[Mlir-commits] [mlir] [MLIR][Complex] Add complex ops support in OPDSL. (PR #162665)

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``````````bash
darker --check --diff -r origin/main...HEAD mlir/python/mlir/dialects/linalg/opdsl/lang/comprehension.py mlir/python/mlir/dialects/linalg/opdsl/lang/emitter.py mlir/test/python/dialects/linalg/opdsl/emit_misc.py
``````````

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``````````diff
--- test/python/dialects/linalg/opdsl/emit_misc.py	2025-10-08 13:55:12.000000 +0000
+++ test/python/dialects/linalg/opdsl/emit_misc.py	2025-10-09 14:27:21.126530 +0000
@@ -35,10 +35,11 @@
     O=TensorDef(U, output=True),
     fun=UnaryFnAttrDef(default=UnaryFn.exp),
     cast=TypeFnAttrDef(default=TypeFn.cast_signed),
 ):
     O[None] = fun(cast(U, I[None]))
+
 
 @linalg_structured_op
 def elemwise_unary_poly(
     I=TensorDef(T),
     O=TensorDef(U, output=True),
@@ -197,11 +198,13 @@
         # CHECK-NEXT: -> tensor<4x16xcomplex<f32>>
         @func.FuncOp.from_py_func(
             RankedTensorType.get((4, 16), c32), RankedTensorType.get((4, 16), c32)
         )
         def test_c32_elemwise_conj(input, init_result):
-            return elemwise_unary_poly(input, outs=[init_result], fun=UnaryFn.conj, cast=None)
+            return elemwise_unary_poly(
+                input, outs=[init_result], fun=UnaryFn.conj, cast=None
+            )
 
         # Just check that we don't assert out on name mismatch.
         # CHECK-LABEL: @test_non_default_op_name
         @func.FuncOp.from_py_func(
             RankedTensorType.get((42,), f32), RankedTensorType.get((42,), f32)

``````````

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https://github.com/llvm/llvm-project/pull/162665