device_RAMP_mapping.f90

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module device_ramp_mapping
  use utils, only: neko_error
  use num_types, only: rp, c_rp
  use, intrinsic :: iso_c_binding, only: c_ptr, c_int
  implicit none
  private
 
  public :: device_convex_up_ramp_mapping_apply, &
       device_convex_up_ramp_mapping_apply_backward, &
       device_convex_down_ramp_mapping_apply, &
       device_convex_down_ramp_mapping_apply_backward
 
#if HAVE_HIP
 
  interface
     subroutine hip_convex_down_ramp_mapping_apply(f_min, f_max, q, &
          X_out_d, X_in_d, n) &
          bind(c, name = 'hip_convex_down_RAMP_mapping_apply')
       import c_rp, c_ptr, c_int
       real(c_rp) :: f_min
       real(c_rp) :: f_max
       real(c_rp) :: q
       type(c_ptr), value :: X_out_d
       type(c_ptr), value :: X_in_d
       integer(c_int) :: n
     end subroutine hip_convex_down_ramp_mapping_apply
  end interface
 
  interface
     subroutine hip_convex_down_ramp_mapping_apply_backward(f_min, f_max, q, &
          sense_out_d, sens_in_d, X_in_d, n) &
          bind(c, name = 'hip_convex_down_RAMP_mapping_apply_backward')
       import c_rp, c_ptr, c_int
       real(c_rp) :: f_min
       real(c_rp) :: f_max
       real(c_rp) :: q
       type(c_ptr), value :: sense_out_d
       type(c_ptr), value :: sens_in_d
       type(c_ptr), value :: X_in_d
       integer(c_int) :: n
     end subroutine hip_convex_down_ramp_mapping_apply_backward
  end interface
 
  interface
     subroutine hip_convex_up_ramp_mapping_apply(f_min, f_max, q, &
          X_out_d, X_in_d, n) &
          bind(c, name = 'hip_convex_up_RAMP_mapping_apply')
       import c_rp, c_ptr, c_int
       real(c_rp) :: f_min
       real(c_rp) :: f_max
       real(c_rp) :: q
       type(c_ptr), value :: X_out_d
       type(c_ptr), value :: X_in_d
       integer(c_int) :: n
     end subroutine hip_convex_up_ramp_mapping_apply
  end interface
 
  interface
     subroutine hip_convex_up_ramp_mapping_apply_backward(f_min, f_max, q, &
          sense_out_d, sens_in_d, X_in_d, n) &
          bind(c, name = 'hip_convex_up_RAMP_mapping_apply_backward')
       import c_rp, c_ptr, c_int
       real(c_rp) :: f_min
       real(c_rp) :: f_max
       real(c_rp) :: q
       type(c_ptr), value :: sense_out_d
       type(c_ptr), value :: sens_in_d
       type(c_ptr), value :: X_in_d
       integer(c_int) :: n
     end subroutine hip_convex_up_ramp_mapping_apply_backward
  end interface
 
#elif HAVE_CUDA
 
  interface
     subroutine cuda_convex_down_ramp_mapping_apply(f_min, f_max, q, &
          X_out_d, X_in_d, n) &
          bind(c, name = 'cuda_convex_down_RAMP_mapping_apply')
       import c_rp, c_ptr, c_int
       real(c_rp) :: f_min
       real(c_rp) :: f_max
       real(c_rp) :: q
       type(c_ptr), value :: X_out_d
       type(c_ptr), value :: X_in_d
       integer(c_int) :: n
     end subroutine cuda_convex_down_ramp_mapping_apply
  end interface
 
  interface
     subroutine cuda_convex_down_ramp_mapping_apply_backward(f_min, f_max, q, &
          sense_out_d, sens_in_d, X_in_d, n) &
          bind(c, name = 'cuda_convex_down_RAMP_mapping_apply_backward')
       import c_rp, c_ptr, c_int
       real(c_rp) :: f_min
       real(c_rp) :: f_max
       real(c_rp) :: q
       type(c_ptr), value :: sense_out_d
       type(c_ptr), value :: sens_in_d
       type(c_ptr), value :: X_in_d
       integer(c_int) :: n
     end subroutine cuda_convex_down_ramp_mapping_apply_backward
  end interface
 
  interface
     subroutine cuda_convex_up_ramp_mapping_apply(f_min, f_max, q, &
          X_out_d, X_in_d, n) &
          bind(c, name = 'cuda_convex_up_RAMP_mapping_apply')
       import c_rp, c_ptr, c_int
       real(c_rp) :: f_min
       real(c_rp) :: f_max
       real(c_rp) :: q
       type(c_ptr), value :: X_out_d
       type(c_ptr), value :: X_in_d
       integer(c_int) :: n
     end subroutine cuda_convex_up_ramp_mapping_apply
  end interface
 
  interface
     subroutine cuda_convex_up_ramp_mapping_apply_backward(f_min, f_max, q, &
          sense_out_d, sens_in_d, X_in_d, n) &
          bind(c, name = 'cuda_convex_up_RAMP_mapping_apply_backward')
       import c_rp, c_ptr, c_int
       real(c_rp) :: f_min
       real(c_rp) :: f_max
       real(c_rp) :: q
       type(c_ptr), value :: sense_out_d
       type(c_ptr), value :: sens_in_d
       type(c_ptr), value :: X_in_d
       integer(c_int) :: n
     end subroutine cuda_convex_up_ramp_mapping_apply_backward
  end interface
 
#elif HAVE_OPENCL
 
#endif
 
contains
 
  subroutine device_convex_down_ramp_mapping_apply(f_min, f_max, q, &
       X_out_d, X_in_d, n)
    real(kind=rp), intent(in) :: f_min
    real(kind=rp), intent(in) :: f_max
    real(kind=rp), intent(in) :: q
    type(c_ptr) :: X_out_d
    type(c_ptr) :: X_in_d
    integer :: n
#if HAVE_HIP
    call hip_convex_down_ramp_mapping_apply(f_min, f_max, q, &
         x_out_d, x_in_d, n)
#elif HAVE_CUDA
    call cuda_convex_down_ramp_mapping_apply(f_min, f_max, q, &
         x_out_d, x_in_d, n)
#else
    call neko_error('No device backend configured')
#endif
  end subroutine device_convex_down_ramp_mapping_apply
 
  subroutine device_convex_down_ramp_mapping_apply_backward(f_min, f_max, q, &
       sense_out_d, sens_in_d, X_in_d, n)
    real(kind=rp), intent(in) :: f_min
    real(kind=rp), intent(in) :: f_max
    real(kind=rp), intent(in) :: q
    type(c_ptr) :: sense_out_d
    type(c_ptr) :: sens_in_d
    type(c_ptr) :: X_in_d
    integer :: n
#if HAVE_HIP
    call hip_convex_down_ramp_mapping_apply_backward(f_min, f_max, q, &
         sense_out_d, sens_in_d, x_in_d, n)
#elif HAVE_CUDA
    call cuda_convex_down_ramp_mapping_apply_backward(f_min, f_max, q, &
         sense_out_d, sens_in_d, x_in_d, n)
#else
    call neko_error('No device backend configured')
#endif
  end subroutine device_convex_down_ramp_mapping_apply_backward
 
  subroutine device_convex_up_ramp_mapping_apply(f_min, f_max, q, &
       X_out_d, X_in_d, n)
    real(kind=rp), intent(in) :: f_min
    real(kind=rp), intent(in) :: f_max
    real(kind=rp), intent(in) :: q
    type(c_ptr) :: X_out_d
    type(c_ptr) :: X_in_d
    integer :: n
#if HAVE_HIP
    call hip_convex_up_ramp_mapping_apply(f_min, f_max, q, &
         x_out_d, x_in_d, n)
#elif HAVE_CUDA
    call cuda_convex_up_ramp_mapping_apply(f_min, f_max, q, &
         x_out_d, x_in_d, n)
#else
    call neko_error('No device backend configured')
#endif
  end subroutine device_convex_up_ramp_mapping_apply
 
  subroutine device_convex_up_ramp_mapping_apply_backward(f_min, f_max, q, &
       sense_out_d, sens_in_d, X_in_d, n)
    real(kind=rp), intent(in) :: f_min
    real(kind=rp), intent(in) :: f_max
    real(kind=rp), intent(in) :: q
    type(c_ptr) :: sense_out_d
    type(c_ptr) :: sens_in_d
    type(c_ptr) :: X_in_d
    integer :: n
#if HAVE_HIP
    call hip_convex_up_ramp_mapping_apply_backward(f_min, f_max, q, &
         sense_out_d, sens_in_d, x_in_d, n)
#elif HAVE_CUDA
    call cuda_convex_up_ramp_mapping_apply_backward(f_min, f_max, q, &
         sense_out_d, sens_in_d, x_in_d, n)
#else
    call neko_error('No device backend configured')
#endif
  end subroutine device_convex_up_ramp_mapping_apply_backward
end module device_ramp_mapping