nnicolosi/Raptor
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

normalize affine arithmetic helpers
Validate Operations / validate-operations (push) Has been cancelled
Details

Browse Source
This commit is contained in:
NiccoloN
2026-05-30 16:37:28 +02:00
parent 7c3943bd06
commit ab63498f3f
14 changed files with 340 additions and 278 deletions
Download Patch File Download Diff File Expand all files Collapse all files
src/PIM/Conversion/ONNXToSpatial/Common/IndexingUtils.cpp
-47
View File
@@ -1,11 +1,6 @@
#include "mlir/Dialect/Arith/IR/Arith.h"
#include "llvm/ADT/APInt.h"
#include <algorithm>
#include "IndexingUtils.hpp"
#include "src/Accelerators/PIM/Common/IR/ConstantUtils.hpp"
using namespace mlir;
@@ -47,46 +42,4 @@ FailureOr<SmallVector<int64_t>> normalizeAxesChecked(std::optional<ArrayAttr> ax
return normalizedAxes;
}
Value createAffineApplyOrFoldedConstant(PatternRewriter& rewriter, Location loc, AffineExpr expr, ValueRange operands) {
AffineMap map = AffineMap::get(/*dimCount=*/operands.size(), /*symbolCount=*/0, expr);
Operation* anchorOp = rewriter.getInsertionBlock()->getParentOp();
return createAffineApplyOrFoldedConstant(rewriter, loc, map, operands, anchorOp);
}
Value multiplyIndexByConstant(PatternRewriter& rewriter, Operation* anchorOp, Value value, int64_t multiplier) {
if (multiplier == 0)
return getOrCreateIndexConstant(rewriter, anchorOp, 0);
if (multiplier == 1)
return value;
MLIRContext* context = rewriter.getContext();
AffineExpr d0 = getAffineDimExpr(0, context);
return createAffineApplyOrFoldedConstant(rewriter, anchorOp->getLoc(), d0 * multiplier, ValueRange {value});
}
Value modIndexByConstant(PatternRewriter& rewriter, Location loc, Value value, int64_t divisor) {
if (divisor == 1)
return getOrCreateIndexConstant(rewriter, rewriter.getInsertionBlock()->getParentOp(), 0);
MLIRContext* context = rewriter.getContext();
AffineExpr d0 = getAffineDimExpr(0, context);
return createAffineApplyOrFoldedConstant(rewriter, loc, d0 % divisor, ValueRange {value});
}
Value floorDivIndexByConstant(PatternRewriter& rewriter, Location loc, Value value, int64_t divisor) {
if (divisor == 1)
return value;
MLIRContext* context = rewriter.getContext();
AffineExpr d0 = getAffineDimExpr(0, context);
return createAffineApplyOrFoldedConstant(rewriter, loc, d0.floorDiv(divisor), ValueRange {value});
}
Value getOrMaterializeIndexValue(PatternRewriter& rewriter, OpFoldResult value) {
if (auto attr = dyn_cast<Attribute>(value))
return getOrCreateIndexConstant(
rewriter, rewriter.getInsertionBlock()->getParentOp(), cast<IntegerAttr>(attr).getInt());
return cast<Value>(value);
}
} // namespace onnx_mlir