set_hyperparams_neural_operator Subroutine

private subroutine set_hyperparams_neural_operator(this, num_outputs, use_bias, activation, kernel_initialiser, bias_initialiser, verbose)

Set the hyperparameters for the neural operator layer

Type Bound

neural_operator_layer_type

Arguments

Type IntentOptional Attributes Name
class(neural_operator_layer_type), intent(inout) :: this

Instance of the neural operator layer

integer, intent(in) :: num_outputs

Number of outputs

logical, intent(in) :: use_bias

Whether to use bias

class(base_actv_type), intent(in), allocatable :: activation

Activation function

class(base_init_type), intent(in), allocatable :: kernel_initialiser

Kernel and bias initialisers

class(base_init_type), intent(in), allocatable :: bias_initialiser

Kernel and bias initialisers

integer, intent(in), optional :: verbose

Verbosity level


Source Code

  subroutine set_hyperparams_neural_operator( &
       this, num_outputs, &
       use_bias, &
       activation, &
       kernel_initialiser, bias_initialiser, &
       verbose &
  )
    !! Set the hyperparameters for the neural operator layer
    use athena__activation, only: activation_setup
    use athena__initialiser, only: get_default_initialiser, initialiser_setup
    implicit none

    ! Arguments
    class(neural_operator_layer_type), intent(inout) :: this
    !! Instance of the neural operator layer
    integer, intent(in) :: num_outputs
    !! Number of outputs
    logical, intent(in) :: use_bias
    !! Whether to use bias
    class(base_actv_type), allocatable, intent(in) :: activation
    !! Activation function
    class(base_init_type), allocatable, intent(in) :: &
         kernel_initialiser, bias_initialiser
    !! Kernel and bias initialisers
    integer, optional, intent(in) :: verbose
    !! Verbosity level

    ! Local variables
    character(len=256) :: buffer


    this%name = "neural_operator"
    this%type = "nop"
    this%input_rank = 1
    this%output_rank = 1
    this%use_bias = use_bias
    this%num_outputs = num_outputs
    if(allocated(this%activation)) deallocate(this%activation)
    if(.not.allocated(activation))then
       this%activation = activation_setup("none")
    else
       allocate(this%activation, source=activation)
    end if
    if(allocated(this%kernel_init)) deallocate(this%kernel_init)
    if(.not.allocated(kernel_initialiser))then
       buffer = get_default_initialiser(this%activation%name)
       this%kernel_init = initialiser_setup(buffer)
    else
       allocate(this%kernel_init, source=kernel_initialiser)
    end if
    if(allocated(this%bias_init)) deallocate(this%bias_init)
    if(.not.allocated(bias_initialiser))then
       buffer = get_default_initialiser( &
            this%activation%name, &
            is_bias=.true. &
       )
       this%bias_init = initialiser_setup(buffer)
    else
       if(allocated(this%bias_init)) deallocate(this%bias_init)
       allocate(this%bias_init, source=bias_initialiser)
    end if
    if(present(verbose))then
       if(abs(verbose).gt.0)then
          write(*,'("NEURAL_OPERATOR activation function: ",A)') &
               trim(this%activation%name)
          write(*,'("NEURAL_OPERATOR kernel initialiser: ",A)') &
               trim(this%kernel_init%name)
          write(*,'("NEURAL_OPERATOR bias initialiser: ",A)') &
               trim(this%bias_init%name)
       end if
    end if

  end subroutine set_hyperparams_neural_operator