mirror of https://github.com/llvm/torch-mlir
79 lines
3.2 KiB
C++
79 lines
3.2 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/ATenToTCF/Patterns.h"
|
|
|
|
#include "mlir/IR/MLIRContext.h"
|
|
#include "mlir/IR/Matchers.h"
|
|
#include "mlir/IR/PatternMatch.h"
|
|
#include "npcomp/Dialect/ATen/IR/ATenDialect.h"
|
|
#include "npcomp/Dialect/TCF/IR/TCFOps.h"
|
|
|
|
using namespace mlir;
|
|
using namespace mlir::NPCOMP;
|
|
|
|
namespace {
|
|
|
|
/// The ATen AddOp actually has three arguments:
|
|
/// self, other, alpha
|
|
/// Alpha is an integer that is multiplied by 'other' prior to adding.
|
|
class ConvertATenAdd : public OpRewritePattern<aten::AddOp> {
|
|
using OpRewritePattern::OpRewritePattern;
|
|
LogicalResult matchAndRewrite(aten::AddOp srcAddOp,
|
|
PatternRewriter &rewriter) const override {
|
|
// Special case: Match when alpha is constant 1, which is the default,
|
|
// quite common and maps directly to a TCF add. Note that regardless of
|
|
// the type of self/other (i.e. if they are float), alpha emits as an
|
|
// integer with value 1 when defaulted. It is this specific case that we
|
|
// are detecting (default value) and will leave all others to the fully
|
|
// generic conversion.
|
|
APInt alphaValue;
|
|
if (matchPattern(srcAddOp.alpha(), m_ConstantInt(&alphaValue)) &&
|
|
alphaValue.getZExtValue() == 1) {
|
|
rewriter.replaceOpWithNewOp<tcf::AddOp>(
|
|
srcAddOp, srcAddOp.getResult().getType(), srcAddOp.self(),
|
|
srcAddOp.other());
|
|
return success();
|
|
}
|
|
|
|
return rewriter.notifyMatchFailure(
|
|
srcAddOp, "aten.add to tcf.add currently only supports alpha == 1");
|
|
}
|
|
};
|
|
|
|
/// Common conversion template for true binary elementwise ops.
|
|
/// This does not apply to the handful of not-actually-binary PyTorch ops that
|
|
/// have broadcastable self/other operands but may have additional parameters.
|
|
template <typename SourceOp, typename TargetOp>
|
|
class ConvertBinaryElementwise : public OpRewritePattern<SourceOp> {
|
|
public:
|
|
using OpRewritePattern<SourceOp>::OpRewritePattern;
|
|
LogicalResult matchAndRewrite(SourceOp srcOp,
|
|
PatternRewriter &rewriter) const override {
|
|
auto operands = srcOp.getOperation()->getOperands();
|
|
auto results = srcOp.getOperation()->getResults();
|
|
assert(operands.size() == 2 && "expected true binary op");
|
|
assert(results.size() == 1 && "expected single result op");
|
|
Type resultType = results[0].getType();
|
|
rewriter.replaceOpWithNewOp<TargetOp>(
|
|
srcOp, resultType, srcOp.getOperand(0), srcOp.getOperand(1));
|
|
return success();
|
|
}
|
|
};
|
|
|
|
} // namespace
|
|
|
|
void mlir::NPCOMP::populateCoreATenToTCFPatterns(
|
|
MLIRContext *context, OwningRewritePatternList &patterns) {
|
|
patterns.insert<ConvertATenAdd>(context);
|
|
patterns.insert<ConvertBinaryElementwise<aten::MulOp, tcf::MulOp>>(context);
|
|
patterns.insert<ConvertBinaryElementwise<aten::MaximumOp, tcf::MaxOp>>(
|
|
context);
|
|
patterns.insert<ConvertBinaryElementwise<aten::MmOp, tcf::MatmulOp>>(context);
|
|
}
|