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Unexpected invariant now it's clear (batched in the first tensor rank)
Validate Operations / validate-operations (push) Has been cancelled
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This commit is contained in:
ilgeco
2026-07-13 12:05:59 +02:00
parent fed6d343e5
commit 61e3ea9996
29 changed files with 2791 additions and 707 deletions
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src/PIM/Conversion/ONNXToSpatial/Common/ComputeRegionBuilder.hpp
+46
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@@ -346,6 +346,52 @@ inline void createParallelInsertSliceIntoBatchOutput(mlir::PatternRewriter& rewr
mlir::tensor::ParallelInsertSliceOp::create(rewriter, loc, source, dest, offsets, sizes, strides);
}
inline void publishGraphBatchPhysicalFragment(mlir::PatternRewriter& rewriter,
mlir::Location loc,
mlir::Value fragment,
mlir::Value output,
mlir::Value physicalSlot) {
auto fragmentType = mlir::cast<mlir::RankedTensorType>(fragment.getType());
mlir::SmallVector<mlir::OpFoldResult> offsets {physicalSlot};
mlir::SmallVector<mlir::OpFoldResult> sizes {rewriter.getIndexAttr(1)};
mlir::SmallVector<mlir::OpFoldResult> strides {rewriter.getIndexAttr(1)};
for (int64_t dim : fragmentType.getShape()) {
offsets.push_back(rewriter.getIndexAttr(0));
sizes.push_back(rewriter.getIndexAttr(dim));
strides.push_back(rewriter.getIndexAttr(1));
}
createParallelInsertSliceIntoBatchOutput(rewriter, loc, fragment, output, offsets, sizes, strides);
}
inline mlir::FailureOr<mlir::Value>
extractGraphBatchPhysicalFragment(mlir::PatternRewriter& rewriter,
mlir::Location loc,
mlir::Value physicalBatch,
mlir::OpFoldResult slot,
mlir::RankedTensorType fragmentType) {
if (fragmentType.getRank() == 0)
return mlir::failure();
auto physicalType = mlir::dyn_cast<mlir::RankedTensorType>(physicalBatch.getType());
if (!physicalType || physicalType.getRank() != fragmentType.getRank() + 1)
return mlir::failure();
mlir::SmallVector<int64_t> selectedShape {1};
llvm::append_range(selectedShape, fragmentType.getShape());
auto selectedType = mlir::RankedTensorType::get(selectedShape, fragmentType.getElementType(), fragmentType.getEncoding());
mlir::SmallVector<mlir::OpFoldResult> offsets {slot};
mlir::SmallVector<mlir::OpFoldResult> sizes {rewriter.getIndexAttr(1)};
mlir::SmallVector<mlir::OpFoldResult> strides {rewriter.getIndexAttr(1)};
for (int64_t dim : fragmentType.getShape()) {
offsets.push_back(rewriter.getIndexAttr(0));
sizes.push_back(rewriter.getIndexAttr(dim));
strides.push_back(rewriter.getIndexAttr(1));
}
mlir::Value selected = mlir::tensor::ExtractSliceOp::create(rewriter, loc, selectedType, physicalBatch, offsets, sizes, strides);
mlir::SmallVector<mlir::ReassociationIndices> reassociation {{0, 1}};
for (int64_t dim = 2; dim <= fragmentType.getRank(); ++dim)
reassociation.push_back({dim});
return mlir::tensor::CollapseShapeOp::create(rewriter, loc, fragmentType, selected, reassociation).getResult();
}
template <typename BodyFn>
mlir::Value materializeOrComputeUnary(mlir::Value input,
mlir::RankedTensorType resultType,