48f88651a0
cc @tobiasgrosser @wsmoses this PR adds some new ops and types to the MLIR MPI dialect. the goal is to get the minimum required ops here to get a project of us working, and if everything works well, continue adding ops to the mpi dialect on subsequent PRs until we achieve some level of compliance with the MPI standard. --- Things left to do in subsequent PRs: - Add back the `mpi.comm` type and add as optional argument of current implemented ops that should support it (i.e. `send`, `recv`, `isend`, `irecv`, `allreduce`, `barrier`). - Support defining custom `MPI_Op`s (the MPI operations, not the tablegen `MPI_Op`) as regions. - Add more ops.
72 lines
2.4 KiB
C++
72 lines
2.4 KiB
C++
//===- MPIOps.cpp - MPI dialect ops implementation ------------------------===//
|
|
//
|
|
// 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/MPI/IR/MPI.h"
|
|
#include "mlir/Dialect/MemRef/IR/MemRef.h"
|
|
#include "mlir/IR/Builders.h"
|
|
#include "mlir/IR/BuiltinAttributes.h"
|
|
#include "mlir/IR/PatternMatch.h"
|
|
|
|
using namespace mlir;
|
|
using namespace mlir::mpi;
|
|
|
|
namespace {
|
|
|
|
// If input memref has dynamic shape and is a cast and if the cast's input has
|
|
// static shape, fold the cast's static input into the given operation.
|
|
template <typename OpT>
|
|
struct FoldCast final : public mlir::OpRewritePattern<OpT> {
|
|
using mlir::OpRewritePattern<OpT>::OpRewritePattern;
|
|
|
|
LogicalResult matchAndRewrite(OpT op,
|
|
mlir::PatternRewriter &b) const override {
|
|
auto mRef = op.getRef();
|
|
if (mRef.getType().hasStaticShape()) {
|
|
return mlir::failure();
|
|
}
|
|
auto defOp = mRef.getDefiningOp();
|
|
if (!defOp || !mlir::isa<mlir::memref::CastOp>(defOp)) {
|
|
return mlir::failure();
|
|
}
|
|
auto src = mlir::cast<mlir::memref::CastOp>(defOp).getSource();
|
|
if (!src.getType().hasStaticShape()) {
|
|
return mlir::failure();
|
|
}
|
|
op.getRefMutable().assign(src);
|
|
return mlir::success();
|
|
}
|
|
};
|
|
} // namespace
|
|
|
|
void mlir::mpi::SendOp::getCanonicalizationPatterns(
|
|
mlir::RewritePatternSet &results, mlir::MLIRContext *context) {
|
|
results.add<FoldCast<mlir::mpi::SendOp>>(context);
|
|
}
|
|
|
|
void mlir::mpi::RecvOp::getCanonicalizationPatterns(
|
|
mlir::RewritePatternSet &results, mlir::MLIRContext *context) {
|
|
results.add<FoldCast<mlir::mpi::RecvOp>>(context);
|
|
}
|
|
|
|
void mlir::mpi::ISendOp::getCanonicalizationPatterns(
|
|
mlir::RewritePatternSet &results, mlir::MLIRContext *context) {
|
|
results.add<FoldCast<mlir::mpi::ISendOp>>(context);
|
|
}
|
|
|
|
void mlir::mpi::IRecvOp::getCanonicalizationPatterns(
|
|
mlir::RewritePatternSet &results, mlir::MLIRContext *context) {
|
|
results.add<FoldCast<mlir::mpi::IRecvOp>>(context);
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// TableGen'd op method definitions
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
#define GET_OP_CLASSES
|
|
#include "mlir/Dialect/MPI/IR/MPIOps.cpp.inc"
|