/*===- TableGen'erated file -------------------------------------*- C++ -*-===*\
|*                                                                            *|
|* Op Declarations                                                            *|
|*                                                                            *|
|* Automatically generated file, do not edit!                                 *|
|* From: TosaOps.td                                                           *|
|*                                                                            *|
\*===----------------------------------------------------------------------===*/

namespace mlir {
namespace tosa {
class AbsOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class AddOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class ApplyScaleOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class ArgMaxOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class ArithmeticRightShiftOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class AvgPool2dOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class BitwiseAndOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class BitwiseNotOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class BitwiseOrOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class BitwiseXorOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class CastOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class CeilOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class ClampOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class ClzOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class ConcatOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class ConstOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class ConstShapeOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class Conv2DOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class Conv3DOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class CosOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class CustomOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class DepthwiseConv2DOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class EqualOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class ErfOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class ExpOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class FFT2dOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class FloorOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class FullyConnectedOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class GatherOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class GreaterEqualOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class GreaterOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class IdentityOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class IfOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class IntDivOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class LogOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class LogicalAndOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class LogicalLeftShiftOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class LogicalNotOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class LogicalOrOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class LogicalRightShiftOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class LogicalXorOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class MatMulOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class MaxPool2dOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class MaximumOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class MinimumOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class MulOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class NegateOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class PadOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class PowOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class RFFT2dOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class ReciprocalOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class ReduceAllOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class ReduceAnyOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class ReduceMaxOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class ReduceMinOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class ReduceProdOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class ReduceSumOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class RescaleOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class ReshapeOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class ResizeOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class ReverseOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class RsqrtOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class ScatterOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class SelectOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class SigmoidOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class SinOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class SliceOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class SubOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class TableOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class TanhOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class TileOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class TransposeConv2DOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class TransposeOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class VariableOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class VariableReadOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class VariableWriteOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class WhileOp;
} // namespace tosa
} // namespace mlir
namespace mlir {
namespace tosa {
class YieldOp;
} // namespace tosa
} // namespace mlir
#ifdef GET_OP_CLASSES
#undef GET_OP_CLASSES

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::AbsOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class AbsOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  AbsOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.abs", odsAttrs.getContext());
  }

  AbsOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

};
} // namespace detail
template <typename RangeT>
class AbsOpGenericAdaptor : public detail::AbsOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::AbsOpGenericAdaptorBase;
public:
  AbsOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  AbsOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : AbsOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  AbsOpGenericAdaptor(RangeT values, const AbsOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = AbsOp, typename = std::enable_if_t<std::is_same_v<LateInst, AbsOp>>>
  AbsOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput1() {
    return (*getODSOperands(0).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class AbsOpAdaptor : public AbsOpGenericAdaptor<::mlir::ValueRange> {
public:
  using AbsOpGenericAdaptor::AbsOpGenericAdaptor;
  AbsOpAdaptor(AbsOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class AbsOp : public ::mlir::Op<AbsOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::OneOperand, ::mlir::OpTrait::OpInvariants, ::mlir::OpTrait::SameOperandsAndResultShape, ::mlir::OpTrait::ResultsBroadcastableShape, ::mlir::OpTrait::SameOperandsAndResultRank, ::mlir::OpTrait::SameOperandsAndResultElementType, ::mlir::InferShapedTypeOpInterface::Trait, mlir::OpTrait::tosa::TosaElementwiseOperator, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = AbsOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = AbsOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.abs");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput1() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::OpOperand &getInput1Mutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  ::mlir::OpFoldResult fold(FoldAdaptor adaptor);
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::AbsOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::AddOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class AddOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  AddOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.add", odsAttrs.getContext());
  }

  AddOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

};
} // namespace detail
template <typename RangeT>
class AddOpGenericAdaptor : public detail::AddOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::AddOpGenericAdaptorBase;
public:
  AddOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  AddOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : AddOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  AddOpGenericAdaptor(RangeT values, const AddOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = AddOp, typename = std::enable_if_t<std::is_same_v<LateInst, AddOp>>>
  AddOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput1() {
    return (*getODSOperands(0).begin());
  }

  ValueT getInput2() {
    return (*getODSOperands(1).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class AddOpAdaptor : public AddOpGenericAdaptor<::mlir::ValueRange> {
public:
  using AddOpGenericAdaptor::AddOpGenericAdaptor;
  AddOpAdaptor(AddOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class AddOp : public ::mlir::Op<AddOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::NOperands<2>::Impl, ::mlir::OpTrait::OpInvariants, ::mlir::OpTrait::IsCommutative, ::mlir::OpTrait::ResultsBroadcastableShape, ::mlir::OpTrait::SameOperandsAndResultElementType, ::mlir::OpTrait::SameOperandsAndResultRank, ::mlir::InferShapedTypeOpInterface::Trait, mlir::OpTrait::tosa::TosaElementwiseOperator, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = AddOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = AddOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.add");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput1() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput2() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(1).begin());
  }

  ::mlir::OpOperand &getInput1Mutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getInput2Mutable() {
    auto range = getODSOperandIndexAndLength(1);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1, ::mlir::Value input2);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1, ::mlir::Value input2);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  ::mlir::OpFoldResult fold(FoldAdaptor adaptor);
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::AddOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::ApplyScaleOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class ApplyScaleOpGenericAdaptorBase {
public:
  struct Properties {
    using double_roundTy = ::mlir::BoolAttr;
    double_roundTy double_round;

    auto getDoubleRound() {
      auto &propStorage = this->double_round;
      return ::llvm::cast<::mlir::BoolAttr>(propStorage);
    }
    void setDoubleRound(const ::mlir::BoolAttr &propValue) {
      this->double_round = propValue;
    }
    bool operator==(const Properties &rhs) const {
      return 
        rhs.double_round == this->double_round &&
        true;
    }
    bool operator!=(const Properties &rhs) const {
      return !(*this == rhs);
    }
  };
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  Properties properties;
  ::mlir::RegionRange odsRegions;
public:
  ApplyScaleOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.apply_scale", odsAttrs.getContext());
  }

  ApplyScaleOpGenericAdaptorBase(ApplyScaleOp op);

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  const Properties &getProperties() {
    return properties;
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

  ::mlir::BoolAttr getDoubleRoundAttr() {
    auto attr = ::llvm::cast<::mlir::BoolAttr>(getProperties().double_round);
    return attr;
  }

  bool getDoubleRound();
};
} // namespace detail
template <typename RangeT>
class ApplyScaleOpGenericAdaptor : public detail::ApplyScaleOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::ApplyScaleOpGenericAdaptorBase;
public:
  ApplyScaleOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  ApplyScaleOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : ApplyScaleOpGenericAdaptor(values, attrs, (properties ? *properties.as<Properties *>() : Properties{}), regions) {}

  ApplyScaleOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = nullptr) : ApplyScaleOpGenericAdaptor(values, attrs, Properties{}, {}) {}

  ApplyScaleOpGenericAdaptor(RangeT values, const ApplyScaleOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = ApplyScaleOp, typename = std::enable_if_t<std::is_same_v<LateInst, ApplyScaleOp>>>
  ApplyScaleOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getValue() {
    return (*getODSOperands(0).begin());
  }

  ValueT getMultiplier() {
    return (*getODSOperands(1).begin());
  }

  ValueT getShift() {
    return (*getODSOperands(2).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class ApplyScaleOpAdaptor : public ApplyScaleOpGenericAdaptor<::mlir::ValueRange> {
public:
  using ApplyScaleOpGenericAdaptor::ApplyScaleOpGenericAdaptor;
  ApplyScaleOpAdaptor(ApplyScaleOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class ApplyScaleOp : public ::mlir::Op<ApplyScaleOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::Type>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::NOperands<3>::Impl, ::mlir::OpTrait::OpInvariants, ::mlir::BytecodeOpInterface::Trait, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, ::mlir::VectorUnrollOpInterface::Trait, ::mlir::OpTrait::Elementwise, ::mlir::OpTrait::Scalarizable, ::mlir::OpTrait::Vectorizable, ::mlir::OpTrait::Tensorizable, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = ApplyScaleOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = ApplyScaleOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    static ::llvm::StringRef attrNames[] = {::llvm::StringRef("double_round")};
    return ::llvm::ArrayRef(attrNames);
  }

  ::mlir::StringAttr getDoubleRoundAttrName() {
    return getAttributeNameForIndex(0);
  }

  static ::mlir::StringAttr getDoubleRoundAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 0);
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.apply_scale");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::Type> getValue() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::Type>>(*getODSOperands(0).begin());
  }

  ::mlir::TypedValue<::mlir::Type> getMultiplier() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::Type>>(*getODSOperands(1).begin());
  }

  ::mlir::TypedValue<::mlir::Type> getShift() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::Type>>(*getODSOperands(2).begin());
  }

  ::mlir::OpOperand &getValueMutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getMultiplierMutable() {
    auto range = getODSOperandIndexAndLength(1);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getShiftMutable() {
    auto range = getODSOperandIndexAndLength(2);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::Type> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::Type>>(*getODSResults(0).begin());
  }

  static ::llvm::LogicalResult setPropertiesFromAttr(Properties &prop, ::mlir::Attribute attr, ::llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::mlir::Attribute getPropertiesAsAttr(::mlir::MLIRContext *ctx, const Properties &prop);
  static llvm::hash_code computePropertiesHash(const Properties &prop);
  static std::optional<mlir::Attribute> getInherentAttr(::mlir::MLIRContext *ctx, const Properties &prop, llvm::StringRef name);
  static void setInherentAttr(Properties &prop, llvm::StringRef name, mlir::Attribute value);
  static void populateInherentAttrs(::mlir::MLIRContext *ctx, const Properties &prop, ::mlir::NamedAttrList &attrs);
  static ::llvm::LogicalResult verifyInherentAttrs(::mlir::OperationName opName, ::mlir::NamedAttrList &attrs, llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::llvm::LogicalResult readProperties(::mlir::DialectBytecodeReader &reader, ::mlir::OperationState &state);
  void writeProperties(::mlir::DialectBytecodeWriter &writer);
  ::mlir::BoolAttr getDoubleRoundAttr() {
    return ::llvm::cast<::mlir::BoolAttr>(getProperties().double_round);
  }

  bool getDoubleRound();
  void setDoubleRoundAttr(::mlir::BoolAttr attr) {
    getProperties().double_round = attr;
  }

  void setDoubleRound(bool attrValue);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value value, ::mlir::Value multiplier, ::mlir::Value shift, ::mlir::BoolAttr double_round);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value value, ::mlir::Value multiplier, ::mlir::Value shift, ::mlir::BoolAttr double_round);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value value, ::mlir::Value multiplier, ::mlir::Value shift, bool double_round);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value value, ::mlir::Value multiplier, ::mlir::Value shift, bool double_round);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
private:
  ::mlir::StringAttr getAttributeNameForIndex(unsigned index) {
    return getAttributeNameForIndex((*this)->getName(), index);
  }

  static ::mlir::StringAttr getAttributeNameForIndex(::mlir::OperationName name, unsigned index) {
    assert(index < 1 && "invalid attribute index");
    assert(name.getStringRef() == getOperationName() && "invalid operation name");
    assert(name.isRegistered() && "Operation isn't registered, missing a "
          "dependent dialect loading?");
    return name.getAttributeNames()[index];
  }

public:
  std::optional<SmallVector<int64_t, 4>> getShapeForUnroll();
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::ApplyScaleOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::ArgMaxOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class ArgMaxOpGenericAdaptorBase {
public:
  struct Properties {
    using axisTy = ::mlir::IntegerAttr;
    axisTy axis;

    auto getAxis() {
      auto &propStorage = this->axis;
      return ::llvm::cast<::mlir::IntegerAttr>(propStorage);
    }
    void setAxis(const ::mlir::IntegerAttr &propValue) {
      this->axis = propValue;
    }
    using nan_modeTy = ::mlir::StringAttr;
    nan_modeTy nan_mode;

    auto getNanMode() {
      auto &propStorage = this->nan_mode;
      return ::llvm::dyn_cast_or_null<::mlir::StringAttr>(propStorage);
    }
    void setNanMode(const ::mlir::StringAttr &propValue) {
      this->nan_mode = propValue;
    }
    bool operator==(const Properties &rhs) const {
      return 
        rhs.axis == this->axis &&
        rhs.nan_mode == this->nan_mode &&
        true;
    }
    bool operator!=(const Properties &rhs) const {
      return !(*this == rhs);
    }
  };
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  Properties properties;
  ::mlir::RegionRange odsRegions;
public:
  ArgMaxOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.argmax", odsAttrs.getContext());
  }

  ArgMaxOpGenericAdaptorBase(ArgMaxOp op);

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  const Properties &getProperties() {
    return properties;
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

  ::mlir::IntegerAttr getAxisAttr() {
    auto attr = ::llvm::cast<::mlir::IntegerAttr>(getProperties().axis);
    return attr;
  }

  uint32_t getAxis();
  ::mlir::StringAttr getNanModeAttr();
  ::llvm::StringRef getNanMode();
};
} // namespace detail
template <typename RangeT>
class ArgMaxOpGenericAdaptor : public detail::ArgMaxOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::ArgMaxOpGenericAdaptorBase;
public:
  ArgMaxOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  ArgMaxOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : ArgMaxOpGenericAdaptor(values, attrs, (properties ? *properties.as<Properties *>() : Properties{}), regions) {}

  ArgMaxOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = nullptr) : ArgMaxOpGenericAdaptor(values, attrs, Properties{}, {}) {}

  ArgMaxOpGenericAdaptor(RangeT values, const ArgMaxOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = ArgMaxOp, typename = std::enable_if_t<std::is_same_v<LateInst, ArgMaxOp>>>
  ArgMaxOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput() {
    return (*getODSOperands(0).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class ArgMaxOpAdaptor : public ArgMaxOpGenericAdaptor<::mlir::ValueRange> {
public:
  using ArgMaxOpGenericAdaptor::ArgMaxOpGenericAdaptor;
  ArgMaxOpAdaptor(ArgMaxOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class ArgMaxOp : public ::mlir::Op<ArgMaxOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::OneOperand, ::mlir::OpTrait::OpInvariants, ::mlir::BytecodeOpInterface::Trait, ::mlir::InferShapedTypeOpInterface::Trait, ::mlir::OpTrait::InferShapedTypeOpAdaptor, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = ArgMaxOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = ArgMaxOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    static ::llvm::StringRef attrNames[] = {::llvm::StringRef("axis"), ::llvm::StringRef("nan_mode")};
    return ::llvm::ArrayRef(attrNames);
  }

  ::mlir::StringAttr getAxisAttrName() {
    return getAttributeNameForIndex(0);
  }

  static ::mlir::StringAttr getAxisAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 0);
  }

  ::mlir::StringAttr getNanModeAttrName() {
    return getAttributeNameForIndex(1);
  }

  static ::mlir::StringAttr getNanModeAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 1);
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.argmax");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::OpOperand &getInputMutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static ::llvm::LogicalResult setPropertiesFromAttr(Properties &prop, ::mlir::Attribute attr, ::llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::mlir::Attribute getPropertiesAsAttr(::mlir::MLIRContext *ctx, const Properties &prop);
  static llvm::hash_code computePropertiesHash(const Properties &prop);
  static std::optional<mlir::Attribute> getInherentAttr(::mlir::MLIRContext *ctx, const Properties &prop, llvm::StringRef name);
  static void setInherentAttr(Properties &prop, llvm::StringRef name, mlir::Attribute value);
  static void populateInherentAttrs(::mlir::MLIRContext *ctx, const Properties &prop, ::mlir::NamedAttrList &attrs);
  static ::llvm::LogicalResult verifyInherentAttrs(::mlir::OperationName opName, ::mlir::NamedAttrList &attrs, llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::llvm::LogicalResult readProperties(::mlir::DialectBytecodeReader &reader, ::mlir::OperationState &state);
  void writeProperties(::mlir::DialectBytecodeWriter &writer);
  ::mlir::IntegerAttr getAxisAttr() {
    return ::llvm::cast<::mlir::IntegerAttr>(getProperties().axis);
  }

  uint32_t getAxis();
  ::mlir::StringAttr getNanModeAttr() {
    return ::llvm::dyn_cast_or_null<::mlir::StringAttr>(getProperties().nan_mode);
  }

  ::llvm::StringRef getNanMode();
  void setAxisAttr(::mlir::IntegerAttr attr) {
    getProperties().axis = attr;
  }

  void setAxis(uint32_t attrValue);
  void setNanModeAttr(::mlir::StringAttr attr) {
    getProperties().nan_mode = attr;
  }

  void setNanMode(::llvm::StringRef attrValue);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input, ::mlir::IntegerAttr axis, ::mlir::StringAttr nan_mode = nullptr);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input, ::mlir::IntegerAttr axis, ::mlir::StringAttr nan_mode = nullptr);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input, uint32_t axis, ::llvm::StringRef nan_mode = "PROPAGATE");
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input, uint32_t axis, ::llvm::StringRef nan_mode = "PROPAGATE");
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static void populateDefaultProperties(::mlir::OperationName opName, Properties &properties);
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  ::llvm::LogicalResult verify();
  ::mlir::OpFoldResult fold(FoldAdaptor adaptor);
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
private:
  ::mlir::StringAttr getAttributeNameForIndex(unsigned index) {
    return getAttributeNameForIndex((*this)->getName(), index);
  }

  static ::mlir::StringAttr getAttributeNameForIndex(::mlir::OperationName name, unsigned index) {
    assert(index < 2 && "invalid attribute index");
    assert(name.getStringRef() == getOperationName() && "invalid operation name");
    assert(name.isRegistered() && "Operation isn't registered, missing a "
          "dependent dialect loading?");
    return name.getAttributeNames()[index];
  }

public:
  static ::llvm::LogicalResult
  inferReturnTypeComponents(::mlir::MLIRContext *context,
                          std::optional<::mlir::Location> location,
                          Adaptor adaptor,
                          ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents> &inferredReturnShapes);

};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::ArgMaxOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::ArithmeticRightShiftOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class ArithmeticRightShiftOpGenericAdaptorBase {
public:
  struct Properties {
    using roundTy = ::mlir::BoolAttr;
    roundTy round;

    auto getRound() {
      auto &propStorage = this->round;
      return ::llvm::cast<::mlir::BoolAttr>(propStorage);
    }
    void setRound(const ::mlir::BoolAttr &propValue) {
      this->round = propValue;
    }
    bool operator==(const Properties &rhs) const {
      return 
        rhs.round == this->round &&
        true;
    }
    bool operator!=(const Properties &rhs) const {
      return !(*this == rhs);
    }
  };
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  Properties properties;
  ::mlir::RegionRange odsRegions;
public:
  ArithmeticRightShiftOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.arithmetic_right_shift", odsAttrs.getContext());
  }

  ArithmeticRightShiftOpGenericAdaptorBase(ArithmeticRightShiftOp op);

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  const Properties &getProperties() {
    return properties;
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

  ::mlir::BoolAttr getRoundAttr() {
    auto attr = ::llvm::cast<::mlir::BoolAttr>(getProperties().round);
    return attr;
  }

  bool getRound();
};
} // namespace detail
template <typename RangeT>
class ArithmeticRightShiftOpGenericAdaptor : public detail::ArithmeticRightShiftOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::ArithmeticRightShiftOpGenericAdaptorBase;
public:
  ArithmeticRightShiftOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  ArithmeticRightShiftOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : ArithmeticRightShiftOpGenericAdaptor(values, attrs, (properties ? *properties.as<Properties *>() : Properties{}), regions) {}

  ArithmeticRightShiftOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = nullptr) : ArithmeticRightShiftOpGenericAdaptor(values, attrs, Properties{}, {}) {}

  ArithmeticRightShiftOpGenericAdaptor(RangeT values, const ArithmeticRightShiftOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = ArithmeticRightShiftOp, typename = std::enable_if_t<std::is_same_v<LateInst, ArithmeticRightShiftOp>>>
  ArithmeticRightShiftOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput1() {
    return (*getODSOperands(0).begin());
  }

  ValueT getInput2() {
    return (*getODSOperands(1).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class ArithmeticRightShiftOpAdaptor : public ArithmeticRightShiftOpGenericAdaptor<::mlir::ValueRange> {
public:
  using ArithmeticRightShiftOpGenericAdaptor::ArithmeticRightShiftOpGenericAdaptor;
  ArithmeticRightShiftOpAdaptor(ArithmeticRightShiftOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class ArithmeticRightShiftOp : public ::mlir::Op<ArithmeticRightShiftOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::NOperands<2>::Impl, ::mlir::OpTrait::OpInvariants, ::mlir::BytecodeOpInterface::Trait, ::mlir::OpTrait::ResultsBroadcastableShape, ::mlir::OpTrait::SameOperandsAndResultElementType, ::mlir::OpTrait::SameOperandsAndResultRank, ::mlir::InferShapedTypeOpInterface::Trait, mlir::OpTrait::tosa::TosaElementwiseOperator, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = ArithmeticRightShiftOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = ArithmeticRightShiftOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    static ::llvm::StringRef attrNames[] = {::llvm::StringRef("round")};
    return ::llvm::ArrayRef(attrNames);
  }

  ::mlir::StringAttr getRoundAttrName() {
    return getAttributeNameForIndex(0);
  }

  static ::mlir::StringAttr getRoundAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 0);
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.arithmetic_right_shift");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput1() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput2() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(1).begin());
  }

  ::mlir::OpOperand &getInput1Mutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getInput2Mutable() {
    auto range = getODSOperandIndexAndLength(1);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static ::llvm::LogicalResult setPropertiesFromAttr(Properties &prop, ::mlir::Attribute attr, ::llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::mlir::Attribute getPropertiesAsAttr(::mlir::MLIRContext *ctx, const Properties &prop);
  static llvm::hash_code computePropertiesHash(const Properties &prop);
  static std::optional<mlir::Attribute> getInherentAttr(::mlir::MLIRContext *ctx, const Properties &prop, llvm::StringRef name);
  static void setInherentAttr(Properties &prop, llvm::StringRef name, mlir::Attribute value);
  static void populateInherentAttrs(::mlir::MLIRContext *ctx, const Properties &prop, ::mlir::NamedAttrList &attrs);
  static ::llvm::LogicalResult verifyInherentAttrs(::mlir::OperationName opName, ::mlir::NamedAttrList &attrs, llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::llvm::LogicalResult readProperties(::mlir::DialectBytecodeReader &reader, ::mlir::OperationState &state);
  void writeProperties(::mlir::DialectBytecodeWriter &writer);
  ::mlir::BoolAttr getRoundAttr() {
    return ::llvm::cast<::mlir::BoolAttr>(getProperties().round);
  }

  bool getRound();
  void setRoundAttr(::mlir::BoolAttr attr) {
    getProperties().round = attr;
  }

  void setRound(bool attrValue);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1, ::mlir::Value input2, ::mlir::BoolAttr round);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1, ::mlir::Value input2, ::mlir::BoolAttr round);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1, ::mlir::Value input2, bool round);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1, ::mlir::Value input2, bool round);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
private:
  ::mlir::StringAttr getAttributeNameForIndex(unsigned index) {
    return getAttributeNameForIndex((*this)->getName(), index);
  }

  static ::mlir::StringAttr getAttributeNameForIndex(::mlir::OperationName name, unsigned index) {
    assert(index < 1 && "invalid attribute index");
    assert(name.getStringRef() == getOperationName() && "invalid operation name");
    assert(name.isRegistered() && "Operation isn't registered, missing a "
          "dependent dialect loading?");
    return name.getAttributeNames()[index];
  }

public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::ArithmeticRightShiftOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::AvgPool2dOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class AvgPool2dOpGenericAdaptorBase {
public:
  struct Properties {
    using acc_typeTy = ::mlir::TypeAttr;
    acc_typeTy acc_type;

    auto getAccType() {
      auto &propStorage = this->acc_type;
      return ::llvm::cast<::mlir::TypeAttr>(propStorage);
    }
    void setAccType(const ::mlir::TypeAttr &propValue) {
      this->acc_type = propValue;
    }
    using kernelTy = ::mlir::DenseI64ArrayAttr;
    kernelTy kernel;

    auto getKernel() {
      auto &propStorage = this->kernel;
      return ::llvm::cast<::mlir::DenseI64ArrayAttr>(propStorage);
    }
    void setKernel(const ::mlir::DenseI64ArrayAttr &propValue) {
      this->kernel = propValue;
    }
    using padTy = ::mlir::DenseI64ArrayAttr;
    padTy pad;

    auto getPad() {
      auto &propStorage = this->pad;
      return ::llvm::cast<::mlir::DenseI64ArrayAttr>(propStorage);
    }
    void setPad(const ::mlir::DenseI64ArrayAttr &propValue) {
      this->pad = propValue;
    }
    using quantization_infoTy = mlir::tosa::UnaryOpQuantizationAttr;
    quantization_infoTy quantization_info;

    auto getQuantizationInfo() {
      auto &propStorage = this->quantization_info;
      return ::llvm::dyn_cast_or_null<mlir::tosa::UnaryOpQuantizationAttr>(propStorage);
    }
    void setQuantizationInfo(const mlir::tosa::UnaryOpQuantizationAttr &propValue) {
      this->quantization_info = propValue;
    }
    using strideTy = ::mlir::DenseI64ArrayAttr;
    strideTy stride;

    auto getStride() {
      auto &propStorage = this->stride;
      return ::llvm::cast<::mlir::DenseI64ArrayAttr>(propStorage);
    }
    void setStride(const ::mlir::DenseI64ArrayAttr &propValue) {
      this->stride = propValue;
    }
    bool operator==(const Properties &rhs) const {
      return 
        rhs.acc_type == this->acc_type &&
        rhs.kernel == this->kernel &&
        rhs.pad == this->pad &&
        rhs.quantization_info == this->quantization_info &&
        rhs.stride == this->stride &&
        true;
    }
    bool operator!=(const Properties &rhs) const {
      return !(*this == rhs);
    }
  };
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  Properties properties;
  ::mlir::RegionRange odsRegions;
public:
  AvgPool2dOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.avg_pool2d", odsAttrs.getContext());
  }

  AvgPool2dOpGenericAdaptorBase(AvgPool2dOp op);

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  const Properties &getProperties() {
    return properties;
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

  ::mlir::DenseI64ArrayAttr getKernelAttr() {
    auto attr = ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().kernel);
    return attr;
  }

  ::llvm::ArrayRef<int64_t> getKernel();
  ::mlir::DenseI64ArrayAttr getStrideAttr() {
    auto attr = ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().stride);
    return attr;
  }

  ::llvm::ArrayRef<int64_t> getStride();
  ::mlir::DenseI64ArrayAttr getPadAttr() {
    auto attr = ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().pad);
    return attr;
  }

  ::llvm::ArrayRef<int64_t> getPad();
  ::mlir::TypeAttr getAccTypeAttr() {
    auto attr = ::llvm::cast<::mlir::TypeAttr>(getProperties().acc_type);
    return attr;
  }

  ::mlir::Type getAccType();
  mlir::tosa::UnaryOpQuantizationAttr getQuantizationInfoAttr() {
    auto attr = ::llvm::dyn_cast_or_null<mlir::tosa::UnaryOpQuantizationAttr>(getProperties().quantization_info);
    return attr;
  }

  ::std::optional<mlir::tosa::UnaryOpQuantizationAttr> getQuantizationInfo();
};
} // namespace detail
template <typename RangeT>
class AvgPool2dOpGenericAdaptor : public detail::AvgPool2dOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::AvgPool2dOpGenericAdaptorBase;
public:
  AvgPool2dOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  AvgPool2dOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : AvgPool2dOpGenericAdaptor(values, attrs, (properties ? *properties.as<Properties *>() : Properties{}), regions) {}

  AvgPool2dOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = nullptr) : AvgPool2dOpGenericAdaptor(values, attrs, Properties{}, {}) {}

  AvgPool2dOpGenericAdaptor(RangeT values, const AvgPool2dOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = AvgPool2dOp, typename = std::enable_if_t<std::is_same_v<LateInst, AvgPool2dOp>>>
  AvgPool2dOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput() {
    return (*getODSOperands(0).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class AvgPool2dOpAdaptor : public AvgPool2dOpGenericAdaptor<::mlir::ValueRange> {
public:
  using AvgPool2dOpGenericAdaptor::AvgPool2dOpGenericAdaptor;
  AvgPool2dOpAdaptor(AvgPool2dOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class AvgPool2dOp : public ::mlir::Op<AvgPool2dOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::OneOperand, ::mlir::OpTrait::OpInvariants, ::mlir::BytecodeOpInterface::Trait, ::mlir::InferShapedTypeOpInterface::Trait, ::mlir::OpTrait::InferShapedTypeOpAdaptor, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = AvgPool2dOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = AvgPool2dOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    static ::llvm::StringRef attrNames[] = {::llvm::StringRef("acc_type"), ::llvm::StringRef("kernel"), ::llvm::StringRef("pad"), ::llvm::StringRef("quantization_info"), ::llvm::StringRef("stride")};
    return ::llvm::ArrayRef(attrNames);
  }

  ::mlir::StringAttr getAccTypeAttrName() {
    return getAttributeNameForIndex(0);
  }

  static ::mlir::StringAttr getAccTypeAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 0);
  }

  ::mlir::StringAttr getKernelAttrName() {
    return getAttributeNameForIndex(1);
  }

  static ::mlir::StringAttr getKernelAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 1);
  }

  ::mlir::StringAttr getPadAttrName() {
    return getAttributeNameForIndex(2);
  }

  static ::mlir::StringAttr getPadAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 2);
  }

  ::mlir::StringAttr getQuantizationInfoAttrName() {
    return getAttributeNameForIndex(3);
  }

  static ::mlir::StringAttr getQuantizationInfoAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 3);
  }

  ::mlir::StringAttr getStrideAttrName() {
    return getAttributeNameForIndex(4);
  }

  static ::mlir::StringAttr getStrideAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 4);
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.avg_pool2d");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::OpOperand &getInputMutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static ::llvm::LogicalResult setPropertiesFromAttr(Properties &prop, ::mlir::Attribute attr, ::llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::mlir::Attribute getPropertiesAsAttr(::mlir::MLIRContext *ctx, const Properties &prop);
  static llvm::hash_code computePropertiesHash(const Properties &prop);
  static std::optional<mlir::Attribute> getInherentAttr(::mlir::MLIRContext *ctx, const Properties &prop, llvm::StringRef name);
  static void setInherentAttr(Properties &prop, llvm::StringRef name, mlir::Attribute value);
  static void populateInherentAttrs(::mlir::MLIRContext *ctx, const Properties &prop, ::mlir::NamedAttrList &attrs);
  static ::llvm::LogicalResult verifyInherentAttrs(::mlir::OperationName opName, ::mlir::NamedAttrList &attrs, llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::llvm::LogicalResult readProperties(::mlir::DialectBytecodeReader &reader, ::mlir::OperationState &state);
  void writeProperties(::mlir::DialectBytecodeWriter &writer);
  ::mlir::DenseI64ArrayAttr getKernelAttr() {
    return ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().kernel);
  }

  ::llvm::ArrayRef<int64_t> getKernel();
  ::mlir::DenseI64ArrayAttr getStrideAttr() {
    return ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().stride);
  }

  ::llvm::ArrayRef<int64_t> getStride();
  ::mlir::DenseI64ArrayAttr getPadAttr() {
    return ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().pad);
  }

  ::llvm::ArrayRef<int64_t> getPad();
  ::mlir::TypeAttr getAccTypeAttr() {
    return ::llvm::cast<::mlir::TypeAttr>(getProperties().acc_type);
  }

  ::mlir::Type getAccType();
  mlir::tosa::UnaryOpQuantizationAttr getQuantizationInfoAttr() {
    return ::llvm::dyn_cast_or_null<mlir::tosa::UnaryOpQuantizationAttr>(getProperties().quantization_info);
  }

  ::std::optional<mlir::tosa::UnaryOpQuantizationAttr> getQuantizationInfo();
  void setKernelAttr(::mlir::DenseI64ArrayAttr attr) {
    getProperties().kernel = attr;
  }

  void setKernel(::llvm::ArrayRef<int64_t> attrValue);
  void setStrideAttr(::mlir::DenseI64ArrayAttr attr) {
    getProperties().stride = attr;
  }

  void setStride(::llvm::ArrayRef<int64_t> attrValue);
  void setPadAttr(::mlir::DenseI64ArrayAttr attr) {
    getProperties().pad = attr;
  }

  void setPad(::llvm::ArrayRef<int64_t> attrValue);
  void setAccTypeAttr(::mlir::TypeAttr attr) {
    getProperties().acc_type = attr;
  }

  void setAccType(::mlir::Type attrValue);
  void setQuantizationInfoAttr(mlir::tosa::UnaryOpQuantizationAttr attr) {
    getProperties().quantization_info = attr;
  }

  ::mlir::Attribute removeQuantizationInfoAttr() {
      auto &attr = getProperties().quantization_info;
      attr = {};
      return attr;
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type outputType, ::mlir::Value input, ::mlir::DenseI64ArrayAttr kernel, ::mlir::DenseI64ArrayAttr stride, ::mlir::DenseI64ArrayAttr pad, ::mlir::TypeAttr acc_type);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input, ::mlir::DenseI64ArrayAttr kernel, ::mlir::DenseI64ArrayAttr stride, ::mlir::DenseI64ArrayAttr pad, ::mlir::TypeAttr acc_type, /*optional*/mlir::tosa::UnaryOpQuantizationAttr quantization_info);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input, ::mlir::DenseI64ArrayAttr kernel, ::mlir::DenseI64ArrayAttr stride, ::mlir::DenseI64ArrayAttr pad, ::mlir::TypeAttr acc_type, /*optional*/mlir::tosa::UnaryOpQuantizationAttr quantization_info);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input, ::llvm::ArrayRef<int64_t> kernel, ::llvm::ArrayRef<int64_t> stride, ::llvm::ArrayRef<int64_t> pad, ::mlir::Type acc_type, /*optional*/mlir::tosa::UnaryOpQuantizationAttr quantization_info);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input, ::llvm::ArrayRef<int64_t> kernel, ::llvm::ArrayRef<int64_t> stride, ::llvm::ArrayRef<int64_t> pad, ::mlir::Type acc_type, /*optional*/mlir::tosa::UnaryOpQuantizationAttr quantization_info);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  ::llvm::LogicalResult verify();
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
private:
  ::mlir::StringAttr getAttributeNameForIndex(unsigned index) {
    return getAttributeNameForIndex((*this)->getName(), index);
  }

  static ::mlir::StringAttr getAttributeNameForIndex(::mlir::OperationName name, unsigned index) {
    assert(index < 5 && "invalid attribute index");
    assert(name.getStringRef() == getOperationName() && "invalid operation name");
    assert(name.isRegistered() && "Operation isn't registered, missing a "
          "dependent dialect loading?");
    return name.getAttributeNames()[index];
  }

public:
  static ::llvm::LogicalResult
  inferReturnTypeComponents(::mlir::MLIRContext *context,
                          std::optional<::mlir::Location> location,
                          Adaptor adaptor,
                          ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents> &inferredReturnShapes);

};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::AvgPool2dOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::BitwiseAndOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class BitwiseAndOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  BitwiseAndOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.bitwise_and", odsAttrs.getContext());
  }

  BitwiseAndOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

};
} // namespace detail
template <typename RangeT>
class BitwiseAndOpGenericAdaptor : public detail::BitwiseAndOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::BitwiseAndOpGenericAdaptorBase;
public:
  BitwiseAndOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  BitwiseAndOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : BitwiseAndOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  BitwiseAndOpGenericAdaptor(RangeT values, const BitwiseAndOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = BitwiseAndOp, typename = std::enable_if_t<std::is_same_v<LateInst, BitwiseAndOp>>>
  BitwiseAndOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput1() {
    return (*getODSOperands(0).begin());
  }

  ValueT getInput2() {
    return (*getODSOperands(1).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class BitwiseAndOpAdaptor : public BitwiseAndOpGenericAdaptor<::mlir::ValueRange> {
public:
  using BitwiseAndOpGenericAdaptor::BitwiseAndOpGenericAdaptor;
  BitwiseAndOpAdaptor(BitwiseAndOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class BitwiseAndOp : public ::mlir::Op<BitwiseAndOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::NOperands<2>::Impl, ::mlir::OpTrait::OpInvariants, ::mlir::OpTrait::IsCommutative, ::mlir::OpTrait::ResultsBroadcastableShape, ::mlir::OpTrait::SameOperandsAndResultElementType, ::mlir::OpTrait::SameOperandsAndResultRank, ::mlir::InferShapedTypeOpInterface::Trait, mlir::OpTrait::tosa::TosaElementwiseOperator, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = BitwiseAndOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = BitwiseAndOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.bitwise_and");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput1() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput2() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(1).begin());
  }

  ::mlir::OpOperand &getInput1Mutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getInput2Mutable() {
    auto range = getODSOperandIndexAndLength(1);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1, ::mlir::Value input2);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1, ::mlir::Value input2);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::BitwiseAndOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::BitwiseNotOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class BitwiseNotOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  BitwiseNotOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.bitwise_not", odsAttrs.getContext());
  }

  BitwiseNotOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

};
} // namespace detail
template <typename RangeT>
class BitwiseNotOpGenericAdaptor : public detail::BitwiseNotOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::BitwiseNotOpGenericAdaptorBase;
public:
  BitwiseNotOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  BitwiseNotOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : BitwiseNotOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  BitwiseNotOpGenericAdaptor(RangeT values, const BitwiseNotOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = BitwiseNotOp, typename = std::enable_if_t<std::is_same_v<LateInst, BitwiseNotOp>>>
  BitwiseNotOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput1() {
    return (*getODSOperands(0).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class BitwiseNotOpAdaptor : public BitwiseNotOpGenericAdaptor<::mlir::ValueRange> {
public:
  using BitwiseNotOpGenericAdaptor::BitwiseNotOpGenericAdaptor;
  BitwiseNotOpAdaptor(BitwiseNotOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class BitwiseNotOp : public ::mlir::Op<BitwiseNotOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::OneOperand, ::mlir::OpTrait::OpInvariants, ::mlir::OpTrait::SameOperandsAndResultShape, ::mlir::OpTrait::ResultsBroadcastableShape, ::mlir::OpTrait::SameOperandsAndResultRank, ::mlir::OpTrait::SameOperandsAndResultElementType, ::mlir::InferShapedTypeOpInterface::Trait, mlir::OpTrait::tosa::TosaElementwiseOperator, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = BitwiseNotOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = BitwiseNotOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.bitwise_not");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput1() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::OpOperand &getInput1Mutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::BitwiseNotOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::BitwiseOrOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class BitwiseOrOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  BitwiseOrOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.bitwise_or", odsAttrs.getContext());
  }

  BitwiseOrOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

};
} // namespace detail
template <typename RangeT>
class BitwiseOrOpGenericAdaptor : public detail::BitwiseOrOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::BitwiseOrOpGenericAdaptorBase;
public:
  BitwiseOrOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  BitwiseOrOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : BitwiseOrOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  BitwiseOrOpGenericAdaptor(RangeT values, const BitwiseOrOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = BitwiseOrOp, typename = std::enable_if_t<std::is_same_v<LateInst, BitwiseOrOp>>>
  BitwiseOrOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput1() {
    return (*getODSOperands(0).begin());
  }

  ValueT getInput2() {
    return (*getODSOperands(1).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class BitwiseOrOpAdaptor : public BitwiseOrOpGenericAdaptor<::mlir::ValueRange> {
public:
  using BitwiseOrOpGenericAdaptor::BitwiseOrOpGenericAdaptor;
  BitwiseOrOpAdaptor(BitwiseOrOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class BitwiseOrOp : public ::mlir::Op<BitwiseOrOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::NOperands<2>::Impl, ::mlir::OpTrait::OpInvariants, ::mlir::OpTrait::IsCommutative, ::mlir::OpTrait::ResultsBroadcastableShape, ::mlir::OpTrait::SameOperandsAndResultElementType, ::mlir::OpTrait::SameOperandsAndResultRank, ::mlir::InferShapedTypeOpInterface::Trait, mlir::OpTrait::tosa::TosaElementwiseOperator, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = BitwiseOrOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = BitwiseOrOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.bitwise_or");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput1() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput2() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(1).begin());
  }

  ::mlir::OpOperand &getInput1Mutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getInput2Mutable() {
    auto range = getODSOperandIndexAndLength(1);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1, ::mlir::Value input2);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1, ::mlir::Value input2);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::BitwiseOrOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::BitwiseXorOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class BitwiseXorOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  BitwiseXorOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.bitwise_xor", odsAttrs.getContext());
  }

  BitwiseXorOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

};
} // namespace detail
template <typename RangeT>
class BitwiseXorOpGenericAdaptor : public detail::BitwiseXorOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::BitwiseXorOpGenericAdaptorBase;
public:
  BitwiseXorOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  BitwiseXorOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : BitwiseXorOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  BitwiseXorOpGenericAdaptor(RangeT values, const BitwiseXorOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = BitwiseXorOp, typename = std::enable_if_t<std::is_same_v<LateInst, BitwiseXorOp>>>
  BitwiseXorOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput1() {
    return (*getODSOperands(0).begin());
  }

  ValueT getInput2() {
    return (*getODSOperands(1).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class BitwiseXorOpAdaptor : public BitwiseXorOpGenericAdaptor<::mlir::ValueRange> {
public:
  using BitwiseXorOpGenericAdaptor::BitwiseXorOpGenericAdaptor;
  BitwiseXorOpAdaptor(BitwiseXorOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class BitwiseXorOp : public ::mlir::Op<BitwiseXorOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::NOperands<2>::Impl, ::mlir::OpTrait::OpInvariants, ::mlir::OpTrait::IsCommutative, ::mlir::OpTrait::ResultsBroadcastableShape, ::mlir::OpTrait::SameOperandsAndResultElementType, ::mlir::OpTrait::SameOperandsAndResultRank, ::mlir::InferShapedTypeOpInterface::Trait, mlir::OpTrait::tosa::TosaElementwiseOperator, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = BitwiseXorOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = BitwiseXorOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.bitwise_xor");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput1() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput2() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(1).begin());
  }

  ::mlir::OpOperand &getInput1Mutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getInput2Mutable() {
    auto range = getODSOperandIndexAndLength(1);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1, ::mlir::Value input2);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1, ::mlir::Value input2);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::BitwiseXorOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::CastOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class CastOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  CastOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.cast", odsAttrs.getContext());
  }

  CastOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

};
} // namespace detail
template <typename RangeT>
class CastOpGenericAdaptor : public detail::CastOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::CastOpGenericAdaptorBase;
public:
  CastOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  CastOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : CastOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  CastOpGenericAdaptor(RangeT values, const CastOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = CastOp, typename = std::enable_if_t<std::is_same_v<LateInst, CastOp>>>
  CastOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput() {
    return (*getODSOperands(0).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class CastOpAdaptor : public CastOpGenericAdaptor<::mlir::ValueRange> {
public:
  using CastOpGenericAdaptor::CastOpGenericAdaptor;
  CastOpAdaptor(CastOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class CastOp : public ::mlir::Op<CastOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::OneOperand, ::mlir::OpTrait::OpInvariants, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, ::mlir::InferShapedTypeOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = CastOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = CastOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.cast");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::OpOperand &getInputMutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  ::mlir::OpFoldResult fold(FoldAdaptor adaptor);
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::CastOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::CeilOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class CeilOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  CeilOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.ceil", odsAttrs.getContext());
  }

  CeilOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

};
} // namespace detail
template <typename RangeT>
class CeilOpGenericAdaptor : public detail::CeilOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::CeilOpGenericAdaptorBase;
public:
  CeilOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  CeilOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : CeilOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  CeilOpGenericAdaptor(RangeT values, const CeilOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = CeilOp, typename = std::enable_if_t<std::is_same_v<LateInst, CeilOp>>>
  CeilOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput1() {
    return (*getODSOperands(0).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class CeilOpAdaptor : public CeilOpGenericAdaptor<::mlir::ValueRange> {
public:
  using CeilOpGenericAdaptor::CeilOpGenericAdaptor;
  CeilOpAdaptor(CeilOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class CeilOp : public ::mlir::Op<CeilOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::OneOperand, ::mlir::OpTrait::OpInvariants, ::mlir::OpTrait::SameOperandsAndResultShape, ::mlir::OpTrait::ResultsBroadcastableShape, ::mlir::OpTrait::SameOperandsAndResultRank, ::mlir::OpTrait::SameOperandsAndResultElementType, ::mlir::InferShapedTypeOpInterface::Trait, mlir::OpTrait::tosa::TosaElementwiseOperator, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = CeilOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = CeilOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.ceil");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput1() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::OpOperand &getInput1Mutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::CeilOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::ClampOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class ClampOpGenericAdaptorBase {
public:
  struct Properties {
    using max_fpTy = ::mlir::FloatAttr;
    max_fpTy max_fp;

    auto getMaxFp() {
      auto &propStorage = this->max_fp;
      return ::llvm::cast<::mlir::FloatAttr>(propStorage);
    }
    void setMaxFp(const ::mlir::FloatAttr &propValue) {
      this->max_fp = propValue;
    }
    using max_intTy = ::mlir::IntegerAttr;
    max_intTy max_int;

    auto getMaxInt() {
      auto &propStorage = this->max_int;
      return ::llvm::cast<::mlir::IntegerAttr>(propStorage);
    }
    void setMaxInt(const ::mlir::IntegerAttr &propValue) {
      this->max_int = propValue;
    }
    using min_fpTy = ::mlir::FloatAttr;
    min_fpTy min_fp;

    auto getMinFp() {
      auto &propStorage = this->min_fp;
      return ::llvm::cast<::mlir::FloatAttr>(propStorage);
    }
    void setMinFp(const ::mlir::FloatAttr &propValue) {
      this->min_fp = propValue;
    }
    using min_intTy = ::mlir::IntegerAttr;
    min_intTy min_int;

    auto getMinInt() {
      auto &propStorage = this->min_int;
      return ::llvm::cast<::mlir::IntegerAttr>(propStorage);
    }
    void setMinInt(const ::mlir::IntegerAttr &propValue) {
      this->min_int = propValue;
    }
    using nan_modeTy = ::mlir::StringAttr;
    nan_modeTy nan_mode;

    auto getNanMode() {
      auto &propStorage = this->nan_mode;
      return ::llvm::dyn_cast_or_null<::mlir::StringAttr>(propStorage);
    }
    void setNanMode(const ::mlir::StringAttr &propValue) {
      this->nan_mode = propValue;
    }
    bool operator==(const Properties &rhs) const {
      return 
        rhs.max_fp == this->max_fp &&
        rhs.max_int == this->max_int &&
        rhs.min_fp == this->min_fp &&
        rhs.min_int == this->min_int &&
        rhs.nan_mode == this->nan_mode &&
        true;
    }
    bool operator!=(const Properties &rhs) const {
      return !(*this == rhs);
    }
  };
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  Properties properties;
  ::mlir::RegionRange odsRegions;
public:
  ClampOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.clamp", odsAttrs.getContext());
  }

  ClampOpGenericAdaptorBase(ClampOp op);

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  const Properties &getProperties() {
    return properties;
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

  ::mlir::IntegerAttr getMinIntAttr() {
    auto attr = ::llvm::cast<::mlir::IntegerAttr>(getProperties().min_int);
    return attr;
  }

  uint64_t getMinInt();
  ::mlir::IntegerAttr getMaxIntAttr() {
    auto attr = ::llvm::cast<::mlir::IntegerAttr>(getProperties().max_int);
    return attr;
  }

  uint64_t getMaxInt();
  ::mlir::FloatAttr getMinFpAttr() {
    auto attr = ::llvm::cast<::mlir::FloatAttr>(getProperties().min_fp);
    return attr;
  }

  ::mlir::APFloat getMinFp();
  ::mlir::FloatAttr getMaxFpAttr() {
    auto attr = ::llvm::cast<::mlir::FloatAttr>(getProperties().max_fp);
    return attr;
  }

  ::mlir::APFloat getMaxFp();
  ::mlir::StringAttr getNanModeAttr();
  ::llvm::StringRef getNanMode();
};
} // namespace detail
template <typename RangeT>
class ClampOpGenericAdaptor : public detail::ClampOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::ClampOpGenericAdaptorBase;
public:
  ClampOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  ClampOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : ClampOpGenericAdaptor(values, attrs, (properties ? *properties.as<Properties *>() : Properties{}), regions) {}

  ClampOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = nullptr) : ClampOpGenericAdaptor(values, attrs, Properties{}, {}) {}

  ClampOpGenericAdaptor(RangeT values, const ClampOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = ClampOp, typename = std::enable_if_t<std::is_same_v<LateInst, ClampOp>>>
  ClampOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput() {
    return (*getODSOperands(0).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class ClampOpAdaptor : public ClampOpGenericAdaptor<::mlir::ValueRange> {
public:
  using ClampOpGenericAdaptor::ClampOpGenericAdaptor;
  ClampOpAdaptor(ClampOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class ClampOp : public ::mlir::Op<ClampOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::OneOperand, ::mlir::OpTrait::OpInvariants, ::mlir::BytecodeOpInterface::Trait, ::mlir::OpTrait::SameOperandsAndResultShape, ::mlir::OpTrait::ResultsBroadcastableShape, ::mlir::OpTrait::SameOperandsAndResultRank, ::mlir::OpTrait::SameOperandsAndResultElementType, ::mlir::InferShapedTypeOpInterface::Trait, mlir::OpTrait::tosa::TosaElementwiseOperator, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = ClampOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = ClampOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    static ::llvm::StringRef attrNames[] = {::llvm::StringRef("max_fp"), ::llvm::StringRef("max_int"), ::llvm::StringRef("min_fp"), ::llvm::StringRef("min_int"), ::llvm::StringRef("nan_mode")};
    return ::llvm::ArrayRef(attrNames);
  }

  ::mlir::StringAttr getMaxFpAttrName() {
    return getAttributeNameForIndex(0);
  }

  static ::mlir::StringAttr getMaxFpAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 0);
  }

  ::mlir::StringAttr getMaxIntAttrName() {
    return getAttributeNameForIndex(1);
  }

  static ::mlir::StringAttr getMaxIntAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 1);
  }

  ::mlir::StringAttr getMinFpAttrName() {
    return getAttributeNameForIndex(2);
  }

  static ::mlir::StringAttr getMinFpAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 2);
  }

  ::mlir::StringAttr getMinIntAttrName() {
    return getAttributeNameForIndex(3);
  }

  static ::mlir::StringAttr getMinIntAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 3);
  }

  ::mlir::StringAttr getNanModeAttrName() {
    return getAttributeNameForIndex(4);
  }

  static ::mlir::StringAttr getNanModeAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 4);
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.clamp");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::OpOperand &getInputMutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static ::llvm::LogicalResult setPropertiesFromAttr(Properties &prop, ::mlir::Attribute attr, ::llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::mlir::Attribute getPropertiesAsAttr(::mlir::MLIRContext *ctx, const Properties &prop);
  static llvm::hash_code computePropertiesHash(const Properties &prop);
  static std::optional<mlir::Attribute> getInherentAttr(::mlir::MLIRContext *ctx, const Properties &prop, llvm::StringRef name);
  static void setInherentAttr(Properties &prop, llvm::StringRef name, mlir::Attribute value);
  static void populateInherentAttrs(::mlir::MLIRContext *ctx, const Properties &prop, ::mlir::NamedAttrList &attrs);
  static ::llvm::LogicalResult verifyInherentAttrs(::mlir::OperationName opName, ::mlir::NamedAttrList &attrs, llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::llvm::LogicalResult readProperties(::mlir::DialectBytecodeReader &reader, ::mlir::OperationState &state);
  void writeProperties(::mlir::DialectBytecodeWriter &writer);
  ::mlir::IntegerAttr getMinIntAttr() {
    return ::llvm::cast<::mlir::IntegerAttr>(getProperties().min_int);
  }

  uint64_t getMinInt();
  ::mlir::IntegerAttr getMaxIntAttr() {
    return ::llvm::cast<::mlir::IntegerAttr>(getProperties().max_int);
  }

  uint64_t getMaxInt();
  ::mlir::FloatAttr getMinFpAttr() {
    return ::llvm::cast<::mlir::FloatAttr>(getProperties().min_fp);
  }

  ::mlir::APFloat getMinFp();
  ::mlir::FloatAttr getMaxFpAttr() {
    return ::llvm::cast<::mlir::FloatAttr>(getProperties().max_fp);
  }

  ::mlir::APFloat getMaxFp();
  ::mlir::StringAttr getNanModeAttr() {
    return ::llvm::dyn_cast_or_null<::mlir::StringAttr>(getProperties().nan_mode);
  }

  ::llvm::StringRef getNanMode();
  void setMinIntAttr(::mlir::IntegerAttr attr) {
    getProperties().min_int = attr;
  }

  void setMinInt(uint64_t attrValue);
  void setMaxIntAttr(::mlir::IntegerAttr attr) {
    getProperties().max_int = attr;
  }

  void setMaxInt(uint64_t attrValue);
  void setMinFpAttr(::mlir::FloatAttr attr) {
    getProperties().min_fp = attr;
  }

  void setMaxFpAttr(::mlir::FloatAttr attr) {
    getProperties().max_fp = attr;
  }

  void setNanModeAttr(::mlir::StringAttr attr) {
    getProperties().nan_mode = attr;
  }

  void setNanMode(::llvm::StringRef attrValue);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input, ::mlir::IntegerAttr min_int, ::mlir::IntegerAttr max_int, ::mlir::FloatAttr min_fp, ::mlir::FloatAttr max_fp, ::mlir::StringAttr nan_mode = nullptr);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input, ::mlir::IntegerAttr min_int, ::mlir::IntegerAttr max_int, ::mlir::FloatAttr min_fp, ::mlir::FloatAttr max_fp, ::mlir::StringAttr nan_mode = nullptr);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input, uint64_t min_int, uint64_t max_int, ::mlir::FloatAttr min_fp, ::mlir::FloatAttr max_fp, ::llvm::StringRef nan_mode = "PROPAGATE");
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input, uint64_t min_int, uint64_t max_int, ::mlir::FloatAttr min_fp, ::mlir::FloatAttr max_fp, ::llvm::StringRef nan_mode = "PROPAGATE");
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static void populateDefaultProperties(::mlir::OperationName opName, Properties &properties);
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  ::llvm::LogicalResult verify();
  static void getCanonicalizationPatterns(::mlir::RewritePatternSet &results, ::mlir::MLIRContext *context);
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
private:
  ::mlir::StringAttr getAttributeNameForIndex(unsigned index) {
    return getAttributeNameForIndex((*this)->getName(), index);
  }

  static ::mlir::StringAttr getAttributeNameForIndex(::mlir::OperationName name, unsigned index) {
    assert(index < 5 && "invalid attribute index");
    assert(name.getStringRef() == getOperationName() && "invalid operation name");
    assert(name.isRegistered() && "Operation isn't registered, missing a "
          "dependent dialect loading?");
    return name.getAttributeNames()[index];
  }

public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::ClampOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::ClzOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class ClzOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  ClzOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.clz", odsAttrs.getContext());
  }

  ClzOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

};
} // namespace detail
template <typename RangeT>
class ClzOpGenericAdaptor : public detail::ClzOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::ClzOpGenericAdaptorBase;
public:
  ClzOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  ClzOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : ClzOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  ClzOpGenericAdaptor(RangeT values, const ClzOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = ClzOp, typename = std::enable_if_t<std::is_same_v<LateInst, ClzOp>>>
  ClzOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput1() {
    return (*getODSOperands(0).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class ClzOpAdaptor : public ClzOpGenericAdaptor<::mlir::ValueRange> {
public:
  using ClzOpGenericAdaptor::ClzOpGenericAdaptor;
  ClzOpAdaptor(ClzOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class ClzOp : public ::mlir::Op<ClzOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::OneOperand, ::mlir::OpTrait::OpInvariants, ::mlir::OpTrait::SameOperandsAndResultShape, ::mlir::OpTrait::ResultsBroadcastableShape, ::mlir::OpTrait::SameOperandsAndResultRank, ::mlir::OpTrait::SameOperandsAndResultElementType, ::mlir::InferShapedTypeOpInterface::Trait, mlir::OpTrait::tosa::TosaElementwiseOperator, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = ClzOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = ClzOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.clz");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput1() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::OpOperand &getInput1Mutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::ClzOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::ConcatOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class ConcatOpGenericAdaptorBase {
public:
  struct Properties {
    using axisTy = ::mlir::IntegerAttr;
    axisTy axis;

    auto getAxis() {
      auto &propStorage = this->axis;
      return ::llvm::cast<::mlir::IntegerAttr>(propStorage);
    }
    void setAxis(const ::mlir::IntegerAttr &propValue) {
      this->axis = propValue;
    }
    bool operator==(const Properties &rhs) const {
      return 
        rhs.axis == this->axis &&
        true;
    }
    bool operator!=(const Properties &rhs) const {
      return !(*this == rhs);
    }
  };
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  Properties properties;
  ::mlir::RegionRange odsRegions;
public:
  ConcatOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.concat", odsAttrs.getContext());
  }

  ConcatOpGenericAdaptorBase(ConcatOp op);

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize);
  const Properties &getProperties() {
    return properties;
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

  ::mlir::IntegerAttr getAxisAttr() {
    auto attr = ::llvm::cast<::mlir::IntegerAttr>(getProperties().axis);
    return attr;
  }

  uint32_t getAxis();
};
} // namespace detail
template <typename RangeT>
class ConcatOpGenericAdaptor : public detail::ConcatOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::ConcatOpGenericAdaptorBase;
public:
  ConcatOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  ConcatOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : ConcatOpGenericAdaptor(values, attrs, (properties ? *properties.as<Properties *>() : Properties{}), regions) {}

  ConcatOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = nullptr) : ConcatOpGenericAdaptor(values, attrs, Properties{}, {}) {}

  ConcatOpGenericAdaptor(RangeT values, const ConcatOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = ConcatOp, typename = std::enable_if_t<std::is_same_v<LateInst, ConcatOp>>>
  ConcatOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  RangeT getInput1() {
    return getODSOperands(0);
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class ConcatOpAdaptor : public ConcatOpGenericAdaptor<::mlir::ValueRange> {
public:
  using ConcatOpGenericAdaptor::ConcatOpGenericAdaptor;
  ConcatOpAdaptor(ConcatOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class ConcatOp : public ::mlir::Op<ConcatOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::VariadicOperands, ::mlir::OpTrait::OpInvariants, ::mlir::BytecodeOpInterface::Trait, ::mlir::InferTypeOpInterface::Trait, ::mlir::InferShapedTypeOpInterface::Trait, ::mlir::OpTrait::InferShapedTypeOpAdaptor, ::mlir::OpTrait::InferTensorType, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = ConcatOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = ConcatOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    static ::llvm::StringRef attrNames[] = {::llvm::StringRef("axis")};
    return ::llvm::ArrayRef(attrNames);
  }

  ::mlir::StringAttr getAxisAttrName() {
    return getAttributeNameForIndex(0);
  }

  static ::mlir::StringAttr getAxisAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 0);
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.concat");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index);
  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::Operation::operand_range getInput1() {
    return getODSOperands(0);
  }

  ::mlir::MutableOperandRange getInput1Mutable();
  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static ::llvm::LogicalResult setPropertiesFromAttr(Properties &prop, ::mlir::Attribute attr, ::llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::mlir::Attribute getPropertiesAsAttr(::mlir::MLIRContext *ctx, const Properties &prop);
  static llvm::hash_code computePropertiesHash(const Properties &prop);
  static std::optional<mlir::Attribute> getInherentAttr(::mlir::MLIRContext *ctx, const Properties &prop, llvm::StringRef name);
  static void setInherentAttr(Properties &prop, llvm::StringRef name, mlir::Attribute value);
  static void populateInherentAttrs(::mlir::MLIRContext *ctx, const Properties &prop, ::mlir::NamedAttrList &attrs);
  static ::llvm::LogicalResult verifyInherentAttrs(::mlir::OperationName opName, ::mlir::NamedAttrList &attrs, llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::llvm::LogicalResult readProperties(::mlir::DialectBytecodeReader &reader, ::mlir::OperationState &state);
  void writeProperties(::mlir::DialectBytecodeWriter &writer);
  ::mlir::IntegerAttr getAxisAttr() {
    return ::llvm::cast<::mlir::IntegerAttr>(getProperties().axis);
  }

  uint32_t getAxis();
  void setAxisAttr(::mlir::IntegerAttr attr) {
    getProperties().axis = attr;
  }

  void setAxis(uint32_t attrValue);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::ValueRange input1, ::mlir::IntegerAttr axis);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::ValueRange input1, ::mlir::IntegerAttr axis);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange input1, ::mlir::IntegerAttr axis);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::ValueRange input1, uint32_t axis);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::ValueRange input1, uint32_t axis);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange input1, uint32_t axis);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  static void getCanonicalizationPatterns(::mlir::RewritePatternSet &results, ::mlir::MLIRContext *context);
  ::mlir::OpFoldResult fold(FoldAdaptor adaptor);
  static ::llvm::LogicalResult inferReturnTypes(::mlir::MLIRContext *context, ::std::optional<::mlir::Location> location, ::mlir::ValueRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::Type>&inferredReturnTypes);
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
private:
  ::mlir::StringAttr getAttributeNameForIndex(unsigned index) {
    return getAttributeNameForIndex((*this)->getName(), index);
  }

  static ::mlir::StringAttr getAttributeNameForIndex(::mlir::OperationName name, unsigned index) {
    assert(index < 1 && "invalid attribute index");
    assert(name.getStringRef() == getOperationName() && "invalid operation name");
    assert(name.isRegistered() && "Operation isn't registered, missing a "
          "dependent dialect loading?");
    return name.getAttributeNames()[index];
  }

public:
      static ::llvm::LogicalResult
      inferReturnTypeComponents(::mlir::MLIRContext *context,
                              std::optional<::mlir::Location> location,
                              Adaptor adaptor,
                              ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents> &inferredReturnShapes);


  /// Returns true when two result types are compatible for this op;
  /// Method used by InferTypeOpInterface.
  static bool isCompatibleReturnTypes(TypeRange l, TypeRange r);
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::ConcatOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::ConstOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class ConstOpGenericAdaptorBase {
public:
  struct Properties {
    using valueTy = ::mlir::ElementsAttr;
    valueTy value;

    auto getValue() {
      auto &propStorage = this->value;
      return ::llvm::cast<::mlir::ElementsAttr>(propStorage);
    }
    void setValue(const ::mlir::ElementsAttr &propValue) {
      this->value = propValue;
    }
    bool operator==(const Properties &rhs) const {
      return 
        rhs.value == this->value &&
        true;
    }
    bool operator!=(const Properties &rhs) const {
      return !(*this == rhs);
    }
  };
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  Properties properties;
  ::mlir::RegionRange odsRegions;
public:
  ConstOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.const", odsAttrs.getContext());
  }

  ConstOpGenericAdaptorBase(ConstOp op);

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  const Properties &getProperties() {
    return properties;
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

  ::mlir::ElementsAttr getValueAttr() {
    auto attr = ::llvm::cast<::mlir::ElementsAttr>(getProperties().value);
    return attr;
  }

  ::mlir::ElementsAttr getValue();
};
} // namespace detail
template <typename RangeT>
class ConstOpGenericAdaptor : public detail::ConstOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::ConstOpGenericAdaptorBase;
public:
  ConstOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  ConstOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : ConstOpGenericAdaptor(values, attrs, (properties ? *properties.as<Properties *>() : Properties{}), regions) {}

  ConstOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = nullptr) : ConstOpGenericAdaptor(values, attrs, Properties{}, {}) {}

  ConstOpGenericAdaptor(RangeT values, const ConstOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = ConstOp, typename = std::enable_if_t<std::is_same_v<LateInst, ConstOp>>>
  ConstOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class ConstOpAdaptor : public ConstOpGenericAdaptor<::mlir::ValueRange> {
public:
  using ConstOpGenericAdaptor::ConstOpGenericAdaptor;
  ConstOpAdaptor(ConstOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class ConstOp : public ::mlir::Op<ConstOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::ZeroOperands, ::mlir::OpTrait::OpInvariants, ::mlir::BytecodeOpInterface::Trait, ::mlir::OpTrait::ConstantLike, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = ConstOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = ConstOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    static ::llvm::StringRef attrNames[] = {::llvm::StringRef("value")};
    return ::llvm::ArrayRef(attrNames);
  }

  ::mlir::StringAttr getValueAttrName() {
    return getAttributeNameForIndex(0);
  }

  static ::mlir::StringAttr getValueAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 0);
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.const");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static ::llvm::LogicalResult setPropertiesFromAttr(Properties &prop, ::mlir::Attribute attr, ::llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::mlir::Attribute getPropertiesAsAttr(::mlir::MLIRContext *ctx, const Properties &prop);
  static llvm::hash_code computePropertiesHash(const Properties &prop);
  static std::optional<mlir::Attribute> getInherentAttr(::mlir::MLIRContext *ctx, const Properties &prop, llvm::StringRef name);
  static void setInherentAttr(Properties &prop, llvm::StringRef name, mlir::Attribute value);
  static void populateInherentAttrs(::mlir::MLIRContext *ctx, const Properties &prop, ::mlir::NamedAttrList &attrs);
  static ::llvm::LogicalResult verifyInherentAttrs(::mlir::OperationName opName, ::mlir::NamedAttrList &attrs, llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::llvm::LogicalResult readProperties(::mlir::DialectBytecodeReader &reader, ::mlir::OperationState &state);
  void writeProperties(::mlir::DialectBytecodeWriter &writer);
  ::mlir::ElementsAttr getValueAttr() {
    return ::llvm::cast<::mlir::ElementsAttr>(getProperties().value);
  }

  ::mlir::ElementsAttr getValue();
  void setValueAttr(::mlir::ElementsAttr attr) {
    getProperties().value = attr;
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::ElementsAttr value);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ElementsAttr value);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  ::llvm::LogicalResult verify();
  ::mlir::OpFoldResult fold(FoldAdaptor adaptor);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
private:
  ::mlir::StringAttr getAttributeNameForIndex(unsigned index) {
    return getAttributeNameForIndex((*this)->getName(), index);
  }

  static ::mlir::StringAttr getAttributeNameForIndex(::mlir::OperationName name, unsigned index) {
    assert(index < 1 && "invalid attribute index");
    assert(name.getStringRef() == getOperationName() && "invalid operation name");
    assert(name.isRegistered() && "Operation isn't registered, missing a "
          "dependent dialect loading?");
    return name.getAttributeNames()[index];
  }

public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::ConstOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::ConstShapeOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class ConstShapeOpGenericAdaptorBase {
public:
  struct Properties {
    using valueTy = ::mlir::DenseIntElementsAttr;
    valueTy value;

    auto getValue() {
      auto &propStorage = this->value;
      return ::llvm::cast<::mlir::DenseIntElementsAttr>(propStorage);
    }
    void setValue(const ::mlir::DenseIntElementsAttr &propValue) {
      this->value = propValue;
    }
    bool operator==(const Properties &rhs) const {
      return 
        rhs.value == this->value &&
        true;
    }
    bool operator!=(const Properties &rhs) const {
      return !(*this == rhs);
    }
  };
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  Properties properties;
  ::mlir::RegionRange odsRegions;
public:
  ConstShapeOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.const_shape", odsAttrs.getContext());
  }

  ConstShapeOpGenericAdaptorBase(ConstShapeOp op);

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  const Properties &getProperties() {
    return properties;
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

  ::mlir::DenseIntElementsAttr getValueAttr() {
    auto attr = ::llvm::cast<::mlir::DenseIntElementsAttr>(getProperties().value);
    return attr;
  }

  ::mlir::DenseIntElementsAttr getValue();
};
} // namespace detail
template <typename RangeT>
class ConstShapeOpGenericAdaptor : public detail::ConstShapeOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::ConstShapeOpGenericAdaptorBase;
public:
  ConstShapeOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  ConstShapeOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : ConstShapeOpGenericAdaptor(values, attrs, (properties ? *properties.as<Properties *>() : Properties{}), regions) {}

  ConstShapeOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = nullptr) : ConstShapeOpGenericAdaptor(values, attrs, Properties{}, {}) {}

  ConstShapeOpGenericAdaptor(RangeT values, const ConstShapeOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = ConstShapeOp, typename = std::enable_if_t<std::is_same_v<LateInst, ConstShapeOp>>>
  ConstShapeOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class ConstShapeOpAdaptor : public ConstShapeOpGenericAdaptor<::mlir::ValueRange> {
public:
  using ConstShapeOpGenericAdaptor::ConstShapeOpGenericAdaptor;
  ConstShapeOpAdaptor(ConstShapeOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class ConstShapeOp : public ::mlir::Op<ConstShapeOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<mlir::tosa::shapeType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::ZeroOperands, ::mlir::OpTrait::OpInvariants, ::mlir::BytecodeOpInterface::Trait, ::mlir::OpTrait::ConstantLike, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, mlir::OpTrait::tosa::TosaShapeOperator, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = ConstShapeOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = ConstShapeOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    static ::llvm::StringRef attrNames[] = {::llvm::StringRef("value")};
    return ::llvm::ArrayRef(attrNames);
  }

  ::mlir::StringAttr getValueAttrName() {
    return getAttributeNameForIndex(0);
  }

  static ::mlir::StringAttr getValueAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 0);
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.const_shape");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<mlir::tosa::shapeType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<mlir::tosa::shapeType>>(*getODSResults(0).begin());
  }

  static ::llvm::LogicalResult setPropertiesFromAttr(Properties &prop, ::mlir::Attribute attr, ::llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::mlir::Attribute getPropertiesAsAttr(::mlir::MLIRContext *ctx, const Properties &prop);
  static llvm::hash_code computePropertiesHash(const Properties &prop);
  static std::optional<mlir::Attribute> getInherentAttr(::mlir::MLIRContext *ctx, const Properties &prop, llvm::StringRef name);
  static void setInherentAttr(Properties &prop, llvm::StringRef name, mlir::Attribute value);
  static void populateInherentAttrs(::mlir::MLIRContext *ctx, const Properties &prop, ::mlir::NamedAttrList &attrs);
  static ::llvm::LogicalResult verifyInherentAttrs(::mlir::OperationName opName, ::mlir::NamedAttrList &attrs, llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::llvm::LogicalResult readProperties(::mlir::DialectBytecodeReader &reader, ::mlir::OperationState &state);
  void writeProperties(::mlir::DialectBytecodeWriter &writer);
  ::mlir::DenseIntElementsAttr getValueAttr() {
    return ::llvm::cast<::mlir::DenseIntElementsAttr>(getProperties().value);
  }

  ::mlir::DenseIntElementsAttr getValue();
  void setValueAttr(::mlir::DenseIntElementsAttr attr) {
    getProperties().value = attr;
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::DenseIntElementsAttr value);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::DenseIntElementsAttr value);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  ::llvm::LogicalResult verify();
  ::mlir::OpFoldResult fold(FoldAdaptor adaptor);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
private:
  ::mlir::StringAttr getAttributeNameForIndex(unsigned index) {
    return getAttributeNameForIndex((*this)->getName(), index);
  }

  static ::mlir::StringAttr getAttributeNameForIndex(::mlir::OperationName name, unsigned index) {
    assert(index < 1 && "invalid attribute index");
    assert(name.getStringRef() == getOperationName() && "invalid operation name");
    assert(name.isRegistered() && "Operation isn't registered, missing a "
          "dependent dialect loading?");
    return name.getAttributeNames()[index];
  }

public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::ConstShapeOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::Conv2DOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class Conv2DOpGenericAdaptorBase {
public:
  struct Properties {
    using acc_typeTy = ::mlir::TypeAttr;
    acc_typeTy acc_type;

    auto getAccType() {
      auto &propStorage = this->acc_type;
      return ::llvm::cast<::mlir::TypeAttr>(propStorage);
    }
    void setAccType(const ::mlir::TypeAttr &propValue) {
      this->acc_type = propValue;
    }
    using dilationTy = ::mlir::DenseI64ArrayAttr;
    dilationTy dilation;

    auto getDilation() {
      auto &propStorage = this->dilation;
      return ::llvm::cast<::mlir::DenseI64ArrayAttr>(propStorage);
    }
    void setDilation(const ::mlir::DenseI64ArrayAttr &propValue) {
      this->dilation = propValue;
    }
    using local_boundTy = ::mlir::BoolAttr;
    local_boundTy local_bound;

    auto getLocalBound() {
      auto &propStorage = this->local_bound;
      return ::llvm::dyn_cast_or_null<::mlir::BoolAttr>(propStorage);
    }
    void setLocalBound(const ::mlir::BoolAttr &propValue) {
      this->local_bound = propValue;
    }
    using padTy = ::mlir::DenseI64ArrayAttr;
    padTy pad;

    auto getPad() {
      auto &propStorage = this->pad;
      return ::llvm::cast<::mlir::DenseI64ArrayAttr>(propStorage);
    }
    void setPad(const ::mlir::DenseI64ArrayAttr &propValue) {
      this->pad = propValue;
    }
    using quantization_infoTy = mlir::tosa::ConvOpQuantizationAttr;
    quantization_infoTy quantization_info;

    auto getQuantizationInfo() {
      auto &propStorage = this->quantization_info;
      return ::llvm::dyn_cast_or_null<mlir::tosa::ConvOpQuantizationAttr>(propStorage);
    }
    void setQuantizationInfo(const mlir::tosa::ConvOpQuantizationAttr &propValue) {
      this->quantization_info = propValue;
    }
    using strideTy = ::mlir::DenseI64ArrayAttr;
    strideTy stride;

    auto getStride() {
      auto &propStorage = this->stride;
      return ::llvm::cast<::mlir::DenseI64ArrayAttr>(propStorage);
    }
    void setStride(const ::mlir::DenseI64ArrayAttr &propValue) {
      this->stride = propValue;
    }
    bool operator==(const Properties &rhs) const {
      return 
        rhs.acc_type == this->acc_type &&
        rhs.dilation == this->dilation &&
        rhs.local_bound == this->local_bound &&
        rhs.pad == this->pad &&
        rhs.quantization_info == this->quantization_info &&
        rhs.stride == this->stride &&
        true;
    }
    bool operator!=(const Properties &rhs) const {
      return !(*this == rhs);
    }
  };
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  Properties properties;
  ::mlir::RegionRange odsRegions;
public:
  Conv2DOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.conv2d", odsAttrs.getContext());
  }

  Conv2DOpGenericAdaptorBase(Conv2DOp op);

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  const Properties &getProperties() {
    return properties;
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

  ::mlir::DenseI64ArrayAttr getPadAttr() {
    auto attr = ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().pad);
    return attr;
  }

  ::llvm::ArrayRef<int64_t> getPad();
  ::mlir::DenseI64ArrayAttr getStrideAttr() {
    auto attr = ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().stride);
    return attr;
  }

  ::llvm::ArrayRef<int64_t> getStride();
  ::mlir::DenseI64ArrayAttr getDilationAttr() {
    auto attr = ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().dilation);
    return attr;
  }

  ::llvm::ArrayRef<int64_t> getDilation();
  ::mlir::TypeAttr getAccTypeAttr() {
    auto attr = ::llvm::cast<::mlir::TypeAttr>(getProperties().acc_type);
    return attr;
  }

  ::mlir::Type getAccType();
  mlir::tosa::ConvOpQuantizationAttr getQuantizationInfoAttr() {
    auto attr = ::llvm::dyn_cast_or_null<mlir::tosa::ConvOpQuantizationAttr>(getProperties().quantization_info);
    return attr;
  }

  ::std::optional<mlir::tosa::ConvOpQuantizationAttr> getQuantizationInfo();
  ::mlir::BoolAttr getLocalBoundAttr();
  bool getLocalBound();
};
} // namespace detail
template <typename RangeT>
class Conv2DOpGenericAdaptor : public detail::Conv2DOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::Conv2DOpGenericAdaptorBase;
public:
  Conv2DOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  Conv2DOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : Conv2DOpGenericAdaptor(values, attrs, (properties ? *properties.as<Properties *>() : Properties{}), regions) {}

  Conv2DOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = nullptr) : Conv2DOpGenericAdaptor(values, attrs, Properties{}, {}) {}

  Conv2DOpGenericAdaptor(RangeT values, const Conv2DOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = Conv2DOp, typename = std::enable_if_t<std::is_same_v<LateInst, Conv2DOp>>>
  Conv2DOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput() {
    return (*getODSOperands(0).begin());
  }

  ValueT getWeight() {
    return (*getODSOperands(1).begin());
  }

  ValueT getBias() {
    return (*getODSOperands(2).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class Conv2DOpAdaptor : public Conv2DOpGenericAdaptor<::mlir::ValueRange> {
public:
  using Conv2DOpGenericAdaptor::Conv2DOpGenericAdaptor;
  Conv2DOpAdaptor(Conv2DOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class Conv2DOp : public ::mlir::Op<Conv2DOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::NOperands<3>::Impl, ::mlir::OpTrait::OpInvariants, ::mlir::BytecodeOpInterface::Trait, ::mlir::InferShapedTypeOpInterface::Trait, ::mlir::OpTrait::InferShapedTypeOpAdaptor, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = Conv2DOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = Conv2DOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    static ::llvm::StringRef attrNames[] = {::llvm::StringRef("acc_type"), ::llvm::StringRef("dilation"), ::llvm::StringRef("local_bound"), ::llvm::StringRef("pad"), ::llvm::StringRef("quantization_info"), ::llvm::StringRef("stride")};
    return ::llvm::ArrayRef(attrNames);
  }

  ::mlir::StringAttr getAccTypeAttrName() {
    return getAttributeNameForIndex(0);
  }

  static ::mlir::StringAttr getAccTypeAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 0);
  }

  ::mlir::StringAttr getDilationAttrName() {
    return getAttributeNameForIndex(1);
  }

  static ::mlir::StringAttr getDilationAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 1);
  }

  ::mlir::StringAttr getLocalBoundAttrName() {
    return getAttributeNameForIndex(2);
  }

  static ::mlir::StringAttr getLocalBoundAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 2);
  }

  ::mlir::StringAttr getPadAttrName() {
    return getAttributeNameForIndex(3);
  }

  static ::mlir::StringAttr getPadAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 3);
  }

  ::mlir::StringAttr getQuantizationInfoAttrName() {
    return getAttributeNameForIndex(4);
  }

  static ::mlir::StringAttr getQuantizationInfoAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 4);
  }

  ::mlir::StringAttr getStrideAttrName() {
    return getAttributeNameForIndex(5);
  }

  static ::mlir::StringAttr getStrideAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 5);
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.conv2d");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::TypedValue<::mlir::RankedTensorType> getWeight() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::RankedTensorType>>(*getODSOperands(1).begin());
  }

  ::mlir::TypedValue<::mlir::TensorType> getBias() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(2).begin());
  }

  ::mlir::OpOperand &getInputMutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getWeightMutable() {
    auto range = getODSOperandIndexAndLength(1);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getBiasMutable() {
    auto range = getODSOperandIndexAndLength(2);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static ::llvm::LogicalResult setPropertiesFromAttr(Properties &prop, ::mlir::Attribute attr, ::llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::mlir::Attribute getPropertiesAsAttr(::mlir::MLIRContext *ctx, const Properties &prop);
  static llvm::hash_code computePropertiesHash(const Properties &prop);
  static std::optional<mlir::Attribute> getInherentAttr(::mlir::MLIRContext *ctx, const Properties &prop, llvm::StringRef name);
  static void setInherentAttr(Properties &prop, llvm::StringRef name, mlir::Attribute value);
  static void populateInherentAttrs(::mlir::MLIRContext *ctx, const Properties &prop, ::mlir::NamedAttrList &attrs);
  static ::llvm::LogicalResult verifyInherentAttrs(::mlir::OperationName opName, ::mlir::NamedAttrList &attrs, llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::llvm::LogicalResult readProperties(::mlir::DialectBytecodeReader &reader, ::mlir::OperationState &state);
  void writeProperties(::mlir::DialectBytecodeWriter &writer);
  ::mlir::DenseI64ArrayAttr getPadAttr() {
    return ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().pad);
  }

  ::llvm::ArrayRef<int64_t> getPad();
  ::mlir::DenseI64ArrayAttr getStrideAttr() {
    return ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().stride);
  }

  ::llvm::ArrayRef<int64_t> getStride();
  ::mlir::DenseI64ArrayAttr getDilationAttr() {
    return ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().dilation);
  }

  ::llvm::ArrayRef<int64_t> getDilation();
  ::mlir::TypeAttr getAccTypeAttr() {
    return ::llvm::cast<::mlir::TypeAttr>(getProperties().acc_type);
  }

  ::mlir::Type getAccType();
  mlir::tosa::ConvOpQuantizationAttr getQuantizationInfoAttr() {
    return ::llvm::dyn_cast_or_null<mlir::tosa::ConvOpQuantizationAttr>(getProperties().quantization_info);
  }

  ::std::optional<mlir::tosa::ConvOpQuantizationAttr> getQuantizationInfo();
  ::mlir::BoolAttr getLocalBoundAttr() {
    return ::llvm::dyn_cast_or_null<::mlir::BoolAttr>(getProperties().local_bound);
  }

  bool getLocalBound();
  void setPadAttr(::mlir::DenseI64ArrayAttr attr) {
    getProperties().pad = attr;
  }

  void setPad(::llvm::ArrayRef<int64_t> attrValue);
  void setStrideAttr(::mlir::DenseI64ArrayAttr attr) {
    getProperties().stride = attr;
  }

  void setStride(::llvm::ArrayRef<int64_t> attrValue);
  void setDilationAttr(::mlir::DenseI64ArrayAttr attr) {
    getProperties().dilation = attr;
  }

  void setDilation(::llvm::ArrayRef<int64_t> attrValue);
  void setAccTypeAttr(::mlir::TypeAttr attr) {
    getProperties().acc_type = attr;
  }

  void setAccType(::mlir::Type attrValue);
  void setQuantizationInfoAttr(mlir::tosa::ConvOpQuantizationAttr attr) {
    getProperties().quantization_info = attr;
  }

  void setLocalBoundAttr(::mlir::BoolAttr attr) {
    getProperties().local_bound = attr;
  }

  void setLocalBound(::std::optional<bool> attrValue);
  ::mlir::Attribute removeQuantizationInfoAttr() {
      auto &attr = getProperties().quantization_info;
      attr = {};
      return attr;
  }

  ::mlir::Attribute removeLocalBoundAttr() {
      auto &attr = getProperties().local_bound;
      attr = {};
      return attr;
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type outputType, ::mlir::Value input, ::mlir::Value weight, ::mlir::Value bias, ::mlir::DenseI64ArrayAttr pad, ::mlir::DenseI64ArrayAttr stride, ::mlir::DenseI64ArrayAttr dilation, ::mlir::TypeAttr acc_type);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input, ::mlir::Value weight, ::mlir::Value bias, ::mlir::DenseI64ArrayAttr pad, ::mlir::DenseI64ArrayAttr stride, ::mlir::DenseI64ArrayAttr dilation, ::mlir::TypeAttr acc_type, /*optional*/mlir::tosa::ConvOpQuantizationAttr quantization_info, /*optional*/::mlir::BoolAttr local_bound = nullptr);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input, ::mlir::Value weight, ::mlir::Value bias, ::mlir::DenseI64ArrayAttr pad, ::mlir::DenseI64ArrayAttr stride, ::mlir::DenseI64ArrayAttr dilation, ::mlir::TypeAttr acc_type, /*optional*/mlir::tosa::ConvOpQuantizationAttr quantization_info, /*optional*/::mlir::BoolAttr local_bound = nullptr);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input, ::mlir::Value weight, ::mlir::Value bias, ::llvm::ArrayRef<int64_t> pad, ::llvm::ArrayRef<int64_t> stride, ::llvm::ArrayRef<int64_t> dilation, ::mlir::Type acc_type, /*optional*/mlir::tosa::ConvOpQuantizationAttr quantization_info, /*optional*/bool local_bound = false);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input, ::mlir::Value weight, ::mlir::Value bias, ::llvm::ArrayRef<int64_t> pad, ::llvm::ArrayRef<int64_t> stride, ::llvm::ArrayRef<int64_t> dilation, ::mlir::Type acc_type, /*optional*/mlir::tosa::ConvOpQuantizationAttr quantization_info, /*optional*/bool local_bound = false);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  ::llvm::LogicalResult verify();
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
private:
  ::mlir::StringAttr getAttributeNameForIndex(unsigned index) {
    return getAttributeNameForIndex((*this)->getName(), index);
  }

  static ::mlir::StringAttr getAttributeNameForIndex(::mlir::OperationName name, unsigned index) {
    assert(index < 6 && "invalid attribute index");
    assert(name.getStringRef() == getOperationName() && "invalid operation name");
    assert(name.isRegistered() && "Operation isn't registered, missing a "
          "dependent dialect loading?");
    return name.getAttributeNames()[index];
  }

public:
  static ::llvm::LogicalResult
  inferReturnTypeComponents(::mlir::MLIRContext *context,
                          std::optional<::mlir::Location> location,
                          Adaptor adaptor,
                          ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents> &inferredReturnShapes);

};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::Conv2DOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::Conv3DOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class Conv3DOpGenericAdaptorBase {
public:
  struct Properties {
    using acc_typeTy = ::mlir::TypeAttr;
    acc_typeTy acc_type;

    auto getAccType() {
      auto &propStorage = this->acc_type;
      return ::llvm::cast<::mlir::TypeAttr>(propStorage);
    }
    void setAccType(const ::mlir::TypeAttr &propValue) {
      this->acc_type = propValue;
    }
    using dilationTy = ::mlir::DenseI64ArrayAttr;
    dilationTy dilation;

    auto getDilation() {
      auto &propStorage = this->dilation;
      return ::llvm::cast<::mlir::DenseI64ArrayAttr>(propStorage);
    }
    void setDilation(const ::mlir::DenseI64ArrayAttr &propValue) {
      this->dilation = propValue;
    }
    using local_boundTy = ::mlir::BoolAttr;
    local_boundTy local_bound;

    auto getLocalBound() {
      auto &propStorage = this->local_bound;
      return ::llvm::dyn_cast_or_null<::mlir::BoolAttr>(propStorage);
    }
    void setLocalBound(const ::mlir::BoolAttr &propValue) {
      this->local_bound = propValue;
    }
    using padTy = ::mlir::DenseI64ArrayAttr;
    padTy pad;

    auto getPad() {
      auto &propStorage = this->pad;
      return ::llvm::cast<::mlir::DenseI64ArrayAttr>(propStorage);
    }
    void setPad(const ::mlir::DenseI64ArrayAttr &propValue) {
      this->pad = propValue;
    }
    using quantization_infoTy = mlir::tosa::ConvOpQuantizationAttr;
    quantization_infoTy quantization_info;

    auto getQuantizationInfo() {
      auto &propStorage = this->quantization_info;
      return ::llvm::dyn_cast_or_null<mlir::tosa::ConvOpQuantizationAttr>(propStorage);
    }
    void setQuantizationInfo(const mlir::tosa::ConvOpQuantizationAttr &propValue) {
      this->quantization_info = propValue;
    }
    using strideTy = ::mlir::DenseI64ArrayAttr;
    strideTy stride;

    auto getStride() {
      auto &propStorage = this->stride;
      return ::llvm::cast<::mlir::DenseI64ArrayAttr>(propStorage);
    }
    void setStride(const ::mlir::DenseI64ArrayAttr &propValue) {
      this->stride = propValue;
    }
    bool operator==(const Properties &rhs) const {
      return 
        rhs.acc_type == this->acc_type &&
        rhs.dilation == this->dilation &&
        rhs.local_bound == this->local_bound &&
        rhs.pad == this->pad &&
        rhs.quantization_info == this->quantization_info &&
        rhs.stride == this->stride &&
        true;
    }
    bool operator!=(const Properties &rhs) const {
      return !(*this == rhs);
    }
  };
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  Properties properties;
  ::mlir::RegionRange odsRegions;
public:
  Conv3DOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.conv3d", odsAttrs.getContext());
  }

  Conv3DOpGenericAdaptorBase(Conv3DOp op);

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  const Properties &getProperties() {
    return properties;
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

  ::mlir::DenseI64ArrayAttr getPadAttr() {
    auto attr = ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().pad);
    return attr;
  }

  ::llvm::ArrayRef<int64_t> getPad();
  ::mlir::DenseI64ArrayAttr getStrideAttr() {
    auto attr = ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().stride);
    return attr;
  }

  ::llvm::ArrayRef<int64_t> getStride();
  ::mlir::DenseI64ArrayAttr getDilationAttr() {
    auto attr = ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().dilation);
    return attr;
  }

  ::llvm::ArrayRef<int64_t> getDilation();
  ::mlir::TypeAttr getAccTypeAttr() {
    auto attr = ::llvm::cast<::mlir::TypeAttr>(getProperties().acc_type);
    return attr;
  }

  ::mlir::Type getAccType();
  mlir::tosa::ConvOpQuantizationAttr getQuantizationInfoAttr() {
    auto attr = ::llvm::dyn_cast_or_null<mlir::tosa::ConvOpQuantizationAttr>(getProperties().quantization_info);
    return attr;
  }

  ::std::optional<mlir::tosa::ConvOpQuantizationAttr> getQuantizationInfo();
  ::mlir::BoolAttr getLocalBoundAttr();
  bool getLocalBound();
};
} // namespace detail
template <typename RangeT>
class Conv3DOpGenericAdaptor : public detail::Conv3DOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::Conv3DOpGenericAdaptorBase;
public:
  Conv3DOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  Conv3DOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : Conv3DOpGenericAdaptor(values, attrs, (properties ? *properties.as<Properties *>() : Properties{}), regions) {}

  Conv3DOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = nullptr) : Conv3DOpGenericAdaptor(values, attrs, Properties{}, {}) {}

  Conv3DOpGenericAdaptor(RangeT values, const Conv3DOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = Conv3DOp, typename = std::enable_if_t<std::is_same_v<LateInst, Conv3DOp>>>
  Conv3DOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput() {
    return (*getODSOperands(0).begin());
  }

  ValueT getWeight() {
    return (*getODSOperands(1).begin());
  }

  ValueT getBias() {
    return (*getODSOperands(2).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class Conv3DOpAdaptor : public Conv3DOpGenericAdaptor<::mlir::ValueRange> {
public:
  using Conv3DOpGenericAdaptor::Conv3DOpGenericAdaptor;
  Conv3DOpAdaptor(Conv3DOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class Conv3DOp : public ::mlir::Op<Conv3DOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::NOperands<3>::Impl, ::mlir::OpTrait::OpInvariants, ::mlir::BytecodeOpInterface::Trait, ::mlir::InferShapedTypeOpInterface::Trait, ::mlir::OpTrait::InferShapedTypeOpAdaptor, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = Conv3DOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = Conv3DOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    static ::llvm::StringRef attrNames[] = {::llvm::StringRef("acc_type"), ::llvm::StringRef("dilation"), ::llvm::StringRef("local_bound"), ::llvm::StringRef("pad"), ::llvm::StringRef("quantization_info"), ::llvm::StringRef("stride")};
    return ::llvm::ArrayRef(attrNames);
  }

  ::mlir::StringAttr getAccTypeAttrName() {
    return getAttributeNameForIndex(0);
  }

  static ::mlir::StringAttr getAccTypeAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 0);
  }

  ::mlir::StringAttr getDilationAttrName() {
    return getAttributeNameForIndex(1);
  }

  static ::mlir::StringAttr getDilationAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 1);
  }

  ::mlir::StringAttr getLocalBoundAttrName() {
    return getAttributeNameForIndex(2);
  }

  static ::mlir::StringAttr getLocalBoundAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 2);
  }

  ::mlir::StringAttr getPadAttrName() {
    return getAttributeNameForIndex(3);
  }

  static ::mlir::StringAttr getPadAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 3);
  }

  ::mlir::StringAttr getQuantizationInfoAttrName() {
    return getAttributeNameForIndex(4);
  }

  static ::mlir::StringAttr getQuantizationInfoAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 4);
  }

  ::mlir::StringAttr getStrideAttrName() {
    return getAttributeNameForIndex(5);
  }

  static ::mlir::StringAttr getStrideAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 5);
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.conv3d");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::TypedValue<::mlir::RankedTensorType> getWeight() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::RankedTensorType>>(*getODSOperands(1).begin());
  }

  ::mlir::TypedValue<::mlir::TensorType> getBias() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(2).begin());
  }

  ::mlir::OpOperand &getInputMutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getWeightMutable() {
    auto range = getODSOperandIndexAndLength(1);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getBiasMutable() {
    auto range = getODSOperandIndexAndLength(2);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static ::llvm::LogicalResult setPropertiesFromAttr(Properties &prop, ::mlir::Attribute attr, ::llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::mlir::Attribute getPropertiesAsAttr(::mlir::MLIRContext *ctx, const Properties &prop);
  static llvm::hash_code computePropertiesHash(const Properties &prop);
  static std::optional<mlir::Attribute> getInherentAttr(::mlir::MLIRContext *ctx, const Properties &prop, llvm::StringRef name);
  static void setInherentAttr(Properties &prop, llvm::StringRef name, mlir::Attribute value);
  static void populateInherentAttrs(::mlir::MLIRContext *ctx, const Properties &prop, ::mlir::NamedAttrList &attrs);
  static ::llvm::LogicalResult verifyInherentAttrs(::mlir::OperationName opName, ::mlir::NamedAttrList &attrs, llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::llvm::LogicalResult readProperties(::mlir::DialectBytecodeReader &reader, ::mlir::OperationState &state);
  void writeProperties(::mlir::DialectBytecodeWriter &writer);
  ::mlir::DenseI64ArrayAttr getPadAttr() {
    return ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().pad);
  }

  ::llvm::ArrayRef<int64_t> getPad();
  ::mlir::DenseI64ArrayAttr getStrideAttr() {
    return ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().stride);
  }

  ::llvm::ArrayRef<int64_t> getStride();
  ::mlir::DenseI64ArrayAttr getDilationAttr() {
    return ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().dilation);
  }

  ::llvm::ArrayRef<int64_t> getDilation();
  ::mlir::TypeAttr getAccTypeAttr() {
    return ::llvm::cast<::mlir::TypeAttr>(getProperties().acc_type);
  }

  ::mlir::Type getAccType();
  mlir::tosa::ConvOpQuantizationAttr getQuantizationInfoAttr() {
    return ::llvm::dyn_cast_or_null<mlir::tosa::ConvOpQuantizationAttr>(getProperties().quantization_info);
  }

  ::std::optional<mlir::tosa::ConvOpQuantizationAttr> getQuantizationInfo();
  ::mlir::BoolAttr getLocalBoundAttr() {
    return ::llvm::dyn_cast_or_null<::mlir::BoolAttr>(getProperties().local_bound);
  }

  bool getLocalBound();
  void setPadAttr(::mlir::DenseI64ArrayAttr attr) {
    getProperties().pad = attr;
  }

  void setPad(::llvm::ArrayRef<int64_t> attrValue);
  void setStrideAttr(::mlir::DenseI64ArrayAttr attr) {
    getProperties().stride = attr;
  }

  void setStride(::llvm::ArrayRef<int64_t> attrValue);
  void setDilationAttr(::mlir::DenseI64ArrayAttr attr) {
    getProperties().dilation = attr;
  }

  void setDilation(::llvm::ArrayRef<int64_t> attrValue);
  void setAccTypeAttr(::mlir::TypeAttr attr) {
    getProperties().acc_type = attr;
  }

  void setAccType(::mlir::Type attrValue);
  void setQuantizationInfoAttr(mlir::tosa::ConvOpQuantizationAttr attr) {
    getProperties().quantization_info = attr;
  }

  void setLocalBoundAttr(::mlir::BoolAttr attr) {
    getProperties().local_bound = attr;
  }

  void setLocalBound(::std::optional<bool> attrValue);
  ::mlir::Attribute removeQuantizationInfoAttr() {
      auto &attr = getProperties().quantization_info;
      attr = {};
      return attr;
  }

  ::mlir::Attribute removeLocalBoundAttr() {
      auto &attr = getProperties().local_bound;
      attr = {};
      return attr;
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type outputType, ::mlir::Value input, ::mlir::Value weight, ::mlir::Value bias, ::mlir::DenseI64ArrayAttr pad, ::mlir::DenseI64ArrayAttr stride, ::mlir::DenseI64ArrayAttr dilation, ::mlir::TypeAttr acc_type);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input, ::mlir::Value weight, ::mlir::Value bias, ::mlir::DenseI64ArrayAttr pad, ::mlir::DenseI64ArrayAttr stride, ::mlir::DenseI64ArrayAttr dilation, ::mlir::TypeAttr acc_type, /*optional*/mlir::tosa::ConvOpQuantizationAttr quantization_info, /*optional*/::mlir::BoolAttr local_bound = nullptr);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input, ::mlir::Value weight, ::mlir::Value bias, ::mlir::DenseI64ArrayAttr pad, ::mlir::DenseI64ArrayAttr stride, ::mlir::DenseI64ArrayAttr dilation, ::mlir::TypeAttr acc_type, /*optional*/mlir::tosa::ConvOpQuantizationAttr quantization_info, /*optional*/::mlir::BoolAttr local_bound = nullptr);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input, ::mlir::Value weight, ::mlir::Value bias, ::llvm::ArrayRef<int64_t> pad, ::llvm::ArrayRef<int64_t> stride, ::llvm::ArrayRef<int64_t> dilation, ::mlir::Type acc_type, /*optional*/mlir::tosa::ConvOpQuantizationAttr quantization_info, /*optional*/bool local_bound = false);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input, ::mlir::Value weight, ::mlir::Value bias, ::llvm::ArrayRef<int64_t> pad, ::llvm::ArrayRef<int64_t> stride, ::llvm::ArrayRef<int64_t> dilation, ::mlir::Type acc_type, /*optional*/mlir::tosa::ConvOpQuantizationAttr quantization_info, /*optional*/bool local_bound = false);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  ::llvm::LogicalResult verify();
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
private:
  ::mlir::StringAttr getAttributeNameForIndex(unsigned index) {
    return getAttributeNameForIndex((*this)->getName(), index);
  }

  static ::mlir::StringAttr getAttributeNameForIndex(::mlir::OperationName name, unsigned index) {
    assert(index < 6 && "invalid attribute index");
    assert(name.getStringRef() == getOperationName() && "invalid operation name");
    assert(name.isRegistered() && "Operation isn't registered, missing a "
          "dependent dialect loading?");
    return name.getAttributeNames()[index];
  }

public:
  static ::llvm::LogicalResult
  inferReturnTypeComponents(::mlir::MLIRContext *context,
                          std::optional<::mlir::Location> location,
                          Adaptor adaptor,
                          ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents> &inferredReturnShapes);

};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::Conv3DOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::CosOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class CosOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  CosOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.cos", odsAttrs.getContext());
  }

  CosOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

};
} // namespace detail
template <typename RangeT>
class CosOpGenericAdaptor : public detail::CosOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::CosOpGenericAdaptorBase;
public:
  CosOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  CosOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : CosOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  CosOpGenericAdaptor(RangeT values, const CosOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = CosOp, typename = std::enable_if_t<std::is_same_v<LateInst, CosOp>>>
  CosOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput1() {
    return (*getODSOperands(0).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class CosOpAdaptor : public CosOpGenericAdaptor<::mlir::ValueRange> {
public:
  using CosOpGenericAdaptor::CosOpGenericAdaptor;
  CosOpAdaptor(CosOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class CosOp : public ::mlir::Op<CosOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::OneOperand, ::mlir::OpTrait::OpInvariants, ::mlir::OpTrait::SameOperandsAndResultShape, ::mlir::OpTrait::ResultsBroadcastableShape, ::mlir::OpTrait::SameOperandsAndResultRank, ::mlir::OpTrait::SameOperandsAndResultElementType, ::mlir::InferShapedTypeOpInterface::Trait, mlir::OpTrait::tosa::TosaElementwiseOperator, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = CosOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = CosOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.cos");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput1() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::OpOperand &getInput1Mutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::CosOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::CustomOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class CustomOpGenericAdaptorBase {
public:
  struct Properties {
    using domain_nameTy = ::mlir::StringAttr;
    domain_nameTy domain_name;

    auto getDomainName() {
      auto &propStorage = this->domain_name;
      return ::llvm::cast<::mlir::StringAttr>(propStorage);
    }
    void setDomainName(const ::mlir::StringAttr &propValue) {
      this->domain_name = propValue;
    }
    using implementation_attrsTy = ::mlir::StringAttr;
    implementation_attrsTy implementation_attrs;

    auto getImplementationAttrs() {
      auto &propStorage = this->implementation_attrs;
      return ::llvm::cast<::mlir::StringAttr>(propStorage);
    }
    void setImplementationAttrs(const ::mlir::StringAttr &propValue) {
      this->implementation_attrs = propValue;
    }
    using operator_nameTy = ::mlir::StringAttr;
    operator_nameTy operator_name;

    auto getOperatorName() {
      auto &propStorage = this->operator_name;
      return ::llvm::cast<::mlir::StringAttr>(propStorage);
    }
    void setOperatorName(const ::mlir::StringAttr &propValue) {
      this->operator_name = propValue;
    }
    bool operator==(const Properties &rhs) const {
      return 
        rhs.domain_name == this->domain_name &&
        rhs.implementation_attrs == this->implementation_attrs &&
        rhs.operator_name == this->operator_name &&
        true;
    }
    bool operator!=(const Properties &rhs) const {
      return !(*this == rhs);
    }
  };
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  Properties properties;
  ::mlir::RegionRange odsRegions;
public:
  CustomOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.custom", odsAttrs.getContext());
  }

  CustomOpGenericAdaptorBase(CustomOp op);

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize);
  const Properties &getProperties() {
    return properties;
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

  ::mlir::StringAttr getOperatorNameAttr() {
    auto attr = ::llvm::cast<::mlir::StringAttr>(getProperties().operator_name);
    return attr;
  }

  ::llvm::StringRef getOperatorName();
  ::mlir::StringAttr getDomainNameAttr() {
    auto attr = ::llvm::cast<::mlir::StringAttr>(getProperties().domain_name);
    return attr;
  }

  ::llvm::StringRef getDomainName();
  ::mlir::StringAttr getImplementationAttrsAttr() {
    auto attr = ::llvm::cast<::mlir::StringAttr>(getProperties().implementation_attrs);
    return attr;
  }

  ::llvm::StringRef getImplementationAttrs();
};
} // namespace detail
template <typename RangeT>
class CustomOpGenericAdaptor : public detail::CustomOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::CustomOpGenericAdaptorBase;
public:
  CustomOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  CustomOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : CustomOpGenericAdaptor(values, attrs, (properties ? *properties.as<Properties *>() : Properties{}), regions) {}

  CustomOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = nullptr) : CustomOpGenericAdaptor(values, attrs, Properties{}, {}) {}

  CustomOpGenericAdaptor(RangeT values, const CustomOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = CustomOp, typename = std::enable_if_t<std::is_same_v<LateInst, CustomOp>>>
  CustomOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  RangeT getInputList() {
    return getODSOperands(0);
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class CustomOpAdaptor : public CustomOpGenericAdaptor<::mlir::ValueRange> {
public:
  using CustomOpGenericAdaptor::CustomOpGenericAdaptor;
  CustomOpAdaptor(CustomOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class CustomOp : public ::mlir::Op<CustomOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::VariadicResults, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::VariadicOperands, ::mlir::OpTrait::OpInvariants, ::mlir::BytecodeOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = CustomOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = CustomOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    static ::llvm::StringRef attrNames[] = {::llvm::StringRef("domain_name"), ::llvm::StringRef("implementation_attrs"), ::llvm::StringRef("operator_name")};
    return ::llvm::ArrayRef(attrNames);
  }

  ::mlir::StringAttr getDomainNameAttrName() {
    return getAttributeNameForIndex(0);
  }

  static ::mlir::StringAttr getDomainNameAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 0);
  }

  ::mlir::StringAttr getImplementationAttrsAttrName() {
    return getAttributeNameForIndex(1);
  }

  static ::mlir::StringAttr getImplementationAttrsAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 1);
  }

  ::mlir::StringAttr getOperatorNameAttrName() {
    return getAttributeNameForIndex(2);
  }

  static ::mlir::StringAttr getOperatorNameAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 2);
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.custom");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index);
  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::Operation::operand_range getInputList() {
    return getODSOperands(0);
  }

  ::mlir::MutableOperandRange getInputListMutable();
  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index);
  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::Operation::result_range getOutputList() {
    return getODSResults(0);
  }

  static ::llvm::LogicalResult setPropertiesFromAttr(Properties &prop, ::mlir::Attribute attr, ::llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::mlir::Attribute getPropertiesAsAttr(::mlir::MLIRContext *ctx, const Properties &prop);
  static llvm::hash_code computePropertiesHash(const Properties &prop);
  static std::optional<mlir::Attribute> getInherentAttr(::mlir::MLIRContext *ctx, const Properties &prop, llvm::StringRef name);
  static void setInherentAttr(Properties &prop, llvm::StringRef name, mlir::Attribute value);
  static void populateInherentAttrs(::mlir::MLIRContext *ctx, const Properties &prop, ::mlir::NamedAttrList &attrs);
  static ::llvm::LogicalResult verifyInherentAttrs(::mlir::OperationName opName, ::mlir::NamedAttrList &attrs, llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::llvm::LogicalResult readProperties(::mlir::DialectBytecodeReader &reader, ::mlir::OperationState &state);
  void writeProperties(::mlir::DialectBytecodeWriter &writer);
  ::mlir::StringAttr getOperatorNameAttr() {
    return ::llvm::cast<::mlir::StringAttr>(getProperties().operator_name);
  }

  ::llvm::StringRef getOperatorName();
  ::mlir::StringAttr getDomainNameAttr() {
    return ::llvm::cast<::mlir::StringAttr>(getProperties().domain_name);
  }

  ::llvm::StringRef getDomainName();
  ::mlir::StringAttr getImplementationAttrsAttr() {
    return ::llvm::cast<::mlir::StringAttr>(getProperties().implementation_attrs);
  }

  ::llvm::StringRef getImplementationAttrs();
  void setOperatorNameAttr(::mlir::StringAttr attr) {
    getProperties().operator_name = attr;
  }

  void setOperatorName(::llvm::StringRef attrValue);
  void setDomainNameAttr(::mlir::StringAttr attr) {
    getProperties().domain_name = attr;
  }

  void setDomainName(::llvm::StringRef attrValue);
  void setImplementationAttrsAttr(::mlir::StringAttr attr) {
    getProperties().implementation_attrs = attr;
  }

  void setImplementationAttrs(::llvm::StringRef attrValue);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange output_list, ::mlir::StringAttr operator_name, ::mlir::StringAttr domain_name, ::mlir::StringAttr implementation_attrs, ::mlir::ValueRange input_list);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange output_list, ::llvm::StringRef operator_name, ::llvm::StringRef domain_name, ::llvm::StringRef implementation_attrs, ::mlir::ValueRange input_list);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
private:
  ::mlir::StringAttr getAttributeNameForIndex(unsigned index) {
    return getAttributeNameForIndex((*this)->getName(), index);
  }

  static ::mlir::StringAttr getAttributeNameForIndex(::mlir::OperationName name, unsigned index) {
    assert(index < 3 && "invalid attribute index");
    assert(name.getStringRef() == getOperationName() && "invalid operation name");
    assert(name.isRegistered() && "Operation isn't registered, missing a "
          "dependent dialect loading?");
    return name.getAttributeNames()[index];
  }

public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::CustomOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::DepthwiseConv2DOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class DepthwiseConv2DOpGenericAdaptorBase {
public:
  struct Properties {
    using acc_typeTy = ::mlir::TypeAttr;
    acc_typeTy acc_type;

    auto getAccType() {
      auto &propStorage = this->acc_type;
      return ::llvm::cast<::mlir::TypeAttr>(propStorage);
    }
    void setAccType(const ::mlir::TypeAttr &propValue) {
      this->acc_type = propValue;
    }
    using dilationTy = ::mlir::DenseI64ArrayAttr;
    dilationTy dilation;

    auto getDilation() {
      auto &propStorage = this->dilation;
      return ::llvm::cast<::mlir::DenseI64ArrayAttr>(propStorage);
    }
    void setDilation(const ::mlir::DenseI64ArrayAttr &propValue) {
      this->dilation = propValue;
    }
    using local_boundTy = ::mlir::BoolAttr;
    local_boundTy local_bound;

    auto getLocalBound() {
      auto &propStorage = this->local_bound;
      return ::llvm::dyn_cast_or_null<::mlir::BoolAttr>(propStorage);
    }
    void setLocalBound(const ::mlir::BoolAttr &propValue) {
      this->local_bound = propValue;
    }
    using padTy = ::mlir::DenseI64ArrayAttr;
    padTy pad;

    auto getPad() {
      auto &propStorage = this->pad;
      return ::llvm::cast<::mlir::DenseI64ArrayAttr>(propStorage);
    }
    void setPad(const ::mlir::DenseI64ArrayAttr &propValue) {
      this->pad = propValue;
    }
    using quantization_infoTy = mlir::tosa::ConvOpQuantizationAttr;
    quantization_infoTy quantization_info;

    auto getQuantizationInfo() {
      auto &propStorage = this->quantization_info;
      return ::llvm::dyn_cast_or_null<mlir::tosa::ConvOpQuantizationAttr>(propStorage);
    }
    void setQuantizationInfo(const mlir::tosa::ConvOpQuantizationAttr &propValue) {
      this->quantization_info = propValue;
    }
    using strideTy = ::mlir::DenseI64ArrayAttr;
    strideTy stride;

    auto getStride() {
      auto &propStorage = this->stride;
      return ::llvm::cast<::mlir::DenseI64ArrayAttr>(propStorage);
    }
    void setStride(const ::mlir::DenseI64ArrayAttr &propValue) {
      this->stride = propValue;
    }
    bool operator==(const Properties &rhs) const {
      return 
        rhs.acc_type == this->acc_type &&
        rhs.dilation == this->dilation &&
        rhs.local_bound == this->local_bound &&
        rhs.pad == this->pad &&
        rhs.quantization_info == this->quantization_info &&
        rhs.stride == this->stride &&
        true;
    }
    bool operator!=(const Properties &rhs) const {
      return !(*this == rhs);
    }
  };
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  Properties properties;
  ::mlir::RegionRange odsRegions;
public:
  DepthwiseConv2DOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.depthwise_conv2d", odsAttrs.getContext());
  }

  DepthwiseConv2DOpGenericAdaptorBase(DepthwiseConv2DOp op);

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  const Properties &getProperties() {
    return properties;
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

  ::mlir::DenseI64ArrayAttr getPadAttr() {
    auto attr = ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().pad);
    return attr;
  }

  ::llvm::ArrayRef<int64_t> getPad();
  ::mlir::DenseI64ArrayAttr getStrideAttr() {
    auto attr = ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().stride);
    return attr;
  }

  ::llvm::ArrayRef<int64_t> getStride();
  ::mlir::DenseI64ArrayAttr getDilationAttr() {
    auto attr = ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().dilation);
    return attr;
  }

  ::llvm::ArrayRef<int64_t> getDilation();
  ::mlir::TypeAttr getAccTypeAttr() {
    auto attr = ::llvm::cast<::mlir::TypeAttr>(getProperties().acc_type);
    return attr;
  }

  ::mlir::Type getAccType();
  mlir::tosa::ConvOpQuantizationAttr getQuantizationInfoAttr() {
    auto attr = ::llvm::dyn_cast_or_null<mlir::tosa::ConvOpQuantizationAttr>(getProperties().quantization_info);
    return attr;
  }

  ::std::optional<mlir::tosa::ConvOpQuantizationAttr> getQuantizationInfo();
  ::mlir::BoolAttr getLocalBoundAttr();
  bool getLocalBound();
};
} // namespace detail
template <typename RangeT>
class DepthwiseConv2DOpGenericAdaptor : public detail::DepthwiseConv2DOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::DepthwiseConv2DOpGenericAdaptorBase;
public:
  DepthwiseConv2DOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  DepthwiseConv2DOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : DepthwiseConv2DOpGenericAdaptor(values, attrs, (properties ? *properties.as<Properties *>() : Properties{}), regions) {}

  DepthwiseConv2DOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = nullptr) : DepthwiseConv2DOpGenericAdaptor(values, attrs, Properties{}, {}) {}

  DepthwiseConv2DOpGenericAdaptor(RangeT values, const DepthwiseConv2DOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = DepthwiseConv2DOp, typename = std::enable_if_t<std::is_same_v<LateInst, DepthwiseConv2DOp>>>
  DepthwiseConv2DOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput() {
    return (*getODSOperands(0).begin());
  }

  ValueT getWeight() {
    return (*getODSOperands(1).begin());
  }

  ValueT getBias() {
    return (*getODSOperands(2).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class DepthwiseConv2DOpAdaptor : public DepthwiseConv2DOpGenericAdaptor<::mlir::ValueRange> {
public:
  using DepthwiseConv2DOpGenericAdaptor::DepthwiseConv2DOpGenericAdaptor;
  DepthwiseConv2DOpAdaptor(DepthwiseConv2DOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class DepthwiseConv2DOp : public ::mlir::Op<DepthwiseConv2DOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::NOperands<3>::Impl, ::mlir::OpTrait::OpInvariants, ::mlir::BytecodeOpInterface::Trait, ::mlir::InferShapedTypeOpInterface::Trait, ::mlir::OpTrait::InferShapedTypeOpAdaptor, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = DepthwiseConv2DOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = DepthwiseConv2DOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    static ::llvm::StringRef attrNames[] = {::llvm::StringRef("acc_type"), ::llvm::StringRef("dilation"), ::llvm::StringRef("local_bound"), ::llvm::StringRef("pad"), ::llvm::StringRef("quantization_info"), ::llvm::StringRef("stride")};
    return ::llvm::ArrayRef(attrNames);
  }

  ::mlir::StringAttr getAccTypeAttrName() {
    return getAttributeNameForIndex(0);
  }

  static ::mlir::StringAttr getAccTypeAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 0);
  }

  ::mlir::StringAttr getDilationAttrName() {
    return getAttributeNameForIndex(1);
  }

  static ::mlir::StringAttr getDilationAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 1);
  }

  ::mlir::StringAttr getLocalBoundAttrName() {
    return getAttributeNameForIndex(2);
  }

  static ::mlir::StringAttr getLocalBoundAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 2);
  }

  ::mlir::StringAttr getPadAttrName() {
    return getAttributeNameForIndex(3);
  }

  static ::mlir::StringAttr getPadAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 3);
  }

  ::mlir::StringAttr getQuantizationInfoAttrName() {
    return getAttributeNameForIndex(4);
  }

  static ::mlir::StringAttr getQuantizationInfoAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 4);
  }

  ::mlir::StringAttr getStrideAttrName() {
    return getAttributeNameForIndex(5);
  }

  static ::mlir::StringAttr getStrideAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 5);
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.depthwise_conv2d");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::TypedValue<::mlir::RankedTensorType> getWeight() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::RankedTensorType>>(*getODSOperands(1).begin());
  }

  ::mlir::TypedValue<::mlir::TensorType> getBias() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(2).begin());
  }

  ::mlir::OpOperand &getInputMutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getWeightMutable() {
    auto range = getODSOperandIndexAndLength(1);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getBiasMutable() {
    auto range = getODSOperandIndexAndLength(2);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static ::llvm::LogicalResult setPropertiesFromAttr(Properties &prop, ::mlir::Attribute attr, ::llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::mlir::Attribute getPropertiesAsAttr(::mlir::MLIRContext *ctx, const Properties &prop);
  static llvm::hash_code computePropertiesHash(const Properties &prop);
  static std::optional<mlir::Attribute> getInherentAttr(::mlir::MLIRContext *ctx, const Properties &prop, llvm::StringRef name);
  static void setInherentAttr(Properties &prop, llvm::StringRef name, mlir::Attribute value);
  static void populateInherentAttrs(::mlir::MLIRContext *ctx, const Properties &prop, ::mlir::NamedAttrList &attrs);
  static ::llvm::LogicalResult verifyInherentAttrs(::mlir::OperationName opName, ::mlir::NamedAttrList &attrs, llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::llvm::LogicalResult readProperties(::mlir::DialectBytecodeReader &reader, ::mlir::OperationState &state);
  void writeProperties(::mlir::DialectBytecodeWriter &writer);
  ::mlir::DenseI64ArrayAttr getPadAttr() {
    return ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().pad);
  }

  ::llvm::ArrayRef<int64_t> getPad();
  ::mlir::DenseI64ArrayAttr getStrideAttr() {
    return ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().stride);
  }

  ::llvm::ArrayRef<int64_t> getStride();
  ::mlir::DenseI64ArrayAttr getDilationAttr() {
    return ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().dilation);
  }

  ::llvm::ArrayRef<int64_t> getDilation();
  ::mlir::TypeAttr getAccTypeAttr() {
    return ::llvm::cast<::mlir::TypeAttr>(getProperties().acc_type);
  }

  ::mlir::Type getAccType();
  mlir::tosa::ConvOpQuantizationAttr getQuantizationInfoAttr() {
    return ::llvm::dyn_cast_or_null<mlir::tosa::ConvOpQuantizationAttr>(getProperties().quantization_info);
  }

  ::std::optional<mlir::tosa::ConvOpQuantizationAttr> getQuantizationInfo();
  ::mlir::BoolAttr getLocalBoundAttr() {
    return ::llvm::dyn_cast_or_null<::mlir::BoolAttr>(getProperties().local_bound);
  }

  bool getLocalBound();
  void setPadAttr(::mlir::DenseI64ArrayAttr attr) {
    getProperties().pad = attr;
  }

  void setPad(::llvm::ArrayRef<int64_t> attrValue);
  void setStrideAttr(::mlir::DenseI64ArrayAttr attr) {
    getProperties().stride = attr;
  }

  void setStride(::llvm::ArrayRef<int64_t> attrValue);
  void setDilationAttr(::mlir::DenseI64ArrayAttr attr) {
    getProperties().dilation = attr;
  }

  void setDilation(::llvm::ArrayRef<int64_t> attrValue);
  void setAccTypeAttr(::mlir::TypeAttr attr) {
    getProperties().acc_type = attr;
  }

  void setAccType(::mlir::Type attrValue);
  void setQuantizationInfoAttr(mlir::tosa::ConvOpQuantizationAttr attr) {
    getProperties().quantization_info = attr;
  }

  void setLocalBoundAttr(::mlir::BoolAttr attr) {
    getProperties().local_bound = attr;
  }

  void setLocalBound(::std::optional<bool> attrValue);
  ::mlir::Attribute removeQuantizationInfoAttr() {
      auto &attr = getProperties().quantization_info;
      attr = {};
      return attr;
  }

  ::mlir::Attribute removeLocalBoundAttr() {
      auto &attr = getProperties().local_bound;
      attr = {};
      return attr;
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type outputType, ::mlir::Value input, ::mlir::Value weight, ::mlir::Value bias, ::mlir::DenseI64ArrayAttr pad, ::mlir::DenseI64ArrayAttr stride, ::mlir::DenseI64ArrayAttr dilation, ::mlir::TypeAttr acc_type);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input, ::mlir::Value weight, ::mlir::Value bias, ::mlir::DenseI64ArrayAttr pad, ::mlir::DenseI64ArrayAttr stride, ::mlir::DenseI64ArrayAttr dilation, ::mlir::TypeAttr acc_type, /*optional*/mlir::tosa::ConvOpQuantizationAttr quantization_info, /*optional*/::mlir::BoolAttr local_bound = nullptr);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input, ::mlir::Value weight, ::mlir::Value bias, ::mlir::DenseI64ArrayAttr pad, ::mlir::DenseI64ArrayAttr stride, ::mlir::DenseI64ArrayAttr dilation, ::mlir::TypeAttr acc_type, /*optional*/mlir::tosa::ConvOpQuantizationAttr quantization_info, /*optional*/::mlir::BoolAttr local_bound = nullptr);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input, ::mlir::Value weight, ::mlir::Value bias, ::llvm::ArrayRef<int64_t> pad, ::llvm::ArrayRef<int64_t> stride, ::llvm::ArrayRef<int64_t> dilation, ::mlir::Type acc_type, /*optional*/mlir::tosa::ConvOpQuantizationAttr quantization_info, /*optional*/bool local_bound = false);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input, ::mlir::Value weight, ::mlir::Value bias, ::llvm::ArrayRef<int64_t> pad, ::llvm::ArrayRef<int64_t> stride, ::llvm::ArrayRef<int64_t> dilation, ::mlir::Type acc_type, /*optional*/mlir::tosa::ConvOpQuantizationAttr quantization_info, /*optional*/bool local_bound = false);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  ::llvm::LogicalResult verify();
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
private:
  ::mlir::StringAttr getAttributeNameForIndex(unsigned index) {
    return getAttributeNameForIndex((*this)->getName(), index);
  }

  static ::mlir::StringAttr getAttributeNameForIndex(::mlir::OperationName name, unsigned index) {
    assert(index < 6 && "invalid attribute index");
    assert(name.getStringRef() == getOperationName() && "invalid operation name");
    assert(name.isRegistered() && "Operation isn't registered, missing a "
          "dependent dialect loading?");
    return name.getAttributeNames()[index];
  }

public:
  static ::llvm::LogicalResult
  inferReturnTypeComponents(::mlir::MLIRContext *context,
                          std::optional<::mlir::Location> location,
                          Adaptor adaptor,
                          ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents> &inferredReturnShapes);

};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::DepthwiseConv2DOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::EqualOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class EqualOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  EqualOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.equal", odsAttrs.getContext());
  }

  EqualOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

};
} // namespace detail
template <typename RangeT>
class EqualOpGenericAdaptor : public detail::EqualOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::EqualOpGenericAdaptorBase;
public:
  EqualOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  EqualOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : EqualOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  EqualOpGenericAdaptor(RangeT values, const EqualOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = EqualOp, typename = std::enable_if_t<std::is_same_v<LateInst, EqualOp>>>
  EqualOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput1() {
    return (*getODSOperands(0).begin());
  }

  ValueT getInput2() {
    return (*getODSOperands(1).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class EqualOpAdaptor : public EqualOpGenericAdaptor<::mlir::ValueRange> {
public:
  using EqualOpGenericAdaptor::EqualOpGenericAdaptor;
  EqualOpAdaptor(EqualOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class EqualOp : public ::mlir::Op<EqualOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::NOperands<2>::Impl, ::mlir::OpTrait::OpInvariants, ::mlir::InferTypeOpInterface::Trait, ::mlir::InferShapedTypeOpInterface::Trait, ::mlir::OpTrait::InferTensorType, ::mlir::OpTrait::IsCommutative, ::mlir::OpTrait::ResultsBroadcastableShape, ::mlir::OpTrait::SameOperandsElementType, ::mlir::OpTrait::SameOperandsAndResultRank, mlir::OpTrait::tosa::TosaElementwiseOperator, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = EqualOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = EqualOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.equal");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput1() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput2() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(1).begin());
  }

  ::mlir::OpOperand &getInput1Mutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getInput2Mutable() {
    auto range = getODSOperandIndexAndLength(1);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1, ::mlir::Value input2);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Value input1, ::mlir::Value input2);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1, ::mlir::Value input2);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  ::mlir::OpFoldResult fold(FoldAdaptor adaptor);
  static ::llvm::LogicalResult inferReturnTypes(::mlir::MLIRContext *context, ::std::optional<::mlir::Location> location, ::mlir::ValueRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::Type>&inferredReturnTypes);
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
  /// Returns when two result types are compatible for this op; method used by
  /// InferTypeOpInterface.
  static bool isCompatibleReturnTypes(TypeRange l, TypeRange r);
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::EqualOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::ErfOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class ErfOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  ErfOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.erf", odsAttrs.getContext());
  }

  ErfOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

};
} // namespace detail
template <typename RangeT>
class ErfOpGenericAdaptor : public detail::ErfOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::ErfOpGenericAdaptorBase;
public:
  ErfOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  ErfOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : ErfOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  ErfOpGenericAdaptor(RangeT values, const ErfOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = ErfOp, typename = std::enable_if_t<std::is_same_v<LateInst, ErfOp>>>
  ErfOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput() {
    return (*getODSOperands(0).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class ErfOpAdaptor : public ErfOpGenericAdaptor<::mlir::ValueRange> {
public:
  using ErfOpGenericAdaptor::ErfOpGenericAdaptor;
  ErfOpAdaptor(ErfOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class ErfOp : public ::mlir::Op<ErfOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::OneOperand, ::mlir::OpTrait::OpInvariants, ::mlir::OpTrait::SameOperandsAndResultShape, ::mlir::OpTrait::ResultsBroadcastableShape, ::mlir::OpTrait::SameOperandsAndResultRank, ::mlir::OpTrait::SameOperandsAndResultElementType, ::mlir::InferShapedTypeOpInterface::Trait, mlir::OpTrait::tosa::TosaElementwiseOperator, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = ErfOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = ErfOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.erf");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::OpOperand &getInputMutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::ErfOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::ExpOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class ExpOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  ExpOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.exp", odsAttrs.getContext());
  }

  ExpOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

};
} // namespace detail
template <typename RangeT>
class ExpOpGenericAdaptor : public detail::ExpOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::ExpOpGenericAdaptorBase;
public:
  ExpOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  ExpOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : ExpOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  ExpOpGenericAdaptor(RangeT values, const ExpOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = ExpOp, typename = std::enable_if_t<std::is_same_v<LateInst, ExpOp>>>
  ExpOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput1() {
    return (*getODSOperands(0).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class ExpOpAdaptor : public ExpOpGenericAdaptor<::mlir::ValueRange> {
public:
  using ExpOpGenericAdaptor::ExpOpGenericAdaptor;
  ExpOpAdaptor(ExpOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class ExpOp : public ::mlir::Op<ExpOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::OneOperand, ::mlir::OpTrait::OpInvariants, ::mlir::OpTrait::SameOperandsAndResultShape, ::mlir::OpTrait::ResultsBroadcastableShape, ::mlir::OpTrait::SameOperandsAndResultRank, ::mlir::OpTrait::SameOperandsAndResultElementType, ::mlir::InferShapedTypeOpInterface::Trait, mlir::OpTrait::tosa::TosaElementwiseOperator, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = ExpOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = ExpOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.exp");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput1() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::OpOperand &getInput1Mutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  ::mlir::OpFoldResult fold(FoldAdaptor adaptor);
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::ExpOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::FFT2dOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class FFT2dOpGenericAdaptorBase {
public:
  struct Properties {
    using inverseTy = ::mlir::BoolAttr;
    inverseTy inverse;

    auto getInverse() {
      auto &propStorage = this->inverse;
      return ::llvm::cast<::mlir::BoolAttr>(propStorage);
    }
    void setInverse(const ::mlir::BoolAttr &propValue) {
      this->inverse = propValue;
    }
    using local_boundTy = ::mlir::BoolAttr;
    local_boundTy local_bound;

    auto getLocalBound() {
      auto &propStorage = this->local_bound;
      return ::llvm::dyn_cast_or_null<::mlir::BoolAttr>(propStorage);
    }
    void setLocalBound(const ::mlir::BoolAttr &propValue) {
      this->local_bound = propValue;
    }
    bool operator==(const Properties &rhs) const {
      return 
        rhs.inverse == this->inverse &&
        rhs.local_bound == this->local_bound &&
        true;
    }
    bool operator!=(const Properties &rhs) const {
      return !(*this == rhs);
    }
  };
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  Properties properties;
  ::mlir::RegionRange odsRegions;
public:
  FFT2dOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.fft2d", odsAttrs.getContext());
  }

  FFT2dOpGenericAdaptorBase(FFT2dOp op);

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  const Properties &getProperties() {
    return properties;
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

  ::mlir::BoolAttr getInverseAttr() {
    auto attr = ::llvm::cast<::mlir::BoolAttr>(getProperties().inverse);
    return attr;
  }

  bool getInverse();
  ::mlir::BoolAttr getLocalBoundAttr();
  bool getLocalBound();
};
} // namespace detail
template <typename RangeT>
class FFT2dOpGenericAdaptor : public detail::FFT2dOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::FFT2dOpGenericAdaptorBase;
public:
  FFT2dOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  FFT2dOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : FFT2dOpGenericAdaptor(values, attrs, (properties ? *properties.as<Properties *>() : Properties{}), regions) {}

  FFT2dOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = nullptr) : FFT2dOpGenericAdaptor(values, attrs, Properties{}, {}) {}

  FFT2dOpGenericAdaptor(RangeT values, const FFT2dOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = FFT2dOp, typename = std::enable_if_t<std::is_same_v<LateInst, FFT2dOp>>>
  FFT2dOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInputReal() {
    return (*getODSOperands(0).begin());
  }

  ValueT getInputImag() {
    return (*getODSOperands(1).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class FFT2dOpAdaptor : public FFT2dOpGenericAdaptor<::mlir::ValueRange> {
public:
  using FFT2dOpGenericAdaptor::FFT2dOpGenericAdaptor;
  FFT2dOpAdaptor(FFT2dOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class FFT2dOp : public ::mlir::Op<FFT2dOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::NResults<2>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::NOperands<2>::Impl, ::mlir::OpTrait::OpInvariants, ::mlir::BytecodeOpInterface::Trait, ::mlir::InferShapedTypeOpInterface::Trait, ::mlir::OpTrait::InferShapedTypeOpAdaptor, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands, ::mlir::OpAsmOpInterface::Trait> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = FFT2dOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = FFT2dOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    static ::llvm::StringRef attrNames[] = {::llvm::StringRef("inverse"), ::llvm::StringRef("local_bound")};
    return ::llvm::ArrayRef(attrNames);
  }

  ::mlir::StringAttr getInverseAttrName() {
    return getAttributeNameForIndex(0);
  }

  static ::mlir::StringAttr getInverseAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 0);
  }

  ::mlir::StringAttr getLocalBoundAttrName() {
    return getAttributeNameForIndex(1);
  }

  static ::mlir::StringAttr getLocalBoundAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 1);
  }

  void getAsmResultNames(::mlir::OpAsmSetValueNameFn setNameFn);
  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.fft2d");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInputReal() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::TypedValue<::mlir::TensorType> getInputImag() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(1).begin());
  }

  ::mlir::OpOperand &getInputRealMutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getInputImagMutable() {
    auto range = getODSOperandIndexAndLength(1);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutputReal() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutputImag() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(1).begin());
  }

  static ::llvm::LogicalResult setPropertiesFromAttr(Properties &prop, ::mlir::Attribute attr, ::llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::mlir::Attribute getPropertiesAsAttr(::mlir::MLIRContext *ctx, const Properties &prop);
  static llvm::hash_code computePropertiesHash(const Properties &prop);
  static std::optional<mlir::Attribute> getInherentAttr(::mlir::MLIRContext *ctx, const Properties &prop, llvm::StringRef name);
  static void setInherentAttr(Properties &prop, llvm::StringRef name, mlir::Attribute value);
  static void populateInherentAttrs(::mlir::MLIRContext *ctx, const Properties &prop, ::mlir::NamedAttrList &attrs);
  static ::llvm::LogicalResult verifyInherentAttrs(::mlir::OperationName opName, ::mlir::NamedAttrList &attrs, llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::llvm::LogicalResult readProperties(::mlir::DialectBytecodeReader &reader, ::mlir::OperationState &state);
  void writeProperties(::mlir::DialectBytecodeWriter &writer);
  ::mlir::BoolAttr getInverseAttr() {
    return ::llvm::cast<::mlir::BoolAttr>(getProperties().inverse);
  }

  bool getInverse();
  ::mlir::BoolAttr getLocalBoundAttr() {
    return ::llvm::dyn_cast_or_null<::mlir::BoolAttr>(getProperties().local_bound);
  }

  bool getLocalBound();
  void setInverseAttr(::mlir::BoolAttr attr) {
    getProperties().inverse = attr;
  }

  void setInverse(bool attrValue);
  void setLocalBoundAttr(::mlir::BoolAttr attr) {
    getProperties().local_bound = attr;
  }

  void setLocalBound(::std::optional<bool> attrValue);
  ::mlir::Attribute removeLocalBoundAttr() {
      auto &attr = getProperties().local_bound;
      attr = {};
      return attr;
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output_real, ::mlir::Type output_imag, ::mlir::Value input_real, ::mlir::Value input_imag, ::mlir::BoolAttr inverse, /*optional*/::mlir::BoolAttr local_bound = nullptr);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input_real, ::mlir::Value input_imag, ::mlir::BoolAttr inverse, /*optional*/::mlir::BoolAttr local_bound = nullptr);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output_real, ::mlir::Type output_imag, ::mlir::Value input_real, ::mlir::Value input_imag, bool inverse, /*optional*/bool local_bound = false);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input_real, ::mlir::Value input_imag, bool inverse, /*optional*/bool local_bound = false);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
private:
  ::mlir::StringAttr getAttributeNameForIndex(unsigned index) {
    return getAttributeNameForIndex((*this)->getName(), index);
  }

  static ::mlir::StringAttr getAttributeNameForIndex(::mlir::OperationName name, unsigned index) {
    assert(index < 2 && "invalid attribute index");
    assert(name.getStringRef() == getOperationName() && "invalid operation name");
    assert(name.isRegistered() && "Operation isn't registered, missing a "
          "dependent dialect loading?");
    return name.getAttributeNames()[index];
  }

public:
  static ::llvm::LogicalResult
  inferReturnTypeComponents(::mlir::MLIRContext *context,
                          std::optional<::mlir::Location> location,
                          Adaptor adaptor,
                          ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents> &inferredReturnShapes);

};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::FFT2dOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::FloorOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class FloorOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  FloorOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.floor", odsAttrs.getContext());
  }

  FloorOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

};
} // namespace detail
template <typename RangeT>
class FloorOpGenericAdaptor : public detail::FloorOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::FloorOpGenericAdaptorBase;
public:
  FloorOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  FloorOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : FloorOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  FloorOpGenericAdaptor(RangeT values, const FloorOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = FloorOp, typename = std::enable_if_t<std::is_same_v<LateInst, FloorOp>>>
  FloorOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput1() {
    return (*getODSOperands(0).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class FloorOpAdaptor : public FloorOpGenericAdaptor<::mlir::ValueRange> {
public:
  using FloorOpGenericAdaptor::FloorOpGenericAdaptor;
  FloorOpAdaptor(FloorOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class FloorOp : public ::mlir::Op<FloorOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::OneOperand, ::mlir::OpTrait::OpInvariants, ::mlir::OpTrait::SameOperandsAndResultShape, ::mlir::OpTrait::ResultsBroadcastableShape, ::mlir::OpTrait::SameOperandsAndResultRank, ::mlir::OpTrait::SameOperandsAndResultElementType, ::mlir::InferShapedTypeOpInterface::Trait, mlir::OpTrait::tosa::TosaElementwiseOperator, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = FloorOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = FloorOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.floor");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput1() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::OpOperand &getInput1Mutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::FloorOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::FullyConnectedOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class FullyConnectedOpGenericAdaptorBase {
public:
  struct Properties {
    using quantization_infoTy = mlir::tosa::ConvOpQuantizationAttr;
    quantization_infoTy quantization_info;

    auto getQuantizationInfo() {
      auto &propStorage = this->quantization_info;
      return ::llvm::dyn_cast_or_null<mlir::tosa::ConvOpQuantizationAttr>(propStorage);
    }
    void setQuantizationInfo(const mlir::tosa::ConvOpQuantizationAttr &propValue) {
      this->quantization_info = propValue;
    }
    bool operator==(const Properties &rhs) const {
      return 
        rhs.quantization_info == this->quantization_info &&
        true;
    }
    bool operator!=(const Properties &rhs) const {
      return !(*this == rhs);
    }
  };
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  Properties properties;
  ::mlir::RegionRange odsRegions;
public:
  FullyConnectedOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.fully_connected", odsAttrs.getContext());
  }

  FullyConnectedOpGenericAdaptorBase(FullyConnectedOp op);

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  const Properties &getProperties() {
    return properties;
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

  mlir::tosa::ConvOpQuantizationAttr getQuantizationInfoAttr() {
    auto attr = ::llvm::dyn_cast_or_null<mlir::tosa::ConvOpQuantizationAttr>(getProperties().quantization_info);
    return attr;
  }

  ::std::optional<mlir::tosa::ConvOpQuantizationAttr> getQuantizationInfo();
};
} // namespace detail
template <typename RangeT>
class FullyConnectedOpGenericAdaptor : public detail::FullyConnectedOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::FullyConnectedOpGenericAdaptorBase;
public:
  FullyConnectedOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  FullyConnectedOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : FullyConnectedOpGenericAdaptor(values, attrs, (properties ? *properties.as<Properties *>() : Properties{}), regions) {}

  FullyConnectedOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = nullptr) : FullyConnectedOpGenericAdaptor(values, attrs, Properties{}, {}) {}

  FullyConnectedOpGenericAdaptor(RangeT values, const FullyConnectedOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = FullyConnectedOp, typename = std::enable_if_t<std::is_same_v<LateInst, FullyConnectedOp>>>
  FullyConnectedOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput() {
    return (*getODSOperands(0).begin());
  }

  ValueT getWeight() {
    return (*getODSOperands(1).begin());
  }

  ValueT getBias() {
    return (*getODSOperands(2).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class FullyConnectedOpAdaptor : public FullyConnectedOpGenericAdaptor<::mlir::ValueRange> {
public:
  using FullyConnectedOpGenericAdaptor::FullyConnectedOpGenericAdaptor;
  FullyConnectedOpAdaptor(FullyConnectedOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class FullyConnectedOp : public ::mlir::Op<FullyConnectedOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::NOperands<3>::Impl, ::mlir::OpTrait::OpInvariants, ::mlir::BytecodeOpInterface::Trait, ::mlir::InferShapedTypeOpInterface::Trait, ::mlir::OpTrait::InferShapedTypeOpAdaptor, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = FullyConnectedOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = FullyConnectedOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    static ::llvm::StringRef attrNames[] = {::llvm::StringRef("quantization_info")};
    return ::llvm::ArrayRef(attrNames);
  }

  ::mlir::StringAttr getQuantizationInfoAttrName() {
    return getAttributeNameForIndex(0);
  }

  static ::mlir::StringAttr getQuantizationInfoAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 0);
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.fully_connected");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::TypedValue<::mlir::RankedTensorType> getWeight() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::RankedTensorType>>(*getODSOperands(1).begin());
  }

  ::mlir::TypedValue<::mlir::TensorType> getBias() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(2).begin());
  }

  ::mlir::OpOperand &getInputMutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getWeightMutable() {
    auto range = getODSOperandIndexAndLength(1);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getBiasMutable() {
    auto range = getODSOperandIndexAndLength(2);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static ::llvm::LogicalResult setPropertiesFromAttr(Properties &prop, ::mlir::Attribute attr, ::llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::mlir::Attribute getPropertiesAsAttr(::mlir::MLIRContext *ctx, const Properties &prop);
  static llvm::hash_code computePropertiesHash(const Properties &prop);
  static std::optional<mlir::Attribute> getInherentAttr(::mlir::MLIRContext *ctx, const Properties &prop, llvm::StringRef name);
  static void setInherentAttr(Properties &prop, llvm::StringRef name, mlir::Attribute value);
  static void populateInherentAttrs(::mlir::MLIRContext *ctx, const Properties &prop, ::mlir::NamedAttrList &attrs);
  static ::llvm::LogicalResult verifyInherentAttrs(::mlir::OperationName opName, ::mlir::NamedAttrList &attrs, llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::llvm::LogicalResult readProperties(::mlir::DialectBytecodeReader &reader, ::mlir::OperationState &state);
  void writeProperties(::mlir::DialectBytecodeWriter &writer);
  mlir::tosa::ConvOpQuantizationAttr getQuantizationInfoAttr() {
    return ::llvm::dyn_cast_or_null<mlir::tosa::ConvOpQuantizationAttr>(getProperties().quantization_info);
  }

  ::std::optional<mlir::tosa::ConvOpQuantizationAttr> getQuantizationInfo();
  void setQuantizationInfoAttr(mlir::tosa::ConvOpQuantizationAttr attr) {
    getProperties().quantization_info = attr;
  }

  ::mlir::Attribute removeQuantizationInfoAttr() {
      auto &attr = getProperties().quantization_info;
      attr = {};
      return attr;
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, Type outputType, Value input, Value weight, Value bias);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input, ::mlir::Value weight, ::mlir::Value bias, /*optional*/mlir::tosa::ConvOpQuantizationAttr quantization_info);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input, ::mlir::Value weight, ::mlir::Value bias, /*optional*/mlir::tosa::ConvOpQuantizationAttr quantization_info);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  ::llvm::LogicalResult verify();
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
private:
  ::mlir::StringAttr getAttributeNameForIndex(unsigned index) {
    return getAttributeNameForIndex((*this)->getName(), index);
  }

  static ::mlir::StringAttr getAttributeNameForIndex(::mlir::OperationName name, unsigned index) {
    assert(index < 1 && "invalid attribute index");
    assert(name.getStringRef() == getOperationName() && "invalid operation name");
    assert(name.isRegistered() && "Operation isn't registered, missing a "
          "dependent dialect loading?");
    return name.getAttributeNames()[index];
  }

public:
  static ::llvm::LogicalResult
  inferReturnTypeComponents(::mlir::MLIRContext *context,
                          std::optional<::mlir::Location> location,
                          Adaptor adaptor,
                          ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents> &inferredReturnShapes);

};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::FullyConnectedOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::GatherOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class GatherOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  GatherOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.gather", odsAttrs.getContext());
  }

  GatherOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

};
} // namespace detail
template <typename RangeT>
class GatherOpGenericAdaptor : public detail::GatherOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::GatherOpGenericAdaptorBase;
public:
  GatherOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  GatherOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : GatherOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  GatherOpGenericAdaptor(RangeT values, const GatherOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = GatherOp, typename = std::enable_if_t<std::is_same_v<LateInst, GatherOp>>>
  GatherOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getValues() {
    return (*getODSOperands(0).begin());
  }

  ValueT getIndices() {
    return (*getODSOperands(1).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class GatherOpAdaptor : public GatherOpGenericAdaptor<::mlir::ValueRange> {
public:
  using GatherOpGenericAdaptor::GatherOpGenericAdaptor;
  GatherOpAdaptor(GatherOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class GatherOp : public ::mlir::Op<GatherOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::NOperands<2>::Impl, ::mlir::OpTrait::OpInvariants, ::mlir::InferShapedTypeOpInterface::Trait, ::mlir::OpTrait::InferShapedTypeOpAdaptor, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = GatherOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = GatherOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.gather");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getValues() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::TypedValue<::mlir::RankedTensorType> getIndices() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::RankedTensorType>>(*getODSOperands(1).begin());
  }

  ::mlir::OpOperand &getValuesMutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getIndicesMutable() {
    auto range = getODSOperandIndexAndLength(1);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value values, ::mlir::Value indices);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value values, ::mlir::Value indices);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
  static ::llvm::LogicalResult
  inferReturnTypeComponents(::mlir::MLIRContext *context,
                          std::optional<::mlir::Location> location,
                          Adaptor adaptor,
                          ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents> &inferredReturnShapes);

};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::GatherOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::GreaterEqualOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class GreaterEqualOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  GreaterEqualOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.greater_equal", odsAttrs.getContext());
  }

  GreaterEqualOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

};
} // namespace detail
template <typename RangeT>
class GreaterEqualOpGenericAdaptor : public detail::GreaterEqualOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::GreaterEqualOpGenericAdaptorBase;
public:
  GreaterEqualOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  GreaterEqualOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : GreaterEqualOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  GreaterEqualOpGenericAdaptor(RangeT values, const GreaterEqualOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = GreaterEqualOp, typename = std::enable_if_t<std::is_same_v<LateInst, GreaterEqualOp>>>
  GreaterEqualOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput1() {
    return (*getODSOperands(0).begin());
  }

  ValueT getInput2() {
    return (*getODSOperands(1).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class GreaterEqualOpAdaptor : public GreaterEqualOpGenericAdaptor<::mlir::ValueRange> {
public:
  using GreaterEqualOpGenericAdaptor::GreaterEqualOpGenericAdaptor;
  GreaterEqualOpAdaptor(GreaterEqualOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class GreaterEqualOp : public ::mlir::Op<GreaterEqualOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::NOperands<2>::Impl, ::mlir::OpTrait::OpInvariants, ::mlir::OpTrait::ResultsBroadcastableShape, ::mlir::OpTrait::SameOperandsElementType, ::mlir::OpTrait::SameOperandsAndResultRank, ::mlir::InferShapedTypeOpInterface::Trait, mlir::OpTrait::tosa::TosaElementwiseOperator, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = GreaterEqualOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = GreaterEqualOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.greater_equal");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput1() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput2() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(1).begin());
  }

  ::mlir::OpOperand &getInput1Mutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getInput2Mutable() {
    auto range = getODSOperandIndexAndLength(1);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1, ::mlir::Value input2);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1, ::mlir::Value input2);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  ::mlir::OpFoldResult fold(FoldAdaptor adaptor);
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::GreaterEqualOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::GreaterOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class GreaterOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  GreaterOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.greater", odsAttrs.getContext());
  }

  GreaterOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

};
} // namespace detail
template <typename RangeT>
class GreaterOpGenericAdaptor : public detail::GreaterOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::GreaterOpGenericAdaptorBase;
public:
  GreaterOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  GreaterOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : GreaterOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  GreaterOpGenericAdaptor(RangeT values, const GreaterOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = GreaterOp, typename = std::enable_if_t<std::is_same_v<LateInst, GreaterOp>>>
  GreaterOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput1() {
    return (*getODSOperands(0).begin());
  }

  ValueT getInput2() {
    return (*getODSOperands(1).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class GreaterOpAdaptor : public GreaterOpGenericAdaptor<::mlir::ValueRange> {
public:
  using GreaterOpGenericAdaptor::GreaterOpGenericAdaptor;
  GreaterOpAdaptor(GreaterOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class GreaterOp : public ::mlir::Op<GreaterOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::NOperands<2>::Impl, ::mlir::OpTrait::OpInvariants, ::mlir::OpTrait::ResultsBroadcastableShape, ::mlir::OpTrait::SameOperandsElementType, ::mlir::OpTrait::SameOperandsAndResultRank, ::mlir::InferShapedTypeOpInterface::Trait, mlir::OpTrait::tosa::TosaElementwiseOperator, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = GreaterOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = GreaterOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.greater");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput1() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput2() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(1).begin());
  }

  ::mlir::OpOperand &getInput1Mutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getInput2Mutable() {
    auto range = getODSOperandIndexAndLength(1);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1, ::mlir::Value input2);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1, ::mlir::Value input2);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  ::mlir::OpFoldResult fold(FoldAdaptor adaptor);
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::GreaterOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::IdentityOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class IdentityOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  IdentityOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.identity", odsAttrs.getContext());
  }

  IdentityOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

};
} // namespace detail
template <typename RangeT>
class IdentityOpGenericAdaptor : public detail::IdentityOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::IdentityOpGenericAdaptorBase;
public:
  IdentityOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  IdentityOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : IdentityOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  IdentityOpGenericAdaptor(RangeT values, const IdentityOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = IdentityOp, typename = std::enable_if_t<std::is_same_v<LateInst, IdentityOp>>>
  IdentityOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput1() {
    return (*getODSOperands(0).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class IdentityOpAdaptor : public IdentityOpGenericAdaptor<::mlir::ValueRange> {
public:
  using IdentityOpGenericAdaptor::IdentityOpGenericAdaptor;
  IdentityOpAdaptor(IdentityOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class IdentityOp : public ::mlir::Op<IdentityOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::OneOperand, ::mlir::OpTrait::OpInvariants, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, ::mlir::InferShapedTypeOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = IdentityOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = IdentityOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.identity");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput1() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::OpOperand &getInput1Mutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::IdentityOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::IfOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class IfOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  IfOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.cond_if", odsAttrs.getContext());
  }

  IfOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize);
  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

  ::mlir::Region &getThenBranch() {
    return *odsRegions[0];
  }

  ::mlir::Region &getElseBranch() {
    return *odsRegions[1];
  }

  ::mlir::RegionRange getRegions() {
    return odsRegions;
  }

};
} // namespace detail
template <typename RangeT>
class IfOpGenericAdaptor : public detail::IfOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::IfOpGenericAdaptorBase;
public:
  IfOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  IfOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : IfOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  IfOpGenericAdaptor(RangeT values, const IfOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = IfOp, typename = std::enable_if_t<std::is_same_v<LateInst, IfOp>>>
  IfOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getCond() {
    return (*getODSOperands(0).begin());
  }

  RangeT getInputs() {
    return getODSOperands(1);
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class IfOpAdaptor : public IfOpGenericAdaptor<::mlir::ValueRange> {
public:
  using IfOpGenericAdaptor::IfOpGenericAdaptor;
  IfOpAdaptor(IfOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class IfOp : public ::mlir::Op<IfOp, ::mlir::OpTrait::NRegions<2>::Impl, ::mlir::OpTrait::VariadicResults, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::AtLeastNOperands<1>::Impl, ::mlir::OpTrait::SingleBlock, ::mlir::OpTrait::SingleBlockImplicitTerminator<YieldOp>::Impl, ::mlir::OpTrait::OpInvariants, ::mlir::InferShapedTypeOpInterface::Trait, ::mlir::OpTrait::InferShapedTypeOpAdaptor, ::mlir::OpTrait::HasRecursiveMemoryEffects, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = IfOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = IfOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.cond_if");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index);
  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getCond() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::Operation::operand_range getInputs() {
    return getODSOperands(1);
  }

  ::mlir::OpOperand &getCondMutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::MutableOperandRange getInputsMutable();
  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index);
  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::Operation::result_range getOutput() {
    return getODSResults(0);
  }

  ::mlir::Region &getThenBranch() {
    return (*this)->getRegion(0);
  }

  ::mlir::Region &getElseBranch() {
    return (*this)->getRegion(1);
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange output, ::mlir::Value cond, ::mlir::ValueRange inputs);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &p);
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
public:
  static ::llvm::LogicalResult
  inferReturnTypeComponents(::mlir::MLIRContext *context,
                          std::optional<::mlir::Location> location,
                          Adaptor adaptor,
                          ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents> &inferredReturnShapes);

};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::IfOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::IntDivOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class IntDivOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  IntDivOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.int_div", odsAttrs.getContext());
  }

  IntDivOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

};
} // namespace detail
template <typename RangeT>
class IntDivOpGenericAdaptor : public detail::IntDivOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::IntDivOpGenericAdaptorBase;
public:
  IntDivOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  IntDivOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : IntDivOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  IntDivOpGenericAdaptor(RangeT values, const IntDivOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = IntDivOp, typename = std::enable_if_t<std::is_same_v<LateInst, IntDivOp>>>
  IntDivOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput1() {
    return (*getODSOperands(0).begin());
  }

  ValueT getInput2() {
    return (*getODSOperands(1).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class IntDivOpAdaptor : public IntDivOpGenericAdaptor<::mlir::ValueRange> {
public:
  using IntDivOpGenericAdaptor::IntDivOpGenericAdaptor;
  IntDivOpAdaptor(IntDivOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class IntDivOp : public ::mlir::Op<IntDivOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::NOperands<2>::Impl, ::mlir::OpTrait::OpInvariants, ::mlir::OpTrait::ResultsBroadcastableShape, ::mlir::OpTrait::SameOperandsAndResultRank, ::mlir::OpTrait::SameOperandsAndResultElementType, ::mlir::InferShapedTypeOpInterface::Trait, mlir::OpTrait::tosa::TosaElementwiseOperator, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = IntDivOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = IntDivOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.int_div");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput1() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput2() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(1).begin());
  }

  ::mlir::OpOperand &getInput1Mutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getInput2Mutable() {
    auto range = getODSOperandIndexAndLength(1);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1, ::mlir::Value input2);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1, ::mlir::Value input2);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  ::mlir::OpFoldResult fold(FoldAdaptor adaptor);
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::IntDivOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::LogOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class LogOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  LogOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.log", odsAttrs.getContext());
  }

  LogOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

};
} // namespace detail
template <typename RangeT>
class LogOpGenericAdaptor : public detail::LogOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::LogOpGenericAdaptorBase;
public:
  LogOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  LogOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : LogOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  LogOpGenericAdaptor(RangeT values, const LogOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = LogOp, typename = std::enable_if_t<std::is_same_v<LateInst, LogOp>>>
  LogOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput1() {
    return (*getODSOperands(0).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class LogOpAdaptor : public LogOpGenericAdaptor<::mlir::ValueRange> {
public:
  using LogOpGenericAdaptor::LogOpGenericAdaptor;
  LogOpAdaptor(LogOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class LogOp : public ::mlir::Op<LogOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::OneOperand, ::mlir::OpTrait::OpInvariants, ::mlir::OpTrait::SameOperandsAndResultShape, ::mlir::OpTrait::ResultsBroadcastableShape, ::mlir::OpTrait::SameOperandsAndResultRank, ::mlir::OpTrait::SameOperandsAndResultElementType, ::mlir::InferShapedTypeOpInterface::Trait, mlir::OpTrait::tosa::TosaElementwiseOperator, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = LogOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = LogOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.log");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput1() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::OpOperand &getInput1Mutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  ::mlir::OpFoldResult fold(FoldAdaptor adaptor);
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::LogOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::LogicalAndOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class LogicalAndOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  LogicalAndOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.logical_and", odsAttrs.getContext());
  }

  LogicalAndOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

};
} // namespace detail
template <typename RangeT>
class LogicalAndOpGenericAdaptor : public detail::LogicalAndOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::LogicalAndOpGenericAdaptorBase;
public:
  LogicalAndOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  LogicalAndOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : LogicalAndOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  LogicalAndOpGenericAdaptor(RangeT values, const LogicalAndOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = LogicalAndOp, typename = std::enable_if_t<std::is_same_v<LateInst, LogicalAndOp>>>
  LogicalAndOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput1() {
    return (*getODSOperands(0).begin());
  }

  ValueT getInput2() {
    return (*getODSOperands(1).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class LogicalAndOpAdaptor : public LogicalAndOpGenericAdaptor<::mlir::ValueRange> {
public:
  using LogicalAndOpGenericAdaptor::LogicalAndOpGenericAdaptor;
  LogicalAndOpAdaptor(LogicalAndOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class LogicalAndOp : public ::mlir::Op<LogicalAndOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::NOperands<2>::Impl, ::mlir::OpTrait::OpInvariants, ::mlir::OpTrait::IsCommutative, ::mlir::OpTrait::ResultsBroadcastableShape, ::mlir::OpTrait::SameOperandsAndResultElementType, ::mlir::OpTrait::SameOperandsAndResultRank, ::mlir::InferShapedTypeOpInterface::Trait, mlir::OpTrait::tosa::TosaElementwiseOperator, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = LogicalAndOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = LogicalAndOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.logical_and");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput1() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput2() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(1).begin());
  }

  ::mlir::OpOperand &getInput1Mutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getInput2Mutable() {
    auto range = getODSOperandIndexAndLength(1);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getZ() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type z, ::mlir::Value input1, ::mlir::Value input2);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1, ::mlir::Value input2);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::LogicalAndOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::LogicalLeftShiftOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class LogicalLeftShiftOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  LogicalLeftShiftOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.logical_left_shift", odsAttrs.getContext());
  }

  LogicalLeftShiftOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

};
} // namespace detail
template <typename RangeT>
class LogicalLeftShiftOpGenericAdaptor : public detail::LogicalLeftShiftOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::LogicalLeftShiftOpGenericAdaptorBase;
public:
  LogicalLeftShiftOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  LogicalLeftShiftOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : LogicalLeftShiftOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  LogicalLeftShiftOpGenericAdaptor(RangeT values, const LogicalLeftShiftOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = LogicalLeftShiftOp, typename = std::enable_if_t<std::is_same_v<LateInst, LogicalLeftShiftOp>>>
  LogicalLeftShiftOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput1() {
    return (*getODSOperands(0).begin());
  }

  ValueT getInput2() {
    return (*getODSOperands(1).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class LogicalLeftShiftOpAdaptor : public LogicalLeftShiftOpGenericAdaptor<::mlir::ValueRange> {
public:
  using LogicalLeftShiftOpGenericAdaptor::LogicalLeftShiftOpGenericAdaptor;
  LogicalLeftShiftOpAdaptor(LogicalLeftShiftOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class LogicalLeftShiftOp : public ::mlir::Op<LogicalLeftShiftOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::NOperands<2>::Impl, ::mlir::OpTrait::OpInvariants, ::mlir::OpTrait::ResultsBroadcastableShape, ::mlir::OpTrait::SameOperandsAndResultElementType, ::mlir::OpTrait::SameOperandsAndResultRank, ::mlir::InferShapedTypeOpInterface::Trait, mlir::OpTrait::tosa::TosaElementwiseOperator, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = LogicalLeftShiftOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = LogicalLeftShiftOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.logical_left_shift");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput1() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput2() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(1).begin());
  }

  ::mlir::OpOperand &getInput1Mutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getInput2Mutable() {
    auto range = getODSOperandIndexAndLength(1);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1, ::mlir::Value input2);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1, ::mlir::Value input2);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::LogicalLeftShiftOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::LogicalNotOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class LogicalNotOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  LogicalNotOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.logical_not", odsAttrs.getContext());
  }

  LogicalNotOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

};
} // namespace detail
template <typename RangeT>
class LogicalNotOpGenericAdaptor : public detail::LogicalNotOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::LogicalNotOpGenericAdaptorBase;
public:
  LogicalNotOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  LogicalNotOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : LogicalNotOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  LogicalNotOpGenericAdaptor(RangeT values, const LogicalNotOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = LogicalNotOp, typename = std::enable_if_t<std::is_same_v<LateInst, LogicalNotOp>>>
  LogicalNotOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput1() {
    return (*getODSOperands(0).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class LogicalNotOpAdaptor : public LogicalNotOpGenericAdaptor<::mlir::ValueRange> {
public:
  using LogicalNotOpGenericAdaptor::LogicalNotOpGenericAdaptor;
  LogicalNotOpAdaptor(LogicalNotOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class LogicalNotOp : public ::mlir::Op<LogicalNotOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::OneOperand, ::mlir::OpTrait::OpInvariants, ::mlir::OpTrait::SameOperandsAndResultShape, ::mlir::OpTrait::ResultsBroadcastableShape, ::mlir::OpTrait::SameOperandsAndResultRank, ::mlir::OpTrait::SameOperandsAndResultElementType, ::mlir::InferShapedTypeOpInterface::Trait, mlir::OpTrait::tosa::TosaElementwiseOperator, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = LogicalNotOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = LogicalNotOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.logical_not");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput1() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::OpOperand &getInput1Mutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::LogicalNotOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::LogicalOrOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class LogicalOrOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  LogicalOrOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.logical_or", odsAttrs.getContext());
  }

  LogicalOrOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

};
} // namespace detail
template <typename RangeT>
class LogicalOrOpGenericAdaptor : public detail::LogicalOrOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::LogicalOrOpGenericAdaptorBase;
public:
  LogicalOrOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  LogicalOrOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : LogicalOrOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  LogicalOrOpGenericAdaptor(RangeT values, const LogicalOrOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = LogicalOrOp, typename = std::enable_if_t<std::is_same_v<LateInst, LogicalOrOp>>>
  LogicalOrOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput1() {
    return (*getODSOperands(0).begin());
  }

  ValueT getInput2() {
    return (*getODSOperands(1).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class LogicalOrOpAdaptor : public LogicalOrOpGenericAdaptor<::mlir::ValueRange> {
public:
  using LogicalOrOpGenericAdaptor::LogicalOrOpGenericAdaptor;
  LogicalOrOpAdaptor(LogicalOrOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class LogicalOrOp : public ::mlir::Op<LogicalOrOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::NOperands<2>::Impl, ::mlir::OpTrait::OpInvariants, ::mlir::OpTrait::IsCommutative, ::mlir::OpTrait::ResultsBroadcastableShape, ::mlir::OpTrait::SameOperandsAndResultElementType, ::mlir::OpTrait::SameOperandsAndResultRank, ::mlir::InferShapedTypeOpInterface::Trait, mlir::OpTrait::tosa::TosaElementwiseOperator, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = LogicalOrOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = LogicalOrOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.logical_or");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput1() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput2() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(1).begin());
  }

  ::mlir::OpOperand &getInput1Mutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getInput2Mutable() {
    auto range = getODSOperandIndexAndLength(1);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getZ() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type z, ::mlir::Value input1, ::mlir::Value input2);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1, ::mlir::Value input2);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::LogicalOrOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::LogicalRightShiftOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class LogicalRightShiftOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  LogicalRightShiftOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.logical_right_shift", odsAttrs.getContext());
  }

  LogicalRightShiftOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

};
} // namespace detail
template <typename RangeT>
class LogicalRightShiftOpGenericAdaptor : public detail::LogicalRightShiftOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::LogicalRightShiftOpGenericAdaptorBase;
public:
  LogicalRightShiftOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  LogicalRightShiftOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : LogicalRightShiftOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  LogicalRightShiftOpGenericAdaptor(RangeT values, const LogicalRightShiftOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = LogicalRightShiftOp, typename = std::enable_if_t<std::is_same_v<LateInst, LogicalRightShiftOp>>>
  LogicalRightShiftOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput1() {
    return (*getODSOperands(0).begin());
  }

  ValueT getInput2() {
    return (*getODSOperands(1).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class LogicalRightShiftOpAdaptor : public LogicalRightShiftOpGenericAdaptor<::mlir::ValueRange> {
public:
  using LogicalRightShiftOpGenericAdaptor::LogicalRightShiftOpGenericAdaptor;
  LogicalRightShiftOpAdaptor(LogicalRightShiftOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class LogicalRightShiftOp : public ::mlir::Op<LogicalRightShiftOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::NOperands<2>::Impl, ::mlir::OpTrait::OpInvariants, ::mlir::OpTrait::ResultsBroadcastableShape, ::mlir::OpTrait::SameOperandsAndResultElementType, ::mlir::OpTrait::SameOperandsAndResultRank, ::mlir::InferShapedTypeOpInterface::Trait, mlir::OpTrait::tosa::TosaElementwiseOperator, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = LogicalRightShiftOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = LogicalRightShiftOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.logical_right_shift");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput1() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput2() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(1).begin());
  }

  ::mlir::OpOperand &getInput1Mutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getInput2Mutable() {
    auto range = getODSOperandIndexAndLength(1);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1, ::mlir::Value input2);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1, ::mlir::Value input2);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::LogicalRightShiftOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::LogicalXorOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class LogicalXorOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  LogicalXorOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.logical_xor", odsAttrs.getContext());
  }

  LogicalXorOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

};
} // namespace detail
template <typename RangeT>
class LogicalXorOpGenericAdaptor : public detail::LogicalXorOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::LogicalXorOpGenericAdaptorBase;
public:
  LogicalXorOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  LogicalXorOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : LogicalXorOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  LogicalXorOpGenericAdaptor(RangeT values, const LogicalXorOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = LogicalXorOp, typename = std::enable_if_t<std::is_same_v<LateInst, LogicalXorOp>>>
  LogicalXorOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput1() {
    return (*getODSOperands(0).begin());
  }

  ValueT getInput2() {
    return (*getODSOperands(1).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class LogicalXorOpAdaptor : public LogicalXorOpGenericAdaptor<::mlir::ValueRange> {
public:
  using LogicalXorOpGenericAdaptor::LogicalXorOpGenericAdaptor;
  LogicalXorOpAdaptor(LogicalXorOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class LogicalXorOp : public ::mlir::Op<LogicalXorOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::NOperands<2>::Impl, ::mlir::OpTrait::OpInvariants, ::mlir::OpTrait::IsCommutative, ::mlir::OpTrait::ResultsBroadcastableShape, ::mlir::OpTrait::SameOperandsAndResultElementType, ::mlir::OpTrait::SameOperandsAndResultRank, ::mlir::InferShapedTypeOpInterface::Trait, mlir::OpTrait::tosa::TosaElementwiseOperator, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = LogicalXorOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = LogicalXorOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.logical_xor");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput1() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput2() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(1).begin());
  }

  ::mlir::OpOperand &getInput1Mutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getInput2Mutable() {
    auto range = getODSOperandIndexAndLength(1);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getZ() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type z, ::mlir::Value input1, ::mlir::Value input2);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1, ::mlir::Value input2);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::LogicalXorOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::MatMulOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class MatMulOpGenericAdaptorBase {
public:
  struct Properties {
    using quantization_infoTy = mlir::tosa::MatMulOpQuantizationAttr;
    quantization_infoTy quantization_info;

    auto getQuantizationInfo() {
      auto &propStorage = this->quantization_info;
      return ::llvm::dyn_cast_or_null<mlir::tosa::MatMulOpQuantizationAttr>(propStorage);
    }
    void setQuantizationInfo(const mlir::tosa::MatMulOpQuantizationAttr &propValue) {
      this->quantization_info = propValue;
    }
    bool operator==(const Properties &rhs) const {
      return 
        rhs.quantization_info == this->quantization_info &&
        true;
    }
    bool operator!=(const Properties &rhs) const {
      return !(*this == rhs);
    }
  };
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  Properties properties;
  ::mlir::RegionRange odsRegions;
public:
  MatMulOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.matmul", odsAttrs.getContext());
  }

  MatMulOpGenericAdaptorBase(MatMulOp op);

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  const Properties &getProperties() {
    return properties;
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

  mlir::tosa::MatMulOpQuantizationAttr getQuantizationInfoAttr() {
    auto attr = ::llvm::dyn_cast_or_null<mlir::tosa::MatMulOpQuantizationAttr>(getProperties().quantization_info);
    return attr;
  }

  ::std::optional<mlir::tosa::MatMulOpQuantizationAttr> getQuantizationInfo();
};
} // namespace detail
template <typename RangeT>
class MatMulOpGenericAdaptor : public detail::MatMulOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::MatMulOpGenericAdaptorBase;
public:
  MatMulOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  MatMulOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : MatMulOpGenericAdaptor(values, attrs, (properties ? *properties.as<Properties *>() : Properties{}), regions) {}

  MatMulOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = nullptr) : MatMulOpGenericAdaptor(values, attrs, Properties{}, {}) {}

  MatMulOpGenericAdaptor(RangeT values, const MatMulOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = MatMulOp, typename = std::enable_if_t<std::is_same_v<LateInst, MatMulOp>>>
  MatMulOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getA() {
    return (*getODSOperands(0).begin());
  }

  ValueT getB() {
    return (*getODSOperands(1).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class MatMulOpAdaptor : public MatMulOpGenericAdaptor<::mlir::ValueRange> {
public:
  using MatMulOpGenericAdaptor::MatMulOpGenericAdaptor;
  MatMulOpAdaptor(MatMulOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class MatMulOp : public ::mlir::Op<MatMulOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::NOperands<2>::Impl, ::mlir::OpTrait::OpInvariants, ::mlir::BytecodeOpInterface::Trait, ::mlir::InferShapedTypeOpInterface::Trait, ::mlir::OpTrait::InferShapedTypeOpAdaptor, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = MatMulOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = MatMulOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    static ::llvm::StringRef attrNames[] = {::llvm::StringRef("quantization_info")};
    return ::llvm::ArrayRef(attrNames);
  }

  ::mlir::StringAttr getQuantizationInfoAttrName() {
    return getAttributeNameForIndex(0);
  }

  static ::mlir::StringAttr getQuantizationInfoAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 0);
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.matmul");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getA() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::TypedValue<::mlir::TensorType> getB() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(1).begin());
  }

  ::mlir::OpOperand &getAMutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getBMutable() {
    auto range = getODSOperandIndexAndLength(1);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getC() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static ::llvm::LogicalResult setPropertiesFromAttr(Properties &prop, ::mlir::Attribute attr, ::llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::mlir::Attribute getPropertiesAsAttr(::mlir::MLIRContext *ctx, const Properties &prop);
  static llvm::hash_code computePropertiesHash(const Properties &prop);
  static std::optional<mlir::Attribute> getInherentAttr(::mlir::MLIRContext *ctx, const Properties &prop, llvm::StringRef name);
  static void setInherentAttr(Properties &prop, llvm::StringRef name, mlir::Attribute value);
  static void populateInherentAttrs(::mlir::MLIRContext *ctx, const Properties &prop, ::mlir::NamedAttrList &attrs);
  static ::llvm::LogicalResult verifyInherentAttrs(::mlir::OperationName opName, ::mlir::NamedAttrList &attrs, llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::llvm::LogicalResult readProperties(::mlir::DialectBytecodeReader &reader, ::mlir::OperationState &state);
  void writeProperties(::mlir::DialectBytecodeWriter &writer);
  mlir::tosa::MatMulOpQuantizationAttr getQuantizationInfoAttr() {
    return ::llvm::dyn_cast_or_null<mlir::tosa::MatMulOpQuantizationAttr>(getProperties().quantization_info);
  }

  ::std::optional<mlir::tosa::MatMulOpQuantizationAttr> getQuantizationInfo();
  void setQuantizationInfoAttr(mlir::tosa::MatMulOpQuantizationAttr attr) {
    getProperties().quantization_info = attr;
  }

  ::mlir::Attribute removeQuantizationInfoAttr() {
      auto &attr = getProperties().quantization_info;
      attr = {};
      return attr;
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, Type outputType, Value a, Value b);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type c, ::mlir::Value a, ::mlir::Value b, /*optional*/mlir::tosa::MatMulOpQuantizationAttr quantization_info);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value a, ::mlir::Value b, /*optional*/mlir::tosa::MatMulOpQuantizationAttr quantization_info);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
private:
  ::mlir::StringAttr getAttributeNameForIndex(unsigned index) {
    return getAttributeNameForIndex((*this)->getName(), index);
  }

  static ::mlir::StringAttr getAttributeNameForIndex(::mlir::OperationName name, unsigned index) {
    assert(index < 1 && "invalid attribute index");
    assert(name.getStringRef() == getOperationName() && "invalid operation name");
    assert(name.isRegistered() && "Operation isn't registered, missing a "
          "dependent dialect loading?");
    return name.getAttributeNames()[index];
  }

public:
  static ::llvm::LogicalResult
  inferReturnTypeComponents(::mlir::MLIRContext *context,
                          std::optional<::mlir::Location> location,
                          Adaptor adaptor,
                          ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents> &inferredReturnShapes);

};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::MatMulOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::MaxPool2dOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class MaxPool2dOpGenericAdaptorBase {
public:
  struct Properties {
    using kernelTy = ::mlir::DenseI64ArrayAttr;
    kernelTy kernel;

    auto getKernel() {
      auto &propStorage = this->kernel;
      return ::llvm::cast<::mlir::DenseI64ArrayAttr>(propStorage);
    }
    void setKernel(const ::mlir::DenseI64ArrayAttr &propValue) {
      this->kernel = propValue;
    }
    using nan_modeTy = ::mlir::StringAttr;
    nan_modeTy nan_mode;

    auto getNanMode() {
      auto &propStorage = this->nan_mode;
      return ::llvm::dyn_cast_or_null<::mlir::StringAttr>(propStorage);
    }
    void setNanMode(const ::mlir::StringAttr &propValue) {
      this->nan_mode = propValue;
    }
    using padTy = ::mlir::DenseI64ArrayAttr;
    padTy pad;

    auto getPad() {
      auto &propStorage = this->pad;
      return ::llvm::cast<::mlir::DenseI64ArrayAttr>(propStorage);
    }
    void setPad(const ::mlir::DenseI64ArrayAttr &propValue) {
      this->pad = propValue;
    }
    using strideTy = ::mlir::DenseI64ArrayAttr;
    strideTy stride;

    auto getStride() {
      auto &propStorage = this->stride;
      return ::llvm::cast<::mlir::DenseI64ArrayAttr>(propStorage);
    }
    void setStride(const ::mlir::DenseI64ArrayAttr &propValue) {
      this->stride = propValue;
    }
    bool operator==(const Properties &rhs) const {
      return 
        rhs.kernel == this->kernel &&
        rhs.nan_mode == this->nan_mode &&
        rhs.pad == this->pad &&
        rhs.stride == this->stride &&
        true;
    }
    bool operator!=(const Properties &rhs) const {
      return !(*this == rhs);
    }
  };
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  Properties properties;
  ::mlir::RegionRange odsRegions;
public:
  MaxPool2dOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.max_pool2d", odsAttrs.getContext());
  }

  MaxPool2dOpGenericAdaptorBase(MaxPool2dOp op);

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  const Properties &getProperties() {
    return properties;
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

  ::mlir::DenseI64ArrayAttr getKernelAttr() {
    auto attr = ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().kernel);
    return attr;
  }

  ::llvm::ArrayRef<int64_t> getKernel();
  ::mlir::DenseI64ArrayAttr getStrideAttr() {
    auto attr = ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().stride);
    return attr;
  }

  ::llvm::ArrayRef<int64_t> getStride();
  ::mlir::DenseI64ArrayAttr getPadAttr() {
    auto attr = ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().pad);
    return attr;
  }

  ::llvm::ArrayRef<int64_t> getPad();
  ::mlir::StringAttr getNanModeAttr();
  ::llvm::StringRef getNanMode();
};
} // namespace detail
template <typename RangeT>
class MaxPool2dOpGenericAdaptor : public detail::MaxPool2dOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::MaxPool2dOpGenericAdaptorBase;
public:
  MaxPool2dOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  MaxPool2dOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : MaxPool2dOpGenericAdaptor(values, attrs, (properties ? *properties.as<Properties *>() : Properties{}), regions) {}

  MaxPool2dOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = nullptr) : MaxPool2dOpGenericAdaptor(values, attrs, Properties{}, {}) {}

  MaxPool2dOpGenericAdaptor(RangeT values, const MaxPool2dOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = MaxPool2dOp, typename = std::enable_if_t<std::is_same_v<LateInst, MaxPool2dOp>>>
  MaxPool2dOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput() {
    return (*getODSOperands(0).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class MaxPool2dOpAdaptor : public MaxPool2dOpGenericAdaptor<::mlir::ValueRange> {
public:
  using MaxPool2dOpGenericAdaptor::MaxPool2dOpGenericAdaptor;
  MaxPool2dOpAdaptor(MaxPool2dOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class MaxPool2dOp : public ::mlir::Op<MaxPool2dOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::OneOperand, ::mlir::OpTrait::OpInvariants, ::mlir::BytecodeOpInterface::Trait, ::mlir::InferShapedTypeOpInterface::Trait, ::mlir::OpTrait::InferShapedTypeOpAdaptor, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = MaxPool2dOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = MaxPool2dOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    static ::llvm::StringRef attrNames[] = {::llvm::StringRef("kernel"), ::llvm::StringRef("nan_mode"), ::llvm::StringRef("pad"), ::llvm::StringRef("stride")};
    return ::llvm::ArrayRef(attrNames);
  }

  ::mlir::StringAttr getKernelAttrName() {
    return getAttributeNameForIndex(0);
  }

  static ::mlir::StringAttr getKernelAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 0);
  }

  ::mlir::StringAttr getNanModeAttrName() {
    return getAttributeNameForIndex(1);
  }

  static ::mlir::StringAttr getNanModeAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 1);
  }

  ::mlir::StringAttr getPadAttrName() {
    return getAttributeNameForIndex(2);
  }

  static ::mlir::StringAttr getPadAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 2);
  }

  ::mlir::StringAttr getStrideAttrName() {
    return getAttributeNameForIndex(3);
  }

  static ::mlir::StringAttr getStrideAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 3);
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.max_pool2d");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::OpOperand &getInputMutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static ::llvm::LogicalResult setPropertiesFromAttr(Properties &prop, ::mlir::Attribute attr, ::llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::mlir::Attribute getPropertiesAsAttr(::mlir::MLIRContext *ctx, const Properties &prop);
  static llvm::hash_code computePropertiesHash(const Properties &prop);
  static std::optional<mlir::Attribute> getInherentAttr(::mlir::MLIRContext *ctx, const Properties &prop, llvm::StringRef name);
  static void setInherentAttr(Properties &prop, llvm::StringRef name, mlir::Attribute value);
  static void populateInherentAttrs(::mlir::MLIRContext *ctx, const Properties &prop, ::mlir::NamedAttrList &attrs);
  static ::llvm::LogicalResult verifyInherentAttrs(::mlir::OperationName opName, ::mlir::NamedAttrList &attrs, llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::llvm::LogicalResult readProperties(::mlir::DialectBytecodeReader &reader, ::mlir::OperationState &state);
  void writeProperties(::mlir::DialectBytecodeWriter &writer);
  ::mlir::DenseI64ArrayAttr getKernelAttr() {
    return ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().kernel);
  }

  ::llvm::ArrayRef<int64_t> getKernel();
  ::mlir::DenseI64ArrayAttr getStrideAttr() {
    return ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().stride);
  }

  ::llvm::ArrayRef<int64_t> getStride();
  ::mlir::DenseI64ArrayAttr getPadAttr() {
    return ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().pad);
  }

  ::llvm::ArrayRef<int64_t> getPad();
  ::mlir::StringAttr getNanModeAttr() {
    return ::llvm::dyn_cast_or_null<::mlir::StringAttr>(getProperties().nan_mode);
  }

  ::llvm::StringRef getNanMode();
  void setKernelAttr(::mlir::DenseI64ArrayAttr attr) {
    getProperties().kernel = attr;
  }

  void setKernel(::llvm::ArrayRef<int64_t> attrValue);
  void setStrideAttr(::mlir::DenseI64ArrayAttr attr) {
    getProperties().stride = attr;
  }

  void setStride(::llvm::ArrayRef<int64_t> attrValue);
  void setPadAttr(::mlir::DenseI64ArrayAttr attr) {
    getProperties().pad = attr;
  }

  void setPad(::llvm::ArrayRef<int64_t> attrValue);
  void setNanModeAttr(::mlir::StringAttr attr) {
    getProperties().nan_mode = attr;
  }

  void setNanMode(::llvm::StringRef attrValue);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input, ::mlir::DenseI64ArrayAttr kernel, ::mlir::DenseI64ArrayAttr stride, ::mlir::DenseI64ArrayAttr pad, ::mlir::StringAttr nan_mode = nullptr);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input, ::mlir::DenseI64ArrayAttr kernel, ::mlir::DenseI64ArrayAttr stride, ::mlir::DenseI64ArrayAttr pad, ::mlir::StringAttr nan_mode = nullptr);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input, ::llvm::ArrayRef<int64_t> kernel, ::llvm::ArrayRef<int64_t> stride, ::llvm::ArrayRef<int64_t> pad, ::llvm::StringRef nan_mode = "PROPAGATE");
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input, ::llvm::ArrayRef<int64_t> kernel, ::llvm::ArrayRef<int64_t> stride, ::llvm::ArrayRef<int64_t> pad, ::llvm::StringRef nan_mode = "PROPAGATE");
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static void populateDefaultProperties(::mlir::OperationName opName, Properties &properties);
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  static void getCanonicalizationPatterns(::mlir::RewritePatternSet &results, ::mlir::MLIRContext *context);
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
private:
  ::mlir::StringAttr getAttributeNameForIndex(unsigned index) {
    return getAttributeNameForIndex((*this)->getName(), index);
  }

  static ::mlir::StringAttr getAttributeNameForIndex(::mlir::OperationName name, unsigned index) {
    assert(index < 4 && "invalid attribute index");
    assert(name.getStringRef() == getOperationName() && "invalid operation name");
    assert(name.isRegistered() && "Operation isn't registered, missing a "
          "dependent dialect loading?");
    return name.getAttributeNames()[index];
  }

public:
  static ::llvm::LogicalResult
  inferReturnTypeComponents(::mlir::MLIRContext *context,
                          std::optional<::mlir::Location> location,
                          Adaptor adaptor,
                          ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents> &inferredReturnShapes);

};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::MaxPool2dOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::MaximumOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class MaximumOpGenericAdaptorBase {
public:
  struct Properties {
    using nan_modeTy = ::mlir::StringAttr;
    nan_modeTy nan_mode;

    auto getNanMode() {
      auto &propStorage = this->nan_mode;
      return ::llvm::dyn_cast_or_null<::mlir::StringAttr>(propStorage);
    }
    void setNanMode(const ::mlir::StringAttr &propValue) {
      this->nan_mode = propValue;
    }
    bool operator==(const Properties &rhs) const {
      return 
        rhs.nan_mode == this->nan_mode &&
        true;
    }
    bool operator!=(const Properties &rhs) const {
      return !(*this == rhs);
    }
  };
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  Properties properties;
  ::mlir::RegionRange odsRegions;
public:
  MaximumOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.maximum", odsAttrs.getContext());
  }

  MaximumOpGenericAdaptorBase(MaximumOp op);

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  const Properties &getProperties() {
    return properties;
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

  ::mlir::StringAttr getNanModeAttr();
  ::llvm::StringRef getNanMode();
};
} // namespace detail
template <typename RangeT>
class MaximumOpGenericAdaptor : public detail::MaximumOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::MaximumOpGenericAdaptorBase;
public:
  MaximumOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  MaximumOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : MaximumOpGenericAdaptor(values, attrs, (properties ? *properties.as<Properties *>() : Properties{}), regions) {}

  MaximumOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = nullptr) : MaximumOpGenericAdaptor(values, attrs, Properties{}, {}) {}

  MaximumOpGenericAdaptor(RangeT values, const MaximumOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = MaximumOp, typename = std::enable_if_t<std::is_same_v<LateInst, MaximumOp>>>
  MaximumOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput1() {
    return (*getODSOperands(0).begin());
  }

  ValueT getInput2() {
    return (*getODSOperands(1).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class MaximumOpAdaptor : public MaximumOpGenericAdaptor<::mlir::ValueRange> {
public:
  using MaximumOpGenericAdaptor::MaximumOpGenericAdaptor;
  MaximumOpAdaptor(MaximumOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class MaximumOp : public ::mlir::Op<MaximumOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::NOperands<2>::Impl, ::mlir::OpTrait::OpInvariants, ::mlir::BytecodeOpInterface::Trait, ::mlir::OpTrait::IsCommutative, ::mlir::OpTrait::ResultsBroadcastableShape, ::mlir::OpTrait::SameOperandsAndResultElementType, ::mlir::OpTrait::SameOperandsAndResultRank, ::mlir::InferShapedTypeOpInterface::Trait, mlir::OpTrait::tosa::TosaElementwiseOperator, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = MaximumOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = MaximumOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    static ::llvm::StringRef attrNames[] = {::llvm::StringRef("nan_mode")};
    return ::llvm::ArrayRef(attrNames);
  }

  ::mlir::StringAttr getNanModeAttrName() {
    return getAttributeNameForIndex(0);
  }

  static ::mlir::StringAttr getNanModeAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 0);
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.maximum");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput1() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput2() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(1).begin());
  }

  ::mlir::OpOperand &getInput1Mutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getInput2Mutable() {
    auto range = getODSOperandIndexAndLength(1);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static ::llvm::LogicalResult setPropertiesFromAttr(Properties &prop, ::mlir::Attribute attr, ::llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::mlir::Attribute getPropertiesAsAttr(::mlir::MLIRContext *ctx, const Properties &prop);
  static llvm::hash_code computePropertiesHash(const Properties &prop);
  static std::optional<mlir::Attribute> getInherentAttr(::mlir::MLIRContext *ctx, const Properties &prop, llvm::StringRef name);
  static void setInherentAttr(Properties &prop, llvm::StringRef name, mlir::Attribute value);
  static void populateInherentAttrs(::mlir::MLIRContext *ctx, const Properties &prop, ::mlir::NamedAttrList &attrs);
  static ::llvm::LogicalResult verifyInherentAttrs(::mlir::OperationName opName, ::mlir::NamedAttrList &attrs, llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::llvm::LogicalResult readProperties(::mlir::DialectBytecodeReader &reader, ::mlir::OperationState &state);
  void writeProperties(::mlir::DialectBytecodeWriter &writer);
  ::mlir::StringAttr getNanModeAttr() {
    return ::llvm::dyn_cast_or_null<::mlir::StringAttr>(getProperties().nan_mode);
  }

  ::llvm::StringRef getNanMode();
  void setNanModeAttr(::mlir::StringAttr attr) {
    getProperties().nan_mode = attr;
  }

  void setNanMode(::llvm::StringRef attrValue);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1, ::mlir::Value input2, ::mlir::StringAttr nan_mode);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1, ::mlir::Value input2, ::mlir::StringAttr nan_mode);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1, ::mlir::Value input2, ::llvm::StringRef nan_mode = "PROPAGATE");
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1, ::mlir::Value input2, ::llvm::StringRef nan_mode = "PROPAGATE");
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static void populateDefaultProperties(::mlir::OperationName opName, Properties &properties);
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
private:
  ::mlir::StringAttr getAttributeNameForIndex(unsigned index) {
    return getAttributeNameForIndex((*this)->getName(), index);
  }

  static ::mlir::StringAttr getAttributeNameForIndex(::mlir::OperationName name, unsigned index) {
    assert(index < 1 && "invalid attribute index");
    assert(name.getStringRef() == getOperationName() && "invalid operation name");
    assert(name.isRegistered() && "Operation isn't registered, missing a "
          "dependent dialect loading?");
    return name.getAttributeNames()[index];
  }

public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::MaximumOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::MinimumOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class MinimumOpGenericAdaptorBase {
public:
  struct Properties {
    using nan_modeTy = ::mlir::StringAttr;
    nan_modeTy nan_mode;

    auto getNanMode() {
      auto &propStorage = this->nan_mode;
      return ::llvm::dyn_cast_or_null<::mlir::StringAttr>(propStorage);
    }
    void setNanMode(const ::mlir::StringAttr &propValue) {
      this->nan_mode = propValue;
    }
    bool operator==(const Properties &rhs) const {
      return 
        rhs.nan_mode == this->nan_mode &&
        true;
    }
    bool operator!=(const Properties &rhs) const {
      return !(*this == rhs);
    }
  };
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  Properties properties;
  ::mlir::RegionRange odsRegions;
public:
  MinimumOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.minimum", odsAttrs.getContext());
  }

  MinimumOpGenericAdaptorBase(MinimumOp op);

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  const Properties &getProperties() {
    return properties;
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

  ::mlir::StringAttr getNanModeAttr();
  ::llvm::StringRef getNanMode();
};
} // namespace detail
template <typename RangeT>
class MinimumOpGenericAdaptor : public detail::MinimumOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::MinimumOpGenericAdaptorBase;
public:
  MinimumOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  MinimumOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : MinimumOpGenericAdaptor(values, attrs, (properties ? *properties.as<Properties *>() : Properties{}), regions) {}

  MinimumOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = nullptr) : MinimumOpGenericAdaptor(values, attrs, Properties{}, {}) {}

  MinimumOpGenericAdaptor(RangeT values, const MinimumOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = MinimumOp, typename = std::enable_if_t<std::is_same_v<LateInst, MinimumOp>>>
  MinimumOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput1() {
    return (*getODSOperands(0).begin());
  }

  ValueT getInput2() {
    return (*getODSOperands(1).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class MinimumOpAdaptor : public MinimumOpGenericAdaptor<::mlir::ValueRange> {
public:
  using MinimumOpGenericAdaptor::MinimumOpGenericAdaptor;
  MinimumOpAdaptor(MinimumOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class MinimumOp : public ::mlir::Op<MinimumOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::NOperands<2>::Impl, ::mlir::OpTrait::OpInvariants, ::mlir::BytecodeOpInterface::Trait, ::mlir::OpTrait::IsCommutative, ::mlir::OpTrait::ResultsBroadcastableShape, ::mlir::OpTrait::SameOperandsAndResultElementType, ::mlir::OpTrait::SameOperandsAndResultRank, ::mlir::InferShapedTypeOpInterface::Trait, mlir::OpTrait::tosa::TosaElementwiseOperator, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = MinimumOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = MinimumOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    static ::llvm::StringRef attrNames[] = {::llvm::StringRef("nan_mode")};
    return ::llvm::ArrayRef(attrNames);
  }

  ::mlir::StringAttr getNanModeAttrName() {
    return getAttributeNameForIndex(0);
  }

  static ::mlir::StringAttr getNanModeAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 0);
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.minimum");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput1() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput2() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(1).begin());
  }

  ::mlir::OpOperand &getInput1Mutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getInput2Mutable() {
    auto range = getODSOperandIndexAndLength(1);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static ::llvm::LogicalResult setPropertiesFromAttr(Properties &prop, ::mlir::Attribute attr, ::llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::mlir::Attribute getPropertiesAsAttr(::mlir::MLIRContext *ctx, const Properties &prop);
  static llvm::hash_code computePropertiesHash(const Properties &prop);
  static std::optional<mlir::Attribute> getInherentAttr(::mlir::MLIRContext *ctx, const Properties &prop, llvm::StringRef name);
  static void setInherentAttr(Properties &prop, llvm::StringRef name, mlir::Attribute value);
  static void populateInherentAttrs(::mlir::MLIRContext *ctx, const Properties &prop, ::mlir::NamedAttrList &attrs);
  static ::llvm::LogicalResult verifyInherentAttrs(::mlir::OperationName opName, ::mlir::NamedAttrList &attrs, llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::llvm::LogicalResult readProperties(::mlir::DialectBytecodeReader &reader, ::mlir::OperationState &state);
  void writeProperties(::mlir::DialectBytecodeWriter &writer);
  ::mlir::StringAttr getNanModeAttr() {
    return ::llvm::dyn_cast_or_null<::mlir::StringAttr>(getProperties().nan_mode);
  }

  ::llvm::StringRef getNanMode();
  void setNanModeAttr(::mlir::StringAttr attr) {
    getProperties().nan_mode = attr;
  }

  void setNanMode(::llvm::StringRef attrValue);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1, ::mlir::Value input2, ::mlir::StringAttr nan_mode);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1, ::mlir::Value input2, ::mlir::StringAttr nan_mode);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1, ::mlir::Value input2, ::llvm::StringRef nan_mode = "PROPAGATE");
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1, ::mlir::Value input2, ::llvm::StringRef nan_mode = "PROPAGATE");
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static void populateDefaultProperties(::mlir::OperationName opName, Properties &properties);
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
private:
  ::mlir::StringAttr getAttributeNameForIndex(unsigned index) {
    return getAttributeNameForIndex((*this)->getName(), index);
  }

  static ::mlir::StringAttr getAttributeNameForIndex(::mlir::OperationName name, unsigned index) {
    assert(index < 1 && "invalid attribute index");
    assert(name.getStringRef() == getOperationName() && "invalid operation name");
    assert(name.isRegistered() && "Operation isn't registered, missing a "
          "dependent dialect loading?");
    return name.getAttributeNames()[index];
  }

public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::MinimumOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::MulOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class MulOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  MulOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.mul", odsAttrs.getContext());
  }

  MulOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize);
  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

};
} // namespace detail
template <typename RangeT>
class MulOpGenericAdaptor : public detail::MulOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::MulOpGenericAdaptorBase;
public:
  MulOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  MulOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : MulOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  MulOpGenericAdaptor(RangeT values, const MulOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = MulOp, typename = std::enable_if_t<std::is_same_v<LateInst, MulOp>>>
  MulOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput1() {
    return (*getODSOperands(0).begin());
  }

  ValueT getInput2() {
    return (*getODSOperands(1).begin());
  }

  ValueT getShift() {
    auto operands = getODSOperands(2);
    return operands.empty() ? ValueT{} : (*operands.begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class MulOpAdaptor : public MulOpGenericAdaptor<::mlir::ValueRange> {
public:
  using MulOpGenericAdaptor::MulOpGenericAdaptor;
  MulOpAdaptor(MulOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class MulOp : public ::mlir::Op<MulOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::AtLeastNOperands<2>::Impl, ::mlir::OpTrait::OpInvariants, ::mlir::OpTrait::IsCommutative, mlir::OpTrait::tosa::MulOperandsAndResultElementType, ::mlir::InferShapedTypeOpInterface::Trait, mlir::OpTrait::tosa::TosaElementwiseOperator, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = MulOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = MulOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.mul");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index);
  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput1() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput2() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(1).begin());
  }

  ::mlir::TypedValue<::mlir::RankedTensorType> getShift() {
    auto operands = getODSOperands(2);
    return operands.empty() ? ::mlir::TypedValue<::mlir::RankedTensorType>{} : ::llvm::cast<::mlir::TypedValue<::mlir::RankedTensorType>>(*operands.begin());
  }

  ::mlir::OpOperand &getInput1Mutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getInput2Mutable() {
    auto range = getODSOperandIndexAndLength(1);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::MutableOperandRange getShiftMutable();
  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1, ::mlir::Value input2, /*optional*/::mlir::Value shift);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1, ::mlir::Value input2, /*optional*/::mlir::Value shift);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  ::llvm::LogicalResult verify();
  ::mlir::OpFoldResult fold(FoldAdaptor adaptor);
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::MulOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::NegateOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class NegateOpGenericAdaptorBase {
public:
  struct Properties {
    using quantization_infoTy = mlir::tosa::UnaryOpQuantizationAttr;
    quantization_infoTy quantization_info;

    auto getQuantizationInfo() {
      auto &propStorage = this->quantization_info;
      return ::llvm::dyn_cast_or_null<mlir::tosa::UnaryOpQuantizationAttr>(propStorage);
    }
    void setQuantizationInfo(const mlir::tosa::UnaryOpQuantizationAttr &propValue) {
      this->quantization_info = propValue;
    }
    bool operator==(const Properties &rhs) const {
      return 
        rhs.quantization_info == this->quantization_info &&
        true;
    }
    bool operator!=(const Properties &rhs) const {
      return !(*this == rhs);
    }
  };
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  Properties properties;
  ::mlir::RegionRange odsRegions;
public:
  NegateOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.negate", odsAttrs.getContext());
  }

  NegateOpGenericAdaptorBase(NegateOp op);

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  const Properties &getProperties() {
    return properties;
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

  mlir::tosa::UnaryOpQuantizationAttr getQuantizationInfoAttr() {
    auto attr = ::llvm::dyn_cast_or_null<mlir::tosa::UnaryOpQuantizationAttr>(getProperties().quantization_info);
    return attr;
  }

  ::std::optional<mlir::tosa::UnaryOpQuantizationAttr> getQuantizationInfo();
};
} // namespace detail
template <typename RangeT>
class NegateOpGenericAdaptor : public detail::NegateOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::NegateOpGenericAdaptorBase;
public:
  NegateOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  NegateOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : NegateOpGenericAdaptor(values, attrs, (properties ? *properties.as<Properties *>() : Properties{}), regions) {}

  NegateOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = nullptr) : NegateOpGenericAdaptor(values, attrs, Properties{}, {}) {}

  NegateOpGenericAdaptor(RangeT values, const NegateOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = NegateOp, typename = std::enable_if_t<std::is_same_v<LateInst, NegateOp>>>
  NegateOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput1() {
    return (*getODSOperands(0).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class NegateOpAdaptor : public NegateOpGenericAdaptor<::mlir::ValueRange> {
public:
  using NegateOpGenericAdaptor::NegateOpGenericAdaptor;
  NegateOpAdaptor(NegateOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class NegateOp : public ::mlir::Op<NegateOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::OneOperand, ::mlir::OpTrait::OpInvariants, ::mlir::BytecodeOpInterface::Trait, ::mlir::OpTrait::SameOperandsAndResultShape, ::mlir::OpTrait::ResultsBroadcastableShape, ::mlir::OpTrait::SameOperandsAndResultRank, ::mlir::OpTrait::SameOperandsAndResultElementType, ::mlir::InferShapedTypeOpInterface::Trait, mlir::OpTrait::tosa::TosaElementwiseOperator, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = NegateOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = NegateOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    static ::llvm::StringRef attrNames[] = {::llvm::StringRef("quantization_info")};
    return ::llvm::ArrayRef(attrNames);
  }

  ::mlir::StringAttr getQuantizationInfoAttrName() {
    return getAttributeNameForIndex(0);
  }

  static ::mlir::StringAttr getQuantizationInfoAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 0);
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.negate");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput1() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::OpOperand &getInput1Mutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static ::llvm::LogicalResult setPropertiesFromAttr(Properties &prop, ::mlir::Attribute attr, ::llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::mlir::Attribute getPropertiesAsAttr(::mlir::MLIRContext *ctx, const Properties &prop);
  static llvm::hash_code computePropertiesHash(const Properties &prop);
  static std::optional<mlir::Attribute> getInherentAttr(::mlir::MLIRContext *ctx, const Properties &prop, llvm::StringRef name);
  static void setInherentAttr(Properties &prop, llvm::StringRef name, mlir::Attribute value);
  static void populateInherentAttrs(::mlir::MLIRContext *ctx, const Properties &prop, ::mlir::NamedAttrList &attrs);
  static ::llvm::LogicalResult verifyInherentAttrs(::mlir::OperationName opName, ::mlir::NamedAttrList &attrs, llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::llvm::LogicalResult readProperties(::mlir::DialectBytecodeReader &reader, ::mlir::OperationState &state);
  void writeProperties(::mlir::DialectBytecodeWriter &writer);
  mlir::tosa::UnaryOpQuantizationAttr getQuantizationInfoAttr() {
    return ::llvm::dyn_cast_or_null<mlir::tosa::UnaryOpQuantizationAttr>(getProperties().quantization_info);
  }

  ::std::optional<mlir::tosa::UnaryOpQuantizationAttr> getQuantizationInfo();
  void setQuantizationInfoAttr(mlir::tosa::UnaryOpQuantizationAttr attr) {
    getProperties().quantization_info = attr;
  }

  ::mlir::Attribute removeQuantizationInfoAttr() {
      auto &attr = getProperties().quantization_info;
      attr = {};
      return attr;
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, Type outputType, Value input);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1, /*optional*/mlir::tosa::UnaryOpQuantizationAttr quantization_info);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1, /*optional*/mlir::tosa::UnaryOpQuantizationAttr quantization_info);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  ::mlir::OpFoldResult fold(FoldAdaptor adaptor);
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
private:
  ::mlir::StringAttr getAttributeNameForIndex(unsigned index) {
    return getAttributeNameForIndex((*this)->getName(), index);
  }

  static ::mlir::StringAttr getAttributeNameForIndex(::mlir::OperationName name, unsigned index) {
    assert(index < 1 && "invalid attribute index");
    assert(name.getStringRef() == getOperationName() && "invalid operation name");
    assert(name.isRegistered() && "Operation isn't registered, missing a "
          "dependent dialect loading?");
    return name.getAttributeNames()[index];
  }

public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::NegateOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::PadOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class PadOpGenericAdaptorBase {
public:
  struct Properties {
    using quantization_infoTy = mlir::tosa::PadOpQuantizationAttr;
    quantization_infoTy quantization_info;

    auto getQuantizationInfo() {
      auto &propStorage = this->quantization_info;
      return ::llvm::dyn_cast_or_null<mlir::tosa::PadOpQuantizationAttr>(propStorage);
    }
    void setQuantizationInfo(const mlir::tosa::PadOpQuantizationAttr &propValue) {
      this->quantization_info = propValue;
    }
    bool operator==(const Properties &rhs) const {
      return 
        rhs.quantization_info == this->quantization_info &&
        true;
    }
    bool operator!=(const Properties &rhs) const {
      return !(*this == rhs);
    }
  };
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  Properties properties;
  ::mlir::RegionRange odsRegions;
public:
  PadOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.pad", odsAttrs.getContext());
  }

  PadOpGenericAdaptorBase(PadOp op);

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize);
  const Properties &getProperties() {
    return properties;
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

  mlir::tosa::PadOpQuantizationAttr getQuantizationInfoAttr() {
    auto attr = ::llvm::dyn_cast_or_null<mlir::tosa::PadOpQuantizationAttr>(getProperties().quantization_info);
    return attr;
  }

  ::std::optional<mlir::tosa::PadOpQuantizationAttr> getQuantizationInfo();
};
} // namespace detail
template <typename RangeT>
class PadOpGenericAdaptor : public detail::PadOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::PadOpGenericAdaptorBase;
public:
  PadOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  PadOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : PadOpGenericAdaptor(values, attrs, (properties ? *properties.as<Properties *>() : Properties{}), regions) {}

  PadOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = nullptr) : PadOpGenericAdaptor(values, attrs, Properties{}, {}) {}

  PadOpGenericAdaptor(RangeT values, const PadOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = PadOp, typename = std::enable_if_t<std::is_same_v<LateInst, PadOp>>>
  PadOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput1() {
    return (*getODSOperands(0).begin());
  }

  ValueT getPadding() {
    return (*getODSOperands(1).begin());
  }

  ValueT getPadConst() {
    auto operands = getODSOperands(2);
    return operands.empty() ? ValueT{} : (*operands.begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class PadOpAdaptor : public PadOpGenericAdaptor<::mlir::ValueRange> {
public:
  using PadOpGenericAdaptor::PadOpGenericAdaptor;
  PadOpAdaptor(PadOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class PadOp : public ::mlir::Op<PadOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::RankedTensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::AtLeastNOperands<2>::Impl, ::mlir::OpTrait::OpInvariants, ::mlir::BytecodeOpInterface::Trait, ::mlir::InferShapedTypeOpInterface::Trait, ::mlir::OpTrait::InferShapedTypeOpAdaptor, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = PadOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = PadOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    static ::llvm::StringRef attrNames[] = {::llvm::StringRef("quantization_info")};
    return ::llvm::ArrayRef(attrNames);
  }

  ::mlir::StringAttr getQuantizationInfoAttrName() {
    return getAttributeNameForIndex(0);
  }

  static ::mlir::StringAttr getQuantizationInfoAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 0);
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.pad");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index);
  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::RankedTensorType> getInput1() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::RankedTensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::TypedValue<mlir::tosa::shapeType> getPadding() {
    return ::llvm::cast<::mlir::TypedValue<mlir::tosa::shapeType>>(*getODSOperands(1).begin());
  }

  ::mlir::TypedValue<::mlir::RankedTensorType> getPadConst() {
    auto operands = getODSOperands(2);
    return operands.empty() ? ::mlir::TypedValue<::mlir::RankedTensorType>{} : ::llvm::cast<::mlir::TypedValue<::mlir::RankedTensorType>>(*operands.begin());
  }

  ::mlir::OpOperand &getInput1Mutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getPaddingMutable() {
    auto range = getODSOperandIndexAndLength(1);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::MutableOperandRange getPadConstMutable();
  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::RankedTensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::RankedTensorType>>(*getODSResults(0).begin());
  }

  static ::llvm::LogicalResult setPropertiesFromAttr(Properties &prop, ::mlir::Attribute attr, ::llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::mlir::Attribute getPropertiesAsAttr(::mlir::MLIRContext *ctx, const Properties &prop);
  static llvm::hash_code computePropertiesHash(const Properties &prop);
  static std::optional<mlir::Attribute> getInherentAttr(::mlir::MLIRContext *ctx, const Properties &prop, llvm::StringRef name);
  static void setInherentAttr(Properties &prop, llvm::StringRef name, mlir::Attribute value);
  static void populateInherentAttrs(::mlir::MLIRContext *ctx, const Properties &prop, ::mlir::NamedAttrList &attrs);
  static ::llvm::LogicalResult verifyInherentAttrs(::mlir::OperationName opName, ::mlir::NamedAttrList &attrs, llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::llvm::LogicalResult readProperties(::mlir::DialectBytecodeReader &reader, ::mlir::OperationState &state);
  void writeProperties(::mlir::DialectBytecodeWriter &writer);
  mlir::tosa::PadOpQuantizationAttr getQuantizationInfoAttr() {
    return ::llvm::dyn_cast_or_null<mlir::tosa::PadOpQuantizationAttr>(getProperties().quantization_info);
  }

  ::std::optional<mlir::tosa::PadOpQuantizationAttr> getQuantizationInfo();
  void setQuantizationInfoAttr(mlir::tosa::PadOpQuantizationAttr attr) {
    getProperties().quantization_info = attr;
  }

  ::mlir::Attribute removeQuantizationInfoAttr() {
      auto &attr = getProperties().quantization_info;
      attr = {};
      return attr;
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, Type outputType, Value input, Value paddings);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, Type outputType, Value input, Value paddings, Value pad_value);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1, ::mlir::Value padding, /*optional*/::mlir::Value pad_const, /*optional*/mlir::tosa::PadOpQuantizationAttr quantization_info);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1, ::mlir::Value padding, /*optional*/::mlir::Value pad_const, /*optional*/mlir::tosa::PadOpQuantizationAttr quantization_info);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  ::llvm::LogicalResult verify();
  static void getCanonicalizationPatterns(::mlir::RewritePatternSet &results, ::mlir::MLIRContext *context);
  ::mlir::OpFoldResult fold(FoldAdaptor adaptor);
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
private:
  ::mlir::StringAttr getAttributeNameForIndex(unsigned index) {
    return getAttributeNameForIndex((*this)->getName(), index);
  }

  static ::mlir::StringAttr getAttributeNameForIndex(::mlir::OperationName name, unsigned index) {
    assert(index < 1 && "invalid attribute index");
    assert(name.getStringRef() == getOperationName() && "invalid operation name");
    assert(name.isRegistered() && "Operation isn't registered, missing a "
          "dependent dialect loading?");
    return name.getAttributeNames()[index];
  }

public:
  static ::llvm::LogicalResult
  inferReturnTypeComponents(::mlir::MLIRContext *context,
                          std::optional<::mlir::Location> location,
                          Adaptor adaptor,
                          ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents> &inferredReturnShapes);

};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::PadOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::PowOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class PowOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  PowOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.pow", odsAttrs.getContext());
  }

  PowOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

};
} // namespace detail
template <typename RangeT>
class PowOpGenericAdaptor : public detail::PowOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::PowOpGenericAdaptorBase;
public:
  PowOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  PowOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : PowOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  PowOpGenericAdaptor(RangeT values, const PowOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = PowOp, typename = std::enable_if_t<std::is_same_v<LateInst, PowOp>>>
  PowOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput1() {
    return (*getODSOperands(0).begin());
  }

  ValueT getInput2() {
    return (*getODSOperands(1).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class PowOpAdaptor : public PowOpGenericAdaptor<::mlir::ValueRange> {
public:
  using PowOpGenericAdaptor::PowOpGenericAdaptor;
  PowOpAdaptor(PowOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class PowOp : public ::mlir::Op<PowOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::NOperands<2>::Impl, ::mlir::OpTrait::OpInvariants, ::mlir::OpTrait::ResultsBroadcastableShape, ::mlir::OpTrait::SameOperandsAndResultElementType, ::mlir::OpTrait::SameOperandsAndResultRank, ::mlir::InferShapedTypeOpInterface::Trait, mlir::OpTrait::tosa::TosaElementwiseOperator, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = PowOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = PowOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.pow");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput1() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput2() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(1).begin());
  }

  ::mlir::OpOperand &getInput1Mutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getInput2Mutable() {
    auto range = getODSOperandIndexAndLength(1);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1, ::mlir::Value input2);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1, ::mlir::Value input2);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::PowOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::RFFT2dOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class RFFT2dOpGenericAdaptorBase {
public:
  struct Properties {
    using local_boundTy = ::mlir::BoolAttr;
    local_boundTy local_bound;

    auto getLocalBound() {
      auto &propStorage = this->local_bound;
      return ::llvm::dyn_cast_or_null<::mlir::BoolAttr>(propStorage);
    }
    void setLocalBound(const ::mlir::BoolAttr &propValue) {
      this->local_bound = propValue;
    }
    bool operator==(const Properties &rhs) const {
      return 
        rhs.local_bound == this->local_bound &&
        true;
    }
    bool operator!=(const Properties &rhs) const {
      return !(*this == rhs);
    }
  };
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  Properties properties;
  ::mlir::RegionRange odsRegions;
public:
  RFFT2dOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.rfft2d", odsAttrs.getContext());
  }

  RFFT2dOpGenericAdaptorBase(RFFT2dOp op);

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  const Properties &getProperties() {
    return properties;
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

  ::mlir::BoolAttr getLocalBoundAttr();
  bool getLocalBound();
};
} // namespace detail
template <typename RangeT>
class RFFT2dOpGenericAdaptor : public detail::RFFT2dOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::RFFT2dOpGenericAdaptorBase;
public:
  RFFT2dOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  RFFT2dOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : RFFT2dOpGenericAdaptor(values, attrs, (properties ? *properties.as<Properties *>() : Properties{}), regions) {}

  RFFT2dOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = nullptr) : RFFT2dOpGenericAdaptor(values, attrs, Properties{}, {}) {}

  RFFT2dOpGenericAdaptor(RangeT values, const RFFT2dOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = RFFT2dOp, typename = std::enable_if_t<std::is_same_v<LateInst, RFFT2dOp>>>
  RFFT2dOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput() {
    return (*getODSOperands(0).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class RFFT2dOpAdaptor : public RFFT2dOpGenericAdaptor<::mlir::ValueRange> {
public:
  using RFFT2dOpGenericAdaptor::RFFT2dOpGenericAdaptor;
  RFFT2dOpAdaptor(RFFT2dOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class RFFT2dOp : public ::mlir::Op<RFFT2dOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::NResults<2>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::OneOperand, ::mlir::OpTrait::OpInvariants, ::mlir::BytecodeOpInterface::Trait, ::mlir::InferShapedTypeOpInterface::Trait, ::mlir::OpTrait::InferShapedTypeOpAdaptor, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands, ::mlir::OpAsmOpInterface::Trait> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = RFFT2dOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = RFFT2dOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    static ::llvm::StringRef attrNames[] = {::llvm::StringRef("local_bound")};
    return ::llvm::ArrayRef(attrNames);
  }

  ::mlir::StringAttr getLocalBoundAttrName() {
    return getAttributeNameForIndex(0);
  }

  static ::mlir::StringAttr getLocalBoundAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 0);
  }

  void getAsmResultNames(::mlir::OpAsmSetValueNameFn setNameFn);
  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.rfft2d");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::OpOperand &getInputMutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutputReal() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutputImag() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(1).begin());
  }

  static ::llvm::LogicalResult setPropertiesFromAttr(Properties &prop, ::mlir::Attribute attr, ::llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::mlir::Attribute getPropertiesAsAttr(::mlir::MLIRContext *ctx, const Properties &prop);
  static llvm::hash_code computePropertiesHash(const Properties &prop);
  static std::optional<mlir::Attribute> getInherentAttr(::mlir::MLIRContext *ctx, const Properties &prop, llvm::StringRef name);
  static void setInherentAttr(Properties &prop, llvm::StringRef name, mlir::Attribute value);
  static void populateInherentAttrs(::mlir::MLIRContext *ctx, const Properties &prop, ::mlir::NamedAttrList &attrs);
  static ::llvm::LogicalResult verifyInherentAttrs(::mlir::OperationName opName, ::mlir::NamedAttrList &attrs, llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::llvm::LogicalResult readProperties(::mlir::DialectBytecodeReader &reader, ::mlir::OperationState &state);
  void writeProperties(::mlir::DialectBytecodeWriter &writer);
  ::mlir::BoolAttr getLocalBoundAttr() {
    return ::llvm::dyn_cast_or_null<::mlir::BoolAttr>(getProperties().local_bound);
  }

  bool getLocalBound();
  void setLocalBoundAttr(::mlir::BoolAttr attr) {
    getProperties().local_bound = attr;
  }

  void setLocalBound(::std::optional<bool> attrValue);
  ::mlir::Attribute removeLocalBoundAttr() {
      auto &attr = getProperties().local_bound;
      attr = {};
      return attr;
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output_real, ::mlir::Type output_imag, ::mlir::Value input, /*optional*/::mlir::BoolAttr local_bound);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input, /*optional*/::mlir::BoolAttr local_bound);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output_real, ::mlir::Type output_imag, ::mlir::Value input, /*optional*/bool local_bound = false);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input, /*optional*/bool local_bound = false);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
private:
  ::mlir::StringAttr getAttributeNameForIndex(unsigned index) {
    return getAttributeNameForIndex((*this)->getName(), index);
  }

  static ::mlir::StringAttr getAttributeNameForIndex(::mlir::OperationName name, unsigned index) {
    assert(index < 1 && "invalid attribute index");
    assert(name.getStringRef() == getOperationName() && "invalid operation name");
    assert(name.isRegistered() && "Operation isn't registered, missing a "
          "dependent dialect loading?");
    return name.getAttributeNames()[index];
  }

public:
  static ::llvm::LogicalResult
  inferReturnTypeComponents(::mlir::MLIRContext *context,
                          std::optional<::mlir::Location> location,
                          Adaptor adaptor,
                          ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents> &inferredReturnShapes);

};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::RFFT2dOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::ReciprocalOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class ReciprocalOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  ReciprocalOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.reciprocal", odsAttrs.getContext());
  }

  ReciprocalOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

};
} // namespace detail
template <typename RangeT>
class ReciprocalOpGenericAdaptor : public detail::ReciprocalOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::ReciprocalOpGenericAdaptorBase;
public:
  ReciprocalOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  ReciprocalOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : ReciprocalOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  ReciprocalOpGenericAdaptor(RangeT values, const ReciprocalOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = ReciprocalOp, typename = std::enable_if_t<std::is_same_v<LateInst, ReciprocalOp>>>
  ReciprocalOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput1() {
    return (*getODSOperands(0).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class ReciprocalOpAdaptor : public ReciprocalOpGenericAdaptor<::mlir::ValueRange> {
public:
  using ReciprocalOpGenericAdaptor::ReciprocalOpGenericAdaptor;
  ReciprocalOpAdaptor(ReciprocalOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class ReciprocalOp : public ::mlir::Op<ReciprocalOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::OneOperand, ::mlir::OpTrait::OpInvariants, ::mlir::OpTrait::SameOperandsAndResultShape, ::mlir::OpTrait::ResultsBroadcastableShape, ::mlir::OpTrait::SameOperandsAndResultRank, ::mlir::OpTrait::SameOperandsAndResultElementType, ::mlir::InferShapedTypeOpInterface::Trait, mlir::OpTrait::tosa::TosaElementwiseOperator, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = ReciprocalOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = ReciprocalOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.reciprocal");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput1() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::OpOperand &getInput1Mutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  ::mlir::OpFoldResult fold(FoldAdaptor adaptor);
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
  /// Return the reciprocal result on the operand.
  static inline APFloat calcOneElement(const APFloat &operand) {
    APFloat recip = APFloat(operand.getSemantics(), 1);
    recip.divide(operand, APFloat::rmNearestTiesToEven);
    return recip;
  }
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::ReciprocalOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::ReduceAllOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class ReduceAllOpGenericAdaptorBase {
public:
  struct Properties {
    using axisTy = ::mlir::IntegerAttr;
    axisTy axis;

    auto getAxis() {
      auto &propStorage = this->axis;
      return ::llvm::cast<::mlir::IntegerAttr>(propStorage);
    }
    void setAxis(const ::mlir::IntegerAttr &propValue) {
      this->axis = propValue;
    }
    bool operator==(const Properties &rhs) const {
      return 
        rhs.axis == this->axis &&
        true;
    }
    bool operator!=(const Properties &rhs) const {
      return !(*this == rhs);
    }
  };
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  Properties properties;
  ::mlir::RegionRange odsRegions;
public:
  ReduceAllOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.reduce_all", odsAttrs.getContext());
  }

  ReduceAllOpGenericAdaptorBase(ReduceAllOp op);

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  const Properties &getProperties() {
    return properties;
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

  ::mlir::IntegerAttr getAxisAttr() {
    auto attr = ::llvm::cast<::mlir::IntegerAttr>(getProperties().axis);
    return attr;
  }

  uint32_t getAxis();
};
} // namespace detail
template <typename RangeT>
class ReduceAllOpGenericAdaptor : public detail::ReduceAllOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::ReduceAllOpGenericAdaptorBase;
public:
  ReduceAllOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  ReduceAllOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : ReduceAllOpGenericAdaptor(values, attrs, (properties ? *properties.as<Properties *>() : Properties{}), regions) {}

  ReduceAllOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = nullptr) : ReduceAllOpGenericAdaptor(values, attrs, Properties{}, {}) {}

  ReduceAllOpGenericAdaptor(RangeT values, const ReduceAllOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = ReduceAllOp, typename = std::enable_if_t<std::is_same_v<LateInst, ReduceAllOp>>>
  ReduceAllOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput() {
    return (*getODSOperands(0).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class ReduceAllOpAdaptor : public ReduceAllOpGenericAdaptor<::mlir::ValueRange> {
public:
  using ReduceAllOpGenericAdaptor::ReduceAllOpGenericAdaptor;
  ReduceAllOpAdaptor(ReduceAllOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class ReduceAllOp : public ::mlir::Op<ReduceAllOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::OneOperand, ::mlir::OpTrait::OpInvariants, ::mlir::BytecodeOpInterface::Trait, ::mlir::InferTypeOpInterface::Trait, ::mlir::InferShapedTypeOpInterface::Trait, ::mlir::OpTrait::InferShapedTypeOpAdaptor, ::mlir::OpTrait::InferTensorType, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = ReduceAllOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = ReduceAllOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    static ::llvm::StringRef attrNames[] = {::llvm::StringRef("axis")};
    return ::llvm::ArrayRef(attrNames);
  }

  ::mlir::StringAttr getAxisAttrName() {
    return getAttributeNameForIndex(0);
  }

  static ::mlir::StringAttr getAxisAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 0);
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.reduce_all");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::OpOperand &getInputMutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static ::llvm::LogicalResult setPropertiesFromAttr(Properties &prop, ::mlir::Attribute attr, ::llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::mlir::Attribute getPropertiesAsAttr(::mlir::MLIRContext *ctx, const Properties &prop);
  static llvm::hash_code computePropertiesHash(const Properties &prop);
  static std::optional<mlir::Attribute> getInherentAttr(::mlir::MLIRContext *ctx, const Properties &prop, llvm::StringRef name);
  static void setInherentAttr(Properties &prop, llvm::StringRef name, mlir::Attribute value);
  static void populateInherentAttrs(::mlir::MLIRContext *ctx, const Properties &prop, ::mlir::NamedAttrList &attrs);
  static ::llvm::LogicalResult verifyInherentAttrs(::mlir::OperationName opName, ::mlir::NamedAttrList &attrs, llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::llvm::LogicalResult readProperties(::mlir::DialectBytecodeReader &reader, ::mlir::OperationState &state);
  void writeProperties(::mlir::DialectBytecodeWriter &writer);
  ::mlir::IntegerAttr getAxisAttr() {
    return ::llvm::cast<::mlir::IntegerAttr>(getProperties().axis);
  }

  uint32_t getAxis();
  void setAxisAttr(::mlir::IntegerAttr attr) {
    getProperties().axis = attr;
  }

  void setAxis(uint32_t attrValue);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input, ::mlir::IntegerAttr axis);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Value input, ::mlir::IntegerAttr axis);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input, ::mlir::IntegerAttr axis);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input, uint32_t axis);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Value input, uint32_t axis);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input, uint32_t axis);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  ::llvm::LogicalResult verify();
  ::mlir::OpFoldResult fold(FoldAdaptor adaptor);
  static ::llvm::LogicalResult inferReturnTypes(::mlir::MLIRContext *context, ::std::optional<::mlir::Location> location, ::mlir::ValueRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::Type>&inferredReturnTypes);
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
private:
  ::mlir::StringAttr getAttributeNameForIndex(unsigned index) {
    return getAttributeNameForIndex((*this)->getName(), index);
  }

  static ::mlir::StringAttr getAttributeNameForIndex(::mlir::OperationName name, unsigned index) {
    assert(index < 1 && "invalid attribute index");
    assert(name.getStringRef() == getOperationName() && "invalid operation name");
    assert(name.isRegistered() && "Operation isn't registered, missing a "
          "dependent dialect loading?");
    return name.getAttributeNames()[index];
  }

public:
      static ::llvm::LogicalResult
      inferReturnTypeComponents(::mlir::MLIRContext *context,
                              std::optional<::mlir::Location> location,
                              Adaptor adaptor,
                              ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents> &inferredReturnShapes);


  /// Returns true when two result types are compatible for this op;
  /// Method used by InferTypeOpInterface.
  static bool isCompatibleReturnTypes(TypeRange l, TypeRange r);

  /// Return the AND result between two integer operands
  static inline APInt calcOneElement(APInt leftOperand, APInt rightOperand) {
    return leftOperand & rightOperand;
  }
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::ReduceAllOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::ReduceAnyOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class ReduceAnyOpGenericAdaptorBase {
public:
  struct Properties {
    using axisTy = ::mlir::IntegerAttr;
    axisTy axis;

    auto getAxis() {
      auto &propStorage = this->axis;
      return ::llvm::cast<::mlir::IntegerAttr>(propStorage);
    }
    void setAxis(const ::mlir::IntegerAttr &propValue) {
      this->axis = propValue;
    }
    bool operator==(const Properties &rhs) const {
      return 
        rhs.axis == this->axis &&
        true;
    }
    bool operator!=(const Properties &rhs) const {
      return !(*this == rhs);
    }
  };
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  Properties properties;
  ::mlir::RegionRange odsRegions;
public:
  ReduceAnyOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.reduce_any", odsAttrs.getContext());
  }

  ReduceAnyOpGenericAdaptorBase(ReduceAnyOp op);

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  const Properties &getProperties() {
    return properties;
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

  ::mlir::IntegerAttr getAxisAttr() {
    auto attr = ::llvm::cast<::mlir::IntegerAttr>(getProperties().axis);
    return attr;
  }

  uint32_t getAxis();
};
} // namespace detail
template <typename RangeT>
class ReduceAnyOpGenericAdaptor : public detail::ReduceAnyOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::ReduceAnyOpGenericAdaptorBase;
public:
  ReduceAnyOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  ReduceAnyOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : ReduceAnyOpGenericAdaptor(values, attrs, (properties ? *properties.as<Properties *>() : Properties{}), regions) {}

  ReduceAnyOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = nullptr) : ReduceAnyOpGenericAdaptor(values, attrs, Properties{}, {}) {}

  ReduceAnyOpGenericAdaptor(RangeT values, const ReduceAnyOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = ReduceAnyOp, typename = std::enable_if_t<std::is_same_v<LateInst, ReduceAnyOp>>>
  ReduceAnyOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput() {
    return (*getODSOperands(0).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class ReduceAnyOpAdaptor : public ReduceAnyOpGenericAdaptor<::mlir::ValueRange> {
public:
  using ReduceAnyOpGenericAdaptor::ReduceAnyOpGenericAdaptor;
  ReduceAnyOpAdaptor(ReduceAnyOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class ReduceAnyOp : public ::mlir::Op<ReduceAnyOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::OneOperand, ::mlir::OpTrait::OpInvariants, ::mlir::BytecodeOpInterface::Trait, ::mlir::InferTypeOpInterface::Trait, ::mlir::InferShapedTypeOpInterface::Trait, ::mlir::OpTrait::InferShapedTypeOpAdaptor, ::mlir::OpTrait::InferTensorType, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = ReduceAnyOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = ReduceAnyOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    static ::llvm::StringRef attrNames[] = {::llvm::StringRef("axis")};
    return ::llvm::ArrayRef(attrNames);
  }

  ::mlir::StringAttr getAxisAttrName() {
    return getAttributeNameForIndex(0);
  }

  static ::mlir::StringAttr getAxisAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 0);
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.reduce_any");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::OpOperand &getInputMutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static ::llvm::LogicalResult setPropertiesFromAttr(Properties &prop, ::mlir::Attribute attr, ::llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::mlir::Attribute getPropertiesAsAttr(::mlir::MLIRContext *ctx, const Properties &prop);
  static llvm::hash_code computePropertiesHash(const Properties &prop);
  static std::optional<mlir::Attribute> getInherentAttr(::mlir::MLIRContext *ctx, const Properties &prop, llvm::StringRef name);
  static void setInherentAttr(Properties &prop, llvm::StringRef name, mlir::Attribute value);
  static void populateInherentAttrs(::mlir::MLIRContext *ctx, const Properties &prop, ::mlir::NamedAttrList &attrs);
  static ::llvm::LogicalResult verifyInherentAttrs(::mlir::OperationName opName, ::mlir::NamedAttrList &attrs, llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::llvm::LogicalResult readProperties(::mlir::DialectBytecodeReader &reader, ::mlir::OperationState &state);
  void writeProperties(::mlir::DialectBytecodeWriter &writer);
  ::mlir::IntegerAttr getAxisAttr() {
    return ::llvm::cast<::mlir::IntegerAttr>(getProperties().axis);
  }

  uint32_t getAxis();
  void setAxisAttr(::mlir::IntegerAttr attr) {
    getProperties().axis = attr;
  }

  void setAxis(uint32_t attrValue);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input, ::mlir::IntegerAttr axis);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Value input, ::mlir::IntegerAttr axis);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input, ::mlir::IntegerAttr axis);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input, uint32_t axis);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Value input, uint32_t axis);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input, uint32_t axis);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  ::llvm::LogicalResult verify();
  ::mlir::OpFoldResult fold(FoldAdaptor adaptor);
  static ::llvm::LogicalResult inferReturnTypes(::mlir::MLIRContext *context, ::std::optional<::mlir::Location> location, ::mlir::ValueRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::Type>&inferredReturnTypes);
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
private:
  ::mlir::StringAttr getAttributeNameForIndex(unsigned index) {
    return getAttributeNameForIndex((*this)->getName(), index);
  }

  static ::mlir::StringAttr getAttributeNameForIndex(::mlir::OperationName name, unsigned index) {
    assert(index < 1 && "invalid attribute index");
    assert(name.getStringRef() == getOperationName() && "invalid operation name");
    assert(name.isRegistered() && "Operation isn't registered, missing a "
          "dependent dialect loading?");
    return name.getAttributeNames()[index];
  }

public:
      static ::llvm::LogicalResult
      inferReturnTypeComponents(::mlir::MLIRContext *context,
                              std::optional<::mlir::Location> location,
                              Adaptor adaptor,
                              ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents> &inferredReturnShapes);


  /// Returns true when two result types are compatible for this op;
  /// Method used by InferTypeOpInterface.
  static bool isCompatibleReturnTypes(TypeRange l, TypeRange r);

  /// Return the OR result between two integer operands
  static inline APInt calcOneElement(APInt leftOperand, APInt rightOperand) {
    return leftOperand | rightOperand;
  }
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::ReduceAnyOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::ReduceMaxOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class ReduceMaxOpGenericAdaptorBase {
public:
  struct Properties {
    using axisTy = ::mlir::IntegerAttr;
    axisTy axis;

    auto getAxis() {
      auto &propStorage = this->axis;
      return ::llvm::cast<::mlir::IntegerAttr>(propStorage);
    }
    void setAxis(const ::mlir::IntegerAttr &propValue) {
      this->axis = propValue;
    }
    using nan_modeTy = ::mlir::StringAttr;
    nan_modeTy nan_mode;

    auto getNanMode() {
      auto &propStorage = this->nan_mode;
      return ::llvm::dyn_cast_or_null<::mlir::StringAttr>(propStorage);
    }
    void setNanMode(const ::mlir::StringAttr &propValue) {
      this->nan_mode = propValue;
    }
    bool operator==(const Properties &rhs) const {
      return 
        rhs.axis == this->axis &&
        rhs.nan_mode == this->nan_mode &&
        true;
    }
    bool operator!=(const Properties &rhs) const {
      return !(*this == rhs);
    }
  };
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  Properties properties;
  ::mlir::RegionRange odsRegions;
public:
  ReduceMaxOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.reduce_max", odsAttrs.getContext());
  }

  ReduceMaxOpGenericAdaptorBase(ReduceMaxOp op);

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  const Properties &getProperties() {
    return properties;
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

  ::mlir::IntegerAttr getAxisAttr() {
    auto attr = ::llvm::cast<::mlir::IntegerAttr>(getProperties().axis);
    return attr;
  }

  uint32_t getAxis();
  ::mlir::StringAttr getNanModeAttr();
  ::llvm::StringRef getNanMode();
};
} // namespace detail
template <typename RangeT>
class ReduceMaxOpGenericAdaptor : public detail::ReduceMaxOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::ReduceMaxOpGenericAdaptorBase;
public:
  ReduceMaxOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  ReduceMaxOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : ReduceMaxOpGenericAdaptor(values, attrs, (properties ? *properties.as<Properties *>() : Properties{}), regions) {}

  ReduceMaxOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = nullptr) : ReduceMaxOpGenericAdaptor(values, attrs, Properties{}, {}) {}

  ReduceMaxOpGenericAdaptor(RangeT values, const ReduceMaxOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = ReduceMaxOp, typename = std::enable_if_t<std::is_same_v<LateInst, ReduceMaxOp>>>
  ReduceMaxOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput() {
    return (*getODSOperands(0).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class ReduceMaxOpAdaptor : public ReduceMaxOpGenericAdaptor<::mlir::ValueRange> {
public:
  using ReduceMaxOpGenericAdaptor::ReduceMaxOpGenericAdaptor;
  ReduceMaxOpAdaptor(ReduceMaxOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class ReduceMaxOp : public ::mlir::Op<ReduceMaxOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::OneOperand, ::mlir::OpTrait::OpInvariants, ::mlir::BytecodeOpInterface::Trait, ::mlir::InferTypeOpInterface::Trait, ::mlir::InferShapedTypeOpInterface::Trait, ::mlir::OpTrait::InferShapedTypeOpAdaptor, ::mlir::OpTrait::InferTensorType, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = ReduceMaxOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = ReduceMaxOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    static ::llvm::StringRef attrNames[] = {::llvm::StringRef("axis"), ::llvm::StringRef("nan_mode")};
    return ::llvm::ArrayRef(attrNames);
  }

  ::mlir::StringAttr getAxisAttrName() {
    return getAttributeNameForIndex(0);
  }

  static ::mlir::StringAttr getAxisAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 0);
  }

  ::mlir::StringAttr getNanModeAttrName() {
    return getAttributeNameForIndex(1);
  }

  static ::mlir::StringAttr getNanModeAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 1);
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.reduce_max");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::OpOperand &getInputMutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static ::llvm::LogicalResult setPropertiesFromAttr(Properties &prop, ::mlir::Attribute attr, ::llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::mlir::Attribute getPropertiesAsAttr(::mlir::MLIRContext *ctx, const Properties &prop);
  static llvm::hash_code computePropertiesHash(const Properties &prop);
  static std::optional<mlir::Attribute> getInherentAttr(::mlir::MLIRContext *ctx, const Properties &prop, llvm::StringRef name);
  static void setInherentAttr(Properties &prop, llvm::StringRef name, mlir::Attribute value);
  static void populateInherentAttrs(::mlir::MLIRContext *ctx, const Properties &prop, ::mlir::NamedAttrList &attrs);
  static ::llvm::LogicalResult verifyInherentAttrs(::mlir::OperationName opName, ::mlir::NamedAttrList &attrs, llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::llvm::LogicalResult readProperties(::mlir::DialectBytecodeReader &reader, ::mlir::OperationState &state);
  void writeProperties(::mlir::DialectBytecodeWriter &writer);
  ::mlir::IntegerAttr getAxisAttr() {
    return ::llvm::cast<::mlir::IntegerAttr>(getProperties().axis);
  }

  uint32_t getAxis();
  ::mlir::StringAttr getNanModeAttr() {
    return ::llvm::dyn_cast_or_null<::mlir::StringAttr>(getProperties().nan_mode);
  }

  ::llvm::StringRef getNanMode();
  void setAxisAttr(::mlir::IntegerAttr attr) {
    getProperties().axis = attr;
  }

  void setAxis(uint32_t attrValue);
  void setNanModeAttr(::mlir::StringAttr attr) {
    getProperties().nan_mode = attr;
  }

  void setNanMode(::llvm::StringRef attrValue);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input, ::mlir::IntegerAttr axis, ::mlir::StringAttr nan_mode = nullptr);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Value input, ::mlir::IntegerAttr axis, ::mlir::StringAttr nan_mode = nullptr);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input, ::mlir::IntegerAttr axis, ::mlir::StringAttr nan_mode = nullptr);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input, uint32_t axis, ::llvm::StringRef nan_mode = "PROPAGATE");
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Value input, uint32_t axis, ::llvm::StringRef nan_mode = "PROPAGATE");
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input, uint32_t axis, ::llvm::StringRef nan_mode = "PROPAGATE");
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static void populateDefaultProperties(::mlir::OperationName opName, Properties &properties);
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  ::llvm::LogicalResult verify();
  ::mlir::OpFoldResult fold(FoldAdaptor adaptor);
  static ::llvm::LogicalResult inferReturnTypes(::mlir::MLIRContext *context, ::std::optional<::mlir::Location> location, ::mlir::ValueRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::Type>&inferredReturnTypes);
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
private:
  ::mlir::StringAttr getAttributeNameForIndex(unsigned index) {
    return getAttributeNameForIndex((*this)->getName(), index);
  }

  static ::mlir::StringAttr getAttributeNameForIndex(::mlir::OperationName name, unsigned index) {
    assert(index < 2 && "invalid attribute index");
    assert(name.getStringRef() == getOperationName() && "invalid operation name");
    assert(name.isRegistered() && "Operation isn't registered, missing a "
          "dependent dialect loading?");
    return name.getAttributeNames()[index];
  }

public:
      static ::llvm::LogicalResult
      inferReturnTypeComponents(::mlir::MLIRContext *context,
                              std::optional<::mlir::Location> location,
                              Adaptor adaptor,
                              ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents> &inferredReturnShapes);


  /// Returns true when two result types are compatible for this op;
  /// Method used by InferTypeOpInterface.
  static bool isCompatibleReturnTypes(TypeRange l, TypeRange r);

  /// Return the max of the two integer operands
  static inline APInt calcOneElement(APInt leftOperand, APInt rightOperand) {
    const llvm::APInt subtractRes = leftOperand - rightOperand;
    return (!subtractRes.isNegative()) ? leftOperand : rightOperand;
  }
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::ReduceMaxOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::ReduceMinOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class ReduceMinOpGenericAdaptorBase {
public:
  struct Properties {
    using axisTy = ::mlir::IntegerAttr;
    axisTy axis;

    auto getAxis() {
      auto &propStorage = this->axis;
      return ::llvm::cast<::mlir::IntegerAttr>(propStorage);
    }
    void setAxis(const ::mlir::IntegerAttr &propValue) {
      this->axis = propValue;
    }
    using nan_modeTy = ::mlir::StringAttr;
    nan_modeTy nan_mode;

    auto getNanMode() {
      auto &propStorage = this->nan_mode;
      return ::llvm::dyn_cast_or_null<::mlir::StringAttr>(propStorage);
    }
    void setNanMode(const ::mlir::StringAttr &propValue) {
      this->nan_mode = propValue;
    }
    bool operator==(const Properties &rhs) const {
      return 
        rhs.axis == this->axis &&
        rhs.nan_mode == this->nan_mode &&
        true;
    }
    bool operator!=(const Properties &rhs) const {
      return !(*this == rhs);
    }
  };
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  Properties properties;
  ::mlir::RegionRange odsRegions;
public:
  ReduceMinOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.reduce_min", odsAttrs.getContext());
  }

  ReduceMinOpGenericAdaptorBase(ReduceMinOp op);

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  const Properties &getProperties() {
    return properties;
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

  ::mlir::IntegerAttr getAxisAttr() {
    auto attr = ::llvm::cast<::mlir::IntegerAttr>(getProperties().axis);
    return attr;
  }

  uint32_t getAxis();
  ::mlir::StringAttr getNanModeAttr();
  ::llvm::StringRef getNanMode();
};
} // namespace detail
template <typename RangeT>
class ReduceMinOpGenericAdaptor : public detail::ReduceMinOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::ReduceMinOpGenericAdaptorBase;
public:
  ReduceMinOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  ReduceMinOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : ReduceMinOpGenericAdaptor(values, attrs, (properties ? *properties.as<Properties *>() : Properties{}), regions) {}

  ReduceMinOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = nullptr) : ReduceMinOpGenericAdaptor(values, attrs, Properties{}, {}) {}

  ReduceMinOpGenericAdaptor(RangeT values, const ReduceMinOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = ReduceMinOp, typename = std::enable_if_t<std::is_same_v<LateInst, ReduceMinOp>>>
  ReduceMinOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput() {
    return (*getODSOperands(0).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class ReduceMinOpAdaptor : public ReduceMinOpGenericAdaptor<::mlir::ValueRange> {
public:
  using ReduceMinOpGenericAdaptor::ReduceMinOpGenericAdaptor;
  ReduceMinOpAdaptor(ReduceMinOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class ReduceMinOp : public ::mlir::Op<ReduceMinOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::OneOperand, ::mlir::OpTrait::OpInvariants, ::mlir::BytecodeOpInterface::Trait, ::mlir::InferTypeOpInterface::Trait, ::mlir::InferShapedTypeOpInterface::Trait, ::mlir::OpTrait::InferShapedTypeOpAdaptor, ::mlir::OpTrait::InferTensorType, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = ReduceMinOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = ReduceMinOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    static ::llvm::StringRef attrNames[] = {::llvm::StringRef("axis"), ::llvm::StringRef("nan_mode")};
    return ::llvm::ArrayRef(attrNames);
  }

  ::mlir::StringAttr getAxisAttrName() {
    return getAttributeNameForIndex(0);
  }

  static ::mlir::StringAttr getAxisAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 0);
  }

  ::mlir::StringAttr getNanModeAttrName() {
    return getAttributeNameForIndex(1);
  }

  static ::mlir::StringAttr getNanModeAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 1);
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.reduce_min");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::OpOperand &getInputMutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static ::llvm::LogicalResult setPropertiesFromAttr(Properties &prop, ::mlir::Attribute attr, ::llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::mlir::Attribute getPropertiesAsAttr(::mlir::MLIRContext *ctx, const Properties &prop);
  static llvm::hash_code computePropertiesHash(const Properties &prop);
  static std::optional<mlir::Attribute> getInherentAttr(::mlir::MLIRContext *ctx, const Properties &prop, llvm::StringRef name);
  static void setInherentAttr(Properties &prop, llvm::StringRef name, mlir::Attribute value);
  static void populateInherentAttrs(::mlir::MLIRContext *ctx, const Properties &prop, ::mlir::NamedAttrList &attrs);
  static ::llvm::LogicalResult verifyInherentAttrs(::mlir::OperationName opName, ::mlir::NamedAttrList &attrs, llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::llvm::LogicalResult readProperties(::mlir::DialectBytecodeReader &reader, ::mlir::OperationState &state);
  void writeProperties(::mlir::DialectBytecodeWriter &writer);
  ::mlir::IntegerAttr getAxisAttr() {
    return ::llvm::cast<::mlir::IntegerAttr>(getProperties().axis);
  }

  uint32_t getAxis();
  ::mlir::StringAttr getNanModeAttr() {
    return ::llvm::dyn_cast_or_null<::mlir::StringAttr>(getProperties().nan_mode);
  }

  ::llvm::StringRef getNanMode();
  void setAxisAttr(::mlir::IntegerAttr attr) {
    getProperties().axis = attr;
  }

  void setAxis(uint32_t attrValue);
  void setNanModeAttr(::mlir::StringAttr attr) {
    getProperties().nan_mode = attr;
  }

  void setNanMode(::llvm::StringRef attrValue);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input, ::mlir::IntegerAttr axis, ::mlir::StringAttr nan_mode = nullptr);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Value input, ::mlir::IntegerAttr axis, ::mlir::StringAttr nan_mode = nullptr);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input, ::mlir::IntegerAttr axis, ::mlir::StringAttr nan_mode = nullptr);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input, uint32_t axis, ::llvm::StringRef nan_mode = "PROPAGATE");
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Value input, uint32_t axis, ::llvm::StringRef nan_mode = "PROPAGATE");
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input, uint32_t axis, ::llvm::StringRef nan_mode = "PROPAGATE");
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static void populateDefaultProperties(::mlir::OperationName opName, Properties &properties);
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  ::llvm::LogicalResult verify();
  ::mlir::OpFoldResult fold(FoldAdaptor adaptor);
  static ::llvm::LogicalResult inferReturnTypes(::mlir::MLIRContext *context, ::std::optional<::mlir::Location> location, ::mlir::ValueRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::Type>&inferredReturnTypes);
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
private:
  ::mlir::StringAttr getAttributeNameForIndex(unsigned index) {
    return getAttributeNameForIndex((*this)->getName(), index);
  }

  static ::mlir::StringAttr getAttributeNameForIndex(::mlir::OperationName name, unsigned index) {
    assert(index < 2 && "invalid attribute index");
    assert(name.getStringRef() == getOperationName() && "invalid operation name");
    assert(name.isRegistered() && "Operation isn't registered, missing a "
          "dependent dialect loading?");
    return name.getAttributeNames()[index];
  }

public:
      static ::llvm::LogicalResult
      inferReturnTypeComponents(::mlir::MLIRContext *context,
                              std::optional<::mlir::Location> location,
                              Adaptor adaptor,
                              ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents> &inferredReturnShapes);


  /// Returns true when two result types are compatible for this op;
  /// Method used by InferTypeOpInterface.
  static bool isCompatibleReturnTypes(TypeRange l, TypeRange r);

  /// Return the min of the two integer operands
  static inline APInt calcOneElement(APInt leftOperand, APInt rightOperand) {
    const llvm::APInt subtractRes = leftOperand - rightOperand;
    return (!subtractRes.isNegative()) ? rightOperand : leftOperand;
  }
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::ReduceMinOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::ReduceProdOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class ReduceProdOpGenericAdaptorBase {
public:
  struct Properties {
    using axisTy = ::mlir::IntegerAttr;
    axisTy axis;

    auto getAxis() {
      auto &propStorage = this->axis;
      return ::llvm::cast<::mlir::IntegerAttr>(propStorage);
    }
    void setAxis(const ::mlir::IntegerAttr &propValue) {
      this->axis = propValue;
    }
    bool operator==(const Properties &rhs) const {
      return 
        rhs.axis == this->axis &&
        true;
    }
    bool operator!=(const Properties &rhs) const {
      return !(*this == rhs);
    }
  };
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  Properties properties;
  ::mlir::RegionRange odsRegions;
public:
  ReduceProdOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.reduce_prod", odsAttrs.getContext());
  }

  ReduceProdOpGenericAdaptorBase(ReduceProdOp op);

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  const Properties &getProperties() {
    return properties;
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

  ::mlir::IntegerAttr getAxisAttr() {
    auto attr = ::llvm::cast<::mlir::IntegerAttr>(getProperties().axis);
    return attr;
  }

  uint32_t getAxis();
};
} // namespace detail
template <typename RangeT>
class ReduceProdOpGenericAdaptor : public detail::ReduceProdOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::ReduceProdOpGenericAdaptorBase;
public:
  ReduceProdOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  ReduceProdOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : ReduceProdOpGenericAdaptor(values, attrs, (properties ? *properties.as<Properties *>() : Properties{}), regions) {}

  ReduceProdOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = nullptr) : ReduceProdOpGenericAdaptor(values, attrs, Properties{}, {}) {}

  ReduceProdOpGenericAdaptor(RangeT values, const ReduceProdOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = ReduceProdOp, typename = std::enable_if_t<std::is_same_v<LateInst, ReduceProdOp>>>
  ReduceProdOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput() {
    return (*getODSOperands(0).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class ReduceProdOpAdaptor : public ReduceProdOpGenericAdaptor<::mlir::ValueRange> {
public:
  using ReduceProdOpGenericAdaptor::ReduceProdOpGenericAdaptor;
  ReduceProdOpAdaptor(ReduceProdOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class ReduceProdOp : public ::mlir::Op<ReduceProdOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::OneOperand, ::mlir::OpTrait::OpInvariants, ::mlir::BytecodeOpInterface::Trait, ::mlir::InferTypeOpInterface::Trait, ::mlir::InferShapedTypeOpInterface::Trait, ::mlir::OpTrait::InferShapedTypeOpAdaptor, ::mlir::OpTrait::InferTensorType, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = ReduceProdOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = ReduceProdOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    static ::llvm::StringRef attrNames[] = {::llvm::StringRef("axis")};
    return ::llvm::ArrayRef(attrNames);
  }

  ::mlir::StringAttr getAxisAttrName() {
    return getAttributeNameForIndex(0);
  }

  static ::mlir::StringAttr getAxisAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 0);
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.reduce_prod");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::OpOperand &getInputMutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static ::llvm::LogicalResult setPropertiesFromAttr(Properties &prop, ::mlir::Attribute attr, ::llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::mlir::Attribute getPropertiesAsAttr(::mlir::MLIRContext *ctx, const Properties &prop);
  static llvm::hash_code computePropertiesHash(const Properties &prop);
  static std::optional<mlir::Attribute> getInherentAttr(::mlir::MLIRContext *ctx, const Properties &prop, llvm::StringRef name);
  static void setInherentAttr(Properties &prop, llvm::StringRef name, mlir::Attribute value);
  static void populateInherentAttrs(::mlir::MLIRContext *ctx, const Properties &prop, ::mlir::NamedAttrList &attrs);
  static ::llvm::LogicalResult verifyInherentAttrs(::mlir::OperationName opName, ::mlir::NamedAttrList &attrs, llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::llvm::LogicalResult readProperties(::mlir::DialectBytecodeReader &reader, ::mlir::OperationState &state);
  void writeProperties(::mlir::DialectBytecodeWriter &writer);
  ::mlir::IntegerAttr getAxisAttr() {
    return ::llvm::cast<::mlir::IntegerAttr>(getProperties().axis);
  }

  uint32_t getAxis();
  void setAxisAttr(::mlir::IntegerAttr attr) {
    getProperties().axis = attr;
  }

  void setAxis(uint32_t attrValue);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input, ::mlir::IntegerAttr axis);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Value input, ::mlir::IntegerAttr axis);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input, ::mlir::IntegerAttr axis);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input, uint32_t axis);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Value input, uint32_t axis);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input, uint32_t axis);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  ::llvm::LogicalResult verify();
  ::mlir::OpFoldResult fold(FoldAdaptor adaptor);
  static ::llvm::LogicalResult inferReturnTypes(::mlir::MLIRContext *context, ::std::optional<::mlir::Location> location, ::mlir::ValueRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::Type>&inferredReturnTypes);
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
private:
  ::mlir::StringAttr getAttributeNameForIndex(unsigned index) {
    return getAttributeNameForIndex((*this)->getName(), index);
  }

  static ::mlir::StringAttr getAttributeNameForIndex(::mlir::OperationName name, unsigned index) {
    assert(index < 1 && "invalid attribute index");
    assert(name.getStringRef() == getOperationName() && "invalid operation name");
    assert(name.isRegistered() && "Operation isn't registered, missing a "
          "dependent dialect loading?");
    return name.getAttributeNames()[index];
  }

public:
      static ::llvm::LogicalResult
      inferReturnTypeComponents(::mlir::MLIRContext *context,
                              std::optional<::mlir::Location> location,
                              Adaptor adaptor,
                              ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents> &inferredReturnShapes);


  /// Returns true when two result types are compatible for this op;
  /// Method used by InferTypeOpInterface.
  static bool isCompatibleReturnTypes(TypeRange l, TypeRange r);

  /// Return the prod of the two integer operands
  static inline APInt calcOneElement(APInt leftOperand, APInt rightOperand) {
    return leftOperand * rightOperand;
  }
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::ReduceProdOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::ReduceSumOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class ReduceSumOpGenericAdaptorBase {
public:
  struct Properties {
    using axisTy = ::mlir::IntegerAttr;
    axisTy axis;

    auto getAxis() {
      auto &propStorage = this->axis;
      return ::llvm::cast<::mlir::IntegerAttr>(propStorage);
    }
    void setAxis(const ::mlir::IntegerAttr &propValue) {
      this->axis = propValue;
    }
    bool operator==(const Properties &rhs) const {
      return 
        rhs.axis == this->axis &&
        true;
    }
    bool operator!=(const Properties &rhs) const {
      return !(*this == rhs);
    }
  };
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  Properties properties;
  ::mlir::RegionRange odsRegions;
public:
  ReduceSumOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.reduce_sum", odsAttrs.getContext());
  }

  ReduceSumOpGenericAdaptorBase(ReduceSumOp op);

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  const Properties &getProperties() {
    return properties;
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

  ::mlir::IntegerAttr getAxisAttr() {
    auto attr = ::llvm::cast<::mlir::IntegerAttr>(getProperties().axis);
    return attr;
  }

  uint32_t getAxis();
};
} // namespace detail
template <typename RangeT>
class ReduceSumOpGenericAdaptor : public detail::ReduceSumOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::ReduceSumOpGenericAdaptorBase;
public:
  ReduceSumOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  ReduceSumOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : ReduceSumOpGenericAdaptor(values, attrs, (properties ? *properties.as<Properties *>() : Properties{}), regions) {}

  ReduceSumOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = nullptr) : ReduceSumOpGenericAdaptor(values, attrs, Properties{}, {}) {}

  ReduceSumOpGenericAdaptor(RangeT values, const ReduceSumOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = ReduceSumOp, typename = std::enable_if_t<std::is_same_v<LateInst, ReduceSumOp>>>
  ReduceSumOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput() {
    return (*getODSOperands(0).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class ReduceSumOpAdaptor : public ReduceSumOpGenericAdaptor<::mlir::ValueRange> {
public:
  using ReduceSumOpGenericAdaptor::ReduceSumOpGenericAdaptor;
  ReduceSumOpAdaptor(ReduceSumOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class ReduceSumOp : public ::mlir::Op<ReduceSumOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::OneOperand, ::mlir::OpTrait::OpInvariants, ::mlir::BytecodeOpInterface::Trait, ::mlir::InferTypeOpInterface::Trait, ::mlir::InferShapedTypeOpInterface::Trait, ::mlir::OpTrait::InferShapedTypeOpAdaptor, ::mlir::OpTrait::InferTensorType, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = ReduceSumOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = ReduceSumOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    static ::llvm::StringRef attrNames[] = {::llvm::StringRef("axis")};
    return ::llvm::ArrayRef(attrNames);
  }

  ::mlir::StringAttr getAxisAttrName() {
    return getAttributeNameForIndex(0);
  }

  static ::mlir::StringAttr getAxisAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 0);
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.reduce_sum");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::OpOperand &getInputMutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static ::llvm::LogicalResult setPropertiesFromAttr(Properties &prop, ::mlir::Attribute attr, ::llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::mlir::Attribute getPropertiesAsAttr(::mlir::MLIRContext *ctx, const Properties &prop);
  static llvm::hash_code computePropertiesHash(const Properties &prop);
  static std::optional<mlir::Attribute> getInherentAttr(::mlir::MLIRContext *ctx, const Properties &prop, llvm::StringRef name);
  static void setInherentAttr(Properties &prop, llvm::StringRef name, mlir::Attribute value);
  static void populateInherentAttrs(::mlir::MLIRContext *ctx, const Properties &prop, ::mlir::NamedAttrList &attrs);
  static ::llvm::LogicalResult verifyInherentAttrs(::mlir::OperationName opName, ::mlir::NamedAttrList &attrs, llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::llvm::LogicalResult readProperties(::mlir::DialectBytecodeReader &reader, ::mlir::OperationState &state);
  void writeProperties(::mlir::DialectBytecodeWriter &writer);
  ::mlir::IntegerAttr getAxisAttr() {
    return ::llvm::cast<::mlir::IntegerAttr>(getProperties().axis);
  }

  uint32_t getAxis();
  void setAxisAttr(::mlir::IntegerAttr attr) {
    getProperties().axis = attr;
  }

  void setAxis(uint32_t attrValue);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input, ::mlir::IntegerAttr axis);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Value input, ::mlir::IntegerAttr axis);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input, ::mlir::IntegerAttr axis);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input, uint32_t axis);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Value input, uint32_t axis);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input, uint32_t axis);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  ::llvm::LogicalResult verify();
  ::mlir::OpFoldResult fold(FoldAdaptor adaptor);
  static ::llvm::LogicalResult inferReturnTypes(::mlir::MLIRContext *context, ::std::optional<::mlir::Location> location, ::mlir::ValueRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::Type>&inferredReturnTypes);
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
private:
  ::mlir::StringAttr getAttributeNameForIndex(unsigned index) {
    return getAttributeNameForIndex((*this)->getName(), index);
  }

  static ::mlir::StringAttr getAttributeNameForIndex(::mlir::OperationName name, unsigned index) {
    assert(index < 1 && "invalid attribute index");
    assert(name.getStringRef() == getOperationName() && "invalid operation name");
    assert(name.isRegistered() && "Operation isn't registered, missing a "
          "dependent dialect loading?");
    return name.getAttributeNames()[index];
  }

public:
      static ::llvm::LogicalResult
      inferReturnTypeComponents(::mlir::MLIRContext *context,
                              std::optional<::mlir::Location> location,
                              Adaptor adaptor,
                              ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents> &inferredReturnShapes);


  /// Returns true when two result types are compatible for this op;
  /// Method used by InferTypeOpInterface.
  static bool isCompatibleReturnTypes(TypeRange l, TypeRange r);

  /// Return the sum of the two integer operands
  static inline APInt calcOneElement(APInt leftOperand, APInt rightOperand) {
    return leftOperand + rightOperand;
  }
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::ReduceSumOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::RescaleOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class RescaleOpGenericAdaptorBase {
public:
  struct Properties {
    using double_roundTy = ::mlir::BoolAttr;
    double_roundTy double_round;

    auto getDoubleRound() {
      auto &propStorage = this->double_round;
      return ::llvm::cast<::mlir::BoolAttr>(propStorage);
    }
    void setDoubleRound(const ::mlir::BoolAttr &propValue) {
      this->double_round = propValue;
    }
    using input_unsignedTy = ::mlir::BoolAttr;
    input_unsignedTy input_unsigned;

    auto getInputUnsigned() {
      auto &propStorage = this->input_unsigned;
      return ::llvm::dyn_cast_or_null<::mlir::BoolAttr>(propStorage);
    }
    void setInputUnsigned(const ::mlir::BoolAttr &propValue) {
      this->input_unsigned = propValue;
    }
    using input_zpTy = ::mlir::IntegerAttr;
    input_zpTy input_zp;

    auto getInputZp() {
      auto &propStorage = this->input_zp;
      return ::llvm::cast<::mlir::IntegerAttr>(propStorage);
    }
    void setInputZp(const ::mlir::IntegerAttr &propValue) {
      this->input_zp = propValue;
    }
    using multiplierTy = ::mlir::DenseI32ArrayAttr;
    multiplierTy multiplier;

    auto getMultiplier() {
      auto &propStorage = this->multiplier;
      return ::llvm::cast<::mlir::DenseI32ArrayAttr>(propStorage);
    }
    void setMultiplier(const ::mlir::DenseI32ArrayAttr &propValue) {
      this->multiplier = propValue;
    }
    using output_unsignedTy = ::mlir::BoolAttr;
    output_unsignedTy output_unsigned;

    auto getOutputUnsigned() {
      auto &propStorage = this->output_unsigned;
      return ::llvm::dyn_cast_or_null<::mlir::BoolAttr>(propStorage);
    }
    void setOutputUnsigned(const ::mlir::BoolAttr &propValue) {
      this->output_unsigned = propValue;
    }
    using output_zpTy = ::mlir::IntegerAttr;
    output_zpTy output_zp;

    auto getOutputZp() {
      auto &propStorage = this->output_zp;
      return ::llvm::cast<::mlir::IntegerAttr>(propStorage);
    }
    void setOutputZp(const ::mlir::IntegerAttr &propValue) {
      this->output_zp = propValue;
    }
    using per_channelTy = ::mlir::BoolAttr;
    per_channelTy per_channel;

    auto getPerChannel() {
      auto &propStorage = this->per_channel;
      return ::llvm::cast<::mlir::BoolAttr>(propStorage);
    }
    void setPerChannel(const ::mlir::BoolAttr &propValue) {
      this->per_channel = propValue;
    }
    using scale32Ty = ::mlir::BoolAttr;
    scale32Ty scale32;

    auto getScale32() {
      auto &propStorage = this->scale32;
      return ::llvm::cast<::mlir::BoolAttr>(propStorage);
    }
    void setScale32(const ::mlir::BoolAttr &propValue) {
      this->scale32 = propValue;
    }
    using shiftTy = ::mlir::DenseI8ArrayAttr;
    shiftTy shift;

    auto getShift() {
      auto &propStorage = this->shift;
      return ::llvm::cast<::mlir::DenseI8ArrayAttr>(propStorage);
    }
    void setShift(const ::mlir::DenseI8ArrayAttr &propValue) {
      this->shift = propValue;
    }
    bool operator==(const Properties &rhs) const {
      return 
        rhs.double_round == this->double_round &&
        rhs.input_unsigned == this->input_unsigned &&
        rhs.input_zp == this->input_zp &&
        rhs.multiplier == this->multiplier &&
        rhs.output_unsigned == this->output_unsigned &&
        rhs.output_zp == this->output_zp &&
        rhs.per_channel == this->per_channel &&
        rhs.scale32 == this->scale32 &&
        rhs.shift == this->shift &&
        true;
    }
    bool operator!=(const Properties &rhs) const {
      return !(*this == rhs);
    }
  };
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  Properties properties;
  ::mlir::RegionRange odsRegions;
public:
  RescaleOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.rescale", odsAttrs.getContext());
  }

  RescaleOpGenericAdaptorBase(RescaleOp op);

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  const Properties &getProperties() {
    return properties;
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

  ::mlir::IntegerAttr getInputZpAttr() {
    auto attr = ::llvm::cast<::mlir::IntegerAttr>(getProperties().input_zp);
    return attr;
  }

  uint32_t getInputZp();
  ::mlir::IntegerAttr getOutputZpAttr() {
    auto attr = ::llvm::cast<::mlir::IntegerAttr>(getProperties().output_zp);
    return attr;
  }

  uint32_t getOutputZp();
  ::mlir::DenseI32ArrayAttr getMultiplierAttr() {
    auto attr = ::llvm::cast<::mlir::DenseI32ArrayAttr>(getProperties().multiplier);
    return attr;
  }

  ::llvm::ArrayRef<int32_t> getMultiplier();
  ::mlir::DenseI8ArrayAttr getShiftAttr() {
    auto attr = ::llvm::cast<::mlir::DenseI8ArrayAttr>(getProperties().shift);
    return attr;
  }

  ::llvm::ArrayRef<int8_t> getShift();
  ::mlir::BoolAttr getScale32Attr() {
    auto attr = ::llvm::cast<::mlir::BoolAttr>(getProperties().scale32);
    return attr;
  }

  bool getScale32();
  ::mlir::BoolAttr getDoubleRoundAttr() {
    auto attr = ::llvm::cast<::mlir::BoolAttr>(getProperties().double_round);
    return attr;
  }

  bool getDoubleRound();
  ::mlir::BoolAttr getPerChannelAttr() {
    auto attr = ::llvm::cast<::mlir::BoolAttr>(getProperties().per_channel);
    return attr;
  }

  bool getPerChannel();
  ::mlir::BoolAttr getInputUnsignedAttr();
  bool getInputUnsigned();
  ::mlir::BoolAttr getOutputUnsignedAttr();
  bool getOutputUnsigned();
};
} // namespace detail
template <typename RangeT>
class RescaleOpGenericAdaptor : public detail::RescaleOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::RescaleOpGenericAdaptorBase;
public:
  RescaleOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  RescaleOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : RescaleOpGenericAdaptor(values, attrs, (properties ? *properties.as<Properties *>() : Properties{}), regions) {}

  RescaleOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = nullptr) : RescaleOpGenericAdaptor(values, attrs, Properties{}, {}) {}

  RescaleOpGenericAdaptor(RangeT values, const RescaleOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = RescaleOp, typename = std::enable_if_t<std::is_same_v<LateInst, RescaleOp>>>
  RescaleOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput() {
    return (*getODSOperands(0).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class RescaleOpAdaptor : public RescaleOpGenericAdaptor<::mlir::ValueRange> {
public:
  using RescaleOpGenericAdaptor::RescaleOpGenericAdaptor;
  RescaleOpAdaptor(RescaleOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class RescaleOp : public ::mlir::Op<RescaleOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::OneOperand, ::mlir::OpTrait::OpInvariants, ::mlir::BytecodeOpInterface::Trait, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, ::mlir::InferShapedTypeOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = RescaleOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = RescaleOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    static ::llvm::StringRef attrNames[] = {::llvm::StringRef("double_round"), ::llvm::StringRef("input_unsigned"), ::llvm::StringRef("input_zp"), ::llvm::StringRef("multiplier"), ::llvm::StringRef("output_unsigned"), ::llvm::StringRef("output_zp"), ::llvm::StringRef("per_channel"), ::llvm::StringRef("scale32"), ::llvm::StringRef("shift")};
    return ::llvm::ArrayRef(attrNames);
  }

  ::mlir::StringAttr getDoubleRoundAttrName() {
    return getAttributeNameForIndex(0);
  }

  static ::mlir::StringAttr getDoubleRoundAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 0);
  }

  ::mlir::StringAttr getInputUnsignedAttrName() {
    return getAttributeNameForIndex(1);
  }

  static ::mlir::StringAttr getInputUnsignedAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 1);
  }

  ::mlir::StringAttr getInputZpAttrName() {
    return getAttributeNameForIndex(2);
  }

  static ::mlir::StringAttr getInputZpAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 2);
  }

  ::mlir::StringAttr getMultiplierAttrName() {
    return getAttributeNameForIndex(3);
  }

  static ::mlir::StringAttr getMultiplierAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 3);
  }

  ::mlir::StringAttr getOutputUnsignedAttrName() {
    return getAttributeNameForIndex(4);
  }

  static ::mlir::StringAttr getOutputUnsignedAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 4);
  }

  ::mlir::StringAttr getOutputZpAttrName() {
    return getAttributeNameForIndex(5);
  }

  static ::mlir::StringAttr getOutputZpAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 5);
  }

  ::mlir::StringAttr getPerChannelAttrName() {
    return getAttributeNameForIndex(6);
  }

  static ::mlir::StringAttr getPerChannelAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 6);
  }

  ::mlir::StringAttr getScale32AttrName() {
    return getAttributeNameForIndex(7);
  }

  static ::mlir::StringAttr getScale32AttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 7);
  }

  ::mlir::StringAttr getShiftAttrName() {
    return getAttributeNameForIndex(8);
  }

  static ::mlir::StringAttr getShiftAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 8);
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.rescale");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::OpOperand &getInputMutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static ::llvm::LogicalResult setPropertiesFromAttr(Properties &prop, ::mlir::Attribute attr, ::llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::mlir::Attribute getPropertiesAsAttr(::mlir::MLIRContext *ctx, const Properties &prop);
  static llvm::hash_code computePropertiesHash(const Properties &prop);
  static std::optional<mlir::Attribute> getInherentAttr(::mlir::MLIRContext *ctx, const Properties &prop, llvm::StringRef name);
  static void setInherentAttr(Properties &prop, llvm::StringRef name, mlir::Attribute value);
  static void populateInherentAttrs(::mlir::MLIRContext *ctx, const Properties &prop, ::mlir::NamedAttrList &attrs);
  static ::llvm::LogicalResult verifyInherentAttrs(::mlir::OperationName opName, ::mlir::NamedAttrList &attrs, llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::llvm::LogicalResult readProperties(::mlir::DialectBytecodeReader &reader, ::mlir::OperationState &state);
  void writeProperties(::mlir::DialectBytecodeWriter &writer);
  ::mlir::IntegerAttr getInputZpAttr() {
    return ::llvm::cast<::mlir::IntegerAttr>(getProperties().input_zp);
  }

  uint32_t getInputZp();
  ::mlir::IntegerAttr getOutputZpAttr() {
    return ::llvm::cast<::mlir::IntegerAttr>(getProperties().output_zp);
  }

  uint32_t getOutputZp();
  ::mlir::DenseI32ArrayAttr getMultiplierAttr() {
    return ::llvm::cast<::mlir::DenseI32ArrayAttr>(getProperties().multiplier);
  }

  ::llvm::ArrayRef<int32_t> getMultiplier();
  ::mlir::DenseI8ArrayAttr getShiftAttr() {
    return ::llvm::cast<::mlir::DenseI8ArrayAttr>(getProperties().shift);
  }

  ::llvm::ArrayRef<int8_t> getShift();
  ::mlir::BoolAttr getScale32Attr() {
    return ::llvm::cast<::mlir::BoolAttr>(getProperties().scale32);
  }

  bool getScale32();
  ::mlir::BoolAttr getDoubleRoundAttr() {
    return ::llvm::cast<::mlir::BoolAttr>(getProperties().double_round);
  }

  bool getDoubleRound();
  ::mlir::BoolAttr getPerChannelAttr() {
    return ::llvm::cast<::mlir::BoolAttr>(getProperties().per_channel);
  }

  bool getPerChannel();
  ::mlir::BoolAttr getInputUnsignedAttr() {
    return ::llvm::dyn_cast_or_null<::mlir::BoolAttr>(getProperties().input_unsigned);
  }

  bool getInputUnsigned();
  ::mlir::BoolAttr getOutputUnsignedAttr() {
    return ::llvm::dyn_cast_or_null<::mlir::BoolAttr>(getProperties().output_unsigned);
  }

  bool getOutputUnsigned();
  void setInputZpAttr(::mlir::IntegerAttr attr) {
    getProperties().input_zp = attr;
  }

  void setInputZp(uint32_t attrValue);
  void setOutputZpAttr(::mlir::IntegerAttr attr) {
    getProperties().output_zp = attr;
  }

  void setOutputZp(uint32_t attrValue);
  void setMultiplierAttr(::mlir::DenseI32ArrayAttr attr) {
    getProperties().multiplier = attr;
  }

  void setMultiplier(::llvm::ArrayRef<int32_t> attrValue);
  void setShiftAttr(::mlir::DenseI8ArrayAttr attr) {
    getProperties().shift = attr;
  }

  void setShift(::llvm::ArrayRef<int8_t> attrValue);
  void setScale32Attr(::mlir::BoolAttr attr) {
    getProperties().scale32 = attr;
  }

  void setScale32(bool attrValue);
  void setDoubleRoundAttr(::mlir::BoolAttr attr) {
    getProperties().double_round = attr;
  }

  void setDoubleRound(bool attrValue);
  void setPerChannelAttr(::mlir::BoolAttr attr) {
    getProperties().per_channel = attr;
  }

  void setPerChannel(bool attrValue);
  void setInputUnsignedAttr(::mlir::BoolAttr attr) {
    getProperties().input_unsigned = attr;
  }

  void setInputUnsigned(::std::optional<bool> attrValue);
  void setOutputUnsignedAttr(::mlir::BoolAttr attr) {
    getProperties().output_unsigned = attr;
  }

  void setOutputUnsigned(::std::optional<bool> attrValue);
  ::mlir::Attribute removeInputUnsignedAttr() {
      auto &attr = getProperties().input_unsigned;
      attr = {};
      return attr;
  }

  ::mlir::Attribute removeOutputUnsignedAttr() {
      auto &attr = getProperties().output_unsigned;
      attr = {};
      return attr;
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input, ::mlir::IntegerAttr input_zp, ::mlir::IntegerAttr output_zp, ::mlir::DenseI32ArrayAttr multiplier, ::mlir::DenseI8ArrayAttr shift, ::mlir::BoolAttr scale32, ::mlir::BoolAttr double_round, ::mlir::BoolAttr per_channel, /*optional*/::mlir::BoolAttr input_unsigned = nullptr, /*optional*/::mlir::BoolAttr output_unsigned = nullptr);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input, ::mlir::IntegerAttr input_zp, ::mlir::IntegerAttr output_zp, ::mlir::DenseI32ArrayAttr multiplier, ::mlir::DenseI8ArrayAttr shift, ::mlir::BoolAttr scale32, ::mlir::BoolAttr double_round, ::mlir::BoolAttr per_channel, /*optional*/::mlir::BoolAttr input_unsigned = nullptr, /*optional*/::mlir::BoolAttr output_unsigned = nullptr);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input, uint32_t input_zp, uint32_t output_zp, ::llvm::ArrayRef<int32_t> multiplier, ::llvm::ArrayRef<int8_t> shift, bool scale32, bool double_round, bool per_channel, /*optional*/bool input_unsigned = false, /*optional*/bool output_unsigned = false);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input, uint32_t input_zp, uint32_t output_zp, ::llvm::ArrayRef<int32_t> multiplier, ::llvm::ArrayRef<int8_t> shift, bool scale32, bool double_round, bool per_channel, /*optional*/bool input_unsigned = false, /*optional*/bool output_unsigned = false);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
private:
  ::mlir::StringAttr getAttributeNameForIndex(unsigned index) {
    return getAttributeNameForIndex((*this)->getName(), index);
  }

  static ::mlir::StringAttr getAttributeNameForIndex(::mlir::OperationName name, unsigned index) {
    assert(index < 9 && "invalid attribute index");
    assert(name.getStringRef() == getOperationName() && "invalid operation name");
    assert(name.isRegistered() && "Operation isn't registered, missing a "
          "dependent dialect loading?");
    return name.getAttributeNames()[index];
  }

public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::RescaleOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::ReshapeOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class ReshapeOpGenericAdaptorBase {
public:
  struct Properties {
    using new_shapeTy = ::mlir::DenseI64ArrayAttr;
    new_shapeTy new_shape;

    auto getNewShape() {
      auto &propStorage = this->new_shape;
      return ::llvm::cast<::mlir::DenseI64ArrayAttr>(propStorage);
    }
    void setNewShape(const ::mlir::DenseI64ArrayAttr &propValue) {
      this->new_shape = propValue;
    }
    bool operator==(const Properties &rhs) const {
      return 
        rhs.new_shape == this->new_shape &&
        true;
    }
    bool operator!=(const Properties &rhs) const {
      return !(*this == rhs);
    }
  };
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  Properties properties;
  ::mlir::RegionRange odsRegions;
public:
  ReshapeOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.reshape", odsAttrs.getContext());
  }

  ReshapeOpGenericAdaptorBase(ReshapeOp op);

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  const Properties &getProperties() {
    return properties;
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

  ::mlir::DenseI64ArrayAttr getNewShapeAttr() {
    auto attr = ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().new_shape);
    return attr;
  }

  ::llvm::ArrayRef<int64_t> getNewShape();
};
} // namespace detail
template <typename RangeT>
class ReshapeOpGenericAdaptor : public detail::ReshapeOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::ReshapeOpGenericAdaptorBase;
public:
  ReshapeOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  ReshapeOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : ReshapeOpGenericAdaptor(values, attrs, (properties ? *properties.as<Properties *>() : Properties{}), regions) {}

  ReshapeOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = nullptr) : ReshapeOpGenericAdaptor(values, attrs, Properties{}, {}) {}

  ReshapeOpGenericAdaptor(RangeT values, const ReshapeOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = ReshapeOp, typename = std::enable_if_t<std::is_same_v<LateInst, ReshapeOp>>>
  ReshapeOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput1() {
    return (*getODSOperands(0).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class ReshapeOpAdaptor : public ReshapeOpGenericAdaptor<::mlir::ValueRange> {
public:
  using ReshapeOpGenericAdaptor::ReshapeOpGenericAdaptor;
  ReshapeOpAdaptor(ReshapeOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class ReshapeOp : public ::mlir::Op<ReshapeOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::RankedTensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::OneOperand, ::mlir::OpTrait::OpInvariants, ::mlir::BytecodeOpInterface::Trait, ::mlir::InferTypeOpInterface::Trait, ::mlir::InferShapedTypeOpInterface::Trait, ::mlir::OpTrait::InferShapedTypeOpAdaptor, ::mlir::OpTrait::InferTensorType, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = ReshapeOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = ReshapeOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    static ::llvm::StringRef attrNames[] = {::llvm::StringRef("new_shape")};
    return ::llvm::ArrayRef(attrNames);
  }

  ::mlir::StringAttr getNewShapeAttrName() {
    return getAttributeNameForIndex(0);
  }

  static ::mlir::StringAttr getNewShapeAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 0);
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.reshape");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput1() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::OpOperand &getInput1Mutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::RankedTensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::RankedTensorType>>(*getODSResults(0).begin());
  }

  static ::llvm::LogicalResult setPropertiesFromAttr(Properties &prop, ::mlir::Attribute attr, ::llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::mlir::Attribute getPropertiesAsAttr(::mlir::MLIRContext *ctx, const Properties &prop);
  static llvm::hash_code computePropertiesHash(const Properties &prop);
  static std::optional<mlir::Attribute> getInherentAttr(::mlir::MLIRContext *ctx, const Properties &prop, llvm::StringRef name);
  static void setInherentAttr(Properties &prop, llvm::StringRef name, mlir::Attribute value);
  static void populateInherentAttrs(::mlir::MLIRContext *ctx, const Properties &prop, ::mlir::NamedAttrList &attrs);
  static ::llvm::LogicalResult verifyInherentAttrs(::mlir::OperationName opName, ::mlir::NamedAttrList &attrs, llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::llvm::LogicalResult readProperties(::mlir::DialectBytecodeReader &reader, ::mlir::OperationState &state);
  void writeProperties(::mlir::DialectBytecodeWriter &writer);
  ::mlir::DenseI64ArrayAttr getNewShapeAttr() {
    return ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().new_shape);
  }

  ::llvm::ArrayRef<int64_t> getNewShape();
  void setNewShapeAttr(::mlir::DenseI64ArrayAttr attr) {
    getProperties().new_shape = attr;
  }

  void setNewShape(::llvm::ArrayRef<int64_t> attrValue);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1, ::mlir::DenseI64ArrayAttr new_shape);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Value input1, ::mlir::DenseI64ArrayAttr new_shape);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1, ::mlir::DenseI64ArrayAttr new_shape);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1, ::llvm::ArrayRef<int64_t> new_shape);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Value input1, ::llvm::ArrayRef<int64_t> new_shape);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1, ::llvm::ArrayRef<int64_t> new_shape);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  ::llvm::LogicalResult verify();
  ::mlir::OpFoldResult fold(FoldAdaptor adaptor);
  static ::llvm::LogicalResult inferReturnTypes(::mlir::MLIRContext *context, ::std::optional<::mlir::Location> location, ::mlir::ValueRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::Type>&inferredReturnTypes);
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
private:
  ::mlir::StringAttr getAttributeNameForIndex(unsigned index) {
    return getAttributeNameForIndex((*this)->getName(), index);
  }

  static ::mlir::StringAttr getAttributeNameForIndex(::mlir::OperationName name, unsigned index) {
    assert(index < 1 && "invalid attribute index");
    assert(name.getStringRef() == getOperationName() && "invalid operation name");
    assert(name.isRegistered() && "Operation isn't registered, missing a "
          "dependent dialect loading?");
    return name.getAttributeNames()[index];
  }

public:
      static ::llvm::LogicalResult
      inferReturnTypeComponents(::mlir::MLIRContext *context,
                              std::optional<::mlir::Location> location,
                              Adaptor adaptor,
                              ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents> &inferredReturnShapes);


  /// Returns true when two result types are compatible for this op;
  /// Method used by InferTypeOpInterface.
  static bool isCompatibleReturnTypes(TypeRange l, TypeRange r);
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::ReshapeOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::ResizeOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class ResizeOpGenericAdaptorBase {
public:
  struct Properties {
    using borderTy = ::mlir::DenseI64ArrayAttr;
    borderTy border;

    auto getBorder() {
      auto &propStorage = this->border;
      return ::llvm::cast<::mlir::DenseI64ArrayAttr>(propStorage);
    }
    void setBorder(const ::mlir::DenseI64ArrayAttr &propValue) {
      this->border = propValue;
    }
    using modeTy = ::mlir::StringAttr;
    modeTy mode;

    auto getMode() {
      auto &propStorage = this->mode;
      return ::llvm::cast<::mlir::StringAttr>(propStorage);
    }
    void setMode(const ::mlir::StringAttr &propValue) {
      this->mode = propValue;
    }
    using offsetTy = ::mlir::DenseI64ArrayAttr;
    offsetTy offset;

    auto getOffset() {
      auto &propStorage = this->offset;
      return ::llvm::cast<::mlir::DenseI64ArrayAttr>(propStorage);
    }
    void setOffset(const ::mlir::DenseI64ArrayAttr &propValue) {
      this->offset = propValue;
    }
    using scaleTy = ::mlir::DenseI64ArrayAttr;
    scaleTy scale;

    auto getScale() {
      auto &propStorage = this->scale;
      return ::llvm::cast<::mlir::DenseI64ArrayAttr>(propStorage);
    }
    void setScale(const ::mlir::DenseI64ArrayAttr &propValue) {
      this->scale = propValue;
    }
    bool operator==(const Properties &rhs) const {
      return 
        rhs.border == this->border &&
        rhs.mode == this->mode &&
        rhs.offset == this->offset &&
        rhs.scale == this->scale &&
        true;
    }
    bool operator!=(const Properties &rhs) const {
      return !(*this == rhs);
    }
  };
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  Properties properties;
  ::mlir::RegionRange odsRegions;
public:
  ResizeOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.resize", odsAttrs.getContext());
  }

  ResizeOpGenericAdaptorBase(ResizeOp op);

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  const Properties &getProperties() {
    return properties;
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

  ::mlir::DenseI64ArrayAttr getScaleAttr() {
    auto attr = ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().scale);
    return attr;
  }

  ::llvm::ArrayRef<int64_t> getScale();
  ::mlir::DenseI64ArrayAttr getOffsetAttr() {
    auto attr = ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().offset);
    return attr;
  }

  ::llvm::ArrayRef<int64_t> getOffset();
  ::mlir::DenseI64ArrayAttr getBorderAttr() {
    auto attr = ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().border);
    return attr;
  }

  ::llvm::ArrayRef<int64_t> getBorder();
  ::mlir::StringAttr getModeAttr() {
    auto attr = ::llvm::cast<::mlir::StringAttr>(getProperties().mode);
    return attr;
  }

  ::llvm::StringRef getMode();
};
} // namespace detail
template <typename RangeT>
class ResizeOpGenericAdaptor : public detail::ResizeOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::ResizeOpGenericAdaptorBase;
public:
  ResizeOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  ResizeOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : ResizeOpGenericAdaptor(values, attrs, (properties ? *properties.as<Properties *>() : Properties{}), regions) {}

  ResizeOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = nullptr) : ResizeOpGenericAdaptor(values, attrs, Properties{}, {}) {}

  ResizeOpGenericAdaptor(RangeT values, const ResizeOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = ResizeOp, typename = std::enable_if_t<std::is_same_v<LateInst, ResizeOp>>>
  ResizeOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput() {
    return (*getODSOperands(0).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class ResizeOpAdaptor : public ResizeOpGenericAdaptor<::mlir::ValueRange> {
public:
  using ResizeOpGenericAdaptor::ResizeOpGenericAdaptor;
  ResizeOpAdaptor(ResizeOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class ResizeOp : public ::mlir::Op<ResizeOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::OneOperand, ::mlir::OpTrait::OpInvariants, ::mlir::BytecodeOpInterface::Trait, ::mlir::InferShapedTypeOpInterface::Trait, ::mlir::OpTrait::InferShapedTypeOpAdaptor, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = ResizeOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = ResizeOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    static ::llvm::StringRef attrNames[] = {::llvm::StringRef("border"), ::llvm::StringRef("mode"), ::llvm::StringRef("offset"), ::llvm::StringRef("scale")};
    return ::llvm::ArrayRef(attrNames);
  }

  ::mlir::StringAttr getBorderAttrName() {
    return getAttributeNameForIndex(0);
  }

  static ::mlir::StringAttr getBorderAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 0);
  }

  ::mlir::StringAttr getModeAttrName() {
    return getAttributeNameForIndex(1);
  }

  static ::mlir::StringAttr getModeAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 1);
  }

  ::mlir::StringAttr getOffsetAttrName() {
    return getAttributeNameForIndex(2);
  }

  static ::mlir::StringAttr getOffsetAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 2);
  }

  ::mlir::StringAttr getScaleAttrName() {
    return getAttributeNameForIndex(3);
  }

  static ::mlir::StringAttr getScaleAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 3);
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.resize");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::OpOperand &getInputMutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static ::llvm::LogicalResult setPropertiesFromAttr(Properties &prop, ::mlir::Attribute attr, ::llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::mlir::Attribute getPropertiesAsAttr(::mlir::MLIRContext *ctx, const Properties &prop);
  static llvm::hash_code computePropertiesHash(const Properties &prop);
  static std::optional<mlir::Attribute> getInherentAttr(::mlir::MLIRContext *ctx, const Properties &prop, llvm::StringRef name);
  static void setInherentAttr(Properties &prop, llvm::StringRef name, mlir::Attribute value);
  static void populateInherentAttrs(::mlir::MLIRContext *ctx, const Properties &prop, ::mlir::NamedAttrList &attrs);
  static ::llvm::LogicalResult verifyInherentAttrs(::mlir::OperationName opName, ::mlir::NamedAttrList &attrs, llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::llvm::LogicalResult readProperties(::mlir::DialectBytecodeReader &reader, ::mlir::OperationState &state);
  void writeProperties(::mlir::DialectBytecodeWriter &writer);
  ::mlir::DenseI64ArrayAttr getScaleAttr() {
    return ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().scale);
  }

  ::llvm::ArrayRef<int64_t> getScale();
  ::mlir::DenseI64ArrayAttr getOffsetAttr() {
    return ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().offset);
  }

  ::llvm::ArrayRef<int64_t> getOffset();
  ::mlir::DenseI64ArrayAttr getBorderAttr() {
    return ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().border);
  }

  ::llvm::ArrayRef<int64_t> getBorder();
  ::mlir::StringAttr getModeAttr() {
    return ::llvm::cast<::mlir::StringAttr>(getProperties().mode);
  }

  ::llvm::StringRef getMode();
  void setScaleAttr(::mlir::DenseI64ArrayAttr attr) {
    getProperties().scale = attr;
  }

  void setScale(::llvm::ArrayRef<int64_t> attrValue);
  void setOffsetAttr(::mlir::DenseI64ArrayAttr attr) {
    getProperties().offset = attr;
  }

  void setOffset(::llvm::ArrayRef<int64_t> attrValue);
  void setBorderAttr(::mlir::DenseI64ArrayAttr attr) {
    getProperties().border = attr;
  }

  void setBorder(::llvm::ArrayRef<int64_t> attrValue);
  void setModeAttr(::mlir::StringAttr attr) {
    getProperties().mode = attr;
  }

  void setMode(::llvm::StringRef attrValue);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input, ::mlir::DenseI64ArrayAttr scale, ::mlir::DenseI64ArrayAttr offset, ::mlir::DenseI64ArrayAttr border, ::mlir::StringAttr mode);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input, ::mlir::DenseI64ArrayAttr scale, ::mlir::DenseI64ArrayAttr offset, ::mlir::DenseI64ArrayAttr border, ::mlir::StringAttr mode);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input, ::llvm::ArrayRef<int64_t> scale, ::llvm::ArrayRef<int64_t> offset, ::llvm::ArrayRef<int64_t> border, ::llvm::StringRef mode);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input, ::llvm::ArrayRef<int64_t> scale, ::llvm::ArrayRef<int64_t> offset, ::llvm::ArrayRef<int64_t> border, ::llvm::StringRef mode);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  ::mlir::OpFoldResult fold(FoldAdaptor adaptor);
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
private:
  ::mlir::StringAttr getAttributeNameForIndex(unsigned index) {
    return getAttributeNameForIndex((*this)->getName(), index);
  }

  static ::mlir::StringAttr getAttributeNameForIndex(::mlir::OperationName name, unsigned index) {
    assert(index < 4 && "invalid attribute index");
    assert(name.getStringRef() == getOperationName() && "invalid operation name");
    assert(name.isRegistered() && "Operation isn't registered, missing a "
          "dependent dialect loading?");
    return name.getAttributeNames()[index];
  }

public:
  static ::llvm::LogicalResult
  inferReturnTypeComponents(::mlir::MLIRContext *context,
                          std::optional<::mlir::Location> location,
                          Adaptor adaptor,
                          ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents> &inferredReturnShapes);

};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::ResizeOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::ReverseOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class ReverseOpGenericAdaptorBase {
public:
  struct Properties {
    using axisTy = ::mlir::IntegerAttr;
    axisTy axis;

    auto getAxis() {
      auto &propStorage = this->axis;
      return ::llvm::cast<::mlir::IntegerAttr>(propStorage);
    }
    void setAxis(const ::mlir::IntegerAttr &propValue) {
      this->axis = propValue;
    }
    bool operator==(const Properties &rhs) const {
      return 
        rhs.axis == this->axis &&
        true;
    }
    bool operator!=(const Properties &rhs) const {
      return !(*this == rhs);
    }
  };
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  Properties properties;
  ::mlir::RegionRange odsRegions;
public:
  ReverseOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.reverse", odsAttrs.getContext());
  }

  ReverseOpGenericAdaptorBase(ReverseOp op);

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  const Properties &getProperties() {
    return properties;
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

  ::mlir::IntegerAttr getAxisAttr() {
    auto attr = ::llvm::cast<::mlir::IntegerAttr>(getProperties().axis);
    return attr;
  }

  uint32_t getAxis();
};
} // namespace detail
template <typename RangeT>
class ReverseOpGenericAdaptor : public detail::ReverseOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::ReverseOpGenericAdaptorBase;
public:
  ReverseOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  ReverseOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : ReverseOpGenericAdaptor(values, attrs, (properties ? *properties.as<Properties *>() : Properties{}), regions) {}

  ReverseOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = nullptr) : ReverseOpGenericAdaptor(values, attrs, Properties{}, {}) {}

  ReverseOpGenericAdaptor(RangeT values, const ReverseOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = ReverseOp, typename = std::enable_if_t<std::is_same_v<LateInst, ReverseOp>>>
  ReverseOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput1() {
    return (*getODSOperands(0).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class ReverseOpAdaptor : public ReverseOpGenericAdaptor<::mlir::ValueRange> {
public:
  using ReverseOpGenericAdaptor::ReverseOpGenericAdaptor;
  ReverseOpAdaptor(ReverseOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class ReverseOp : public ::mlir::Op<ReverseOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::OneOperand, ::mlir::OpTrait::OpInvariants, ::mlir::BytecodeOpInterface::Trait, ::mlir::InferShapedTypeOpInterface::Trait, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = ReverseOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = ReverseOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    static ::llvm::StringRef attrNames[] = {::llvm::StringRef("axis")};
    return ::llvm::ArrayRef(attrNames);
  }

  ::mlir::StringAttr getAxisAttrName() {
    return getAttributeNameForIndex(0);
  }

  static ::mlir::StringAttr getAxisAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 0);
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.reverse");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput1() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::OpOperand &getInput1Mutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static ::llvm::LogicalResult setPropertiesFromAttr(Properties &prop, ::mlir::Attribute attr, ::llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::mlir::Attribute getPropertiesAsAttr(::mlir::MLIRContext *ctx, const Properties &prop);
  static llvm::hash_code computePropertiesHash(const Properties &prop);
  static std::optional<mlir::Attribute> getInherentAttr(::mlir::MLIRContext *ctx, const Properties &prop, llvm::StringRef name);
  static void setInherentAttr(Properties &prop, llvm::StringRef name, mlir::Attribute value);
  static void populateInherentAttrs(::mlir::MLIRContext *ctx, const Properties &prop, ::mlir::NamedAttrList &attrs);
  static ::llvm::LogicalResult verifyInherentAttrs(::mlir::OperationName opName, ::mlir::NamedAttrList &attrs, llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::llvm::LogicalResult readProperties(::mlir::DialectBytecodeReader &reader, ::mlir::OperationState &state);
  void writeProperties(::mlir::DialectBytecodeWriter &writer);
  ::mlir::IntegerAttr getAxisAttr() {
    return ::llvm::cast<::mlir::IntegerAttr>(getProperties().axis);
  }

  uint32_t getAxis();
  void setAxisAttr(::mlir::IntegerAttr attr) {
    getProperties().axis = attr;
  }

  void setAxis(uint32_t attrValue);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1, ::mlir::IntegerAttr axis);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1, ::mlir::IntegerAttr axis);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1, uint32_t axis);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1, uint32_t axis);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  ::llvm::LogicalResult verify();
  ::mlir::OpFoldResult fold(FoldAdaptor adaptor);
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
private:
  ::mlir::StringAttr getAttributeNameForIndex(unsigned index) {
    return getAttributeNameForIndex((*this)->getName(), index);
  }

  static ::mlir::StringAttr getAttributeNameForIndex(::mlir::OperationName name, unsigned index) {
    assert(index < 1 && "invalid attribute index");
    assert(name.getStringRef() == getOperationName() && "invalid operation name");
    assert(name.isRegistered() && "Operation isn't registered, missing a "
          "dependent dialect loading?");
    return name.getAttributeNames()[index];
  }

public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::ReverseOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::RsqrtOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class RsqrtOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  RsqrtOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.rsqrt", odsAttrs.getContext());
  }

  RsqrtOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

};
} // namespace detail
template <typename RangeT>
class RsqrtOpGenericAdaptor : public detail::RsqrtOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::RsqrtOpGenericAdaptorBase;
public:
  RsqrtOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  RsqrtOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : RsqrtOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  RsqrtOpGenericAdaptor(RangeT values, const RsqrtOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = RsqrtOp, typename = std::enable_if_t<std::is_same_v<LateInst, RsqrtOp>>>
  RsqrtOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput1() {
    return (*getODSOperands(0).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class RsqrtOpAdaptor : public RsqrtOpGenericAdaptor<::mlir::ValueRange> {
public:
  using RsqrtOpGenericAdaptor::RsqrtOpGenericAdaptor;
  RsqrtOpAdaptor(RsqrtOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class RsqrtOp : public ::mlir::Op<RsqrtOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::OneOperand, ::mlir::OpTrait::OpInvariants, ::mlir::OpTrait::SameOperandsAndResultShape, ::mlir::OpTrait::ResultsBroadcastableShape, ::mlir::OpTrait::SameOperandsAndResultRank, ::mlir::OpTrait::SameOperandsAndResultElementType, ::mlir::InferShapedTypeOpInterface::Trait, mlir::OpTrait::tosa::TosaElementwiseOperator, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = RsqrtOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = RsqrtOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.rsqrt");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput1() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::OpOperand &getInput1Mutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::RsqrtOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::ScatterOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class ScatterOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  ScatterOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.scatter", odsAttrs.getContext());
  }

  ScatterOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

};
} // namespace detail
template <typename RangeT>
class ScatterOpGenericAdaptor : public detail::ScatterOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::ScatterOpGenericAdaptorBase;
public:
  ScatterOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  ScatterOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : ScatterOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  ScatterOpGenericAdaptor(RangeT values, const ScatterOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = ScatterOp, typename = std::enable_if_t<std::is_same_v<LateInst, ScatterOp>>>
  ScatterOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getValuesIn() {
    return (*getODSOperands(0).begin());
  }

  ValueT getIndices() {
    return (*getODSOperands(1).begin());
  }

  ValueT getInput() {
    return (*getODSOperands(2).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class ScatterOpAdaptor : public ScatterOpGenericAdaptor<::mlir::ValueRange> {
public:
  using ScatterOpGenericAdaptor::ScatterOpGenericAdaptor;
  ScatterOpAdaptor(ScatterOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class ScatterOp : public ::mlir::Op<ScatterOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::NOperands<3>::Impl, ::mlir::OpTrait::OpInvariants, ::mlir::InferShapedTypeOpInterface::Trait, ::mlir::OpTrait::InferShapedTypeOpAdaptor, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = ScatterOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = ScatterOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.scatter");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getValuesIn() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::TypedValue<::mlir::RankedTensorType> getIndices() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::RankedTensorType>>(*getODSOperands(1).begin());
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(2).begin());
  }

  ::mlir::OpOperand &getValuesInMutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getIndicesMutable() {
    auto range = getODSOperandIndexAndLength(1);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getInputMutable() {
    auto range = getODSOperandIndexAndLength(2);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getValuesOut() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type values_out, ::mlir::Value values_in, ::mlir::Value indices, ::mlir::Value input);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value values_in, ::mlir::Value indices, ::mlir::Value input);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
  static ::llvm::LogicalResult
  inferReturnTypeComponents(::mlir::MLIRContext *context,
                          std::optional<::mlir::Location> location,
                          Adaptor adaptor,
                          ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents> &inferredReturnShapes);

};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::ScatterOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::SelectOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class SelectOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  SelectOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.select", odsAttrs.getContext());
  }

  SelectOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

};
} // namespace detail
template <typename RangeT>
class SelectOpGenericAdaptor : public detail::SelectOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::SelectOpGenericAdaptorBase;
public:
  SelectOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  SelectOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : SelectOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  SelectOpGenericAdaptor(RangeT values, const SelectOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = SelectOp, typename = std::enable_if_t<std::is_same_v<LateInst, SelectOp>>>
  SelectOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getPred() {
    return (*getODSOperands(0).begin());
  }

  ValueT getOnTrue() {
    return (*getODSOperands(1).begin());
  }

  ValueT getOnFalse() {
    return (*getODSOperands(2).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class SelectOpAdaptor : public SelectOpGenericAdaptor<::mlir::ValueRange> {
public:
  using SelectOpGenericAdaptor::SelectOpGenericAdaptor;
  SelectOpAdaptor(SelectOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class SelectOp : public ::mlir::Op<SelectOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::NOperands<3>::Impl, ::mlir::OpTrait::OpInvariants, ::mlir::OpTrait::ResultsBroadcastableShape, ::mlir::OpTrait::SameOperandsAndResultRank, ::mlir::InferShapedTypeOpInterface::Trait, mlir::OpTrait::tosa::TosaElementwiseOperator, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = SelectOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = SelectOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.select");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getPred() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::TypedValue<::mlir::TensorType> getOnTrue() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(1).begin());
  }

  ::mlir::TypedValue<::mlir::TensorType> getOnFalse() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(2).begin());
  }

  ::mlir::OpOperand &getPredMutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getOnTrueMutable() {
    auto range = getODSOperandIndexAndLength(1);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getOnFalseMutable() {
    auto range = getODSOperandIndexAndLength(2);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value pred, ::mlir::Value on_true, ::mlir::Value on_false);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value pred, ::mlir::Value on_true, ::mlir::Value on_false);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  static ::llvm::LogicalResult canonicalize(SelectOp op, ::mlir::PatternRewriter &rewriter);
  static void getCanonicalizationPatterns(::mlir::RewritePatternSet &results, ::mlir::MLIRContext *context);
  ::mlir::OpFoldResult fold(FoldAdaptor adaptor);
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::SelectOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::SigmoidOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class SigmoidOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  SigmoidOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.sigmoid", odsAttrs.getContext());
  }

  SigmoidOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

};
} // namespace detail
template <typename RangeT>
class SigmoidOpGenericAdaptor : public detail::SigmoidOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::SigmoidOpGenericAdaptorBase;
public:
  SigmoidOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  SigmoidOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : SigmoidOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  SigmoidOpGenericAdaptor(RangeT values, const SigmoidOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = SigmoidOp, typename = std::enable_if_t<std::is_same_v<LateInst, SigmoidOp>>>
  SigmoidOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput() {
    return (*getODSOperands(0).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class SigmoidOpAdaptor : public SigmoidOpGenericAdaptor<::mlir::ValueRange> {
public:
  using SigmoidOpGenericAdaptor::SigmoidOpGenericAdaptor;
  SigmoidOpAdaptor(SigmoidOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class SigmoidOp : public ::mlir::Op<SigmoidOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::OneOperand, ::mlir::OpTrait::OpInvariants, ::mlir::OpTrait::SameOperandsAndResultShape, ::mlir::OpTrait::ResultsBroadcastableShape, ::mlir::OpTrait::SameOperandsAndResultRank, ::mlir::OpTrait::SameOperandsAndResultElementType, ::mlir::InferShapedTypeOpInterface::Trait, mlir::OpTrait::tosa::TosaElementwiseOperator, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = SigmoidOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = SigmoidOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.sigmoid");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::OpOperand &getInputMutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::SigmoidOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::SinOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class SinOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  SinOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.sin", odsAttrs.getContext());
  }

  SinOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

};
} // namespace detail
template <typename RangeT>
class SinOpGenericAdaptor : public detail::SinOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::SinOpGenericAdaptorBase;
public:
  SinOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  SinOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : SinOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  SinOpGenericAdaptor(RangeT values, const SinOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = SinOp, typename = std::enable_if_t<std::is_same_v<LateInst, SinOp>>>
  SinOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput1() {
    return (*getODSOperands(0).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class SinOpAdaptor : public SinOpGenericAdaptor<::mlir::ValueRange> {
public:
  using SinOpGenericAdaptor::SinOpGenericAdaptor;
  SinOpAdaptor(SinOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class SinOp : public ::mlir::Op<SinOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::OneOperand, ::mlir::OpTrait::OpInvariants, ::mlir::OpTrait::SameOperandsAndResultShape, ::mlir::OpTrait::ResultsBroadcastableShape, ::mlir::OpTrait::SameOperandsAndResultRank, ::mlir::OpTrait::SameOperandsAndResultElementType, ::mlir::InferShapedTypeOpInterface::Trait, mlir::OpTrait::tosa::TosaElementwiseOperator, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = SinOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = SinOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.sin");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput1() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::OpOperand &getInput1Mutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::SinOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::SliceOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class SliceOpGenericAdaptorBase {
public:
  struct Properties {
    using sizeTy = ::mlir::DenseI64ArrayAttr;
    sizeTy size;

    auto getSize() {
      auto &propStorage = this->size;
      return ::llvm::cast<::mlir::DenseI64ArrayAttr>(propStorage);
    }
    void setSize(const ::mlir::DenseI64ArrayAttr &propValue) {
      this->size = propValue;
    }
    using startTy = ::mlir::DenseI64ArrayAttr;
    startTy start;

    auto getStart() {
      auto &propStorage = this->start;
      return ::llvm::cast<::mlir::DenseI64ArrayAttr>(propStorage);
    }
    void setStart(const ::mlir::DenseI64ArrayAttr &propValue) {
      this->start = propValue;
    }
    bool operator==(const Properties &rhs) const {
      return 
        rhs.size == this->size &&
        rhs.start == this->start &&
        true;
    }
    bool operator!=(const Properties &rhs) const {
      return !(*this == rhs);
    }
  };
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  Properties properties;
  ::mlir::RegionRange odsRegions;
public:
  SliceOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.slice", odsAttrs.getContext());
  }

  SliceOpGenericAdaptorBase(SliceOp op);

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  const Properties &getProperties() {
    return properties;
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

  ::mlir::DenseI64ArrayAttr getStartAttr() {
    auto attr = ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().start);
    return attr;
  }

  ::llvm::ArrayRef<int64_t> getStart();
  ::mlir::DenseI64ArrayAttr getSizeAttr() {
    auto attr = ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().size);
    return attr;
  }

  ::llvm::ArrayRef<int64_t> getSize();
};
} // namespace detail
template <typename RangeT>
class SliceOpGenericAdaptor : public detail::SliceOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::SliceOpGenericAdaptorBase;
public:
  SliceOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  SliceOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : SliceOpGenericAdaptor(values, attrs, (properties ? *properties.as<Properties *>() : Properties{}), regions) {}

  SliceOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = nullptr) : SliceOpGenericAdaptor(values, attrs, Properties{}, {}) {}

  SliceOpGenericAdaptor(RangeT values, const SliceOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = SliceOp, typename = std::enable_if_t<std::is_same_v<LateInst, SliceOp>>>
  SliceOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput1() {
    return (*getODSOperands(0).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class SliceOpAdaptor : public SliceOpGenericAdaptor<::mlir::ValueRange> {
public:
  using SliceOpGenericAdaptor::SliceOpGenericAdaptor;
  SliceOpAdaptor(SliceOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class SliceOp : public ::mlir::Op<SliceOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::OneOperand, ::mlir::OpTrait::OpInvariants, ::mlir::BytecodeOpInterface::Trait, ::mlir::InferShapedTypeOpInterface::Trait, ::mlir::OpTrait::InferShapedTypeOpAdaptor, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = SliceOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = SliceOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    static ::llvm::StringRef attrNames[] = {::llvm::StringRef("size"), ::llvm::StringRef("start")};
    return ::llvm::ArrayRef(attrNames);
  }

  ::mlir::StringAttr getSizeAttrName() {
    return getAttributeNameForIndex(0);
  }

  static ::mlir::StringAttr getSizeAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 0);
  }

  ::mlir::StringAttr getStartAttrName() {
    return getAttributeNameForIndex(1);
  }

  static ::mlir::StringAttr getStartAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 1);
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.slice");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput1() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::OpOperand &getInput1Mutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static ::llvm::LogicalResult setPropertiesFromAttr(Properties &prop, ::mlir::Attribute attr, ::llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::mlir::Attribute getPropertiesAsAttr(::mlir::MLIRContext *ctx, const Properties &prop);
  static llvm::hash_code computePropertiesHash(const Properties &prop);
  static std::optional<mlir::Attribute> getInherentAttr(::mlir::MLIRContext *ctx, const Properties &prop, llvm::StringRef name);
  static void setInherentAttr(Properties &prop, llvm::StringRef name, mlir::Attribute value);
  static void populateInherentAttrs(::mlir::MLIRContext *ctx, const Properties &prop, ::mlir::NamedAttrList &attrs);
  static ::llvm::LogicalResult verifyInherentAttrs(::mlir::OperationName opName, ::mlir::NamedAttrList &attrs, llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::llvm::LogicalResult readProperties(::mlir::DialectBytecodeReader &reader, ::mlir::OperationState &state);
  void writeProperties(::mlir::DialectBytecodeWriter &writer);
  ::mlir::DenseI64ArrayAttr getStartAttr() {
    return ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().start);
  }

  ::llvm::ArrayRef<int64_t> getStart();
  ::mlir::DenseI64ArrayAttr getSizeAttr() {
    return ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().size);
  }

  ::llvm::ArrayRef<int64_t> getSize();
  void setStartAttr(::mlir::DenseI64ArrayAttr attr) {
    getProperties().start = attr;
  }

  void setStart(::llvm::ArrayRef<int64_t> attrValue);
  void setSizeAttr(::mlir::DenseI64ArrayAttr attr) {
    getProperties().size = attr;
  }

  void setSize(::llvm::ArrayRef<int64_t> attrValue);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1, ::mlir::DenseI64ArrayAttr start, ::mlir::DenseI64ArrayAttr size);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1, ::mlir::DenseI64ArrayAttr start, ::mlir::DenseI64ArrayAttr size);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1, ::llvm::ArrayRef<int64_t> start, ::llvm::ArrayRef<int64_t> size);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1, ::llvm::ArrayRef<int64_t> start, ::llvm::ArrayRef<int64_t> size);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  ::llvm::LogicalResult verify();
  static void getCanonicalizationPatterns(::mlir::RewritePatternSet &results, ::mlir::MLIRContext *context);
  ::mlir::OpFoldResult fold(FoldAdaptor adaptor);
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
private:
  ::mlir::StringAttr getAttributeNameForIndex(unsigned index) {
    return getAttributeNameForIndex((*this)->getName(), index);
  }

  static ::mlir::StringAttr getAttributeNameForIndex(::mlir::OperationName name, unsigned index) {
    assert(index < 2 && "invalid attribute index");
    assert(name.getStringRef() == getOperationName() && "invalid operation name");
    assert(name.isRegistered() && "Operation isn't registered, missing a "
          "dependent dialect loading?");
    return name.getAttributeNames()[index];
  }

public:
  static ::llvm::LogicalResult
  inferReturnTypeComponents(::mlir::MLIRContext *context,
                          std::optional<::mlir::Location> location,
                          Adaptor adaptor,
                          ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents> &inferredReturnShapes);

};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::SliceOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::SubOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class SubOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  SubOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.sub", odsAttrs.getContext());
  }

  SubOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

};
} // namespace detail
template <typename RangeT>
class SubOpGenericAdaptor : public detail::SubOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::SubOpGenericAdaptorBase;
public:
  SubOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  SubOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : SubOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  SubOpGenericAdaptor(RangeT values, const SubOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = SubOp, typename = std::enable_if_t<std::is_same_v<LateInst, SubOp>>>
  SubOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput1() {
    return (*getODSOperands(0).begin());
  }

  ValueT getInput2() {
    return (*getODSOperands(1).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class SubOpAdaptor : public SubOpGenericAdaptor<::mlir::ValueRange> {
public:
  using SubOpGenericAdaptor::SubOpGenericAdaptor;
  SubOpAdaptor(SubOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class SubOp : public ::mlir::Op<SubOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::NOperands<2>::Impl, ::mlir::OpTrait::OpInvariants, ::mlir::OpTrait::ResultsBroadcastableShape, ::mlir::OpTrait::SameOperandsAndResultElementType, ::mlir::OpTrait::SameOperandsAndResultRank, ::mlir::InferShapedTypeOpInterface::Trait, mlir::OpTrait::tosa::TosaElementwiseOperator, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = SubOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = SubOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.sub");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput1() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput2() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(1).begin());
  }

  ::mlir::OpOperand &getInput1Mutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getInput2Mutable() {
    auto range = getODSOperandIndexAndLength(1);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1, ::mlir::Value input2);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1, ::mlir::Value input2);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  ::mlir::OpFoldResult fold(FoldAdaptor adaptor);
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::SubOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::TableOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class TableOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  TableOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.table", odsAttrs.getContext());
  }

  TableOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

};
} // namespace detail
template <typename RangeT>
class TableOpGenericAdaptor : public detail::TableOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::TableOpGenericAdaptorBase;
public:
  TableOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  TableOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : TableOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  TableOpGenericAdaptor(RangeT values, const TableOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = TableOp, typename = std::enable_if_t<std::is_same_v<LateInst, TableOp>>>
  TableOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput1() {
    return (*getODSOperands(0).begin());
  }

  ValueT getTable() {
    return (*getODSOperands(1).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class TableOpAdaptor : public TableOpGenericAdaptor<::mlir::ValueRange> {
public:
  using TableOpGenericAdaptor::TableOpGenericAdaptor;
  TableOpAdaptor(TableOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class TableOp : public ::mlir::Op<TableOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::NOperands<2>::Impl, ::mlir::OpTrait::OpInvariants, ::mlir::InferShapedTypeOpInterface::Trait, ::mlir::OpTrait::InferShapedTypeOpAdaptor, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = TableOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = TableOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.table");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput1() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::TypedValue<::mlir::TensorType> getTable() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(1).begin());
  }

  ::mlir::OpOperand &getInput1Mutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getTableMutable() {
    auto range = getODSOperandIndexAndLength(1);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1, ::mlir::Value table);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1, ::mlir::Value table);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  ::llvm::LogicalResult verify();
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
  static ::llvm::LogicalResult
  inferReturnTypeComponents(::mlir::MLIRContext *context,
                          std::optional<::mlir::Location> location,
                          Adaptor adaptor,
                          ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents> &inferredReturnShapes);

};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::TableOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::TanhOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class TanhOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  TanhOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.tanh", odsAttrs.getContext());
  }

  TanhOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

};
} // namespace detail
template <typename RangeT>
class TanhOpGenericAdaptor : public detail::TanhOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::TanhOpGenericAdaptorBase;
public:
  TanhOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  TanhOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : TanhOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  TanhOpGenericAdaptor(RangeT values, const TanhOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = TanhOp, typename = std::enable_if_t<std::is_same_v<LateInst, TanhOp>>>
  TanhOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput() {
    return (*getODSOperands(0).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class TanhOpAdaptor : public TanhOpGenericAdaptor<::mlir::ValueRange> {
public:
  using TanhOpGenericAdaptor::TanhOpGenericAdaptor;
  TanhOpAdaptor(TanhOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class TanhOp : public ::mlir::Op<TanhOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::OneOperand, ::mlir::OpTrait::OpInvariants, ::mlir::OpTrait::SameOperandsAndResultShape, ::mlir::OpTrait::ResultsBroadcastableShape, ::mlir::OpTrait::SameOperandsAndResultRank, ::mlir::OpTrait::SameOperandsAndResultElementType, ::mlir::InferShapedTypeOpInterface::Trait, mlir::OpTrait::tosa::TosaElementwiseOperator, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = TanhOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = TanhOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.tanh");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::OpOperand &getInputMutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::TanhOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::TileOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class TileOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  TileOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.tile", odsAttrs.getContext());
  }

  TileOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

};
} // namespace detail
template <typename RangeT>
class TileOpGenericAdaptor : public detail::TileOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::TileOpGenericAdaptorBase;
public:
  TileOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  TileOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : TileOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  TileOpGenericAdaptor(RangeT values, const TileOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = TileOp, typename = std::enable_if_t<std::is_same_v<LateInst, TileOp>>>
  TileOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput1() {
    return (*getODSOperands(0).begin());
  }

  ValueT getMultiples() {
    return (*getODSOperands(1).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class TileOpAdaptor : public TileOpGenericAdaptor<::mlir::ValueRange> {
public:
  using TileOpGenericAdaptor::TileOpGenericAdaptor;
  TileOpAdaptor(TileOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class TileOp : public ::mlir::Op<TileOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::NOperands<2>::Impl, ::mlir::OpTrait::OpInvariants, ::mlir::InferShapedTypeOpInterface::Trait, ::mlir::OpTrait::InferShapedTypeOpAdaptor, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = TileOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = TileOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.tile");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput1() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::TypedValue<mlir::tosa::shapeType> getMultiples() {
    return ::llvm::cast<::mlir::TypedValue<mlir::tosa::shapeType>>(*getODSOperands(1).begin());
  }

  ::mlir::OpOperand &getInput1Mutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getMultiplesMutable() {
    auto range = getODSOperandIndexAndLength(1);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1, ::mlir::Value multiples);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1, ::mlir::Value multiples);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  ::llvm::LogicalResult verify();
  ::mlir::OpFoldResult fold(FoldAdaptor adaptor);
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
      static ::llvm::LogicalResult
      inferReturnTypeComponents(::mlir::MLIRContext *context,
                              std::optional<::mlir::Location> location,
                              Adaptor adaptor,
                              ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents> &inferredReturnShapes);


  LogicalResult getConstantMultiples(llvm::SmallVector<int64_t> &multiples);
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::TileOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::TransposeConv2DOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class TransposeConv2DOpGenericAdaptorBase {
public:
  struct Properties {
    using acc_typeTy = ::mlir::TypeAttr;
    acc_typeTy acc_type;

    auto getAccType() {
      auto &propStorage = this->acc_type;
      return ::llvm::cast<::mlir::TypeAttr>(propStorage);
    }
    void setAccType(const ::mlir::TypeAttr &propValue) {
      this->acc_type = propValue;
    }
    using local_boundTy = ::mlir::BoolAttr;
    local_boundTy local_bound;

    auto getLocalBound() {
      auto &propStorage = this->local_bound;
      return ::llvm::dyn_cast_or_null<::mlir::BoolAttr>(propStorage);
    }
    void setLocalBound(const ::mlir::BoolAttr &propValue) {
      this->local_bound = propValue;
    }
    using out_padTy = ::mlir::DenseI64ArrayAttr;
    out_padTy out_pad;

    auto getOutPad() {
      auto &propStorage = this->out_pad;
      return ::llvm::cast<::mlir::DenseI64ArrayAttr>(propStorage);
    }
    void setOutPad(const ::mlir::DenseI64ArrayAttr &propValue) {
      this->out_pad = propValue;
    }
    using out_shapeTy = ::mlir::DenseI64ArrayAttr;
    out_shapeTy out_shape;

    auto getOutShape() {
      auto &propStorage = this->out_shape;
      return ::llvm::cast<::mlir::DenseI64ArrayAttr>(propStorage);
    }
    void setOutShape(const ::mlir::DenseI64ArrayAttr &propValue) {
      this->out_shape = propValue;
    }
    using quantization_infoTy = mlir::tosa::ConvOpQuantizationAttr;
    quantization_infoTy quantization_info;

    auto getQuantizationInfo() {
      auto &propStorage = this->quantization_info;
      return ::llvm::dyn_cast_or_null<mlir::tosa::ConvOpQuantizationAttr>(propStorage);
    }
    void setQuantizationInfo(const mlir::tosa::ConvOpQuantizationAttr &propValue) {
      this->quantization_info = propValue;
    }
    using strideTy = ::mlir::DenseI64ArrayAttr;
    strideTy stride;

    auto getStride() {
      auto &propStorage = this->stride;
      return ::llvm::cast<::mlir::DenseI64ArrayAttr>(propStorage);
    }
    void setStride(const ::mlir::DenseI64ArrayAttr &propValue) {
      this->stride = propValue;
    }
    bool operator==(const Properties &rhs) const {
      return 
        rhs.acc_type == this->acc_type &&
        rhs.local_bound == this->local_bound &&
        rhs.out_pad == this->out_pad &&
        rhs.out_shape == this->out_shape &&
        rhs.quantization_info == this->quantization_info &&
        rhs.stride == this->stride &&
        true;
    }
    bool operator!=(const Properties &rhs) const {
      return !(*this == rhs);
    }
  };
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  Properties properties;
  ::mlir::RegionRange odsRegions;
public:
  TransposeConv2DOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.transpose_conv2d", odsAttrs.getContext());
  }

  TransposeConv2DOpGenericAdaptorBase(TransposeConv2DOp op);

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  const Properties &getProperties() {
    return properties;
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

  ::mlir::DenseI64ArrayAttr getOutPadAttr() {
    auto attr = ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().out_pad);
    return attr;
  }

  ::llvm::ArrayRef<int64_t> getOutPad();
  ::mlir::DenseI64ArrayAttr getStrideAttr() {
    auto attr = ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().stride);
    return attr;
  }

  ::llvm::ArrayRef<int64_t> getStride();
  ::mlir::DenseI64ArrayAttr getOutShapeAttr() {
    auto attr = ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().out_shape);
    return attr;
  }

  ::llvm::ArrayRef<int64_t> getOutShape();
  ::mlir::TypeAttr getAccTypeAttr() {
    auto attr = ::llvm::cast<::mlir::TypeAttr>(getProperties().acc_type);
    return attr;
  }

  ::mlir::Type getAccType();
  mlir::tosa::ConvOpQuantizationAttr getQuantizationInfoAttr() {
    auto attr = ::llvm::dyn_cast_or_null<mlir::tosa::ConvOpQuantizationAttr>(getProperties().quantization_info);
    return attr;
  }

  ::std::optional<mlir::tosa::ConvOpQuantizationAttr> getQuantizationInfo();
  ::mlir::BoolAttr getLocalBoundAttr();
  bool getLocalBound();
};
} // namespace detail
template <typename RangeT>
class TransposeConv2DOpGenericAdaptor : public detail::TransposeConv2DOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::TransposeConv2DOpGenericAdaptorBase;
public:
  TransposeConv2DOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  TransposeConv2DOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : TransposeConv2DOpGenericAdaptor(values, attrs, (properties ? *properties.as<Properties *>() : Properties{}), regions) {}

  TransposeConv2DOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = nullptr) : TransposeConv2DOpGenericAdaptor(values, attrs, Properties{}, {}) {}

  TransposeConv2DOpGenericAdaptor(RangeT values, const TransposeConv2DOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = TransposeConv2DOp, typename = std::enable_if_t<std::is_same_v<LateInst, TransposeConv2DOp>>>
  TransposeConv2DOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput() {
    return (*getODSOperands(0).begin());
  }

  ValueT getFilter() {
    return (*getODSOperands(1).begin());
  }

  ValueT getBias() {
    return (*getODSOperands(2).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class TransposeConv2DOpAdaptor : public TransposeConv2DOpGenericAdaptor<::mlir::ValueRange> {
public:
  using TransposeConv2DOpGenericAdaptor::TransposeConv2DOpGenericAdaptor;
  TransposeConv2DOpAdaptor(TransposeConv2DOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class TransposeConv2DOp : public ::mlir::Op<TransposeConv2DOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::NOperands<3>::Impl, ::mlir::OpTrait::OpInvariants, ::mlir::BytecodeOpInterface::Trait, ::mlir::InferShapedTypeOpInterface::Trait, ::mlir::OpTrait::InferShapedTypeOpAdaptor, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = TransposeConv2DOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = TransposeConv2DOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    static ::llvm::StringRef attrNames[] = {::llvm::StringRef("acc_type"), ::llvm::StringRef("local_bound"), ::llvm::StringRef("out_pad"), ::llvm::StringRef("out_shape"), ::llvm::StringRef("quantization_info"), ::llvm::StringRef("stride")};
    return ::llvm::ArrayRef(attrNames);
  }

  ::mlir::StringAttr getAccTypeAttrName() {
    return getAttributeNameForIndex(0);
  }

  static ::mlir::StringAttr getAccTypeAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 0);
  }

  ::mlir::StringAttr getLocalBoundAttrName() {
    return getAttributeNameForIndex(1);
  }

  static ::mlir::StringAttr getLocalBoundAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 1);
  }

  ::mlir::StringAttr getOutPadAttrName() {
    return getAttributeNameForIndex(2);
  }

  static ::mlir::StringAttr getOutPadAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 2);
  }

  ::mlir::StringAttr getOutShapeAttrName() {
    return getAttributeNameForIndex(3);
  }

  static ::mlir::StringAttr getOutShapeAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 3);
  }

  ::mlir::StringAttr getQuantizationInfoAttrName() {
    return getAttributeNameForIndex(4);
  }

  static ::mlir::StringAttr getQuantizationInfoAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 4);
  }

  ::mlir::StringAttr getStrideAttrName() {
    return getAttributeNameForIndex(5);
  }

  static ::mlir::StringAttr getStrideAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 5);
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.transpose_conv2d");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::TypedValue<::mlir::RankedTensorType> getFilter() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::RankedTensorType>>(*getODSOperands(1).begin());
  }

  ::mlir::TypedValue<::mlir::TensorType> getBias() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(2).begin());
  }

  ::mlir::OpOperand &getInputMutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getFilterMutable() {
    auto range = getODSOperandIndexAndLength(1);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getBiasMutable() {
    auto range = getODSOperandIndexAndLength(2);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static ::llvm::LogicalResult setPropertiesFromAttr(Properties &prop, ::mlir::Attribute attr, ::llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::mlir::Attribute getPropertiesAsAttr(::mlir::MLIRContext *ctx, const Properties &prop);
  static llvm::hash_code computePropertiesHash(const Properties &prop);
  static std::optional<mlir::Attribute> getInherentAttr(::mlir::MLIRContext *ctx, const Properties &prop, llvm::StringRef name);
  static void setInherentAttr(Properties &prop, llvm::StringRef name, mlir::Attribute value);
  static void populateInherentAttrs(::mlir::MLIRContext *ctx, const Properties &prop, ::mlir::NamedAttrList &attrs);
  static ::llvm::LogicalResult verifyInherentAttrs(::mlir::OperationName opName, ::mlir::NamedAttrList &attrs, llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::llvm::LogicalResult readProperties(::mlir::DialectBytecodeReader &reader, ::mlir::OperationState &state);
  void writeProperties(::mlir::DialectBytecodeWriter &writer);
  ::mlir::DenseI64ArrayAttr getOutPadAttr() {
    return ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().out_pad);
  }

  ::llvm::ArrayRef<int64_t> getOutPad();
  ::mlir::DenseI64ArrayAttr getStrideAttr() {
    return ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().stride);
  }

  ::llvm::ArrayRef<int64_t> getStride();
  ::mlir::DenseI64ArrayAttr getOutShapeAttr() {
    return ::llvm::cast<::mlir::DenseI64ArrayAttr>(getProperties().out_shape);
  }

  ::llvm::ArrayRef<int64_t> getOutShape();
  ::mlir::TypeAttr getAccTypeAttr() {
    return ::llvm::cast<::mlir::TypeAttr>(getProperties().acc_type);
  }

  ::mlir::Type getAccType();
  mlir::tosa::ConvOpQuantizationAttr getQuantizationInfoAttr() {
    return ::llvm::dyn_cast_or_null<mlir::tosa::ConvOpQuantizationAttr>(getProperties().quantization_info);
  }

  ::std::optional<mlir::tosa::ConvOpQuantizationAttr> getQuantizationInfo();
  ::mlir::BoolAttr getLocalBoundAttr() {
    return ::llvm::dyn_cast_or_null<::mlir::BoolAttr>(getProperties().local_bound);
  }

  bool getLocalBound();
  void setOutPadAttr(::mlir::DenseI64ArrayAttr attr) {
    getProperties().out_pad = attr;
  }

  void setOutPad(::llvm::ArrayRef<int64_t> attrValue);
  void setStrideAttr(::mlir::DenseI64ArrayAttr attr) {
    getProperties().stride = attr;
  }

  void setStride(::llvm::ArrayRef<int64_t> attrValue);
  void setOutShapeAttr(::mlir::DenseI64ArrayAttr attr) {
    getProperties().out_shape = attr;
  }

  void setOutShape(::llvm::ArrayRef<int64_t> attrValue);
  void setAccTypeAttr(::mlir::TypeAttr attr) {
    getProperties().acc_type = attr;
  }

  void setAccType(::mlir::Type attrValue);
  void setQuantizationInfoAttr(mlir::tosa::ConvOpQuantizationAttr attr) {
    getProperties().quantization_info = attr;
  }

  void setLocalBoundAttr(::mlir::BoolAttr attr) {
    getProperties().local_bound = attr;
  }

  void setLocalBound(::std::optional<bool> attrValue);
  ::mlir::Attribute removeQuantizationInfoAttr() {
      auto &attr = getProperties().quantization_info;
      attr = {};
      return attr;
  }

  ::mlir::Attribute removeLocalBoundAttr() {
      auto &attr = getProperties().local_bound;
      attr = {};
      return attr;
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type outputType, ::mlir::Value input, ::mlir::Value weight, mlir::Value bias, ::mlir::DenseI64ArrayAttr outpad, ::mlir::DenseI64ArrayAttr stride, ::mlir::DenseI64ArrayAttr outputShape, ::mlir::TypeAttr acc_type);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input, ::mlir::Value filter, ::mlir::Value bias, ::mlir::DenseI64ArrayAttr out_pad, ::mlir::DenseI64ArrayAttr stride, ::mlir::DenseI64ArrayAttr out_shape, ::mlir::TypeAttr acc_type, /*optional*/mlir::tosa::ConvOpQuantizationAttr quantization_info, /*optional*/::mlir::BoolAttr local_bound = nullptr);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input, ::mlir::Value filter, ::mlir::Value bias, ::mlir::DenseI64ArrayAttr out_pad, ::mlir::DenseI64ArrayAttr stride, ::mlir::DenseI64ArrayAttr out_shape, ::mlir::TypeAttr acc_type, /*optional*/mlir::tosa::ConvOpQuantizationAttr quantization_info, /*optional*/::mlir::BoolAttr local_bound = nullptr);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input, ::mlir::Value filter, ::mlir::Value bias, ::llvm::ArrayRef<int64_t> out_pad, ::llvm::ArrayRef<int64_t> stride, ::llvm::ArrayRef<int64_t> out_shape, ::mlir::Type acc_type, /*optional*/mlir::tosa::ConvOpQuantizationAttr quantization_info, /*optional*/bool local_bound = false);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input, ::mlir::Value filter, ::mlir::Value bias, ::llvm::ArrayRef<int64_t> out_pad, ::llvm::ArrayRef<int64_t> stride, ::llvm::ArrayRef<int64_t> out_shape, ::mlir::Type acc_type, /*optional*/mlir::tosa::ConvOpQuantizationAttr quantization_info, /*optional*/bool local_bound = false);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  ::llvm::LogicalResult verify();
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
private:
  ::mlir::StringAttr getAttributeNameForIndex(unsigned index) {
    return getAttributeNameForIndex((*this)->getName(), index);
  }

  static ::mlir::StringAttr getAttributeNameForIndex(::mlir::OperationName name, unsigned index) {
    assert(index < 6 && "invalid attribute index");
    assert(name.getStringRef() == getOperationName() && "invalid operation name");
    assert(name.isRegistered() && "Operation isn't registered, missing a "
          "dependent dialect loading?");
    return name.getAttributeNames()[index];
  }

public:
  static ::llvm::LogicalResult
  inferReturnTypeComponents(::mlir::MLIRContext *context,
                          std::optional<::mlir::Location> location,
                          Adaptor adaptor,
                          ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents> &inferredReturnShapes);

};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::TransposeConv2DOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::TransposeOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class TransposeOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  TransposeOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.transpose", odsAttrs.getContext());
  }

  TransposeOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

};
} // namespace detail
template <typename RangeT>
class TransposeOpGenericAdaptor : public detail::TransposeOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::TransposeOpGenericAdaptorBase;
public:
  TransposeOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  TransposeOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : TransposeOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  TransposeOpGenericAdaptor(RangeT values, const TransposeOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = TransposeOp, typename = std::enable_if_t<std::is_same_v<LateInst, TransposeOp>>>
  TransposeOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getInput1() {
    return (*getODSOperands(0).begin());
  }

  ValueT getPerms() {
    return (*getODSOperands(1).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class TransposeOpAdaptor : public TransposeOpGenericAdaptor<::mlir::ValueRange> {
public:
  using TransposeOpGenericAdaptor::TransposeOpGenericAdaptor;
  TransposeOpAdaptor(TransposeOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class TransposeOp : public ::mlir::Op<TransposeOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::TensorType>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::NOperands<2>::Impl, ::mlir::OpTrait::OpInvariants, ::mlir::ReifyRankedShapedTypeOpInterface::Trait, ::mlir::InferShapedTypeOpInterface::Trait, ::mlir::OpTrait::InferShapedTypeOpAdaptor, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = TransposeOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = TransposeOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.transpose");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getInput1() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(0).begin());
  }

  ::mlir::TypedValue<::mlir::TensorType> getPerms() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSOperands(1).begin());
  }

  ::mlir::OpOperand &getInput1Mutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  ::mlir::OpOperand &getPermsMutable() {
    auto range = getODSOperandIndexAndLength(1);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::TensorType> getOutput() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::TensorType>>(*getODSResults(0).begin());
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type output, ::mlir::Value input1, ::mlir::Value perms);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input1, ::mlir::Value perms);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  ::llvm::LogicalResult verify();
  static void getCanonicalizationPatterns(::mlir::RewritePatternSet &results, ::mlir::MLIRContext *context);
  ::mlir::OpFoldResult fold(FoldAdaptor adaptor);
  ::llvm::LogicalResult reifyResultShapes(::mlir::OpBuilder &builder, ::mlir::ReifiedRankedShapedTypeDims &reifiedReturnShapes);
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
      static ::llvm::LogicalResult
      inferReturnTypeComponents(::mlir::MLIRContext *context,
                              std::optional<::mlir::Location> location,
                              Adaptor adaptor,
                              ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents> &inferredReturnShapes);


  LogicalResult getConstantPerms(llvm::SmallVector<int32_t> &perms);
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::TransposeOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::VariableOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class VariableOpGenericAdaptorBase {
public:
  struct Properties {
    using initial_valueTy = ::mlir::Attribute;
    initial_valueTy initial_value;

    auto getInitialValue() {
      auto &propStorage = this->initial_value;
      return ::llvm::dyn_cast_or_null<::mlir::Attribute>(propStorage);
    }
    void setInitialValue(const ::mlir::Attribute &propValue) {
      this->initial_value = propValue;
    }
    using nameTy = ::mlir::StringAttr;
    nameTy name;

    auto getName() {
      auto &propStorage = this->name;
      return ::llvm::cast<::mlir::StringAttr>(propStorage);
    }
    void setName(const ::mlir::StringAttr &propValue) {
      this->name = propValue;
    }
    using typeTy = ::mlir::TypeAttr;
    typeTy type;

    auto getType() {
      auto &propStorage = this->type;
      return ::llvm::cast<::mlir::TypeAttr>(propStorage);
    }
    void setType(const ::mlir::TypeAttr &propValue) {
      this->type = propValue;
    }
    bool operator==(const Properties &rhs) const {
      return 
        rhs.initial_value == this->initial_value &&
        rhs.name == this->name &&
        rhs.type == this->type &&
        true;
    }
    bool operator!=(const Properties &rhs) const {
      return !(*this == rhs);
    }
  };
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  Properties properties;
  ::mlir::RegionRange odsRegions;
public:
  VariableOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.variable", odsAttrs.getContext());
  }

  VariableOpGenericAdaptorBase(VariableOp op);

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  const Properties &getProperties() {
    return properties;
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

  ::mlir::StringAttr getNameAttr() {
    auto attr = ::llvm::cast<::mlir::StringAttr>(getProperties().name);
    return attr;
  }

  ::llvm::StringRef getName();
  ::mlir::TypeAttr getTypeAttr() {
    auto attr = ::llvm::cast<::mlir::TypeAttr>(getProperties().type);
    return attr;
  }

  ::mlir::Type getType();
  ::mlir::Attribute getInitialValueAttr() {
    auto attr = ::llvm::dyn_cast_or_null<::mlir::Attribute>(getProperties().initial_value);
    return attr;
  }

  ::std::optional<::mlir::Attribute> getInitialValue();
};
} // namespace detail
template <typename RangeT>
class VariableOpGenericAdaptor : public detail::VariableOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::VariableOpGenericAdaptorBase;
public:
  VariableOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  VariableOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : VariableOpGenericAdaptor(values, attrs, (properties ? *properties.as<Properties *>() : Properties{}), regions) {}

  VariableOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = nullptr) : VariableOpGenericAdaptor(values, attrs, Properties{}, {}) {}

  VariableOpGenericAdaptor(RangeT values, const VariableOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = VariableOp, typename = std::enable_if_t<std::is_same_v<LateInst, VariableOp>>>
  VariableOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class VariableOpAdaptor : public VariableOpGenericAdaptor<::mlir::ValueRange> {
public:
  using VariableOpGenericAdaptor::VariableOpGenericAdaptor;
  VariableOpAdaptor(VariableOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class VariableOp : public ::mlir::Op<VariableOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::ZeroResults, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::ZeroOperands, ::mlir::OpTrait::OpInvariants, ::mlir::BytecodeOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = VariableOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = VariableOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    static ::llvm::StringRef attrNames[] = {::llvm::StringRef("initial_value"), ::llvm::StringRef("name"), ::llvm::StringRef("type")};
    return ::llvm::ArrayRef(attrNames);
  }

  ::mlir::StringAttr getInitialValueAttrName() {
    return getAttributeNameForIndex(0);
  }

  static ::mlir::StringAttr getInitialValueAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 0);
  }

  ::mlir::StringAttr getNameAttrName() {
    return getAttributeNameForIndex(1);
  }

  static ::mlir::StringAttr getNameAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 1);
  }

  ::mlir::StringAttr getTypeAttrName() {
    return getAttributeNameForIndex(2);
  }

  static ::mlir::StringAttr getTypeAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 2);
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.variable");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  static ::llvm::LogicalResult setPropertiesFromAttr(Properties &prop, ::mlir::Attribute attr, ::llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::mlir::Attribute getPropertiesAsAttr(::mlir::MLIRContext *ctx, const Properties &prop);
  static llvm::hash_code computePropertiesHash(const Properties &prop);
  static std::optional<mlir::Attribute> getInherentAttr(::mlir::MLIRContext *ctx, const Properties &prop, llvm::StringRef name);
  static void setInherentAttr(Properties &prop, llvm::StringRef name, mlir::Attribute value);
  static void populateInherentAttrs(::mlir::MLIRContext *ctx, const Properties &prop, ::mlir::NamedAttrList &attrs);
  static ::llvm::LogicalResult verifyInherentAttrs(::mlir::OperationName opName, ::mlir::NamedAttrList &attrs, llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::llvm::LogicalResult readProperties(::mlir::DialectBytecodeReader &reader, ::mlir::OperationState &state);
  void writeProperties(::mlir::DialectBytecodeWriter &writer);
  ::mlir::StringAttr getNameAttr() {
    return ::llvm::cast<::mlir::StringAttr>(getProperties().name);
  }

  ::llvm::StringRef getName();
  ::mlir::TypeAttr getTypeAttr() {
    return ::llvm::cast<::mlir::TypeAttr>(getProperties().type);
  }

  ::mlir::Type getType();
  ::mlir::Attribute getInitialValueAttr() {
    return ::llvm::dyn_cast_or_null<::mlir::Attribute>(getProperties().initial_value);
  }

  ::std::optional<::mlir::Attribute> getInitialValue();
  void setNameAttr(::mlir::StringAttr attr) {
    getProperties().name = attr;
  }

  void setName(::llvm::StringRef attrValue);
  void setTypeAttr(::mlir::TypeAttr attr) {
    getProperties().type = attr;
  }

  void setType(::mlir::Type attrValue);
  void setInitialValueAttr(::mlir::Attribute attr) {
    getProperties().initial_value = attr;
  }

  ::mlir::Attribute removeInitialValueAttr() {
      auto &attr = getProperties().initial_value;
      attr = {};
      return attr;
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::StringAttr name, ::mlir::TypeAttr type, /*optional*/::mlir::Attribute initial_value);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::StringAttr name, ::mlir::TypeAttr type, /*optional*/::mlir::Attribute initial_value);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::llvm::StringRef name, ::mlir::Type type, /*optional*/::mlir::Attribute initial_value);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::llvm::StringRef name, ::mlir::Type type, /*optional*/::mlir::Attribute initial_value);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
private:
  ::mlir::StringAttr getAttributeNameForIndex(unsigned index) {
    return getAttributeNameForIndex((*this)->getName(), index);
  }

  static ::mlir::StringAttr getAttributeNameForIndex(::mlir::OperationName name, unsigned index) {
    assert(index < 3 && "invalid attribute index");
    assert(name.getStringRef() == getOperationName() && "invalid operation name");
    assert(name.isRegistered() && "Operation isn't registered, missing a "
          "dependent dialect loading?");
    return name.getAttributeNames()[index];
  }

public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::VariableOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::VariableReadOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class VariableReadOpGenericAdaptorBase {
public:
  struct Properties {
    using nameTy = ::mlir::StringAttr;
    nameTy name;

    auto getName() {
      auto &propStorage = this->name;
      return ::llvm::cast<::mlir::StringAttr>(propStorage);
    }
    void setName(const ::mlir::StringAttr &propValue) {
      this->name = propValue;
    }
    bool operator==(const Properties &rhs) const {
      return 
        rhs.name == this->name &&
        true;
    }
    bool operator!=(const Properties &rhs) const {
      return !(*this == rhs);
    }
  };
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  Properties properties;
  ::mlir::RegionRange odsRegions;
public:
  VariableReadOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.variable.read", odsAttrs.getContext());
  }

  VariableReadOpGenericAdaptorBase(VariableReadOp op);

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  const Properties &getProperties() {
    return properties;
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

  ::mlir::StringAttr getNameAttr() {
    auto attr = ::llvm::cast<::mlir::StringAttr>(getProperties().name);
    return attr;
  }

  ::llvm::StringRef getName();
};
} // namespace detail
template <typename RangeT>
class VariableReadOpGenericAdaptor : public detail::VariableReadOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::VariableReadOpGenericAdaptorBase;
public:
  VariableReadOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  VariableReadOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : VariableReadOpGenericAdaptor(values, attrs, (properties ? *properties.as<Properties *>() : Properties{}), regions) {}

  VariableReadOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = nullptr) : VariableReadOpGenericAdaptor(values, attrs, Properties{}, {}) {}

  VariableReadOpGenericAdaptor(RangeT values, const VariableReadOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = VariableReadOp, typename = std::enable_if_t<std::is_same_v<LateInst, VariableReadOp>>>
  VariableReadOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class VariableReadOpAdaptor : public VariableReadOpGenericAdaptor<::mlir::ValueRange> {
public:
  using VariableReadOpGenericAdaptor::VariableReadOpGenericAdaptor;
  VariableReadOpAdaptor(VariableReadOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class VariableReadOp : public ::mlir::Op<VariableReadOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::Type>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::ZeroOperands, ::mlir::OpTrait::OpInvariants, ::mlir::BytecodeOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = VariableReadOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = VariableReadOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    static ::llvm::StringRef attrNames[] = {::llvm::StringRef("name")};
    return ::llvm::ArrayRef(attrNames);
  }

  ::mlir::StringAttr getNameAttrName() {
    return getAttributeNameForIndex(0);
  }

  static ::mlir::StringAttr getNameAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 0);
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.variable.read");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::Type> getValue() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::Type>>(*getODSResults(0).begin());
  }

  static ::llvm::LogicalResult setPropertiesFromAttr(Properties &prop, ::mlir::Attribute attr, ::llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::mlir::Attribute getPropertiesAsAttr(::mlir::MLIRContext *ctx, const Properties &prop);
  static llvm::hash_code computePropertiesHash(const Properties &prop);
  static std::optional<mlir::Attribute> getInherentAttr(::mlir::MLIRContext *ctx, const Properties &prop, llvm::StringRef name);
  static void setInherentAttr(Properties &prop, llvm::StringRef name, mlir::Attribute value);
  static void populateInherentAttrs(::mlir::MLIRContext *ctx, const Properties &prop, ::mlir::NamedAttrList &attrs);
  static ::llvm::LogicalResult verifyInherentAttrs(::mlir::OperationName opName, ::mlir::NamedAttrList &attrs, llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::llvm::LogicalResult readProperties(::mlir::DialectBytecodeReader &reader, ::mlir::OperationState &state);
  void writeProperties(::mlir::DialectBytecodeWriter &writer);
  ::mlir::StringAttr getNameAttr() {
    return ::llvm::cast<::mlir::StringAttr>(getProperties().name);
  }

  ::llvm::StringRef getName();
  void setNameAttr(::mlir::StringAttr attr) {
    getProperties().name = attr;
  }

  void setName(::llvm::StringRef attrValue);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type value, ::mlir::StringAttr name);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::StringAttr name);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type value, ::llvm::StringRef name);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::llvm::StringRef name);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
private:
  ::mlir::StringAttr getAttributeNameForIndex(unsigned index) {
    return getAttributeNameForIndex((*this)->getName(), index);
  }

  static ::mlir::StringAttr getAttributeNameForIndex(::mlir::OperationName name, unsigned index) {
    assert(index < 1 && "invalid attribute index");
    assert(name.getStringRef() == getOperationName() && "invalid operation name");
    assert(name.isRegistered() && "Operation isn't registered, missing a "
          "dependent dialect loading?");
    return name.getAttributeNames()[index];
  }

public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::VariableReadOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::VariableWriteOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class VariableWriteOpGenericAdaptorBase {
public:
  struct Properties {
    using nameTy = ::mlir::StringAttr;
    nameTy name;

    auto getName() {
      auto &propStorage = this->name;
      return ::llvm::cast<::mlir::StringAttr>(propStorage);
    }
    void setName(const ::mlir::StringAttr &propValue) {
      this->name = propValue;
    }
    bool operator==(const Properties &rhs) const {
      return 
        rhs.name == this->name &&
        true;
    }
    bool operator!=(const Properties &rhs) const {
      return !(*this == rhs);
    }
  };
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  Properties properties;
  ::mlir::RegionRange odsRegions;
public:
  VariableWriteOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.variable.write", odsAttrs.getContext());
  }

  VariableWriteOpGenericAdaptorBase(VariableWriteOp op);

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize) {
    return {index, 1};
  }

  const Properties &getProperties() {
    return properties;
  }

  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

  ::mlir::StringAttr getNameAttr() {
    auto attr = ::llvm::cast<::mlir::StringAttr>(getProperties().name);
    return attr;
  }

  ::llvm::StringRef getName();
};
} // namespace detail
template <typename RangeT>
class VariableWriteOpGenericAdaptor : public detail::VariableWriteOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::VariableWriteOpGenericAdaptorBase;
public:
  VariableWriteOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  VariableWriteOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : VariableWriteOpGenericAdaptor(values, attrs, (properties ? *properties.as<Properties *>() : Properties{}), regions) {}

  VariableWriteOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = nullptr) : VariableWriteOpGenericAdaptor(values, attrs, Properties{}, {}) {}

  VariableWriteOpGenericAdaptor(RangeT values, const VariableWriteOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = VariableWriteOp, typename = std::enable_if_t<std::is_same_v<LateInst, VariableWriteOp>>>
  VariableWriteOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  ValueT getValue() {
    return (*getODSOperands(0).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class VariableWriteOpAdaptor : public VariableWriteOpGenericAdaptor<::mlir::ValueRange> {
public:
  using VariableWriteOpGenericAdaptor::VariableWriteOpGenericAdaptor;
  VariableWriteOpAdaptor(VariableWriteOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class VariableWriteOp : public ::mlir::Op<VariableWriteOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::ZeroResults, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::OneOperand, ::mlir::OpTrait::OpInvariants, ::mlir::BytecodeOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = VariableWriteOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = VariableWriteOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    static ::llvm::StringRef attrNames[] = {::llvm::StringRef("name")};
    return ::llvm::ArrayRef(attrNames);
  }

  ::mlir::StringAttr getNameAttrName() {
    return getAttributeNameForIndex(0);
  }

  static ::mlir::StringAttr getNameAttrName(::mlir::OperationName name) {
    return getAttributeNameForIndex(name, 0);
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.variable.write");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::TypedValue<::mlir::Type> getValue() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::Type>>(*getODSOperands(0).begin());
  }

  ::mlir::OpOperand &getValueMutable() {
    auto range = getODSOperandIndexAndLength(0);
    return getOperation()->getOpOperand(range.first);
  }

  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  static ::llvm::LogicalResult setPropertiesFromAttr(Properties &prop, ::mlir::Attribute attr, ::llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::mlir::Attribute getPropertiesAsAttr(::mlir::MLIRContext *ctx, const Properties &prop);
  static llvm::hash_code computePropertiesHash(const Properties &prop);
  static std::optional<mlir::Attribute> getInherentAttr(::mlir::MLIRContext *ctx, const Properties &prop, llvm::StringRef name);
  static void setInherentAttr(Properties &prop, llvm::StringRef name, mlir::Attribute value);
  static void populateInherentAttrs(::mlir::MLIRContext *ctx, const Properties &prop, ::mlir::NamedAttrList &attrs);
  static ::llvm::LogicalResult verifyInherentAttrs(::mlir::OperationName opName, ::mlir::NamedAttrList &attrs, llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
  static ::llvm::LogicalResult readProperties(::mlir::DialectBytecodeReader &reader, ::mlir::OperationState &state);
  void writeProperties(::mlir::DialectBytecodeWriter &writer);
  ::mlir::StringAttr getNameAttr() {
    return ::llvm::cast<::mlir::StringAttr>(getProperties().name);
  }

  ::llvm::StringRef getName();
  void setNameAttr(::mlir::StringAttr attr) {
    getProperties().name = attr;
  }

  void setName(::llvm::StringRef attrValue);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::StringAttr name, ::mlir::Value value);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::StringAttr name, ::mlir::Value value);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::llvm::StringRef name, ::mlir::Value value);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::llvm::StringRef name, ::mlir::Value value);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
private:
  ::mlir::StringAttr getAttributeNameForIndex(unsigned index) {
    return getAttributeNameForIndex((*this)->getName(), index);
  }

  static ::mlir::StringAttr getAttributeNameForIndex(::mlir::OperationName name, unsigned index) {
    assert(index < 1 && "invalid attribute index");
    assert(name.getStringRef() == getOperationName() && "invalid operation name");
    assert(name.isRegistered() && "Operation isn't registered, missing a "
          "dependent dialect loading?");
    return name.getAttributeNames()[index];
  }

public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::VariableWriteOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::WhileOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class WhileOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  WhileOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.while_loop", odsAttrs.getContext());
  }

  WhileOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize);
  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

  ::mlir::Region &getCond() {
    return *odsRegions[0];
  }

  ::mlir::Region &getBody() {
    return *odsRegions[1];
  }

  ::mlir::RegionRange getRegions() {
    return odsRegions;
  }

};
} // namespace detail
template <typename RangeT>
class WhileOpGenericAdaptor : public detail::WhileOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::WhileOpGenericAdaptorBase;
public:
  WhileOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  WhileOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : WhileOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  WhileOpGenericAdaptor(RangeT values, const WhileOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = WhileOp, typename = std::enable_if_t<std::is_same_v<LateInst, WhileOp>>>
  WhileOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  RangeT getInputs() {
    return getODSOperands(0);
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class WhileOpAdaptor : public WhileOpGenericAdaptor<::mlir::ValueRange> {
public:
  using WhileOpGenericAdaptor::WhileOpGenericAdaptor;
  WhileOpAdaptor(WhileOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class WhileOp : public ::mlir::Op<WhileOp, ::mlir::OpTrait::NRegions<2>::Impl, ::mlir::OpTrait::VariadicResults, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::VariadicOperands, ::mlir::OpTrait::SingleBlock, ::mlir::OpTrait::SingleBlockImplicitTerminator<YieldOp>::Impl, ::mlir::OpTrait::OpInvariants, ::mlir::LoopLikeOpInterface::Trait, ::mlir::InferShapedTypeOpInterface::Trait, ::mlir::OpTrait::InferShapedTypeOpAdaptor, ::mlir::OpTrait::HasRecursiveMemoryEffects, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = WhileOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = WhileOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.while_loop");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index);
  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::Operation::operand_range getInputs() {
    return getODSOperands(0);
  }

  ::mlir::MutableOperandRange getInputsMutable();
  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index);
  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::Operation::result_range getOutput() {
    return getODSResults(0);
  }

  ::mlir::Region &getCond() {
    return (*this)->getRegion(0);
  }

  ::mlir::Region &getBody() {
    return (*this)->getRegion(1);
  }

  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &p);
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  ::llvm::SmallVector<::mlir::Region *> getLoopRegions();
  static ::llvm::LogicalResult inferReturnTypeComponents(::mlir::MLIRContext*context, ::std::optional<::mlir::Location> location, ::mlir::ValueShapeRange operands, ::mlir::DictionaryAttr attributes, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions, ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents>&inferredReturnShapes);
public:
  static ::llvm::LogicalResult
  inferReturnTypeComponents(::mlir::MLIRContext *context,
                          std::optional<::mlir::Location> location,
                          Adaptor adaptor,
                          ::llvm::SmallVectorImpl<::mlir::ShapedTypeComponents> &inferredReturnShapes);

};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::WhileOp)

namespace mlir {
namespace tosa {

//===----------------------------------------------------------------------===//
// mlir::tosa::YieldOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class YieldOpGenericAdaptorBase {
public:
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  ::mlir::RegionRange odsRegions;
public:
  YieldOpGenericAdaptorBase(::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("tosa.yield", odsAttrs.getContext());
  }

  YieldOpGenericAdaptorBase(::mlir::Operation *op) : odsAttrs(op->getRawDictionaryAttrs()), odsOpName(op->getName()), odsRegions(op->getRegions()) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index, unsigned odsOperandsSize);
  ::mlir::DictionaryAttr getAttributes() {
    return odsAttrs;
  }

};
} // namespace detail
template <typename RangeT>
class YieldOpGenericAdaptor : public detail::YieldOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::YieldOpGenericAdaptorBase;
public:
  YieldOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = {}, const ::mlir::EmptyProperties &properties = {}, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

  YieldOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::OpaqueProperties properties, ::mlir::RegionRange regions = {}) : YieldOpGenericAdaptor(values, attrs, (properties ? *properties.as<::mlir::EmptyProperties *>() : ::mlir::EmptyProperties{}), regions) {}

  YieldOpGenericAdaptor(RangeT values, const YieldOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = YieldOp, typename = std::enable_if_t<std::is_same_v<LateInst, YieldOp>>>
  YieldOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
    return Base::getODSOperandIndexAndLength(index, odsOperands.size());
  }

  RangeT getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(odsOperands.begin(), valueRange.first),
             std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
  }

  RangeT getInputs() {
    return getODSOperands(0);
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class YieldOpAdaptor : public YieldOpGenericAdaptor<::mlir::ValueRange> {
public:
  using YieldOpGenericAdaptor::YieldOpGenericAdaptor;
  YieldOpAdaptor(YieldOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class YieldOp : public ::mlir::Op<YieldOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::ZeroResults, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::VariadicOperands, ::mlir::OpTrait::OpInvariants, ::mlir::OpTrait::IsTerminator, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait, TosaOp::Trait, mlir::OpTrait::tosa::TosaResolvableShapeOperands> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = YieldOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = YieldOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("tosa.yield");
  }

  std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index);
  ::mlir::Operation::operand_range getODSOperands(unsigned index) {
    auto valueRange = getODSOperandIndexAndLength(index);
    return {std::next(getOperation()->operand_begin(), valueRange.first),
             std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
  }

  ::mlir::Operation::operand_range getInputs() {
    return getODSOperands(0);
  }

  ::mlir::MutableOperandRange getInputsMutable();
  std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
    return {index, 1};
  }

  ::mlir::Operation::result_range getODSResults(unsigned index) {
    auto valueRange = getODSResultIndexAndLength(index);
    return {std::next(getOperation()->result_begin(), valueRange.first),
             std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::ValueRange inputs);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
  void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
};
} // namespace tosa
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(mlir::tosa::YieldOp)


#endif  // GET_OP_CLASSES

