d629645fcd
Extend OpDSL with a `defines` method that can set the `hasCanonicalizer` flag for an OpDSL operation. If the flag is set via `defines(Canonicalizer)` the operation needs to implement the `getCanonicalizationPatterns` method. The revision specifies the flag for linalg.fill_tensor and adds an empty `FillTensorOp::getCanonicalizationPatterns` implementation. This revision is a preparation step to replace linalg.fill by its OpDSL counterpart linalg.fill_tensor. The two are only functionally equivalent if both specify the same canonicalization patterns. The revision is thus a prerequisite for the linalg.fill replacement. Depends On D120725 Reviewed By: nicolasvasilache Differential Revision: https://reviews.llvm.org/D120726
21 lines
588 B
Python
21 lines
588 B
Python
# RUN: %PYTHON -m mlir.dialects.linalg.opdsl.dump_oplib --file %s | FileCheck %s
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from mlir.dialects.linalg.opdsl.lang import *
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# CHECK: ---
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# CHECK-LABEL: matmul
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# CHECK: implements:
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# CHECK-NEXT: - LinalgContractionOpInterface
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# CHECK: defines:
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# CHECK-NEXT: - hasCanonicalizer
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@linalg_structured_op
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def matmul(
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A=TensorDef(T, S.M, S.K),
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B=TensorDef(T, S.K, S.N),
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C=TensorDef(U, S.M, S.N, output=True)):
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implements(ContractionOpInterface)
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defines(Canonicalizer)
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C[D.m, D.n] += TypeFn.cast_signed(U, A[D.m, D.k]) * TypeFn.cast_signed(
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U, B[D.k, D.n])
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