Source code for psyclone.psyir.transformations.loop_swap_trans

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# Authors R. W. Ford, A. R. Porter, S. Siso and N. Nobre, STFC Daresbury Lab
#         A. B. G. Chalk STFC Daresbury Lab
#         J. Henrichs, Bureau of Meteorology
# Modified I. Kavcic, Met Office

''' This module provides the loop swap transformation.'''

from psyclone.psyir.nodes import Call, CodeBlock, Reference
from psyclone.psyir.transformations.loop_trans import LoopTrans
from psyclone.psyir.transformations.transformation_error import \
        TransformationError


[docs]class LoopSwapTrans(LoopTrans): ''' Provides a loop-swap transformation, e.g.: .. code-block:: fortran DO j=1, m DO i=1, n becomes: .. code-block:: fortran DO i=1, n DO j=1, m This transform is used as follows: >>> from psyclone.parse.algorithm import parse >>> from psyclone.psyGen import PSyFactory >>> ast, invokeInfo = parse("shallow_alg.f90") >>> psy = PSyFactory("gocean1.0").create(invokeInfo) >>> schedule = psy.invokes.get('invoke_0').schedule >>> # Uncomment the following line to see a text view of the schedule >>> # print(schedule.view()) >>> >>> from psyclone.transformations import LoopSwapTrans >>> swap = LoopSwapTrans() >>> swap.apply(schedule.children[0]) >>> # Uncomment the following line to see a text view of the schedule >>> # print(schedule.view()) ''' excluded_node_types = (CodeBlock, ) def __str__(self): return "Exchange the order of two nested loops: inner becomes " + \ "outer and vice versa" def validate(self, node, options=None): # pylint: disable=arguments-differ '''Checks if the given node contains a valid Fortran structure to allow swapping loops. This means the node must represent a loop, and it must have exactly one child that is also a loop. :param node_outer: a Loop node from an AST. :type node_outer: py:class:`psyclone.psyir.nodes.Loop` :param options: a dictionary with options for transformations. :type options: Optional[Dict[str, Any]] :raises TransformationError: if the supplied node does not \ allow a loop swap to be done. :raises TransformationError: if either the inner or outer loop \ has a symbol table. ''' super().validate(node, options=options) node_outer = node if not node_outer.loop_body or not node_outer.loop_body.children: raise TransformationError( f"Error in LoopSwap transformation. Supplied node " f"'{node_outer}' must be the outer loop of a loop nest and " f"must have one inner loop, but this node does not have any " f"statements inside.") node_inner = node_outer.loop_body[0] # Check that the body of the outer loop is itself a Loop try: super().validate(node_inner, options=options) except TransformationError as err: raise TransformationError( f"Error in LoopSwap transformation. Supplied node " f"'{node_outer}' must be the outer loop of a loop nest but " f"the first inner statement is not a valid loop:\n" f"{err.value}.") from err if len(node_outer.loop_body.children) > 1: raise TransformationError( f"Error in LoopSwap transformation. Supplied node " f"'{node_outer}' must be the outer loop of a loop nest and " f"must have exactly one inner loop, but this node has " f"{len(node_outer.loop_body.children)} inner statements, the " f"first two being '{node_outer.loop_body[0]}' and " f"'{node_outer.loop_body[1]}'.") calls = [call for call in node.walk(Call) if not call.is_pure] if calls: raise TransformationError( f"Nodes of type 'Call' cannot be enclosed by a LoopSwapTrans " f"unless they can be guaranteed to be pure, but found: " f"{[call.debug_string() for call in calls]}.") outer_sched = node_outer.loop_body if outer_sched.symbol_table and \ not outer_sched.symbol_table.is_empty(): raise TransformationError( "Error in LoopSwap transformation: The outer loop " "has a non-empty symbol table.") inner_sched = outer_sched[0].loop_body if inner_sched.symbol_table and \ not inner_sched.symbol_table.is_empty(): raise TransformationError( "Error in LoopSwap transformation: The inner loop " "has a non-empty symbol table.") for boundary in (node_outer.start_expr, node_outer.stop_expr, node_outer.step_expr): symbols = [ref.symbol for ref in boundary.walk(Reference)] if node_inner.variable in symbols: raise TransformationError( f"Error in LoopSwap transformation: The inner loop " f"iteration variable '{node_inner.variable.name}' is part " f"of the outer loop boundary expressions, so their order " f"can not be swapped.") for boundary in (node_inner.start_expr, node_inner.stop_expr, node_inner.step_expr): symbols = [ref.symbol for ref in boundary.walk(Reference)] if node_outer.variable in symbols: raise TransformationError( f"Error in LoopSwap transformation: The outer loop " f"iteration variable '{node_outer.variable.name}' is part " f"of the inner loop boundary expressions, so their order " f"can not be swapped.")
[docs] def apply(self, node, options=None): # pylint: disable=arguments-differ '''The argument :py:obj:`outer` must be a loop which has exactly one inner loop. This transform then swaps the outer and inner loop. :param outer: the node representing the outer loop. :type outer: :py:class:`psyclone.psyir.nodes.Loop` :param options: a dictionary with options for transformations. :type options: Optional[Dict[str, Any]] :raises TransformationError: if the supplied node does not \ allow a loop swap to be done. ''' self.validate(node, options=options) outer = node inner = outer.loop_body[0] # Detach the inner code inner_loop_body = inner.loop_body.detach() # Swap the loops outer.replace_with(inner.detach()) inner.addchild(outer.loop_body.detach()) inner.loop_body.addchild(outer) # Insert again the inner code in the new inner loop outer.addchild(inner_loop_body)
# For Sphinx AutoAPI documentation generation __all__ = ["LoopSwapTrans"]