get_partial_gno_agg_features Function

function get_partial_gno_agg_features(this, upstream_grad) result(output)

Gradient of gno_aggregate w.r.t. features (left operand)

d(m_i)/d(h_j) = kappa_{ij}^T (the [F_in, F_out] transpose) So: grad_h(j) += kappa_{ij}^T @ upstream(:,i)

Arguments

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

Forward result node containing saved operands

type(array_type), intent(in) :: upstream_grad

Upstream gradient tensor

Return Value type(array_type)

Gradient tensor for node features


Source Code

  function get_partial_gno_agg_features(this, upstream_grad) result(output)
    !! Gradient of gno_aggregate w.r.t. features (left operand)
    !!
    !! d(m_i)/d(h_j) = kappa_{ij}^T  (the [F_in, F_out] transpose)
    !! So: grad_h(j) += kappa_{ij}^T @ upstream(:,i)
    implicit none

    ! Arguments
    class(array_type), intent(inout) :: this
    !! Forward result node containing saved operands
    type(array_type), intent(in) :: upstream_grad
    !! Upstream gradient tensor
    type(array_type) :: output
    !! Gradient tensor for node features

    call output%allocate(array_shape=shape(this%left_operand%val))
    call this%get_partial_left_val(upstream_grad%val, output%val)

  end function get_partial_gno_agg_features