Uday Bondhugula | 257339b | 2018-08-21 10:32:24 -0700 | [diff] [blame^] | 1 | //===- AffineStructures.cpp - MLIR Affine Structures Class-------*- C++ -*-===// |
| 2 | // |
| 3 | // Copyright 2019 The MLIR Authors. |
| 4 | // |
| 5 | // Licensed under the Apache License, Version 2.0 (the "License"); |
| 6 | // you may not use this file except in compliance with the License. |
| 7 | // You may obtain a copy of the License at |
| 8 | // |
| 9 | // http://www.apache.org/licenses/LICENSE-2.0 |
| 10 | // |
| 11 | // Unless required by applicable law or agreed to in writing, software |
| 12 | // distributed under the License is distributed on an "AS IS" BASIS, |
| 13 | // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| 14 | // See the License for the specific language governing permissions and |
| 15 | // limitations under the License. |
| 16 | // ============================================================================= |
| 17 | // |
| 18 | // Structures for affine/polyhedral analysis of MLIR functions. |
| 19 | // |
| 20 | //===----------------------------------------------------------------------===// |
| 21 | |
| 22 | #include "mlir/Analysis/AffineStructures.h" |
| 23 | #include "mlir/IR/AffineExpr.h" |
| 24 | #include "mlir/IR/AffineMap.h" |
| 25 | #include "mlir/IR/IntegerSet.h" |
| 26 | #include "mlir/IR/MLIRContext.h" |
| 27 | #include "mlir/IR/StandardOps.h" |
| 28 | |
| 29 | namespace mlir { |
| 30 | |
| 31 | MutableAffineMap::MutableAffineMap(AffineMap *map) { |
| 32 | for (auto *result : map->getResults()) |
| 33 | results.push_back(result); |
| 34 | for (auto *rangeSize : map->getRangeSizes()) |
| 35 | results.push_back(rangeSize); |
| 36 | } |
| 37 | |
| 38 | MutableIntegerSet::MutableIntegerSet(IntegerSet *set) |
| 39 | : numDims(set->getNumDims()), numSymbols(set->getNumSymbols()) { |
| 40 | // TODO(bondhugula) |
| 41 | } |
| 42 | |
| 43 | AffineValueMap::AffineValueMap(const AffineApplyOp &op) |
| 44 | : map(op.getAffineMap()) { |
| 45 | // TODO: pull operands and results in. |
| 46 | } |
| 47 | |
| 48 | bool AffineValueMap::isMultipleOf(unsigned idx, int64_t factor) const { |
| 49 | /* Check if the (first result expr) % factor becomes 0. */ |
| 50 | if (auto *expr = dyn_cast<AffineConstantExpr>(AffineBinaryOpExpr::get( |
| 51 | AffineExpr::Kind::Mod, map.getResult(idx), |
| 52 | AffineConstantExpr::get(factor, context), context))) |
| 53 | return expr->getValue() == 0; |
| 54 | |
| 55 | // TODO(bondhugula): use FlatAffineConstraints to complete this. |
| 56 | assert(0 && "isMultipleOf implementation incomplete"); |
| 57 | } |
| 58 | |
| 59 | AffineValueMap::~AffineValueMap() {} |
| 60 | |
| 61 | } // end namespace mlir |