1D average pooling operation
| Type | Intent | Optional | Attributes | Name | ||
|---|---|---|---|---|---|---|
| class(array_type), | intent(in), | target | :: | tsource | ||
| real(kind=real32), | intent(in) | :: | fsource | |||
| logical, | intent(in), | dimension(:,:) | :: | mask |
module function merge_scalar_over_channels(tsource, fsource, mask) result(output) !! 1D average pooling operation implicit none ! Arguments class(array_type), intent(in), target :: tsource real(real32), intent(in) :: fsource logical, dimension(:,:), intent(in) :: mask type(array_type), pointer :: output ! Local variables integer :: i, m, s integer :: num_elements, num_dims output => tsource%create_result() num_dims = size(tsource%shape) num_elements = product(tsource%shape(1:num_dims - 1)) do concurrent(s = 1:size(tsource%val,2), m = 1: tsource%shape(num_dims)) do concurrent(i=1:num_elements) if(mask(i,1))then output%val(i + (m-1) * num_elements,s) = tsource%val(i,s) else output%val(i + (m-1) * num_elements,s) = fsource end if end do end do output%mask = mask output%get_partial_left => get_partial_merge_scalar_over_channels output%get_partial_left_val => get_partial_merge_scalar_over_channels_val if(tsource%requires_grad)then output%requires_grad = .true. output%is_forward = tsource%is_forward output%operation = 'merge_over_channels' output%left_operand => tsource end if end function merge_scalar_over_channels