mlir/test/mlir-linalg-ods-gen/test-linalg-ods-yaml-gen.yaml

# RUN: mlir-linalg-ods-yaml-gen %s --o-ods-decl=- | FileCheck %s --check-prefix=ODS
# RUN: mlir-linalg-ods-yaml-gen %s --o-impl=- | FileCheck %s --check-prefix=IMPL

# @linalg_structured_op
# def test1(O=TensorDef(T, S.M, S.N, output=True)):
#   """Title.

#   Detailed description.
#   """
#   O[D.m, D.n] = cast(T, const(42)) + cast(T, index(D.n))

--- !LinalgOpConfig
metadata: !LinalgOpMetadata
  name: test1
  cpp_class_name: Test1Op
  doc: |-
    Title.

    Detailed description.
structured_op: !LinalgStructuredOpConfig
  args:
  - !LinalgOperandDefConfig
    name: O
    usage: OutputOperand
    type_var: T
    shape_map: affine_map<()[s0, s1] -> (s0, s1)>
  indexing_maps: !LinalgIndexingMapsConfig
    static_indexing_maps:
    - affine_map<(d0, d1)[s0, s1] -> (d0, d1)>
  iterator_types:
  - parallel
  - parallel
  assignments:
  - !ScalarAssign
    arg: O
    value: !ScalarExpression
      scalar_apply:
        fn_name: add
        operands:
        - !ScalarExpression
          symbolic_cast:
            type_var: T
            operands:
            - !ScalarExpression
              scalar_const: '42 : i64'
            is_unsigned_cast: false
        - !ScalarExpression
          symbolic_cast:
            type_var: T
            operands:
            - !ScalarExpression
              scalar_index: 1
            is_unsigned_cast: true

# ODS-LABEL:  def Test1Op : LinalgStructuredBase_Op<"test1"

#       ODS:  let summary = [{ Title. }];
#  ODS-NEXT:  let description = [{
#  ODS-NEXT:    Detailed description.
#  ODS-NEXT:  }];

#       ODS:  let arguments =
#  ODS-NEXT:    Variadic<AnyType>:$inputs,
#  ODS-NEXT:    Variadic<AnyShaped>:$outputs

#       ODS:  let builders =
#       ODS:  (ins "TypeRange":$resultTensorTypes, "ValueRange":$inputs,
#  ODS-NEXT:       "ValueRange":$outputs,
#  ODS-NEXT:       CArg<"ArrayRef<NamedAttribute>", "{}">:$attributes),

#       ODS:    $_state.addOperands(inputs);
#  ODS-NEXT:    $_state.addOperands(outputs);
#  ODS-NEXT:    $_state.addTypes(resultTensorTypes);
#  ODS-NEXT:    $_state.addAttributes(attributes);
#  ODS-NEXT:    $_state.addAttribute(
#  ODS-NEXT:      "operand_segment_sizes",
#  ODS-NEXT:      $_builder.getI32VectorAttr({
#  ODS-NEXT:        static_cast<int32_t>(inputs.size()),
#  ODS-NEXT:        static_cast<int32_t>(outputs.size())}));
#  ODS-NEXT:    createAndFillStructuredOpRegion<Test1Op>(
#  ODS-NEXT:      $_builder,
#  ODS-NEXT:      $_state,
#  ODS-NEXT:      TypeRange(inputs),
#  ODS-NEXT:      TypeRange(outputs)

# IMPL-LABEL:  void Test1Op::regionBuilder(
#       IMPL:    ImplicitLocOpBuilder &b, Block &block)
#       IMPL:  Value [[VAL0:[a-z0-9]+]] = helper.constant("42 : i64");
#   IMPL-DAG:  Value [[VAL1:[a-z0-9]+]] = helper.cast(block.getArgument(0).getType(), [[VAL0]], false);
#   IMPL-DAG:  Value [[VAL2:[a-z0-9]+]] = helper.index(1);
#   IMPL-DAG:  Value [[VAL3:[a-z0-9]+]] = helper.cast(block.getArgument(0).getType(), [[VAL2]], true);
#   IMPL-DAG:  Value [[VAL4:[a-z0-9]+]] = helper.applyfn__add([[VAL1]], [[VAL3]]);


# @linalg_structured_op
# def test2(I=TensorDef(T, S.M, S.N),
#           O=TensorDef(T, S.M, S.N, output=True),
#           strides=AttributeDef(S.SM, S.SN)):
#   """Title.

#   Detailed description.
#   """
#   O[D.m, D.n] = I[D.n * S.SM, D.m * S.SN]

--- !LinalgOpConfig
metadata: !LinalgOpMetadata
  name: test2
  cpp_class_name: Test2Op
  doc: |-
    Title.

    Detailed description.
structured_op: !LinalgStructuredOpConfig
  args:
  - !LinalgOperandDefConfig
    name: I
    usage: InputOperand
    type_var: T
    shape_map: affine_map<()[s0, s1, s2, s3] -> (s0, s1)>
  - !LinalgOperandDefConfig
    name: O
    usage: OutputOperand
    type_var: T
    shape_map: affine_map<()[s0, s1, s2, s3] -> (s0, s1)>
  - !LinalgOperandDefConfig
    name: strides
    usage: IndexAttribute
    type_var: I64
    attribute_map: affine_map<()[s0, s1, s2, s3] -> (s2, s3)>
  indexing_maps: !LinalgIndexingMapsConfig
    static_indexing_maps:
    - affine_map<(d0, d1)[s0, s1, s2, s3] -> (d1 * s2, d0 * s3)>
    - affine_map<(d0, d1)[s0, s1, s2, s3] -> (d0, d1)>
  iterator_types:
  - parallel
  - parallel
  assignments:
  - !ScalarAssign
    arg: O
    value: !ScalarExpression
      scalar_arg: I

# ODS-LABEL:  def Test2Op : LinalgStructuredBase_Op<"test2"

#       ODS:  let arguments =
#  ODS-NEXT:    Variadic<AnyType>:$inputs,
#  ODS-NEXT:    Variadic<AnyShaped>:$outputs,
#  ODS-NEXT:    RankedI64ElementsAttr<[2]>:$strides

#       ODS:  "Attribute":$strides
#       ODS:  $_state.addAttribute("strides", strides);

#       ODS:  bool hasDynamicIndexingMaps();
#  ODS-NEXT:  LogicalResult verifyIndexingMapRequiredAttributes();

#       IMPL:  getSymbolBindings(Test2Op self)
#       IMPL:  cst2 = self.strides().getValues<int64_t>()[0];
#  IMPL-NEXT:  getAffineConstantExpr(cst2, context)
#       IMPL:  cst3 = self.strides().getValues<int64_t>()[1];
#  IMPL-NEXT:  getAffineConstantExpr(cst3, context)

#       IMPL:  Test2Op::indexing_maps()
#       IMPL:  = getSymbolBindings(*this);
#       IMPL:  "affine_map<(d0, d1)[s0, s1, s2, s3] -> (d1 * s2, d0 * s3)>"
#       IMPL:  "affine_map<(d0, d1)[s0, s1, s2, s3] -> (d0, d1)>"

#       IMPL:  Test2Op::getNumRegionArgs() { return 2; }

#       IMPL:  Test2Op::hasDynamicIndexingMaps() { return true; }
#       IMPL:  Test2Op::verifyIndexingMapRequiredAttributes()
#       IMPL:  auto attr = op->getAttrOfType<DenseElementsAttr>("strides")
#       IMPL:  "missing indexing map required attribute 'strides'"

#       IMPL:  void Test2Op::regionBuilder(ImplicitLocOpBuilder &b, Block &block)
#  IMPL-NEXT:    assert(2 > 0 && block.getNumArguments() == 2 &&

#       IMPL:   yields.push_back(block.getArgument(0));