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[MLIR][Linalg] Fix named structured ops yaml file #98865

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Merged
merged 1 commit into from
Jul 15, 2024
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[MLIR][Linalg] Fix named structured ops yaml file #98865

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2 changes: 1 addition & 1 deletion mlir/include/mlir/Dialect/Linalg/IR/LinalgNamedStructuredOps.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -516,7 +516,7 @@ structured_op: !LinalgStructuredOpConfig
--- !LinalgOpConfig
metadata: !LinalgOpMetadata
name: erf
cpp_class_name: erfOp
cpp_class_name: ErfOp
doc: |-
Applies erf(x) elementwise.

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1 change: 1 addition & 0 deletions mlir/python/mlir/dialects/linalg/opdsl/lang/comprehension.py
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Expand Up @@ -292,6 +292,7 @@ class UnaryFn:
ceil = UnaryFnType("ceil")
floor = UnaryFnType("floor")
negf = UnaryFnType("negf")
reciprocal = UnaryFnType("reciprocal")
round = UnaryFnType("round")
sqrt = UnaryFnType("sqrt")
rsqrt = UnaryFnType("rsqrt")
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12 changes: 12 additions & 0 deletions mlir/python/mlir/dialects/linalg/opdsl/ops/core_named_ops.py
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Expand Up @@ -108,6 +108,18 @@ def negf(
O[None] = UnaryFn.negf(I[None])


@linalg_structured_op(op_class_name="ReciprocalOp")
def reciprocal(
I=TensorDef(T1),
O=TensorDef(T1, output=True),
):
"""Applies reciprocal(x) elementwise.

No numeric casting is performed on the input operand.
"""
O[None] = UnaryFn.reciprocal(I[None])


@linalg_structured_op
def round(
I=TensorDef(T1),
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