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//===- 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/Interfaces/ShardingInterfaceImpl.h"
#include "mlir/Dialect/Mesh/IR/MeshOps.h"
#include "mlir/IR/AffineMap.h"
#include "mlir/IR/IRMapping.h"
#include "mlir/Support/LLVM.h"
#include "llvm/ADT/ArrayRef.h"
#include "llvm/ADT/STLExtras.h"
#include "llvm/ADT/SmallSet.h"
#include "llvm/Support/Debug.h"
#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
//===----------------------------------------------------------------------===//
static LogicalResult
checkOperandAffineExprRecursively(AffineExpr expr,
SmallVectorImpl<bool> &seenIds) {
switch (expr.getKind()) {
case AffineExprKind::Add: {
auto binOpExpr = cast<AffineBinaryOpExpr>(expr);
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 = cast<AffineBinaryOpExpr>(expr);
AffineExpr lhs = binOpExpr.getLHS();
AffineExpr rhs = binOpExpr.getRHS();
AffineExpr dimExpr;
if (lhs.getKind() == AffineExprKind::DimId &&
rhs.getKind() == AffineExprKind::Constant) {
dimExpr = lhs;
} else if (rhs.getKind() == AffineExprKind::DimId &&
lhs.getKind() == AffineExprKind::Constant) {
dimExpr = rhs;
} else
return failure();
unsigned position = cast<AffineDimExpr>(dimExpr).getPosition();
if ((size_t)position >= seenIds.size() || seenIds[position])
return failure();
seenIds[position] = true;
return success();
}
case AffineExprKind::DimId: {
unsigned position = cast<AffineDimExpr>(expr).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;
}
//===----------------------------------------------------------------------===//
// mesh::getMeshShardingAttr
//===----------------------------------------------------------------------===//
FailureOr<std::pair<bool, MeshShardingAttr>>
mesh::getMeshShardingAttr(OpResult result) {
Value val = cast<Value>(result);
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 std::make_pair(false, shardOp.getShard());
}
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 std::make_pair(true, shardForDef);
}
return failure();
}
FailureOr<std::pair<bool, MeshShardingAttr>>
mesh::getMeshShardingAttr(OpOperand &opOperand) {
Value val = opOperand.get();
if (ShardOp shardOp = val.getDefiningOp<ShardOp>())
return std::make_pair(shardOp.getAnnotateForUsers(), shardOp.getShard());
return failure();
}
//===----------------------------------------------------------------------===//
// 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<utils::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 = dyn_cast<RankedTensorType>(result.getType());
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 (utils::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,
FlatSymbolRefAttr mesh,
ArrayRef<MeshAxis> meshAxes,
unsigned loopIdx) {
if ((shardingOption.mesh && mesh && shardingOption.mesh != mesh) ||
(!shardingOption.shardingArray[loopIdx].empty() &&
shardingOption.shardingArray[loopIdx] != meshAxes)) {
LLVM_DEBUG(DBGS() << "sharding option conflicts on loop iterator "
<< loopIdx << "\n");
return failure();
}
for (size_t i = 0; i < shardingOption.shardingArray.size(); ++i) {
if (i == loopIdx)
continue;
for (MeshAxis axis : meshAxes) {
if (llvm::is_contained(shardingOption.shardingArray[i], axis)) {
LLVM_DEBUG(DBGS() << "sharding option conflicts because mesh axes "
<< axis << " duplicate");
return failure();
}
}
}
if (mesh)
shardingOption.mesh = mesh;
if (shardingOption.shardingArray[loopIdx].empty())
shardingOption.shardingArray[loopIdx].append(meshAxes.begin(),
meshAxes.end());
return success();
}
} // namespace
FailureOr<ShardingOption> mesh::detail::defaultGetShardingOption(
Operation *op, ArrayRef<MeshShardingAttr> operandShardings,
ArrayRef<MeshShardingAttr> resultShardings) {
ShardingInterface shardingOp = llvm::cast<ShardingInterface>(op);
ShardingOption shardingOption;
if (failed(shardingOp.verifyShardingInterfaceImpl()))
return op->emitOpError() << "invalid sharding interface implementation";
SmallVector<utils::IteratorType> loopTypes =
shardingOp.getLoopIteratorTypes();
SmallVector<AffineMap> maps = shardingOp.getIndexingMaps();
unsigned numOperands = op->getNumOperands();
shardingOption.shardingArray.resize(loopTypes.size());
llvm::SmallVector<MeshAxis> partialMeshAxes;
llvm::SmallSet<unsigned, 4> visitedLoopIndices;
bool anyShardingInResultsOrOperands = false;
// 1. Fill sharding option based on op results
for (auto shardingIt : llvm::enumerate(resultShardings)) {
MeshShardingAttr shardAttr = shardingIt.value();
if (!shardAttr)
continue;
AffineMap map = maps[numOperands + shardingIt.index()];
anyShardingInResultsOrOperands = true;
// Handle the split axes: calculate the corresponding loop index for each
// split axes sub-array, and then store the sub-array to
// shardingOption[index]
for (auto it : llvm::zip(map.getResults(), shardAttr.getSplitAxes())) {
AffineExpr expr = std::get<0>(it);
ArrayRef<MeshAxis> axes = std::get<1>(it).asArrayRef();
auto dim = cast<AffineDimExpr>(expr);
unsigned index = dim.getPosition();
visitedLoopIndices.insert(index);
if (failed(fillShardingOption(op, shardingOption, shardAttr.getMesh(),
axes, index)))
return failure();
}
// Handle the partial axes: at this stage, the exact loop index/indices
// cannot be decided because there could be multiple reduction loops.
ArrayRef<MeshAxis> partialAxes = shardAttr.getPartialAxes();
if (!partialAxes.empty()) {
if (!partialMeshAxes.empty())
return op->emitOpError() << "at most one result with partial axes is "
"supported at present";
partialMeshAxes.append(partialAxes.begin(), partialAxes.end());
// Add all the reduction loop indices to `visitedLoopIndices` if
// `partialAxes` is not empty
for (size_t loopIdx = 0; loopIdx < loopTypes.size(); ++loopIdx) {
if (isReductionLoop(loopTypes[loopIdx]))
visitedLoopIndices.insert(loopIdx);
}
}
}
// 2. Fill sharding option based on operands
for (auto shardingIt : llvm::enumerate(operandShardings)) {
MeshShardingAttr shardAttr = shardingIt.value();
if (!shardAttr)
continue;
anyShardingInResultsOrOperands = true;
AffineMap map = maps[shardingIt.index()];
unsigned numDims = map.getNumDims();
// Handle the split axes. Partial axes don't need to be handled because they
// only affect the defining op of the operand.
//
// TODO: Change to process the operands with single loop index first and
// then the operands with multiple loop indices.
for (auto it : llvm::zip(map.getResults(), shardAttr.getSplitAxes())) {
AffineExpr expr = std::get<0>(it);
ArrayRef<MeshAxis> axes = std::get<1>(it).asArrayRef();
FailureOr<llvm::SmallSet<unsigned, 2>> loopIndices =
checkOperandAffineExpr(expr, numDims);
if (failed(loopIndices))
return op->emitOpError()
<< "operand's affine expression is restricted to const_i * "
"dim_i + const_j + dim_j + ...";
if (loopIndices->empty())
continue;
if (loopIndices->size() == 1) {
unsigned loopIdx = *loopIndices->begin();
visitedLoopIndices.insert(loopIdx);
if (failed(fillShardingOption(op, shardingOption, shardAttr.getMesh(),
axes, loopIdx)))
return failure();
}
// If multiple loop indices correspond to a dimension of an operand, it is
// difficult to infer which loop indices are responsible for sharding.
// Therefore, the exact loop index must be specified by others.
if (loopIndices->size() > 1) {
bool seenLoopIndices = false;
for (unsigned loopIdx : *loopIndices) {
if (visitedLoopIndices.contains(loopIdx)) {
seenLoopIndices = true;
break;
}
}
if (!seenLoopIndices)
return op->emitOpError()
<< "the operand " << shardingIt.index()
<< " has multiple loop indices in a dimension, but none of "
"them could be found in the exactly specified annotation "
"of op results or operands.";
}
}
}
// 3. Finalize sharding option
if (!partialMeshAxes.empty()) {
bool anyNonEmptyReductionLoop = llvm::any_of(
llvm::enumerate(shardingOption.shardingArray), [&](auto it) {
SmallVector<MeshAxis> &subArray = it.value();
int64_t idx = it.index();
return isReductionLoop(loopTypes[idx]) && !subArray.empty();
});
if (!anyNonEmptyReductionLoop) {
bool filled = false;
for (size_t idx = 0; idx < loopTypes.size(); ++idx) {
if (isReductionLoop(loopTypes[idx])) {
std::ignore = fillShardingOption(op, shardingOption, nullptr,
partialMeshAxes, idx);
filled = true;
break;
}
}
if (!filled)
return op->emitOpError() << "no matched reduction loop found for the "
"result's partial type";
}
}
removeTrailingEmptySubArray(shardingOption.shardingArray);
if (!anyShardingInResultsOrOperands)
shardingOption.empty = true;
return shardingOption;
}
//===----------------------------------------------------------------------===//
// detail::defaultAddShardingAnnotations
//===----------------------------------------------------------------------===//
// To add a `mesh.shard` op for the given result, based on the details provided
// in `shardingOption`, `map`, and `loopTypes`.
static LogicalResult addShardOp(OpBuilder &b, OpResult result,
const ShardingOption &shardingOption,
AffineMap map,
ArrayRef<utils::IteratorType> loopTypes,
ArrayRef<ReductionKind> reductionLoopKinds) {
FailureOr<std::pair<bool, MeshShardingAttr>> maybeSharding =
getMeshShardingAttr(result);
if (succeeded(maybeSharding) && !maybeSharding->first)
return success();
auto resultType = cast<RankedTensorType>(result.getType());
SmallVector<SmallVector<MeshAxis>> splitAxes(resultType.getRank());
SmallVector<MeshAxis> partialAxes;
// process the split axes
for (auto it : llvm::enumerate(map.getResults())) {
AffineExpr expr = it.value();
// `expr` must be an `AffineDimExpr` because `map` is verified by
// isProjectedPermutation
auto dim = cast<AffineDimExpr>(expr);
unsigned loopIdx = dim.getPosition();
if (loopIdx < shardingOption.shardingArray.size())
splitAxes[it.index()].append(shardingOption.shardingArray[loopIdx]);
}
// process the partial axes
// partialType will be ignored if partialAxes is empty
ReductionKind partialType = ReductionKind::Sum;
size_t reductionLoopKindsIdx = 0;
for (auto it : llvm::zip(loopTypes, shardingOption.shardingArray)) {
utils::IteratorType iType = std::get<0>(it);
if (isReductionLoop(iType)) {
ReductionKind curPartialType = reductionLoopKinds[reductionLoopKindsIdx];
++reductionLoopKindsIdx;
if (!partialAxes.empty())
assert(partialType == curPartialType &&
"Only one reduction type is supported");
partialType = curPartialType;
const SmallVector<MeshAxis> &axis = std::get<1>(it);
partialAxes.append(axis);
}
}
removeTrailingEmptySubArray(splitAxes);
MeshShardingAttr shardAttr = MeshShardingAttr::get(
b.getContext(), shardingOption.mesh, splitAxes, partialAxes, partialType);
OpBuilder::InsertionGuard guard(b);
b.setInsertionPointAfterValue(result);
auto shardOp = b.create<ShardOp>(result.getLoc(), resultType, result,
shardAttr, /*annotate_for_users*/ false);
result.replaceAllUsesExcept(shardOp, shardOp);
return success();
}
// To add a `mesh.shard` op for the given operand, based on the details provided
// in `shardingOption`, `map`, and `loopTypes`.
static LogicalResult addShardOp(OpBuilder &b, OpOperand &opOperand,
const ShardingOption &shardingOption,
AffineMap map) {
auto maybeShardingAttr = getMeshShardingAttr(opOperand);
if (succeeded(maybeShardingAttr) && maybeShardingAttr->first)
return success();
Value operand = opOperand.get();
auto operandType = cast<RankedTensorType>(operand.getType());
SmallVector<SmallVector<MeshAxis>> splitAxes(operandType.getRank());
unsigned numDims = map.getNumDims();
for (auto it : llvm::enumerate(map.getResults())) {
int64_t idx = it.index();
AffineExpr expr = it.value();
FailureOr<llvm::SmallSet<unsigned, 2>> loopIndices =
checkOperandAffineExpr(expr, numDims);
if (failed(loopIndices))
return failure();
SmallVector<unsigned> shardedLoopIndices;
for (unsigned loopIdx : *loopIndices) {
if ((size_t)loopIdx < shardingOption.shardingArray.size() &&
!shardingOption.shardingArray[loopIdx].empty())
shardedLoopIndices.push_back(loopIdx);
}
// mostly one sharded loop index is accepted
if (shardedLoopIndices.size() > 1)
return failure();
if (shardedLoopIndices.size() == 1) {
splitAxes[idx].append(
shardingOption.shardingArray[shardedLoopIndices[0]]);
}
}
removeTrailingEmptySubArray(splitAxes);
MeshShardingAttr shardAttr =
MeshShardingAttr::get(b.getContext(), shardingOption.mesh, splitAxes);
OpBuilder::InsertionGuard guard(b);
b.setInsertionPoint(opOperand.getOwner());
auto shardOp = b.create<ShardOp>(operand.getLoc(), operandType, operand,
shardAttr, true);
opOperand.set(shardOp);
return success();
}
LogicalResult mesh::detail::defaultAddShardingAnnotations(
Operation *op, OpBuilder &b, const ShardingOption &shardingOption) {
ShardingInterface shardingOp = llvm::cast<ShardingInterface>(op);
SmallVector<utils::IteratorType> loopTypes =
shardingOp.getLoopIteratorTypes();
SmallVector<ReductionKind> reductionKinds =
shardingOp.getReductionLoopIteratorKinds();
SmallVector<AffineMap> maps = shardingOp.getIndexingMaps();
unsigned numOperands = op->getNumOperands();
// 1. add mesh.shard ops for all op results
for (OpResult result : op->getResults()) {
if (failed(addShardOp(b, result, shardingOption,
maps[numOperands + result.getResultNumber()],
loopTypes, reductionKinds)))
return failure();
}
// 2. add mesh.shard ops for all operands
for (OpOperand &opOperand : op->getOpOperands()) {
if (failed(addShardOp(b, opOperand, shardingOption,
maps[opOperand.getOperandNumber()])))
return failure();
}
return success();
}
#ifndef NDEBUG
static bool
isValueCompatibleWithFullReplicationSharding(Value value,
MeshShardingAttr sharding) {
if (isa<RankedTensorType>(value.getType())) {
return sharding && isFullReplication(sharding);
}
return !sharding;
}
template <typename ValueRange, typename MeshShardingAttrRage>
static bool areValuesCompatibleWithFullReplicationShardings(
ValueRange &&values, MeshShardingAttrRage &&shardings) {
if (std::size(values) != std::size(shardings)) {
return false;
}
return llvm::all_of(llvm::zip_equal(
std::forward<ValueRange>(values),
std::forward<MeshShardingAttrRage>(shardings)),
[](auto valueAndSharding) {
return isValueCompatibleWithFullReplicationSharding(
std::get<0>(valueAndSharding),
std::get<1>(valueAndSharding));
});
}
#endif // NDEBUG
void mesh::spmdizeFullyReplicatedOperation(
Operation &op, ArrayRef<Value> spmdizedOperands,
ArrayRef<MeshShardingAttr> operandShardings,
ArrayRef<MeshShardingAttr> resultShardings, IRMapping &spmdizationMap,
SymbolTableCollection &symbolTable, OpBuilder &builder) {
assert(spmdizedOperands.size() == operandShardings.size());
assert(areValuesCompatibleWithFullReplicationShardings(op.getOperands(),
operandShardings));
assert(areValuesCompatibleWithFullReplicationShardings(op.getResults(),
resultShardings));
// `clone` will populate the mapping of old to new results.
builder.clone(op, spmdizationMap);
}
static void updateMeshAxisAssignmentForLoopIterators(
ArrayRef<MeshAxis> meshAxesAssignmentForTensorAxis, AffineExpr indexingExpr,
SmallVector<std::optional<SmallVector<MeshAxis>>>
&meshAxesAssignmentForLoopIterators) {
AffineDimExpr affineDimExpr = cast<AffineDimExpr>(indexingExpr);
unsigned loopIteratorIdx = affineDimExpr.getPosition();
if (meshAxesAssignmentForLoopIterators[loopIteratorIdx]) {
assert(llvm::equal(meshAxesAssignmentForTensorAxis,
*meshAxesAssignmentForLoopIterators[loopIteratorIdx]));
} else {
meshAxesAssignmentForLoopIterators[loopIteratorIdx] =
llvm::to_vector(meshAxesAssignmentForTensorAxis);
}
}
ShardingArray mesh::getMeshAxisAssignmentForLoopIterators(
ArrayRef<MeshShardingAttr> operandShardings,
ArrayRef<MeshShardingAttr> resultShardings,
ArrayRef<utils::IteratorType> loopIteratorTypes,
ArrayRef<AffineMap> indexingMaps) {
SmallVector<std::optional<SmallVector<MeshAxis>>>
meshAxisAssignmentForLoopIterators(loopIteratorTypes.size());
SmallVector<MeshShardingAttr> operatorAndResultShardings;
operatorAndResultShardings.reserve(operandShardings.size() +
resultShardings.size());
llvm::append_range(operatorAndResultShardings, operandShardings);
for (auto [sharding, affineMap] :
llvm::zip_equal(operatorAndResultShardings, indexingMaps)) {
if (!sharding) {
continue;
}
for (auto [meshAxesAssignmentForTensorAxis, indexingExpr] :
llvm::zip(sharding.getSplitAxes(), affineMap.getResults())) {
updateMeshAxisAssignmentForLoopIterators(
meshAxesAssignmentForTensorAxis.asArrayRef(), indexingExpr,
meshAxisAssignmentForLoopIterators);
}
// Missing trailing split axes means replication on those tensor dimensions.
for (unsigned i = sharding.getSplitAxes().size();
i < affineMap.getNumResults(); ++i) {
updateMeshAxisAssignmentForLoopIterators(
{}, affineMap.getResults()[i], meshAxisAssignmentForLoopIterators);
}
}
ShardingArray res;
llvm::transform(meshAxisAssignmentForLoopIterators, std::back_inserter(res),
[](std::optional<SmallVector<MeshAxis>> &axes) {
if (!axes) {
return SmallVector<MeshAxis>();
};
return std::move(*axes);
});
return res;
}
bool mesh::isAtLeastOneReductionIteratorSharded(
ArrayRef<utils::IteratorType> loopIteratorTypes,
ArrayRef<SmallVector<MeshAxis>> meshAxisAssignmentForLoopIterators) {
for (auto [loopIteratorType, meshAxisAssignment] :
llvm::zip_equal(loopIteratorTypes, meshAxisAssignmentForLoopIterators)) {
if (loopIteratorType == utils::IteratorType::reduction &&
!meshAxisAssignment.empty()) {
return true;
}
}
return false;
}
SmallVector<MeshAxis> mesh::getReductionMeshAxes(
ArrayRef<utils::IteratorType> loopIteratorTypes,
ArrayRef<SmallVector<MeshAxis>> meshAxisAssignmentForLoopIterators) {
SmallVector<MeshAxis> meshAxes;
for (auto [loopIteratorType, meshAxisAssignment] :
llvm::zip_equal(loopIteratorTypes, meshAxisAssignmentForLoopIterators)) {
if (loopIteratorType == utils::IteratorType::reduction) {
llvm::append_range(meshAxes, meshAxisAssignment);
}
}
return meshAxes;
}
void mesh::spmdizeTriviallyShardableOperation(
Operation &op, ArrayRef<Value> spmdizedOperands,
ArrayRef<MeshShardingAttr> operandShardings,
ArrayRef<MeshShardingAttr> resultShardings, IRMapping &spmdizationMap,
SymbolTableCollection &symbolTable, OpBuilder &builder) {
// `clone` will populate the mapping of old to new results.
Operation *newOp = builder.clone(op, spmdizationMap);
// Set the result types to the sharded counterparts.
for (auto [oldResult, newResult, sharding] :
llvm::zip_equal(op.getResults(), newOp->getResults(), resultShardings)) {
newResult.setType(shardType(newResult.getType(),
getMesh(&op, sharding.getMesh(), symbolTable),
sharding));
}
}