[Mlir-commits] [mlir] [MLIR][Mesh] Add sharding propagation pass (PR #69665)

Chengji Yao llvmlistbot at llvm.org
Mon Oct 23 17:05:27 PDT 2023


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@@ -0,0 +1,529 @@
+//===- ShardingInterface.cpp -------------------------------------*- 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
+//
+//===----------------------------------------------------------------------===//
+
+#include "mlir/Dialect/Mesh/Interfaces/ShardingInterface.h"
+#include "mlir/Dialect/Mesh/IR/MeshOps.h"
+#include "mlir/Dialect/Utils/IndexingUtils.h"
+#include "mlir/IR/AffineMap.h"
+#include "mlir/Support/LLVM.h"
+#include "llvm/ADT/SmallSet.h"
+#include "llvm/Support/Debug.h"
+
+#include <algorithm>
+#include <utility>
+
+#define DEBUG_TYPE "sharding-interface"
+#define DBGS() (llvm::dbgs() << "[" DEBUG_TYPE << "]: ")
+
+using namespace mlir;
+using namespace mlir::mesh;
+
+#include "mlir/Dialect/Mesh/Interfaces/ShardingInterface.cpp.inc"
+
+//===----------------------------------------------------------------------===//
+// common util functions
+//===----------------------------------------------------------------------===//
+
+// This method aims to retrieve the mesh sharding attribute (MeshShardingAttr)
+// for a given operation result.
+static FailureOr<MeshShardingAttr>
+getMeshShardingAttr(OpResult result, bool useOperandSharding) {
+  Value val = result.cast<Value>();
+  bool anyShardedForDef = llvm::any_of(val.getUsers(), [](Operation *user) {
+    auto shardOp = llvm::dyn_cast<mesh::ShardOp>(user);
+    if (!shardOp)
+      return false;
+    return !shardOp.getAnnotateForUsers();
+  });
+
+  if (anyShardedForDef) {
+    // expected to have exact one use if it has a use of `mesh.shard` without
+    // unit attr annotate_for_users
+    if (!val.hasOneUse())
+      return failure();
+    auto shardOp = llvm::cast<mesh::ShardOp>(*val.getUsers().begin());
+    return shardOp.getShard();
+  } else if (useOperandSharding) {
+    bool anyShardedForUsers = llvm::any_of(val.getUsers(), [](Operation *user) {
+      auto shardOp = llvm::dyn_cast<mesh::ShardOp>(user);
+      if (!shardOp)
+        return false;
+      return shardOp.getAnnotateForUsers();
+    });
+    if (anyShardedForUsers) {
+      SmallVector<ShardOp> shardOps;
+      for (Operation *user : val.getUsers()) {
+        ShardOp shardOp = llvm::dyn_cast<ShardOp>(user);
+        if (shardOp)
+          shardOps.push_back(shardOp);
+      }
+      MeshShardingAttr shardForDef = shardOps[0].getShard();
+      for (size_t i = 1; i < shardOps.size(); ++i) {
+        // TODO: Deduce a reasonable mesh sharding attr for def when they are
+        // different
+        assert(shardOps[i].getShard() == shardForDef &&
+               "only support all shard ops have the same mesh sharding attr");
+      }
+      return shardForDef;
+    }
+  }
+
+  return failure();
+}
+
+// This method aims to retrieve the mesh sharding attribute (MeshShardingAttr)
+// for a given operation operand.
+static FailureOr<std::pair<bool, MeshShardingAttr>>
+getMeshShardingAttr(OpOperand &opOperand) {
+  Value val = opOperand.get();
+  if (ShardOp shardOp = val.getDefiningOp<ShardOp>())
+    return std::make_pair(shardOp.getAnnotateForUsers(), shardOp.getShard());
+
+  return failure();
+}
+
+static LogicalResult
+checkOperandAffineExprRecursively(AffineExpr expr,
+                                  SmallVectorImpl<bool> &seenIds) {
+  switch (expr.getKind()) {
+  case AffineExprKind::Add: {
+    auto binOpExpr = expr.cast<AffineBinaryOpExpr>();
+    AffineExpr lhs = binOpExpr.getLHS();
+    AffineExpr rhs = binOpExpr.getRHS();
+    if (failed(checkOperandAffineExprRecursively(lhs, seenIds)))
+      return failure();
+    if (failed(checkOperandAffineExprRecursively(rhs, seenIds)))
+      return failure();
+    return success();
+  }
+  case AffineExprKind::Mul: {
+    auto binOpExpr = expr.cast<AffineBinaryOpExpr>();
+    AffineExpr lhs = binOpExpr.getLHS();
+    AffineExpr rhs = binOpExpr.getRHS();
+    AffineExpr dimExpr;
+    if (lhs.getKind() == AffineExprKind::DimId) {
+      dimExpr = lhs;
+      if (rhs.getKind() != AffineExprKind::Constant)
+        return failure();
+    } else if (rhs.getKind() == AffineExprKind::DimId &&
+               lhs.getKind() == AffineExprKind::Constant) {
+      dimExpr = rhs;
+    } else
+      return failure();
+    unsigned position = dimExpr.cast<AffineDimExpr>().getPosition();
+    if ((size_t)position >= seenIds.size() || seenIds[position])
+      return failure();
+    seenIds[position] = true;
+    return success();
+  }
+  case AffineExprKind::DimId: {
+    unsigned position = expr.cast<AffineDimExpr>().getPosition();
+    if ((size_t)position >= seenIds.size() || seenIds[position])
+      return failure();
+    seenIds[position] = true;
+    return success();
+  }
+  default:
+    return failure();
+  }
+}
+
+static FailureOr<llvm::SmallSet<unsigned, 2>>
+checkOperandAffineExpr(AffineExpr expr, unsigned numDims) {
+  SmallVector<bool> seenIds(numDims, false);
+  if (failed(checkOperandAffineExprRecursively(expr, seenIds)))
+    return failure();
+
+  llvm::SmallSet<unsigned, 2> positions;
+  for (auto it : llvm::enumerate(seenIds)) {
+    if (it.value())
+      positions.insert((unsigned)it.index());
+  }
+  return positions;
+}
+
+//===----------------------------------------------------------------------===//
+// ShardingInterface::verifyShardingInterfaceImpl
+//===----------------------------------------------------------------------===//
+
+LogicalResult mesh::ShardingInterface::verifyShardingInterfaceImpl() {
+  Operation *op = getOperation();
+
+  // check operands and results type
+  for (Type type : op->getOperandTypes())
+    if (!llvm::isa<RankedTensorType>(type))
+      return failure();
+  for (Type type : op->getResultTypes())
+    if (!llvm::isa<RankedTensorType>(type))
+      return failure();
+
+  // check loop types
+  SmallVector<IteratorType> loopTypes = getLoopIteratorTypes();
+  if (loopTypes.size() == 0)
+    return failure();
+
+  // check maps
+  SmallVector<AffineMap> maps = getIndexingMaps();
+  if (maps.size() == 0)
+    return failure();
+  unsigned numOperands = op->getNumOperands();
+  unsigned numResults = op->getNumResults();
+  if (numOperands + numResults != maps.size())
+    return failure();
+
+  for (OpResult result : op->getResults()) {
+    auto resultType = result.getType().dyn_cast<RankedTensorType>();
+    if (!resultType)
+      return failure();
+    AffineMap map = maps[numOperands + result.getResultNumber()];
+    if (!map.isProjectedPermutation()) {
+      return failure();
+    }
+  }
+
+  return success();
+}
+
+//===----------------------------------------------------------------------===//
+// ShardingInterface::printLoopTypesAndIndexingMaps
+//===----------------------------------------------------------------------===//
+
+void mesh::ShardingInterface::printLoopTypesAndIndexingMaps(raw_ostream &os) {
+  os << "print loop types and indexing maps for: \n";
+  getOperation()->print(os);
+  os << "\n";
+  os << "loop types: [";
+  for (IteratorType type : getLoopIteratorTypes()) {
+    os << stringifyEnum(type) << " ";
+  }
+  os << "]\n";
+  os << "indexing maps: \n";
+  for (AffineMap map : getIndexingMaps())
+    os << map << "\n";
+  os << "\n";
+}
+
+//===----------------------------------------------------------------------===//
+// detail::defaultGetShardingOption
+//===----------------------------------------------------------------------===//
+
+namespace {
+
+// Update the given `shardingOption` according to `meshAxes` and `loopIdx`
+static LogicalResult
+fillShardingOption(Operation *op, ShardingOption &shardingOption,
+                   SymbolRefAttr cluster, ArrayRef<int32_t> meshAxes,
+                   unsigned loopIdx, bool ignoreIfConflicted = false) {
+  if ((shardingOption.cluster && cluster &&
+       shardingOption.cluster != cluster) ||
+      (!shardingOption.shardingArray[loopIdx].empty() &&
+       shardingOption.shardingArray[loopIdx] != meshAxes)) {
+    if (ignoreIfConflicted)
+      return success();
+    else
+      return op->emitOpError()
+             << "sharding option conflicts on loop iterator " << loopIdx;
+  }
+  for (size_t i = 0; i < shardingOption.shardingArray.size(); ++i) {
+    if (i == loopIdx)
+      continue;
+
+    for (int32_t axis : meshAxes) {
+      if (std::find(shardingOption.shardingArray[i].begin(),
+                    shardingOption.shardingArray[i].end(),
+                    axis) != shardingOption.shardingArray[i].end()) {
+        if (ignoreIfConflicted)
+          return success();
+        else
+          return op->emitOpError()
+                 << "sharding option conflicts because mesh axes " << axis
+                 << " duplicate";
+      }
+    }
+  }
+  if (cluster)
+    shardingOption.cluster = cluster;
+  if (shardingOption.shardingArray[loopIdx].empty())
+    shardingOption.shardingArray[loopIdx].append(meshAxes.begin(),
+                                                 meshAxes.end());
+  return success();
+}
+
+} // namespace
+
+FailureOr<ShardingOption>
+mesh::detail::defaultGetShardingOption(Operation *op) {
+  ShardingInterface shardingOp = llvm::cast<ShardingInterface>(op);
+  ShardingOption shardingOption;
+
+  if (failed(shardingOp.verifyShardingInterfaceImpl()))
+    return op->emitOpError() << "invalid sharding interface implementation";
+  SmallVector<IteratorType> loopTypes = shardingOp.getLoopIteratorTypes();
+  SmallVector<AffineMap> maps = shardingOp.getIndexingMaps();
+  unsigned numOperands = op->getNumOperands();
+  shardingOption.shardingArray.resize(loopTypes.size());
+  llvm::SmallVector<int32_t> partialMeshAxes;
+  Partial partialType;
+  llvm::SmallSet<unsigned, 4> visitedLoopIndices;
+  bool anyShardingInResultsOrOperands = false;
+
+  // 1. Fill sharding option based on op results
+  for (OpResult result : op->getResults()) {
+    AffineMap map = maps[numOperands + result.getResultNumber()];
+    FailureOr<MeshShardingAttr> shardAttr = getMeshShardingAttr(result, true);
----------------
yaochengji wrote:

Done.

https://github.com/llvm/llvm-project/pull/69665


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