Initialise fully connected layer
| Type | Intent | Optional | Attributes | Name | ||
|---|---|---|---|---|---|---|
| class(full_layer_type), | intent(inout) | :: | this |
Instance of the fully connected layer |
||
| integer, | intent(in), | dimension(:) | :: | input_shape |
Input shape |
|
| integer, | intent(in), | optional | :: | verbose |
Verbosity level |
subroutine init_full(this, input_shape, verbose) !! Initialise fully connected layer implicit none ! Arguments class(full_layer_type), intent(inout) :: this !! Instance of the fully connected layer integer, dimension(:), intent(in) :: input_shape !! Input shape integer, optional, intent(in) :: verbose !! Verbosity level ! Local variables integer :: num_inputs !! Temporary variable integer :: verbose_ = 0 !--------------------------------------------------------------------------- ! Initialise optional arguments !--------------------------------------------------------------------------- if(present(verbose)) verbose_ = verbose !--------------------------------------------------------------------------- ! Initialise number of inputs !--------------------------------------------------------------------------- if(.not.allocated(this%input_shape)) call this%set_shape(input_shape) this%num_inputs = this%input_shape(1) this%output_shape = [this%num_outputs] this%num_params = this%get_num_params() !--------------------------------------------------------------------------- ! Allocate weight, weight steps (velocities), output, and activation !--------------------------------------------------------------------------- allocate(this%weight_shape(2,1)) this%weight_shape(:,1) = [ this%num_outputs, this%num_inputs ] if(this%use_bias)then this%bias_shape = [ this%num_outputs ] allocate(this%params(2)) else allocate(this%params(1)) end if call this%params(1)%allocate([this%weight_shape(:,1), 1]) call this%params(1)%set_requires_grad(.true.) this%params(1)%fix_pointer = .true. this%params(1)%is_sample_dependent = .false. this%params(1)%is_temporary = .false. num_inputs = this%num_inputs if(this%use_bias)then num_inputs = this%num_inputs + 1 call this%params(2)%allocate([this%bias_shape, 1]) call this%params(2)%set_requires_grad(.true.) this%params(2)%fix_pointer = .true. this%params(2)%is_sample_dependent = .false. this%params(2)%is_temporary = .false. end if !--------------------------------------------------------------------------- ! Initialise weights (kernels) !--------------------------------------------------------------------------- call this%kernel_init%initialise( & this%params(1)%val(:,1), & fan_in = num_inputs, fan_out = this%num_outputs, & spacing = [ this%num_outputs ] & ) ! Initialise biases !--------------------------------------------------------------------------- if(this%use_bias)then call this%bias_init%initialise( & this%params(2)%val(:,1), & fan_in = num_inputs, fan_out = this%num_outputs & ) end if !--------------------------------------------------------------------------- ! Allocate arrays !--------------------------------------------------------------------------- if(allocated(this%output)) deallocate(this%output) allocate(this%output(1,1)) if(this%z(1)%allocated) call this%z(1)%deallocate() end subroutine init_full