3842d4b679
This corresponds with the previous work to make shape.broadcast nary. Additionally, simplify the ConvertShapeConstraints pass. It now doesn't lower an implicit shape.is_broadcastable. This is still the same in combination with shape-to-standard when the 2 passes are used in either order. Differential Revision: https://reviews.llvm.org/D96401
41 lines
1.3 KiB
TableGen
41 lines
1.3 KiB
TableGen
include "mlir/Dialect/Shape/IR/ShapeOps.td"
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include "mlir/Dialect/StandardOps/IR/Ops.td"
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include "mlir/Dialect/Tensor/IR/TensorOps.td"
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def AllInputShapesEq : Constraint<CPred< [{
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llvm::all_of($0, [&](mlir::Value val) {
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return $0[0] == val;
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})
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}]>>;
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def HasSingleElement : Constraint<CPred< [{
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$0.size() == 1
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}]>>;
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// Canonicalization patterns.
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def AssumingAllOneOp : Pat<(Shape_AssumingAllOp $args),
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(replaceWithValue $args),
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[(HasSingleElement $args)]>;
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def CstrBroadcastableEqOps : Pat<(Shape_CstrBroadcastableOp:$op $shapes),
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(Shape_ConstWitnessOp ConstBoolAttrTrue),
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[(AllInputShapesEq $shapes)]>;
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def CstrEqEqOps : Pat<(Shape_CstrEqOp:$op $shapes),
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(Shape_ConstWitnessOp ConstBoolAttrTrue),
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[(AllInputShapesEq $shapes)]>;
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def IndexToSizeToIndexCanonicalization : Pat<
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(Shape_SizeToIndexOp (Shape_IndexToSizeOp $arg)),
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(replaceWithValue $arg)>;
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def SizeToIndexToSizeCanonicalization : Pat<
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(Shape_IndexToSizeOp (Shape_SizeToIndexOp $arg)),
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(replaceWithValue $arg)>;
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// Fold tensor.cast(const_shape) to const_shape. This changes the type of
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// const_shape to the destination type of the cast.
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def TensorCastConstShape : Pat <
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(Tensor_CastOp (Shape_ConstShapeOp $arg)), (Shape_ConstShapeOp $arg)>;
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