379 lines
11 KiB
YAML
379 lines
11 KiB
YAML
# RUN: mlir-linalg-ods-yaml-gen %s --o-ods-decl=- | FileCheck %s --check-prefix=ODS
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# RUN: mlir-linalg-ods-yaml-gen %s --o-impl=- | FileCheck %s --check-prefix=IMPL
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# @linalg_structured_op
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# def test1(O=TensorDef(T, S.M, S.N, output=True),
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# cast=TypeFnAttrDef(default=TypeFn.cast_signed)):
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# """Title.
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# Detailed description.
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# """
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# O[D.m, D.n] = cast(T, const(42)) + cast(T, index(D.n))
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--- !LinalgOpConfig
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metadata: !LinalgOpMetadata
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name: test1
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cpp_class_name: Test1Op
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doc: |-
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Title.
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Detailed description.
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structured_op: !LinalgStructuredOpConfig
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args:
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- !LinalgOperandDefConfig
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name: O
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kind: output_tensor
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type_var: T
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shape_map: affine_map<()[s0, s1] -> (s0, s1)>
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- !LinalgOperandDefConfig
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name: cast
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kind: type_fn_attr
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default_fn: cast_signed
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indexing_maps: !LinalgIndexingMapsConfig
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static_indexing_maps:
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- affine_map<(d0, d1)[s0, s1] -> (d0, d1)>
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iterator_types:
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- parallel
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- parallel
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assignments:
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- !ScalarAssign
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arg: O
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value: !ScalarExpression
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scalar_fn:
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kind: binary
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fn_name: add
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operands:
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- !ScalarExpression
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scalar_fn:
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kind: type
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attr_name: cast
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type_var: T
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operands:
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- !ScalarExpression
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scalar_const: '42 : i64'
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- !ScalarExpression
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scalar_fn:
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kind: type
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attr_name: cast
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type_var: T
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operands:
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- !ScalarExpression
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scalar_index: 1
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# ODS-LABEL: def Test1Op : LinalgStructuredBase_Op<"test1"
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# ODS: let summary = [{ Title. }];
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# ODS-NEXT: let description = [{
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# ODS-NEXT: Detailed description.
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# ODS-NEXT: }];
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# ODS: let arguments =
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# ODS-NEXT: Variadic<AnyType>:$inputs,
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# ODS-NEXT: Variadic<AnyShaped>:$outputs,
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# ODS-NEXT: DefaultValuedOptionalAttr<TypeFnAttr, "TypeFn::cast_signed">:$cast
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# ODS: let builders =
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# ODS: (ins "TypeRange":$resultTensorTypes, "ValueRange":$inputs,
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# ODS-NEXT: "ValueRange":$outputs,
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# ODS-NEXT: CArg<"ArrayRef<NamedAttribute>", "{}">:$attributes),
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# ODS: (ins "TypeRange":$resultTensorTypes, "ValueRange":$inputs,
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# ODS-NEXT: "ValueRange":$outputs, "Attribute":$cast,
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# ODS-NEXT: CArg<"ArrayRef<NamedAttribute>", "{}">:$attributes),
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# ODS: buildStructuredOp($_builder, $_state, resultTensorTypes,
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# ODS-NEXT: attributes, Test1Op::getRegionBuilder())
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# IMPL-LABEL: void Test1Op::regionBuilder(ImplicitLocOpBuilder &b,
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# IMPL-NEXT: Block &block, ArrayRef<NamedAttribute> attrs)
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# IMPL: TypeFn castVal = TypeFn::cast_signed;
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# IMPL-NEXT: auto castIter = llvm::find_if(attrs, [&](const NamedAttribute &attr) {
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# IMPL-NEXT: return attr.getName() == "cast"; });
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# IMPL-NEXT: if (castIter != attrs.end()) {
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# IMPL-NEXT: if (auto attr = castIter->getValue().dyn_cast<TypeFnAttr>())
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# IMPL-NEXT: castVal = attr.getValue();
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# IMPL-NEXT: }
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# IMPL: Value [[VAL0:[a-z0-9]+]] = helper.constant("42 : i64");
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# IMPL-DAG: Value [[VAL1:[a-z0-9]+]] = helper.buildTypeFn(castVal, block.getArgument(0).getType(), [[VAL0]]);
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# IMPL-DAG: Value [[VAL2:[a-z0-9]+]] = helper.index(1);
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# IMPL-DAG: Value [[VAL3:[a-z0-9]+]] = helper.buildTypeFn(castVal, block.getArgument(0).getType(), [[VAL2]]);
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# IMPL-DAG: Value [[VAL4:[a-z0-9]+]] = helper.buildBinaryFn(BinaryFn::add, [[VAL1]], [[VAL3]]);
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# @linalg_structured_op
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# def test2(I=TensorDef(T, S.M, S.N),
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# O=TensorDef(T, S.M, S.N, output=True),
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# strides=IndexAttrDef(S.SM, S.SN, default=[1, 2])):
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# """Title.
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# Detailed description.
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# """
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# O[D.m, D.n] = I[D.n * S.SM, D.m * S.SN]
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--- !LinalgOpConfig
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metadata: !LinalgOpMetadata
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name: test2
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cpp_class_name: Test2Op
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doc: |-
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Title.
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Detailed description.
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structured_op: !LinalgStructuredOpConfig
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args:
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- !LinalgOperandDefConfig
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name: I
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kind: input_tensor
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type_var: T
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shape_map: affine_map<()[s0, s1, s2, s3] -> (s0, s1)>
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- !LinalgOperandDefConfig
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name: O
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kind: output_tensor
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type_var: T
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shape_map: affine_map<()[s0, s1, s2, s3] -> (s0, s1)>
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- !LinalgOperandDefConfig
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name: strides
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kind: index_attr
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index_attr_map: affine_map<()[s0, s1, s2, s3] -> (s2, s3)>
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default_indices:
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- 1
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- 2
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indexing_maps: !LinalgIndexingMapsConfig
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static_indexing_maps:
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- affine_map<(d0, d1)[s0, s1, s2, s3] -> (d1 * s2, d0 * s3)>
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- affine_map<(d0, d1)[s0, s1, s2, s3] -> (d0, d1)>
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iterator_types:
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- parallel
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- parallel
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assignments:
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- !ScalarAssign
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arg: O
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value: !ScalarExpression
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scalar_arg: I
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# ODS-LABEL: def Test2Op : LinalgStructuredBase_Op<"test2"
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# ODS: let arguments =
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# ODS-NEXT: Variadic<AnyType>:$inputs,
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# ODS-NEXT: Variadic<AnyShaped>:$outputs,
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# ODS-NEXT: DefaultValuedOptionalAttr<RankedI64ElementsAttr<[2]>
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# ODS-SAME: "{ static_cast<int64_t>(1), static_cast<int64_t>(2) }">:$strides
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# ODS: "Attribute":$strides
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# ODS: $_state.addAttribute("strides", strides);
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# ODS: bool hasDynamicIndexingMaps();
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# ODS-NEXT: LogicalResult verifyIndexingMapRequiredAttributes();
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# IMPL: getSymbolBindings(Test2Op self)
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# IMPL: cst2 = self.getStrides().getValues<int64_t>()[0];
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# IMPL-NEXT: getAffineConstantExpr(cst2, context)
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# IMPL: cst3 = self.getStrides().getValues<int64_t>()[1];
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# IMPL-NEXT: getAffineConstantExpr(cst3, context)
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# IMPL: Test2Op::getIndexingMaps()
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# IMPL: = getSymbolBindings(*this);
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# IMPL: "affine_map<(d0, d1)[s0, s1, s2, s3] -> (d1 * s2, d0 * s3)>"
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# IMPL: "affine_map<(d0, d1)[s0, s1, s2, s3] -> (d0, d1)>"
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# IMPL: Test2Op::getNumRegionArgs() { return 2; }
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# IMPL: Test2Op::hasDynamicIndexingMaps() { return true; }
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# IMPL: Test2Op::verifyIndexingMapRequiredAttributes()
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# IMPL: auto attr = op->getAttrOfType<DenseElementsAttr>("strides")
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# IMPL: "incorrect element type for index attribute 'strides'"
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# IMPL: "incorrect shape for index attribute 'strides'"
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# IMPL: void Test2Op::regionBuilder(ImplicitLocOpBuilder &b,
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# IMPL-NEXT: Block &block, ArrayRef<NamedAttribute> attrs)
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# IMPL-NEXT: assert(2 > 0 && block.getNumArguments() == 2 &&
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# IMPL: yields.push_back(block.getArgument(0));
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# @linalg_structured_op
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# def test3(value=ScalarDef(T1),
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# O=TensorDef(U, output=True)):
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# """Title.
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# Detailed description.
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# """
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# O[None] = TypeFn.cast_signed(U, value)
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--- !LinalgOpConfig
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metadata: !LinalgOpMetadata
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name: test3
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cpp_class_name: Test3Op
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doc: |-
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Title.
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Detailed description.
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structured_op: !LinalgStructuredOpConfig
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args:
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- !LinalgOperandDefConfig
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name: value
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kind: scalar
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type_var: T1
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- !LinalgOperandDefConfig
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name: O
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kind: output_tensor
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type_var: U
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shape_map: affine_map<() -> ()>
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indexing_maps: !LinalgIndexingMapsConfig
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static_indexing_maps:
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- affine_map<() -> ()>
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- affine_map<() -> ()>
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iterator_types: []
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assignments:
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- !ScalarAssign
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arg: O
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value: !ScalarExpression
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scalar_fn:
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kind: type
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fn_name: cast_signed
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type_var: U
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operands:
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- !ScalarExpression
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scalar_arg: value
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# IMPL: Test3Op::getIteratorTypesArray() {
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# IMPL-NEXT: int64_t rank = getRank(getDpsInitOperand(0));
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# IMPL: Test3Op::getIndexingMaps() {
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# IMPL-NEXT: MLIRContext *context = getContext();
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# IMPL-NEXT: AffineMap scalarMap = AffineMap::get(getNumParallelLoops(), 0, context);
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# IMPL-NEXT: AffineMap tensorMap = AffineMap::getMultiDimIdentityMap(
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# @linalg_structured_op
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# def test4(O=TensorDef(T, S.M, S.N, output=True),
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# unary_fun=UnaryFnAttrDef(default=UnaryFn.exp),
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# binary_fun=BinaryFnAttrDef(default=BinaryFn.add)):
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# """Title.
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# Detailed description.
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# """
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# O[D.m, D.n] = binary_fun(unary_fun(O[D.m, D.n]), O[D.m, D.n])
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--- !LinalgOpConfig
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metadata: !LinalgOpMetadata
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name: test4
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cpp_class_name: Test4Op
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doc: |-
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Title.
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Detailed description.
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structured_op: !LinalgStructuredOpConfig
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args:
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- !LinalgOperandDefConfig
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name: O
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kind: output_tensor
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type_var: T
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shape_map: affine_map<()[s0, s1] -> (s0, s1)>
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- !LinalgOperandDefConfig
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name: unary_fun
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kind: unary_fn_attr
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default_fn: exp
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- !LinalgOperandDefConfig
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name: binary_fun
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kind: binary_fn_attr
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default_fn: add
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indexing_maps: !LinalgIndexingMapsConfig
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static_indexing_maps:
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- affine_map<(d0, d1)[s0, s1] -> (d0, d1)>
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iterator_types:
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- parallel
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- parallel
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assignments:
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- !ScalarAssign
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arg: O
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value: !ScalarExpression
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scalar_fn:
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kind: binary
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attr_name: binary_fun
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operands:
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- !ScalarExpression
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scalar_fn:
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kind: unary
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attr_name: unary_fun
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operands:
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- !ScalarExpression
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scalar_arg: O
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- !ScalarExpression
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scalar_arg: O
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# ODS-LABEL: def Test4Op : LinalgStructuredBase_Op<"test4"
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# ODS: let arguments =
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# ODS-NEXT: Variadic<AnyType>:$inputs,
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# ODS-NEXT: Variadic<AnyShaped>:$outputs,
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# ODS-NEXT: DefaultValuedOptionalAttr<UnaryFnAttr, "UnaryFn::exp">:$unary_fun,
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# ODS-NEXT: DefaultValuedOptionalAttr<BinaryFnAttr, "BinaryFn::add">:$binary_fun
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# ODS: "Attribute":$unary_fun, "Attribute":$binary_fun,
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# ODS: $_state.addAttribute("unary_fun", unary_fun)
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# ODS-NEXT: $_state.addAttribute("binary_fun", binary_fun)
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# IMPL-LABEL: void Test4Op::regionBuilder(ImplicitLocOpBuilder &b,
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# IMPL-NEXT: Block &block, ArrayRef<NamedAttribute> attrs)
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# IMPL: UnaryFn unary_funVal = UnaryFn::exp
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# IMPL: BinaryFn binary_funVal = BinaryFn::add
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# IMPL: Value [[VAL0:[a-z0-9]+]] = helper.buildUnaryFn(unary_funVal, block.getArgument(0))
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# IMPL-NEXT: Value [[VAL1:[a-z0-9]+]] = helper.buildBinaryFn(binary_funVal, [[VAL0]], block.getArgument(0))
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# IMPL-NEXT: yields.push_back([[VAL1]])
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# @linalg_structured_op
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# def test5(value=ScalarDef(T1), O=TensorDef(U, output=True)):
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# """Title.
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# Detailed description.
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# """
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# implements(FillOpInterface)
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# defines(Canonicalizer)
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# O[None] = TypeFn.cast(U, value)
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--- !LinalgOpConfig
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metadata: !LinalgOpMetadata
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name: test5
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cpp_class_name: Test5Op
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doc: |-
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Title.
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Detailed description.
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implements:
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- LinalgFillOpInterface
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defines:
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- hasCanonicalizer
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structured_op: !LinalgStructuredOpConfig
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args:
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- !LinalgOperandDefConfig
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name: value
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kind: scalar
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type_var: T1
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- !LinalgOperandDefConfig
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name: O
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kind: output_tensor
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type_var: U
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shape_map: affine_map<() -> ()>
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indexing_maps: !LinalgIndexingMapsConfig
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static_indexing_maps:
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- affine_map<() -> ()>
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- affine_map<() -> ()>
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iterator_types: []
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assignments:
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- !ScalarAssign
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arg: O
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value: !ScalarExpression
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scalar_fn:
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kind: type
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fn_name: cast
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type_var: U
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operands:
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- !ScalarExpression
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scalar_arg: value
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# ODS-LABEL: def Test5Op : LinalgStructuredBase_Op<"test5"
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# ODS-NEXT: /*extraInterfaces=*/[LinalgFillOpInterface])>
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# ODS: let hasCanonicalizer = 1;
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