github.com/johnnyeven/libtools@v0.0.0-20191126065708-61829c1adf46/third_party/mlir/lib/Transforms/MemRefDataFlowOpt.cpp

//===- MemRefDataFlowOpt.cpp - MemRef DataFlow Optimization pass ------ -*-===//
//
// Copyright 2019 The MLIR Authors.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//   http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// =============================================================================
//
// This file implements a pass to forward memref stores to loads, thereby
// potentially getting rid of intermediate memref's entirely.
// TODO(mlir-team): In the future, similar techniques could be used to eliminate
// dead memref store's and perform more complex forwarding when support for
// SSA scalars live out of 'affine.for'/'affine.if' statements is available.
//===----------------------------------------------------------------------===//

#include "mlir/Analysis/AffineAnalysis.h"
#include "mlir/Analysis/Dominance.h"
#include "mlir/Analysis/Utils.h"
#include "mlir/Dialect/AffineOps/AffineOps.h"
#include "mlir/Dialect/StandardOps/Ops.h"
#include "mlir/Pass/Pass.h"
#include "mlir/Transforms/Passes.h"
#include "llvm/ADT/SmallPtrSet.h"
#include <algorithm>

#define DEBUG_TYPE "memref-dataflow-opt"

using namespace mlir;

namespace {

// The store to load forwarding relies on three conditions:
//
// 1) there has to be a dependence from the store to the load satisfied at the
// block* immediately within the innermost loop enclosing both the load op and
// the store op,
//
// 2) the store op should dominate the load op,
//
// 3) among all candidate store op's that satisfy (1) and (2), if there exists a
// store op that postdominates all those that satisfy (1), such a store op is
// provably the last writer to the particular memref location being loaded from
// by the load op, and its store value can be forwarded to the load.
//
// 4) the load should touch a single location in the memref for a given
// iteration of the innermost loop enclosing both the store op and the load op.
//
// (* A dependence being satisfied at a block: a dependence that is satisfied by
// virtue of the destination operation appearing textually / lexically after
// the source operation within the body of a 'affine.for' operation; thus, a
// dependence is always either satisfied by a loop or by a block).
//
// The above conditions are simple to check, sufficient, and powerful for most
// cases in practice - condition (1) and (3) are precise and necessary, while
// condition (2) is a sufficient one but not necessary (since it doesn't reason
// about loops that are guaranteed to execute at least once).
//
// TODO(mlir-team): more forwarding can be done when support for
// loop/conditional live-out SSA values is available.
// TODO(mlir-team): do general dead store elimination for memref's. This pass
// currently only eliminates the stores only if no other loads/uses (other
// than dealloc) remain.
//
struct MemRefDataFlowOpt : public FunctionPass<MemRefDataFlowOpt> {
  void runOnFunction() override;

  void forwardStoreToLoad(AffineLoadOp loadOp);

  // A list of memref's that are potentially dead / could be eliminated.
  SmallPtrSet<Value *, 4> memrefsToErase;
  // Load op's whose results were replaced by those forwarded from stores.
  std::vector<Operation *> loadOpsToErase;

  DominanceInfo *domInfo = nullptr;
  PostDominanceInfo *postDomInfo = nullptr;
};

} // end anonymous namespace

/// Creates a pass to perform optimizations relying on memref dataflow such as
/// store to load forwarding, elimination of dead stores, and dead allocs.
std::unique_ptr<FunctionPassBase> mlir::createMemRefDataFlowOptPass() {
  return std::make_unique<MemRefDataFlowOpt>();
}

// This is a straightforward implementation not optimized for speed. Optimize
// this in the future if needed.
void MemRefDataFlowOpt::forwardStoreToLoad(AffineLoadOp loadOp) {
  Operation *lastWriteStoreOp = nullptr;
  Operation *loadOpInst = loadOp.getOperation();

  // First pass over the use list to get minimum number of surrounding
  // loops common between the load op and the store op, with min taken across
  // all store ops.
  SmallVector<Operation *, 8> storeOps;
  unsigned minSurroundingLoops = getNestingDepth(*loadOpInst);
  for (auto *user : loadOp.getMemRef()->getUsers()) {
    auto storeOp = dyn_cast<AffineStoreOp>(user);
    if (!storeOp)
      continue;
    auto *storeOpInst = storeOp.getOperation();
    unsigned nsLoops = getNumCommonSurroundingLoops(*loadOpInst, *storeOpInst);
    minSurroundingLoops = std::min(nsLoops, minSurroundingLoops);
    storeOps.push_back(storeOpInst);
  }

  unsigned loadOpDepth = getNestingDepth(*loadOpInst);

  // 1. Check if there is a dependence satisfied at depth equal to the depth
  // of the loop body of the innermost common surrounding loop of the storeOp
  // and loadOp.
  // The list of store op candidates for forwarding - need to satisfy the
  // conditions listed at the top.
  SmallVector<Operation *, 8> fwdingCandidates;
  // Store ops that have a dependence into the load (even if they aren't
  // forwarding candidates). Each forwarding candidate will be checked for a
  // post-dominance on these. 'fwdingCandidates' are a subset of depSrcStores.
  SmallVector<Operation *, 8> depSrcStores;
  for (auto *storeOpInst : storeOps) {
    MemRefAccess srcAccess(storeOpInst);
    MemRefAccess destAccess(loadOpInst);
    FlatAffineConstraints dependenceConstraints;
    unsigned nsLoops = getNumCommonSurroundingLoops(*loadOpInst, *storeOpInst);
    // Dependences at loop depth <= minSurroundingLoops do NOT matter.
    for (unsigned d = nsLoops + 1; d > minSurroundingLoops; d--) {
      DependenceResult result = checkMemrefAccessDependence(
          srcAccess, destAccess, d, &dependenceConstraints,
          /*dependenceComponents=*/nullptr);
      if (!hasDependence(result))
        continue;
      depSrcStores.push_back(storeOpInst);
      // Check if this store is a candidate for forwarding; we only forward if
      // the dependence from the store is carried by the *body* of innermost
      // common surrounding loop. As an example this filters out cases like:
      // affine.for %i0
      //   affine.for %i1
      //     %idx = affine.apply (d0) -> (d0 + 1) (%i0)
      //     store %A[%idx]
      //     load %A[%i0]
      //
      if (d != nsLoops + 1)
        break;

      // 2. The store has to dominate the load op to be candidate. This is not
      // strictly a necessary condition since dominance isn't a prerequisite for
      // a memref element store to reach a load, but this is sufficient and
      // reasonably powerful in practice.
      if (!domInfo->dominates(storeOpInst, loadOpInst))
        break;

      // Finally, forwarding is only possible if the load touches a single
      // location in the memref across the enclosing loops *not* common with the
      // store. This is filtering out cases like:
      // for (i ...)
      //   a [i] = ...
      //   for (j ...)
      //      ... = a[j]
      // If storeOpInst and loadOpDepth at the same nesting depth, the load Op
      // is trivially loading from a single location at that depth; so there
      // isn't a need to call isRangeOneToOne.
      if (getNestingDepth(*storeOpInst) < loadOpDepth) {
        MemRefRegion region(loadOpInst->getLoc());
        region.compute(loadOpInst, nsLoops);
        if (!region.getConstraints()->isRangeOneToOne(
                /*start=*/0, /*limit=*/loadOp.getMemRefType().getRank()))
          break;
      }

      // After all these conditions, we have a candidate for forwarding!
      fwdingCandidates.push_back(storeOpInst);
      break;
    }
  }

  // Note: this can implemented in a cleaner way with postdominator tree
  // traversals. Consider this for the future if needed.
  for (auto *storeOpInst : fwdingCandidates) {
    // 3. Of all the store op's that meet the above criteria, the store
    // that postdominates all 'depSrcStores' (if such a store exists) is the
    // unique store providing the value to the load, i.e., provably the last
    // writer to that memref loc.
    if (llvm::all_of(depSrcStores, [&](Operation *depStore) {
          return postDomInfo->postDominates(storeOpInst, depStore);
        })) {
      lastWriteStoreOp = storeOpInst;
      break;
    }
  }
  // TODO: optimization for future: those store op's that are determined to be
  // postdominated above can actually be recorded and skipped on the 'i' loop
  // iteration above --- since they can never post dominate everything.

  if (!lastWriteStoreOp)
    return;

  // Perform the actual store to load forwarding.
  Value *storeVal = cast<AffineStoreOp>(lastWriteStoreOp).getValueToStore();
  loadOp.replaceAllUsesWith(storeVal);
  // Record the memref for a later sweep to optimize away.
  memrefsToErase.insert(loadOp.getMemRef());
  // Record this to erase later.
  loadOpsToErase.push_back(loadOpInst);
}

void MemRefDataFlowOpt::runOnFunction() {
  // Only supports single block functions at the moment.
  FuncOp f = getFunction();
  if (f.getBlocks().size() != 1) {
    markAllAnalysesPreserved();
    return;
  }

  domInfo = &getAnalysis<DominanceInfo>();
  postDomInfo = &getAnalysis<PostDominanceInfo>();

  loadOpsToErase.clear();
  memrefsToErase.clear();

  // Walk all load's and perform load/store forwarding.
  f.walk([&](AffineLoadOp loadOp) { forwardStoreToLoad(loadOp); });

  // Erase all load op's whose results were replaced with store fwd'ed ones.
  for (auto *loadOp : loadOpsToErase) {
    loadOp->erase();
  }

  // Check if the store fwd'ed memrefs are now left with only stores and can
  // thus be completely deleted. Note: the canononicalize pass should be able
  // to do this as well, but we'll do it here since we collected these anyway.
  for (auto *memref : memrefsToErase) {
    // If the memref hasn't been alloc'ed in this function, skip.
    Operation *defInst = memref->getDefiningOp();
    if (!defInst || !isa<AllocOp>(defInst))
      // TODO(mlir-team): if the memref was returned by a 'call' operation, we
      // could still erase it if the call had no side-effects.
      continue;
    if (llvm::any_of(memref->getUsers(), [&](Operation *ownerInst) {
          return (!isa<AffineStoreOp>(ownerInst) && !isa<DeallocOp>(ownerInst));
        }))
      continue;

    // Erase all stores, the dealloc, and the alloc on the memref.
    for (auto *user : llvm::make_early_inc_range(memref->getUsers()))
      user->erase();
    defInst->erase();
  }
}

static PassRegistration<MemRefDataFlowOpt>
    pass("memref-dataflow-opt", "Perform store/load forwarding for memrefs");