknown activation function type.'
     end select

src/nf/nf_network_submodule.f90

@@ -25,7 +25,8 @@
                            softmax, &
                            softplus, &
                            step, &
-                           tanhf
+                           tanhf, &
+                           celu
 
   implicit none
 
@@ -268,10 +269,13 @@ pure function get_activation_by_name(activation_name) result(res)
     case('tanh')
       allocate ( res, source = tanhf() )
 
+    case('celu')
+      allocate ( res, source = celu() )
+
     case default
         error stop 'activation_name must be one of: ' // &
           '"elu", "exponential", "gaussian", "linear", "relu", ' // &
-          '"leaky_relu", "sigmoid", "softmax", "softplus", "step", or "tanh".'
+          '"leaky_relu", "sigmoid", "softmax", "softplus", "step", "tanh" or "celu".'
     end select
 
   end function get_activation_by_name