| 1 | //===- ScheduleOrderedAssignments.h --- Assignment scheduling ---*- C++ -*-===// |
| 2 | // |
| 3 | // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. |
| 4 | // See https://llvm.org/LICENSE.txt for license information. |
| 5 | // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception |
| 6 | // |
| 7 | //===----------------------------------------------------------------------===// |
| 8 | // This file defines a utility to analyze and schedule the evaluation of |
| 9 | // of hlfir::OrderedAssignmentTreeOpInterface trees that represent Fortran |
| 10 | // Forall, Where, user defined assignments and assignments to vector |
| 11 | // subscripted entities. |
| 12 | //===----------------------------------------------------------------------===// |
| 13 | |
| 14 | #ifndef OPTIMIZER_HLFIR_TRANSFORM_SCHEDULEORDEREDASSIGNMENTS_H |
| 15 | #define OPTIMIZER_HLFIR_TRANSFORM_SCHEDULEORDEREDASSIGNMENTS_H |
| 16 | |
| 17 | #include "flang/Optimizer/HLFIR/HLFIROps.h" |
| 18 | |
| 19 | namespace hlfir { |
| 20 | |
| 21 | /// Structure to represent that the value yielded by some region |
| 22 | /// must be fully evaluated and saved for all index values at |
| 23 | /// a given point of the ordered assignment tree evaluation. |
| 24 | /// All subsequent evaluation depending on the value yielded |
| 25 | /// by this region will use the value that was saved. |
| 26 | struct SaveEntity { |
| 27 | mlir::Region *yieldRegion; |
| 28 | /// Returns the hlfir.yield op argument. |
| 29 | mlir::Value getSavedValue(); |
| 30 | }; |
| 31 | |
| 32 | /// A run is a list of actions required to evaluate an ordered assignment tree |
| 33 | /// that can be done in the same loop nest. |
| 34 | /// The actions can evaluate and saves element values into temporary or evaluate |
| 35 | /// assignments. |
| 36 | /// The evaluation of an action in a run will cause the evaluation of all the |
| 37 | /// regions that yield entities required to implement the action, except if the |
| 38 | /// region was saved in a previous run, in which case it will use the previously |
| 39 | /// saved value. |
| 40 | struct Run { |
| 41 | /// An action is either saving the values yielded by a region, or evaluating |
| 42 | /// the assignment part of an hlfir::RegionAssignOp. |
| 43 | using Action = std::variant<hlfir::RegionAssignOp, SaveEntity>; |
| 44 | llvm::SmallVector<Action> actions; |
| 45 | llvm::SmallVector<mlir::MemoryEffects::EffectInstance> memoryEffects; |
| 46 | }; |
| 47 | |
| 48 | /// List of runs to be executed in order to evaluate an order assignment tree. |
| 49 | using Schedule = llvm::SmallVector<Run>; |
| 50 | |
| 51 | /// Example of schedules and run, and what they mean: |
| 52 | /// Fortran: forall (i=i:10) x(i) = y(i) |
| 53 | /// |
| 54 | /// hlfir.forall lb { hlfir.yield %c1} ub { hlfir.yield %c10} do { |
| 55 | /// ^bb1(%i: index) |
| 56 | /// hlfir.region_assign { |
| 57 | /// %yi_addr = hlfir.designate %y(%i) |
| 58 | /// %yi = fir.load %yi_addr |
| 59 | /// hlfir.yield %yi |
| 60 | /// } to { |
| 61 | /// %xi = hlfir.designate %x(%i) |
| 62 | /// hlfir.yield %xi |
| 63 | /// } |
| 64 | /// } |
| 65 | /// |
| 66 | /// If the scheduling analysis cannot prove that %x and %y do not overlap, it |
| 67 | /// will generate 2 runs for the schdule. The first containing |
| 68 | /// SaveEntity{rhs_region}, and the second one containing the |
| 69 | /// hlfir.region_assign. |
| 70 | /// |
| 71 | /// The lowering of that schedule will have to: |
| 72 | /// For the first run: |
| 73 | /// 1. create a temporary to contain all the %yi for all %i |
| 74 | /// 2. create a loop nest for the forall, evaluate the %yi and save them |
| 75 | /// inside the loop, but do not evaluate the LHS or assignment. |
| 76 | /// For the second run: |
| 77 | /// 3. create a loop nest again for the forall, evaluate the LHS, get the |
| 78 | /// saved %yi, and evaluate %yi to %xi. After all runs: |
| 79 | /// 4. clean the temporary for the %yi. |
| 80 | /// |
| 81 | /// If the scheduling analysis can prove %x and %y do not overlap, it will |
| 82 | /// generate only one run with the hlfir.region_assign, which will be |
| 83 | /// implemented as a single loop that evaluate %xi, %yi and does %xi = %yi in |
| 84 | /// the loop body. |
| 85 | |
| 86 | /// Core function that analyzes an ordered assignment tree and builds a |
| 87 | /// schedule for its evaluation. |
| 88 | /// The main goal of the scheduler is to avoid creating temporary storage |
| 89 | /// (required for SaveEntity). But it can optionally be asked to fuse Forall |
| 90 | /// and Where assignments in the same loop nests when possible since it has the |
| 91 | /// memory effects analysis at hand. |
| 92 | Schedule buildEvaluationSchedule(hlfir::OrderedAssignmentTreeOpInterface root, |
| 93 | bool tryFusingAssignments); |
| 94 | |
| 95 | } // namespace hlfir |
| 96 | #endif // OPTIMIZER_HLFIR_TRANSFORM_SCHEDULEORDERASSIGNMENTS_H |
| 97 | |