mirror of https://github.com/llvm/torch-mlir
80 lines
3.0 KiB
C++
80 lines
3.0 KiB
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 "npcomp/Conversion/ATenToStd/ATenToStd.h"
|
|
|
|
#include "../PassDetail.h"
|
|
#include "mlir/Dialect/StandardOps/IR/Ops.h"
|
|
#include "mlir/Dialect/Traits.h"
|
|
#include "mlir/Transforms/GreedyPatternRewriteDriver.h"
|
|
#include "npcomp/Dialect/ATen/IR/ATenDialect.h"
|
|
#include "npcomp/Dialect/Basicpy/IR/BasicpyOps.h"
|
|
|
|
using namespace mlir;
|
|
using namespace mlir::NPCOMP;
|
|
|
|
// -----------------------------------------------------------------------------
|
|
// Patterns (as this grows, it should be organized into multiple files)
|
|
// -----------------------------------------------------------------------------
|
|
// This is going to eventually be O(#aten ops), which is in the 100s.
|
|
|
|
// Note: Confusingly, ATen's "dim" means "number of dimensions" which is what
|
|
// MLIR calls "rank".
|
|
LogicalResult convertDimOp(aten::DimOp op, PatternRewriter &rewriter) {
|
|
if (!op.getOperand().getType().isa<TensorType>())
|
|
return rewriter.notifyMatchFailure(op, "must be tensor only");
|
|
auto rank = rewriter.create<RankOp>(op->getLoc(), op.getOperand());
|
|
rewriter.replaceOpWithNewOp<IndexCastOp>(op, op.getType(), rank);
|
|
return success();
|
|
}
|
|
|
|
LogicalResult convertNeIntOp(aten::NeIntOp op, PatternRewriter &rewriter) {
|
|
auto i1 = rewriter.create<CmpIOp>(op->getLoc(), CmpIPredicate::ne,
|
|
op->getOperand(0), op->getOperand(1));
|
|
rewriter.replaceOpWithNewOp<Basicpy::BoolCastOp>(op, op.getType(), i1);
|
|
return success();
|
|
}
|
|
|
|
LogicalResult convertGtIntOp(aten::GtIntOp op, PatternRewriter &rewriter) {
|
|
auto i1 = rewriter.create<CmpIOp>(op->getLoc(), CmpIPredicate::sgt,
|
|
op->getOperand(0), op->getOperand(1));
|
|
rewriter.replaceOpWithNewOp<Basicpy::BoolCastOp>(op, op.getType(), i1);
|
|
return success();
|
|
}
|
|
|
|
// -----------------------------------------------------------------------------
|
|
// The pass
|
|
// -----------------------------------------------------------------------------
|
|
|
|
namespace {
|
|
class ConvertATenToStd : public ConvertATenToStdBase<ConvertATenToStd> {
|
|
public:
|
|
void getDependentDialects(DialectRegistry ®istry) const override {
|
|
registry.insert<StandardOpsDialect>();
|
|
}
|
|
|
|
void runOnOperation() override {
|
|
(void)applyPatternsAndFoldGreedily(getOperation(), getPatterns());
|
|
}
|
|
|
|
FrozenRewritePatternSet getPatterns() {
|
|
MLIRContext *context = &getContext();
|
|
RewritePatternSet patterns(context);
|
|
patterns.add(convertDimOp);
|
|
patterns.add(convertNeIntOp);
|
|
patterns.add(convertGtIntOp);
|
|
return std::move(patterns);
|
|
}
|
|
};
|
|
} // namespace
|
|
|
|
std::unique_ptr<OperationPass<FuncOp>>
|
|
mlir::NPCOMP::createConvertATenToStdPass() {
|
|
return std::make_unique<ConvertATenToStd>();
|
|
}
|