Unpack an autodiff array
| Type | Intent | Optional | Attributes | Name | ||
|---|---|---|---|---|---|---|
| class(array_type), | intent(in), | target | :: | a | ||
| integer, | intent(in), | dimension(:) | :: | array_shape | ||
| integer, | intent(in), | optional | :: | dim | ||
| integer, | intent(in), | optional, | dimension(:) | :: | indices |
module function unpack_mask_array(a, array_shape, dim, indices) result(c) !! Unpack an autodiff array implicit none class(array_type), intent(in), target :: a integer, dimension(:), intent(in) :: array_shape integer, intent(in), optional :: dim integer, dimension(:), intent(in), optional :: indices type(array_type), pointer :: c integer :: i, s, dim_, num_samples, num_elements if(present(dim)) then dim_ = dim else dim_ = 1 end if num_samples = array_shape(size(array_shape)) num_elements = product(array_shape(1:size(array_shape)-1)) c => a%create_result(array_shape = array_shape) c%val = 0.0_real32 if(dim_.eq.1)then if(present(indices))then do concurrent(i=1:size(indices,1), s=1:num_samples) c%val(indices(i),s) = a%val(i,s) end do else do concurrent(i=1:num_elements, s=1:num_samples) c%val(i,s) = a%val(i,s) end do end if elseif(dim_.eq.2)then if(present(indices))then do concurrent(i=1:num_elements, s=1:size(indices,1)) c%val(i,indices(s)) = a%val(i,s) end do else do concurrent(i=1:num_elements, s=1:num_samples) c%val(i,s) = a%val(i,s) end do end if else call stop_program("unpack_mask: only 1 or 2 dimensions are supported") end if if(present(indices))then c%indices = indices end if allocate(c%adj_ja(1,1)) c%adj_ja(1,1) = dim_ c%get_partial_left => get_partial_unpack_mask c%get_partial_right => get_partial_pack_mask if(a%requires_grad) then c%requires_grad = .true. c%is_forward = a%is_forward c%operation = 'unpack_mask' c%left_operand => a c%owns_left_operand = a%is_temporary end if end function unpack_mask_array