forked from OSchip/llvm-project
176 lines
5.6 KiB
C++
176 lines
5.6 KiB
C++
//===- NestedMatcher.cpp - NestedMatcher Impl ----------------------------===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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#include "mlir/Analysis/NestedMatcher.h"
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#include "mlir/Dialect/Affine/IR/AffineOps.h"
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#include "mlir/Dialect/StandardOps/IR/Ops.h"
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#include "llvm/ADT/ArrayRef.h"
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#include "llvm/ADT/STLExtras.h"
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#include "llvm/Support/Allocator.h"
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#include "llvm/Support/raw_ostream.h"
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using namespace mlir;
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llvm::BumpPtrAllocator *&NestedMatch::allocator() {
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thread_local llvm::BumpPtrAllocator *allocator = nullptr;
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return allocator;
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}
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NestedMatch NestedMatch::build(Operation *operation,
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ArrayRef<NestedMatch> nestedMatches) {
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auto *result = allocator()->Allocate<NestedMatch>();
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auto *children = allocator()->Allocate<NestedMatch>(nestedMatches.size());
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std::uninitialized_copy(nestedMatches.begin(), nestedMatches.end(), children);
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new (result) NestedMatch();
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result->matchedOperation = operation;
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result->matchedChildren =
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ArrayRef<NestedMatch>(children, nestedMatches.size());
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return *result;
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}
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llvm::BumpPtrAllocator *&NestedPattern::allocator() {
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thread_local llvm::BumpPtrAllocator *allocator = nullptr;
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return allocator;
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}
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void NestedPattern::copyNestedToThis(ArrayRef<NestedPattern> nested) {
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if (nested.empty())
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return;
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auto *newNested = allocator()->Allocate<NestedPattern>(nested.size());
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std::uninitialized_copy(nested.begin(), nested.end(), newNested);
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nestedPatterns = ArrayRef<NestedPattern>(newNested, nested.size());
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}
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void NestedPattern::freeNested() {
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for (const auto &p : nestedPatterns)
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p.~NestedPattern();
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}
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NestedPattern::NestedPattern(ArrayRef<NestedPattern> nested,
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FilterFunctionType filter)
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: nestedPatterns(), filter(filter), skip(nullptr) {
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copyNestedToThis(nested);
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}
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NestedPattern::NestedPattern(const NestedPattern &other)
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: nestedPatterns(), filter(other.filter), skip(other.skip) {
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copyNestedToThis(other.nestedPatterns);
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}
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NestedPattern &NestedPattern::operator=(const NestedPattern &other) {
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freeNested();
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filter = other.filter;
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skip = other.skip;
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copyNestedToThis(other.nestedPatterns);
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return *this;
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}
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unsigned NestedPattern::getDepth() const {
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if (nestedPatterns.empty()) {
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return 1;
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}
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unsigned depth = 0;
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for (auto &c : nestedPatterns) {
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depth = std::max(depth, c.getDepth());
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}
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return depth + 1;
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}
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/// Matches a single operation in the following way:
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/// 1. checks the kind of operation against the matcher, if different then
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/// there is no match;
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/// 2. calls the customizable filter function to refine the single operation
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/// match with extra semantic constraints;
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/// 3. if all is good, recursively matches the nested patterns;
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/// 4. if all nested match then the single operation matches too and is
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/// appended to the list of matches;
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/// 5. TODO: Optionally applies actions (lambda), in which case we will want
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/// to traverse in post-order DFS to avoid invalidating iterators.
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void NestedPattern::matchOne(Operation *op,
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SmallVectorImpl<NestedMatch> *matches) {
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if (skip == op) {
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return;
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}
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// Local custom filter function
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if (!filter(*op)) {
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return;
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}
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if (nestedPatterns.empty()) {
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SmallVector<NestedMatch, 8> nestedMatches;
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matches->push_back(NestedMatch::build(op, nestedMatches));
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return;
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}
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// Take a copy of each nested pattern so we can match it.
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for (auto nestedPattern : nestedPatterns) {
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SmallVector<NestedMatch, 8> nestedMatches;
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// Skip elem in the walk immediately following. Without this we would
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// essentially need to reimplement walk here.
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nestedPattern.skip = op;
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nestedPattern.match(op, &nestedMatches);
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// If we could not match even one of the specified nestedPattern, early exit
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// as this whole branch is not a match.
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if (nestedMatches.empty()) {
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return;
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}
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matches->push_back(NestedMatch::build(op, nestedMatches));
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}
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}
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static bool isAffineForOp(Operation &op) { return isa<AffineForOp>(op); }
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static bool isAffineIfOp(Operation &op) { return isa<AffineIfOp>(op); }
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namespace mlir {
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namespace matcher {
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NestedPattern Op(FilterFunctionType filter) {
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return NestedPattern({}, filter);
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}
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NestedPattern If(NestedPattern child) {
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return NestedPattern(child, isAffineIfOp);
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}
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NestedPattern If(FilterFunctionType filter, NestedPattern child) {
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return NestedPattern(child, [filter](Operation &op) {
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return isAffineIfOp(op) && filter(op);
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});
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}
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NestedPattern If(ArrayRef<NestedPattern> nested) {
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return NestedPattern(nested, isAffineIfOp);
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}
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NestedPattern If(FilterFunctionType filter, ArrayRef<NestedPattern> nested) {
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return NestedPattern(nested, [filter](Operation &op) {
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return isAffineIfOp(op) && filter(op);
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});
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}
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NestedPattern For(NestedPattern child) {
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return NestedPattern(child, isAffineForOp);
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}
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NestedPattern For(FilterFunctionType filter, NestedPattern child) {
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return NestedPattern(
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child, [=](Operation &op) { return isAffineForOp(op) && filter(op); });
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}
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NestedPattern For(ArrayRef<NestedPattern> nested) {
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return NestedPattern(nested, isAffineForOp);
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}
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NestedPattern For(FilterFunctionType filter, ArrayRef<NestedPattern> nested) {
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return NestedPattern(
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nested, [=](Operation &op) { return isAffineForOp(op) && filter(op); });
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}
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bool isLoadOrStore(Operation &op) {
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return isa<AffineLoadOp, AffineStoreOp>(op);
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}
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} // end namespace matcher
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} // end namespace mlir
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