fb582b6ace
Allows linalg structured operations to be handled during spmdization and sharding propagation. There is only support for projected permutation indexing maps.
966 lines
34 KiB
C++
966 lines
34 KiB
C++
//===- MeshOps.cpp - Mesh Dialect Operations ------------------------------===//
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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/Dialect/Mesh/IR/MeshOps.h"
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#include "mlir/Dialect/Arith/IR/Arith.h"
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#include "mlir/Dialect/Mesh/IR/MeshDialect.h"
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#include "mlir/Dialect/Utils/StaticValueUtils.h"
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#include "mlir/IR/Attributes.h"
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#include "mlir/IR/BuiltinAttributes.h"
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#include "mlir/IR/BuiltinTypeInterfaces.h"
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#include "mlir/IR/BuiltinTypes.h"
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#include "mlir/IR/Diagnostics.h"
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#include "mlir/IR/DialectImplementation.h"
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#include "mlir/IR/Location.h"
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#include "mlir/IR/PatternMatch.h"
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#include "mlir/IR/TypeUtilities.h"
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#include "mlir/Interfaces/ViewLikeInterface.h"
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#include "mlir/Support/LLVM.h"
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#include "mlir/Support/LogicalResult.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/ADT/SmallSet.h"
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#include "llvm/ADT/SmallVector.h"
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#include "llvm/ADT/TypeSwitch.h"
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#include <algorithm>
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#include <functional>
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#include <iterator>
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#include <numeric>
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#include <optional>
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#include <utility>
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#define DEBUG_TYPE "mesh-ops"
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#define DBGS() (llvm::dbgs() << "[" DEBUG_TYPE << "]: ")
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using namespace mlir;
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using namespace mlir::mesh;
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#include "mlir/Dialect/Mesh/IR/MeshDialect.cpp.inc"
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namespace {
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struct DimensionSize {
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static DimensionSize dynamic() { return DimensionSize(ShapedType::kDynamic); }
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DimensionSize(int64_t val) : val(val) {}
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int64_t value() const { return val; }
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operator int64_t() const { return val; }
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bool isDynamic() const { return ShapedType::isDynamic(val); }
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private:
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int64_t val;
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};
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} // namespace
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static DimensionSize operator/(DimensionSize lhs, DimensionSize rhs) {
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if (lhs.isDynamic() || rhs.isDynamic()) {
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return DimensionSize::dynamic();
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}
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return lhs.value() / rhs.value();
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}
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static DimensionSize operator*(DimensionSize lhs, DimensionSize rhs) {
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if (lhs.isDynamic() || rhs.isDynamic()) {
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return DimensionSize::dynamic();
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}
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return lhs.value() * rhs.value();
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}
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//===----------------------------------------------------------------------===//
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// Mesh dialect
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//===----------------------------------------------------------------------===//
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void MeshDialect::initialize() {
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addOperations<
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#define GET_OP_LIST
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#include "mlir/Dialect/Mesh/IR/MeshOps.cpp.inc"
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>();
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addAttributes<
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#define GET_ATTRDEF_LIST
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#include "mlir/Dialect/Mesh/IR/MeshAttributes.cpp.inc"
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>();
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}
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Operation *MeshDialect::materializeConstant(OpBuilder &builder, Attribute value,
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Type type, Location loc) {
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return arith::ConstantOp::materialize(builder, value, type, loc);
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}
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//===----------------------------------------------------------------------===//
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// Mesh utilities
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//===----------------------------------------------------------------------===//
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static FailureOr<MeshOp> getMeshAndVerify(Operation *op,
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FlatSymbolRefAttr meshSymbol,
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SymbolTableCollection &symbolTable) {
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mesh::MeshOp mesh = getMesh(op, meshSymbol, symbolTable);
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if (!mesh) {
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return op->emitError() << "Undefined required mesh symbol \""
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<< meshSymbol.getValue() << "\".";
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}
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return mesh;
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}
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template <typename It>
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bool isUnique(It begin, It end) {
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if (begin == end) {
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return true;
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}
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It next = std::next(begin);
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if (next == end) {
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return true;
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}
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for (; next != end; ++next, ++begin) {
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if (*begin == *next) {
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return false;
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}
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}
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return true;
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}
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static LogicalResult verifyMeshAxes(Location loc, ArrayRef<MeshAxis> axes,
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MeshOp mesh) {
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SmallVector<MeshAxis> sorted = llvm::to_vector(axes);
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llvm::sort(sorted);
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if (!isUnique(sorted.begin(), sorted.end())) {
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return emitError(loc) << "Mesh axes contains duplicate elements.";
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}
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MeshAxis rank = mesh.getRank();
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for (auto axis : axes) {
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if (axis >= rank || axis < 0) {
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return emitError(loc)
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<< "0-based mesh axis index " << axis
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<< " is out of bounds. The referenced mesh \"" << mesh.getSymName()
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<< "\" is of rank " << rank << ".";
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}
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}
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return success();
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}
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template <typename InShape, typename MeshShape, typename SplitAxes,
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typename OutShape>
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static void shardShape(const InShape &inShape, const MeshShape &meshShape,
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const SplitAxes &splitAxes, OutShape &outShape) {
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std::copy(llvm::adl_begin(inShape), llvm::adl_end(inShape),
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llvm::adl_begin(outShape));
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for (auto [tensorAxis, innerSplitAxes] : llvm::enumerate(splitAxes)) {
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outShape[tensorAxis] = shardDimension(
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inShape[tensorAxis],
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collectiveProcessGroupSize(innerSplitAxes.asArrayRef(), meshShape));
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}
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}
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ShapedType mesh::shardShapedType(ShapedType shape, MeshOp mesh,
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MeshShardingAttr sharding) {
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using Dim = std::decay_t<decltype(shape.getDimSize(0))>;
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SmallVector<Dim> resShapeArr(shape.getShape().size());
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shardShape(shape.getShape(), mesh.getShape(), sharding.getSplitAxes(),
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resShapeArr);
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return shape.clone(resShapeArr);
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}
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Type mesh::shardType(Type type, MeshOp mesh, MeshShardingAttr sharding) {
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RankedTensorType rankedTensorType = type.dyn_cast<RankedTensorType>();
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if (rankedTensorType) {
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return shardShapedType(rankedTensorType, mesh, sharding);
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}
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assert(!sharding);
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return type;
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}
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//===----------------------------------------------------------------------===//
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// mesh.mesh op
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//===----------------------------------------------------------------------===//
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LogicalResult MeshOp::verify() {
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int64_t rank = getRank();
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if (rank <= 0)
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return emitOpError("rank of mesh is expected to be a positive integer");
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for (int64_t dimSize : getShape()) {
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if (dimSize < 0 && !ShapedType::isDynamic(dimSize))
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return emitOpError("dimension size of a mesh is expected to be "
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"non-negative or dynamic");
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}
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return success();
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}
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//===----------------------------------------------------------------------===//
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// mesh.mesh_shape op
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//===----------------------------------------------------------------------===//
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LogicalResult
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MeshShapeOp::verifySymbolUses(SymbolTableCollection &symbolTable) {
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auto mesh = ::getMeshAndVerify(getOperation(), getMeshAttr(), symbolTable);
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if (failed(mesh)) {
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return failure();
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}
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if (failed(verifyMeshAxes(getLoc(), getAxes(), mesh.value()))) {
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return failure();
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}
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size_t expectedResultsCount =
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getAxes().empty() ? mesh->getRank() : getAxes().size();
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if (getResult().size() != expectedResultsCount) {
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return emitError() << "Unexpected number of results " << getResult().size()
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<< ". Expected " << expectedResultsCount << ".";
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}
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return success();
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}
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void MeshShapeOp::build(OpBuilder &odsBuilder, OperationState &odsState,
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MeshOp mesh) {
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build(odsBuilder, odsState, mesh, SmallVector<MeshAxis>());
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}
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void MeshShapeOp::build(OpBuilder &odsBuilder, OperationState &odsState,
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MeshOp mesh, ArrayRef<MeshAxis> axes) {
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build(odsBuilder, odsState,
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SmallVector<Type>(axes.empty() ? mesh.getRank() : axes.size(),
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odsBuilder.getIndexType()),
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mesh.getSymName(), MeshAxesAttr::get(odsBuilder.getContext(), axes));
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}
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void MeshShapeOp::build(OpBuilder &odsBuilder, OperationState &odsState,
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StringRef mesh, ArrayRef<MeshAxis> axes) {
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assert(!axes.empty());
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build(odsBuilder, odsState,
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SmallVector<Type>(axes.size(), odsBuilder.getIndexType()), mesh,
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MeshAxesAttr::get(odsBuilder.getContext(), axes));
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}
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void MeshShapeOp::getAsmResultNames(
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function_ref<void(Value, StringRef)> setNameFn) {
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setNameFn(getResults()[0], "mesh_shape");
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}
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//===----------------------------------------------------------------------===//
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// mesh.shard attr
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//===----------------------------------------------------------------------===//
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LogicalResult
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MeshShardingAttr::verify(function_ref<InFlightDiagnostic()> emitError,
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FlatSymbolRefAttr, ArrayRef<MeshAxesAttr> splitAxes,
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ArrayRef<MeshAxis> partialAxes, ReductionKind) {
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// TODO: At present mesh symbol ref is not verified. This is due to the
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// difficulty in fetching the corresponding symbol op based on an attribute.
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llvm::SmallSet<MeshAxis, 4> visitedAxes;
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auto checkMeshAxis = [&](ArrayRef<MeshAxis> axesArray) -> LogicalResult {
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for (MeshAxis axis : axesArray) {
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if (axis < 0)
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return emitError() << "mesh axis is expected to be non-negative";
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if (!visitedAxes.insert(axis).second)
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return emitError() << "mesh axis duplicated";
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}
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return success();
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};
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for (MeshAxesAttr subAxes : splitAxes) {
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ArrayRef<MeshAxis> subAxesArray = subAxes.asArrayRef();
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if (failed(checkMeshAxis(subAxesArray)))
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return failure();
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}
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if (failed(checkMeshAxis(partialAxes)))
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return failure();
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return success();
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}
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bool MeshShardingAttr::operator==(Attribute rhs) const {
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MeshShardingAttr rhsAsMeshShardingAttr = rhs.dyn_cast<MeshShardingAttr>();
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return rhsAsMeshShardingAttr && *this == rhsAsMeshShardingAttr;
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}
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bool MeshShardingAttr::operator==(MeshShardingAttr rhs) const {
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if (getMesh() != rhs.getMesh() || getPartialAxes() != rhs.getPartialAxes()) {
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return false;
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}
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if (!getPartialAxes().empty() && getPartialType() != rhs.getPartialType()) {
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return false;
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}
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auto minSize = std::min(getSplitAxes().size(), rhs.getSplitAxes().size());
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if (!llvm::equal(llvm::make_range(getSplitAxes().begin(),
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getSplitAxes().begin() + minSize),
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llvm::make_range(rhs.getSplitAxes().begin(),
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rhs.getSplitAxes().begin() + minSize))) {
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return false;
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}
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return llvm::all_of(llvm::make_range(getSplitAxes().begin() + minSize,
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getSplitAxes().end()),
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std::mem_fn(&MeshAxesAttr::empty)) &&
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llvm::all_of(llvm::make_range(rhs.getSplitAxes().begin() + minSize,
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rhs.getSplitAxes().end()),
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std::mem_fn(&MeshAxesAttr::empty));
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}
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//===----------------------------------------------------------------------===//
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// mesh.shard op
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//===----------------------------------------------------------------------===//
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void ShardOp::getAsmResultNames(
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function_ref<void(Value, StringRef)> setNameFn) {
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setNameFn(getResult(), "sharding_annotated");
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}
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//===----------------------------------------------------------------------===//
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// mesh.process_multi_index op
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//===----------------------------------------------------------------------===//
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LogicalResult
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ProcessMultiIndexOp::verifySymbolUses(SymbolTableCollection &symbolTable) {
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auto mesh = ::getMeshAndVerify(getOperation(), getMeshAttr(), symbolTable);
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if (failed(mesh)) {
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return failure();
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}
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if (failed(verifyMeshAxes(getLoc(), getAxes(), mesh.value()))) {
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return failure();
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}
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size_t expectedResultsCount =
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getAxes().empty() ? mesh->getRank() : getAxes().size();
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if (getResult().size() != expectedResultsCount) {
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return emitError() << "Unexpected number of results " << getResult().size()
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<< ". Expected " << expectedResultsCount << ".";
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}
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return success();
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}
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void ProcessMultiIndexOp::build(OpBuilder &odsBuilder, OperationState &odsState,
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MeshOp mesh) {
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build(odsBuilder, odsState,
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SmallVector<Type>(mesh.getRank(), odsBuilder.getIndexType()),
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mesh.getSymName(), ArrayRef<MeshAxis>());
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}
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void ProcessMultiIndexOp::build(OpBuilder &odsBuilder, OperationState &odsState,
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StringRef mesh, ArrayRef<MeshAxis> axes) {
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build(odsBuilder, odsState,
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SmallVector<Type>(axes.size(), odsBuilder.getIndexType()), mesh,
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MeshAxesAttr::get(odsBuilder.getContext(), axes));
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}
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void ProcessMultiIndexOp::getAsmResultNames(
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function_ref<void(Value, StringRef)> setNameFn) {
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setNameFn(getResults()[0], "proc_linear_idx");
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}
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//===----------------------------------------------------------------------===//
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// mesh.process_linear_index op
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//===----------------------------------------------------------------------===//
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LogicalResult
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ProcessLinearIndexOp::verifySymbolUses(SymbolTableCollection &symbolTable) {
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auto mesh = ::getMeshAndVerify(getOperation(), getMeshAttr(), symbolTable);
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if (failed(mesh)) {
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return failure();
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}
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return success();
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}
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void ProcessLinearIndexOp::build(OpBuilder &odsBuilder,
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OperationState &odsState, MeshOp mesh) {
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build(odsBuilder, odsState, mesh.getSymName());
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}
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void ProcessLinearIndexOp::getAsmResultNames(
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function_ref<void(Value, StringRef)> setNameFn) {
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setNameFn(getResult(), "proc_linear_idx");
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}
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//===----------------------------------------------------------------------===//
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// collective communication ops
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//===----------------------------------------------------------------------===//
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namespace {
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template <typename Op>
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struct EmptyMeshAxesCanonicalizationPattern : OpRewritePattern<Op> {
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using OpRewritePattern<Op>::OpRewritePattern;
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LogicalResult matchAndRewrite(Op op,
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PatternRewriter &rewriter) const override {
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auto meshAxes = op.getMeshAxes();
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if (!meshAxes.empty()) {
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return failure();
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}
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if (op.getInput().getType() != op.getResult().getType()) {
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return failure();
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}
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rewriter.replaceAllUsesWith(op.getResult(), op.getInput());
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rewriter.eraseOp(op.getOperation());
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return success();
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}
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};
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} // namespace
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static LogicalResult verifyInGroupDevice(Location loc, StringRef deviceName,
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ArrayRef<int64_t> device,
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Operation::operand_range deviceDynamic,
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ArrayRef<MeshAxis> meshAxes,
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ArrayRef<int64_t> meshShape) {
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if (device.size() != meshAxes.size()) {
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return emitError(loc) << "In-group device \"" << deviceName
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<< "\" has unexpected multi-index size "
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<< device.size() << ". Expected " << meshAxes.size()
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<< ".";
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}
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for (size_t i = 0; i < device.size(); ++i) {
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if (!ShapedType::isDynamic(device[i]) &&
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!ShapedType::isDynamic(meshShape[meshAxes[i]]) &&
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meshShape[meshAxes[i]] <= device[i]) {
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return emitError(loc)
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<< "Out of bounds coordinate " << i << " for in-group device \""
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<< deviceName << "\"."
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<< " Got " << device[i] << ", but expected value in the range [0, "
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<< (meshShape[meshAxes[i]] - 1) << "].";
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}
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}
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return success();
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}
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template <typename Op>
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static FailureOr<MeshOp>
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getMeshAndVerifyAxes(Op op, SymbolTableCollection &symbolTable) {
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auto mesh =
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::getMeshAndVerify(op.getOperation(), op.getMeshAttr(), symbolTable);
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if (failed(mesh)) {
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return failure();
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}
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if (failed(verifyMeshAxes(op.getLoc(), op.getMeshAxes(), mesh.value()))) {
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return failure();
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}
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return mesh;
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}
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template <typename It>
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static auto product(It begin, It end) {
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using ElementType = std::decay_t<decltype(*begin)>;
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return std::accumulate(begin, end, static_cast<ElementType>(1),
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std::multiplies<ElementType>());
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}
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template <typename R>
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static auto product(R &&range) {
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return product(adl_begin(range), adl_end(range));
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}
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static LogicalResult verifyDimensionCompatibility(Location loc,
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int64_t expectedDimSize,
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int64_t resultDimSize,
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int64_t resultAxis) {
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if (!ShapedType::isDynamic(resultDimSize) &&
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expectedDimSize != resultDimSize) {
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return emitError(loc) << "Dimension size mismatch for result axis "
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<< resultAxis << ". Expected "
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<< (ShapedType::isDynamic(expectedDimSize)
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? Twine("dynamic")
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: Twine(expectedDimSize))
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<< ", but got " << resultDimSize << ".";
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}
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return success();
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}
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static LogicalResult verifyGatherOperandAndResultShape(
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Value operand, Value result, int64_t gatherAxis,
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ArrayRef<MeshAxis> meshAxes, ArrayRef<int64_t> meshShape) {
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auto resultRank = result.getType().template cast<ShapedType>().getRank();
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if (gatherAxis < 0 || gatherAxis >= resultRank) {
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return emitError(result.getLoc())
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<< "Gather axis " << gatherAxis << " is out of bounds [0, "
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<< resultRank << ").";
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}
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ShapedType operandType = operand.getType().cast<ShapedType>();
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ShapedType resultType = result.getType().cast<ShapedType>();
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auto deviceGroupSize =
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DimensionSize(collectiveProcessGroupSize(meshAxes, meshShape));
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for (int64_t axis = 0; axis < operandType.getRank(); ++axis) {
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auto operandDimSize = DimensionSize(operandType.getDimSize(axis));
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auto resultDimSize = DimensionSize(resultType.getDimSize(axis));
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auto expectedResultDimSize =
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axis == gatherAxis ? deviceGroupSize * operandDimSize : operandDimSize;
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if (failed(verifyDimensionCompatibility(
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result.getLoc(), expectedResultDimSize, resultDimSize, axis))) {
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return failure();
|
|
}
|
|
}
|
|
return success();
|
|
}
|
|
|
|
static LogicalResult verifyAllToAllOperandAndResultShape(
|
|
Value operand, Value result, int64_t splitAxis, int64_t concatAxis,
|
|
ArrayRef<MeshAxis> meshAxes, ArrayRef<int64_t> meshShape) {
|
|
ShapedType operandType = operand.getType().cast<ShapedType>();
|
|
ShapedType resultType = result.getType().cast<ShapedType>();
|
|
for (int64_t axis = 0; axis < operandType.getRank(); ++axis) {
|
|
if ((axis != splitAxis && axis != concatAxis) || splitAxis == concatAxis) {
|
|
if (failed(verifyDimensionCompatibility(
|
|
result.getLoc(), operandType.getDimSize(axis),
|
|
resultType.getDimSize(axis), axis))) {
|
|
return failure();
|
|
}
|
|
}
|
|
}
|
|
|
|
if (splitAxis == concatAxis) {
|
|
return success();
|
|
}
|
|
|
|
auto deviceGroupSize =
|
|
DimensionSize(collectiveProcessGroupSize(meshAxes, meshShape));
|
|
auto operandConcatDimSize = DimensionSize(operandType.getDimSize(concatAxis));
|
|
auto operandSplitDimSize = DimensionSize(operandType.getDimSize(splitAxis));
|
|
DimensionSize expectedResultConcatDimSize =
|
|
operandConcatDimSize * deviceGroupSize;
|
|
DimensionSize expectedResultSplitDimSize =
|
|
operandSplitDimSize / deviceGroupSize;
|
|
if (!expectedResultSplitDimSize.isDynamic() &&
|
|
int64_t(operandSplitDimSize) % int64_t(deviceGroupSize) != 0) {
|
|
expectedResultSplitDimSize = DimensionSize::dynamic();
|
|
}
|
|
if (failed(verifyDimensionCompatibility(
|
|
result.getLoc(), expectedResultConcatDimSize.value(),
|
|
resultType.getDimSize(concatAxis), concatAxis))) {
|
|
return failure();
|
|
}
|
|
if (failed(verifyDimensionCompatibility(
|
|
result.getLoc(), expectedResultSplitDimSize.value(),
|
|
resultType.getDimSize(splitAxis), splitAxis))) {
|
|
return failure();
|
|
}
|
|
|
|
return success();
|
|
}
|
|
|
|
static LogicalResult verifyScatterOrSliceOperandAndResultShape(
|
|
Value operand, Value result, int64_t tensorAxis,
|
|
ArrayRef<MeshAxis> meshAxes, ArrayRef<int64_t> meshShape) {
|
|
ShapedType operandType = operand.getType().cast<ShapedType>();
|
|
ShapedType resultType = result.getType().cast<ShapedType>();
|
|
for (int64_t axis = 0; axis < operandType.getRank(); ++axis) {
|
|
if (axis != tensorAxis) {
|
|
if (failed(verifyDimensionCompatibility(
|
|
result.getLoc(), operandType.getDimSize(axis),
|
|
resultType.getDimSize(axis), axis))) {
|
|
return failure();
|
|
}
|
|
}
|
|
}
|
|
|
|
auto deviceGroupSize =
|
|
DimensionSize(collectiveProcessGroupSize(meshAxes, meshShape));
|
|
auto operandScatterDimSize =
|
|
DimensionSize(operandType.getDimSize(tensorAxis));
|
|
if (!operandScatterDimSize.isDynamic() && !deviceGroupSize.isDynamic() &&
|
|
int64_t(operandScatterDimSize) % int64_t(deviceGroupSize) != 0) {
|
|
return emitError(result.getLoc())
|
|
<< "Operand dimension size " << int64_t(operandScatterDimSize)
|
|
<< " is not divisible by collective device group size "
|
|
<< int64_t(deviceGroupSize) << " for tensor axis " << tensorAxis
|
|
<< ".";
|
|
}
|
|
DimensionSize expectedResultTensorDimSize =
|
|
operandScatterDimSize / deviceGroupSize;
|
|
if (failed(verifyDimensionCompatibility(
|
|
result.getLoc(), expectedResultTensorDimSize.value(),
|
|
resultType.getDimSize(tensorAxis), tensorAxis))) {
|
|
return failure();
|
|
}
|
|
|
|
return success();
|
|
}
|
|
|
|
static RankedTensorType sliceResultType(Type operandType, MeshOp mesh,
|
|
ArrayRef<MeshAxis> meshAxes,
|
|
int64_t sliceAxis) {
|
|
RankedTensorType operandRankedTensorType =
|
|
cast<RankedTensorType>(operandType);
|
|
DimensionSize operandSliceAxisSize =
|
|
operandRankedTensorType.getShape()[sliceAxis];
|
|
SmallVector<int64_t> resultShape =
|
|
llvm::to_vector(operandRankedTensorType.getShape());
|
|
|
|
resultShape[sliceAxis] =
|
|
operandSliceAxisSize /
|
|
DimensionSize(collectiveProcessGroupSize(meshAxes, mesh));
|
|
return operandRankedTensorType.clone(resultShape);
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// mesh.all_gather op
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
LogicalResult
|
|
AllGatherOp::verifySymbolUses(SymbolTableCollection &symbolTable) {
|
|
auto mesh = getMeshAndVerifyAxes(*this, symbolTable);
|
|
if (failed(mesh)) {
|
|
return failure();
|
|
}
|
|
auto gatherAxis = getGatherAxis().getSExtValue();
|
|
return verifyGatherOperandAndResultShape(getOperand(), getResult(),
|
|
gatherAxis, getMeshAxes(),
|
|
mesh.value().getShape());
|
|
}
|
|
|
|
void AllGatherOp::getCanonicalizationPatterns(RewritePatternSet &patterns,
|
|
MLIRContext *context) {
|
|
patterns.add<EmptyMeshAxesCanonicalizationPattern<AllGatherOp>>(context);
|
|
}
|
|
|
|
void AllGatherOp::getAsmResultNames(
|
|
function_ref<void(Value, StringRef)> setNameFn) {
|
|
setNameFn(getResult(), "all_gather");
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// mesh.all_reduce op
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
LogicalResult
|
|
AllReduceOp::verifySymbolUses(SymbolTableCollection &symbolTable) {
|
|
return getMeshAndVerifyAxes(*this, symbolTable);
|
|
}
|
|
|
|
void AllReduceOp::getCanonicalizationPatterns(RewritePatternSet &patterns,
|
|
MLIRContext *context) {
|
|
patterns.add<EmptyMeshAxesCanonicalizationPattern<AllReduceOp>>(context);
|
|
}
|
|
|
|
void AllReduceOp::build(OpBuilder &odsBuilder, OperationState &odsState,
|
|
Value input, StringRef mesh,
|
|
ArrayRef<MeshAxis> meshAxes, ReductionKind reduction) {
|
|
build(odsBuilder, odsState, input.getType(), mesh, meshAxes, input,
|
|
reduction);
|
|
}
|
|
|
|
void AllReduceOp::getAsmResultNames(
|
|
function_ref<void(Value, StringRef)> setNameFn) {
|
|
setNameFn(getResult(), "all_reduce");
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// mesh.all_slice op
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
LogicalResult AllSliceOp::verifySymbolUses(SymbolTableCollection &symbolTable) {
|
|
auto mesh = getMeshAndVerifyAxes(*this, symbolTable);
|
|
if (failed(mesh)) {
|
|
return failure();
|
|
}
|
|
return verifyScatterOrSliceOperandAndResultShape(
|
|
getOperand(), getResult(), getSliceAxis().getSExtValue(), getMeshAxes(),
|
|
mesh.value().getShape());
|
|
}
|
|
|
|
void AllSliceOp::getCanonicalizationPatterns(RewritePatternSet &patterns,
|
|
MLIRContext *context) {
|
|
patterns.add<EmptyMeshAxesCanonicalizationPattern<AllSliceOp>>(context);
|
|
}
|
|
|
|
void AllSliceOp::build(OpBuilder &odsBuilder, OperationState &odsState,
|
|
Value input, MeshOp mesh, ArrayRef<MeshAxis> meshAxes,
|
|
int64_t sliceAxis) {
|
|
Type resultType = sliceResultType(input.getType(), mesh, meshAxes, sliceAxis);
|
|
build(odsBuilder, odsState, resultType, input, mesh.getSymName(), meshAxes,
|
|
sliceAxis);
|
|
}
|
|
|
|
void AllSliceOp::build(OpBuilder &odsBuilder, OperationState &odsState,
|
|
Type resultType, Value input, StringRef mesh,
|
|
ArrayRef<MeshAxis> meshAxes, int64_t sliceAxis) {
|
|
build(odsBuilder, odsState, resultType, mesh, meshAxes, input,
|
|
APInt(sizeof(sliceAxis) * CHAR_BIT, sliceAxis));
|
|
}
|
|
|
|
void AllSliceOp::getAsmResultNames(
|
|
function_ref<void(Value, StringRef)> setNameFn) {
|
|
setNameFn(getResult(), "all_slice");
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// mesh.all_to_all op
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
LogicalResult AllToAllOp::verifySymbolUses(SymbolTableCollection &symbolTable) {
|
|
auto mesh = getMeshAndVerifyAxes(*this, symbolTable);
|
|
if (failed(mesh)) {
|
|
return failure();
|
|
}
|
|
|
|
return verifyAllToAllOperandAndResultShape(
|
|
getOperand(), getResult(), getSplitAxis().getSExtValue(),
|
|
getConcatAxis().getSExtValue(), getMeshAxes(), mesh.value().getShape());
|
|
}
|
|
|
|
void AllToAllOp::getCanonicalizationPatterns(RewritePatternSet &patterns,
|
|
MLIRContext *context) {
|
|
patterns.add<EmptyMeshAxesCanonicalizationPattern<AllToAllOp>>(context);
|
|
}
|
|
|
|
void AllToAllOp::getAsmResultNames(
|
|
function_ref<void(Value, StringRef)> setNameFn) {
|
|
setNameFn(getResult(), "all_to_all");
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// mesh.broadcast op
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
LogicalResult
|
|
BroadcastOp::verifySymbolUses(SymbolTableCollection &symbolTable) {
|
|
auto mesh = getMeshAndVerifyAxes(*this, symbolTable);
|
|
if (failed(mesh)) {
|
|
return failure();
|
|
}
|
|
if (failed(verifyInGroupDevice(getLoc(), getRootAttrName(), getRoot(),
|
|
getRootDynamic(), getMeshAxes(),
|
|
mesh.value().getShape()))) {
|
|
return failure();
|
|
}
|
|
|
|
return success();
|
|
}
|
|
|
|
void BroadcastOp::getCanonicalizationPatterns(RewritePatternSet &patterns,
|
|
MLIRContext *context) {
|
|
patterns.add<EmptyMeshAxesCanonicalizationPattern<BroadcastOp>>(context);
|
|
}
|
|
|
|
void BroadcastOp::getAsmResultNames(
|
|
function_ref<void(Value, StringRef)> setNameFn) {
|
|
setNameFn(getResult(), "broadcast");
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// mesh.gather op
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
LogicalResult GatherOp::verifySymbolUses(SymbolTableCollection &symbolTable) {
|
|
auto mesh = getMeshAndVerifyAxes(*this, symbolTable);
|
|
if (failed(mesh)) {
|
|
return failure();
|
|
}
|
|
if (failed(verifyInGroupDevice(getLoc(), getRootAttrName(), getRoot(),
|
|
getRootDynamic(), getMeshAxes(),
|
|
mesh.value().getShape()))) {
|
|
return failure();
|
|
}
|
|
|
|
auto gatherAxis = getGatherAxis().getSExtValue();
|
|
return verifyGatherOperandAndResultShape(getInput(), getResult(), gatherAxis,
|
|
getMeshAxes(),
|
|
mesh.value().getShape());
|
|
}
|
|
|
|
void GatherOp::getCanonicalizationPatterns(RewritePatternSet &patterns,
|
|
MLIRContext *context) {
|
|
patterns.add<EmptyMeshAxesCanonicalizationPattern<GatherOp>>(context);
|
|
}
|
|
|
|
void GatherOp::getAsmResultNames(
|
|
function_ref<void(Value, StringRef)> setNameFn) {
|
|
setNameFn(getResult(), "gather");
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// mesh.recv op
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
LogicalResult RecvOp::verifySymbolUses(SymbolTableCollection &symbolTable) {
|
|
auto mesh = getMeshAndVerifyAxes(*this, symbolTable);
|
|
if (failed(mesh)) {
|
|
return failure();
|
|
}
|
|
if (getSource() &&
|
|
failed(verifyInGroupDevice(getLoc(), getSourceAttrName(),
|
|
getSource().value(), getSourceDynamic(),
|
|
getMeshAxes(), mesh.value().getShape()))) {
|
|
return failure();
|
|
}
|
|
return success();
|
|
}
|
|
|
|
void RecvOp::getCanonicalizationPatterns(RewritePatternSet &patterns,
|
|
MLIRContext *context) {
|
|
patterns.add<EmptyMeshAxesCanonicalizationPattern<RecvOp>>(context);
|
|
}
|
|
|
|
void RecvOp::getAsmResultNames(function_ref<void(Value, StringRef)> setNameFn) {
|
|
setNameFn(getResult(), "recv");
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// mesh.reduce op
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
LogicalResult ReduceOp::verifySymbolUses(SymbolTableCollection &symbolTable) {
|
|
auto mesh = getMeshAndVerifyAxes(*this, symbolTable);
|
|
if (failed(mesh)) {
|
|
return failure();
|
|
}
|
|
if (failed(verifyInGroupDevice(getLoc(), getRootAttrName(), getRoot(),
|
|
getRootDynamic(), getMeshAxes(),
|
|
mesh.value().getShape()))) {
|
|
return failure();
|
|
}
|
|
|
|
return success();
|
|
}
|
|
|
|
void ReduceOp::getCanonicalizationPatterns(RewritePatternSet &patterns,
|
|
MLIRContext *context) {
|
|
patterns.add<EmptyMeshAxesCanonicalizationPattern<ReduceOp>>(context);
|
|
}
|
|
|
|
void ReduceOp::getAsmResultNames(
|
|
function_ref<void(Value, StringRef)> setNameFn) {
|
|
setNameFn(getResult(), "reduce");
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// mesh.reduce_scatter op
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
LogicalResult
|
|
ReduceScatterOp::verifySymbolUses(SymbolTableCollection &symbolTable) {
|
|
auto mesh = getMeshAndVerifyAxes(*this, symbolTable);
|
|
if (failed(mesh)) {
|
|
return failure();
|
|
}
|
|
|
|
return verifyScatterOrSliceOperandAndResultShape(
|
|
getOperand(), getResult(), getScatterAxis().getSExtValue(), getMeshAxes(),
|
|
mesh.value().getShape());
|
|
}
|
|
|
|
void ReduceScatterOp::getCanonicalizationPatterns(RewritePatternSet &patterns,
|
|
MLIRContext *context) {
|
|
patterns.add<EmptyMeshAxesCanonicalizationPattern<ReduceScatterOp>>(context);
|
|
}
|
|
|
|
void ReduceScatterOp::getAsmResultNames(
|
|
function_ref<void(Value, StringRef)> setNameFn) {
|
|
setNameFn(getResult(), "reduce_scatter");
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// mesh.scatter op
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
LogicalResult ScatterOp::verifySymbolUses(SymbolTableCollection &symbolTable) {
|
|
auto mesh = getMeshAndVerifyAxes(*this, symbolTable);
|
|
if (failed(mesh)) {
|
|
return failure();
|
|
}
|
|
if (failed(verifyInGroupDevice(getLoc(), getRootAttrName(), getRoot(),
|
|
getRootDynamic(), getMeshAxes(),
|
|
mesh.value().getShape()))) {
|
|
return failure();
|
|
}
|
|
|
|
auto scatterAxis = getScatterAxis().getSExtValue();
|
|
return verifyScatterOrSliceOperandAndResultShape(getInput(), getResult(),
|
|
scatterAxis, getMeshAxes(),
|
|
mesh.value().getShape());
|
|
}
|
|
|
|
void ScatterOp::getCanonicalizationPatterns(RewritePatternSet &patterns,
|
|
MLIRContext *context) {
|
|
patterns.add<EmptyMeshAxesCanonicalizationPattern<ScatterOp>>(context);
|
|
}
|
|
|
|
void ScatterOp::getAsmResultNames(
|
|
function_ref<void(Value, StringRef)> setNameFn) {
|
|
setNameFn(getResult(), "scatter");
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// mesh.send op
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
LogicalResult SendOp::verifySymbolUses(SymbolTableCollection &symbolTable) {
|
|
auto mesh = getMeshAndVerifyAxes(*this, symbolTable);
|
|
if (failed(mesh)) {
|
|
return failure();
|
|
}
|
|
if (failed(verifyInGroupDevice(getLoc(), getDestinationAttrName(),
|
|
getDestination(), getDestinationDynamic(),
|
|
getMeshAxes(), mesh.value().getShape()))) {
|
|
return failure();
|
|
}
|
|
return success();
|
|
}
|
|
|
|
void SendOp::getCanonicalizationPatterns(RewritePatternSet &patterns,
|
|
MLIRContext *context) {
|
|
patterns.add<EmptyMeshAxesCanonicalizationPattern<SendOp>>(context);
|
|
}
|
|
|
|
void SendOp::getAsmResultNames(function_ref<void(Value, StringRef)> setNameFn) {
|
|
setNameFn(getResult(), "send");
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// mesh.shift op
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
LogicalResult ShiftOp::verifySymbolUses(SymbolTableCollection &symbolTable) {
|
|
auto mesh = getMeshAndVerifyAxes(*this, symbolTable);
|
|
if (failed(mesh)) {
|
|
return failure();
|
|
}
|
|
|
|
auto meshAxes = getMeshAxes();
|
|
auto shiftAxis = getShiftAxis().getZExtValue();
|
|
if (llvm::find(meshAxes, shiftAxis) == meshAxes.end()) {
|
|
return emitError() << "Invalid shift axis " << shiftAxis
|
|
<< ". It must be one of the grouping mesh axes.";
|
|
}
|
|
|
|
return success();
|
|
}
|
|
|
|
void ShiftOp::getCanonicalizationPatterns(RewritePatternSet &patterns,
|
|
MLIRContext *context) {
|
|
// TODO: remove op when offset is 0 or if it is a rotate with and
|
|
// offset % shift_axis_mesh_dim_size == 0.
|
|
}
|
|
|
|
void ShiftOp::getAsmResultNames(
|
|
function_ref<void(Value, StringRef)> setNameFn) {
|
|
setNameFn(getResult(), "shift");
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// TableGen'd op method definitions
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
#define GET_OP_CLASSES
|
|
#include "mlir/Dialect/Mesh/IR/MeshOps.cpp.inc"
|
|
|
|
#define GET_ATTRDEF_CLASSES
|
|
#include "mlir/Dialect/Mesh/IR/MeshAttributes.cpp.inc"
|
|
|
|
#include "mlir/Dialect/Mesh/IR/MeshEnums.cpp.inc"
|