Restore the training/inference mode of each layer from a stored array.
| Type | Intent | Optional | Attributes | Name | ||
|---|---|---|---|---|---|---|
| class(network_type), | intent(inout) | :: | this |
Instance of network |
||
| logical, | intent(in), | dimension(:) | :: | mode_store |
Array storing the mode of each layer .true. = inference, .false. = training |
module subroutine restore_mode(this, mode_store) !! Restore the training/inference mode of each layer from a stored array. implicit none ! Arguments class(network_type), intent(inout) :: this !! Instance of network logical, dimension(:), intent(in) :: mode_store !! Array storing the mode of each layer !! .true. = inference, .false. = training ! Local variables integer :: l !! Loop index if(.not.allocated(this%model)) return if(size(mode_store) .ne. this%num_layers)then call stop_program("mode_store size does not match number of layers") return end if do l = 1, this%num_layers this%model(l)%layer%inference = mode_store(l) end do end subroutine restore_mode