//===- ScheduleOrderedAssignments.h --- Assignment scheduling ---*- C++ -*-===// // // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. // See https://llvm.org/LICENSE.txt for license information. // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception // //===----------------------------------------------------------------------===// // This file defines a utility to analyze and schedule the evaluation of // of hlfir::OrderedAssignmentTreeOpInterface trees that represent Fortran // Forall, Where, user defined assignments and assignments to vector // subscripted entities. //===----------------------------------------------------------------------===// #ifndef OPTIMIZER_HLFIR_TRANSFORM_SCHEDULEORDEREDASSIGNMENTS_H #define OPTIMIZER_HLFIR_TRANSFORM_SCHEDULEORDEREDASSIGNMENTS_H #include "flang/Optimizer/HLFIR/HLFIROps.h" namespace hlfir { /// Structure to represent that the value yielded by some region /// must be fully evaluated and saved for all index values at /// a given point of the ordered assignment tree evaluation. /// All subsequent evaluation depending on the value yielded /// by this region will use the value that was saved. struct SaveEntity { mlir::Region *yieldRegion; /// Returns the hlfir.yield op argument. mlir::Value getSavedValue(); }; /// A run is a list of actions required to evaluate an ordered assignment tree /// that can be done in the same loop nest. /// The actions can evaluate and saves element values into temporary or evaluate /// assignments. /// The evaluation of an action in a run will cause the evaluation of all the /// regions that yield entities required to implement the action, except if the /// region was saved in a previous run, in which case it will use the previously /// saved value. struct Run { /// An action is either saving the values yielded by a region, or evaluating /// the assignment part of an hlfir::RegionAssignOp. using Action = std::variant; llvm::SmallVector actions; llvm::SmallVector memoryEffects; }; /// List of runs to be executed in order to evaluate an order assignment tree. using Schedule = llvm::SmallVector; /// Example of schedules and run, and what they mean: /// Fortran: forall (i=i:10) x(i) = y(i) /// /// hlfir.forall lb { hlfir.yield %c1} ub { hlfir.yield %c10} do { /// ^bb1(%i: index) /// hlfir.region_assign { /// %yi_addr = hlfir.designate %y(%i) /// %yi = fir.load %yi_addr /// hlfir.yield %yi /// } to { /// %xi = hlfir.designate %x(%i) /// hlfir.yield %xi /// } /// } /// /// If the scheduling analysis cannot prove that %x and %y do not overlap, it /// will generate 2 runs for the schdule. The first containing /// SaveEntity{rhs_region}, and the second one containing the /// hlfir.region_assign. /// /// The lowering of that schedule will have to: /// For the first run: /// 1. create a temporary to contain all the %yi for all %i /// 2. create a loop nest for the forall, evaluate the %yi and save them /// inside the loop, but do not evaluate the LHS or assignment. /// For the second run: /// 3. create a loop nest again for the forall, evaluate the LHS, get the /// saved %yi, and evaluate %yi to %xi. After all runs: /// 4. clean the temporary for the %yi. /// /// If the scheduling analysis can prove %x and %y do not overlap, it will /// generate only one run with the hlfir.region_assign, which will be /// implemented as a single loop that evaluate %xi, %yi and does %xi = %yi in /// the loop body. /// Core function that analyzes an ordered assignment tree and builds a /// schedule for its evaluation. /// The main goal of the scheduler is to avoid creating temporary storage /// (required for SaveEntity). But it can optionally be asked to fuse Forall /// and Where assignments in the same loop nests when possible since it has the /// memory effects analysis at hand. Schedule buildEvaluationSchedule(hlfir::OrderedAssignmentTreeOpInterface root, bool tryFusingAssignments); } // namespace hlfir #endif // OPTIMIZER_HLFIR_TRANSFORM_SCHEDULEORDERASSIGNMENTS_H