Source code for psyclone.psyir.transformations.intrinsics.minval2loop_trans

# -----------------------------------------------------------------------------
# SPDX-FileCopyrightText: Copyright (c) 2023-2026 Science and Technology
#                         Facilities Council
# SPDX-License-Identifier: BSD-3-Clause
# See the full LICENSE file in the project root for details.
# -----------------------------------------------------------------------------

'''Module providing a transformation from a PSyIR MINVAL intrinsic to
an equivalent PSyIR loop structure. This could be useful if the MINVAL
operator is not supported by the back-end, the required
parallelisation approach, or if the performance in the inline code is
better than the intrinsic.

'''
from psyclone.psyir.nodes import IntrinsicCall
from psyclone.psyir.transformations.intrinsics.array_reduction_base_trans \
    import ArrayReductionBaseTrans
from psyclone.utils import transformation_documentation_wrapper


[docs] @transformation_documentation_wrapper class Minval2LoopTrans(ArrayReductionBaseTrans): '''Provides a transformation from a PSyIR MINVAL IntrinsicCall node to an equivalent PSyIR loop structure that is suitable for running in parallel on CPUs and GPUs. Validity checks are also performed. If MINVAL contains a single positional argument which is an array, the minimum value of all of the elements in the array is returned in the the scalar R. .. code-block:: fortran R = MINVAL(ARRAY) For example, if the array is two dimensional, the equivalent code for real data is: .. code-block:: fortran R = HUGE(R) DO J=LBOUND(ARRAY,2),UBOUND(ARRAY,2) DO I=LBOUND(ARRAY,1),UBOUND(ARRAY,1) R = MIN(R, ARRAY(I,J)) If the mask argument is provided then the mask is used to determine whether the minval is applied: .. code-block:: fortran R = MINVAL(ARRAY, mask=MOD(ARRAY, 2.0)==1) If the array is two dimensional, the equivalent code for real data is: .. code-block:: fortran R = HUGE(R) DO J=LBOUND(ARRAY,2),UBOUND(ARRAY,2) DO I=LBOUND(ARRAY,1),UBOUND(ARRAY,1) IF (MOD(ARRAY(I,J), 2.0)==1) THEN R = MIN(R, ARRAY(I,J)) The dimension argument is currently not supported and will result in a TransformationError exception being raised. .. code-block:: fortran R = MINVAL(ARRAY, dimension=2) The array passed to MINVAL may use any combination of array syntax, array notation, array sections and scalar bounds: .. code-block:: fortran R = MINVAL(ARRAY) ! array syntax R = MINVAL(ARRAY(:,:)) ! array notation R = MINVAL(ARRAY(1:10,lo:hi)) ! array sections R = MINVAL(ARRAY(1:10,:)) ! mix of array section and array notation R = MINVAL(ARRAY(1:10,2)) ! mix of array section and scalar bound For example: >>> from psyclone.psyir.backend.fortran import FortranWriter >>> from psyclone.psyir.frontend.fortran import FortranReader >>> from psyclone.psyir.transformations import Minval2LoopTrans >>> code = ("subroutine minval_test(array)\\n" ... " real :: array(10,10)\\n" ... " real :: result\\n" ... " result = minval(array)\\n" ... "end subroutine\\n") >>> psyir = FortranReader().psyir_from_source(code) >>> sum_node = psyir.children[0].children[0].children[1] >>> Minval2LoopTrans().apply(sum_node) >>> print(FortranWriter()(psyir)) subroutine minval_test(array) real, dimension(10,10) :: array real :: result integer :: idx integer :: idx_1 real :: reduction_var <BLANKLINE> reduction_var = HUGE(reduction_var) do idx = 1, 10, 1 do idx_1 = 1, 10, 1 reduction_var = MIN(reduction_var, array(idx_1,idx)) enddo enddo result = reduction_var <BLANKLINE> end subroutine minval_test <BLANKLINE> ''' _INTRINSIC_NAME = "MINVAL" _INTRINSIC_TYPE = IntrinsicCall.Intrinsic.MINVAL def _loop_body(self, lhs, rhs): '''Provide the body of the nested loop that computes the minimum value of the lhs and rhs. :param lhs: the lhs value for the min operation. :type lhs: :py:class:`psyclone.psyir.nodes.Node` :param rhs: the rhs value for the min operation. :type rhs: :py:class:`psyclone.psyir.nodes.Node` :returns: a MIN IntrinsicCall. :rtype: :py:class:`psyclone.psyir.nodes.IntrinsicCall` ''' # return min(lhs,rhs) return IntrinsicCall.create(IntrinsicCall.Intrinsic.MIN, [lhs, rhs]) def _init_var(self, reference): '''The initial value for the variable that computes the minimum value of an array. :param reference: the reference used to store the final result. :type reference: :py:class:`psyclone.psyir.node.Reference` :returns: PSyIR for the value to initialise the variable that computes the minimum value. :rtype: :py:class:`psyclone.psyir.nodes.IntrinsicCall` ''' return IntrinsicCall.create( IntrinsicCall.Intrinsic.HUGE, [reference.copy()])
[docs] def apply(self, node, options=None, **kwargs): ''' Apply the Minval2LoopTrans to the input node. :param node: the MINVAL intrinsic to transform. :type node: :py:class:`psyclone.psyir.nodes.IntrinsicCall` :param options: options for the transformation. :type options: Optional[Dict[str, Any]] ''' super().apply(node, options=options, **kwargs)
# For AutoAPI auto-documentation generation. __all__ = ["Minval2LoopTrans"]