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

namespace mlir {
namespace transform {
/// Collects patterns that are tryin to promote `gpu.shuffle`s to specialized
///     AMDGPU intrinsics.
class ApplyGPUPromoteShuffleToAMDGPUPatternsOp;
} // namespace transform
} // namespace mlir
namespace mlir {
namespace transform {
/// Collects GPU rewrite patterns comprising:
///       1. GpuAllReduceRewrite patterns
///       2. GpuGlobalIdRewriter patterns
///       3. GpuShuffleRewriter patterns
class ApplyGPURewritePatternsOp;
} // namespace transform
} // namespace mlir
namespace mlir {
namespace transform {
/// Collects patterns that convert GPU dialect ops related to wmma ops
///     to NVVM dialect ops.
///     These patterns require an "LLVMTypeConverter".
class ApplyGPUSubgroupReduceToNVVMConversionPatternsOp;
} // namespace transform
} // namespace mlir
namespace mlir {
namespace transform {
/// Collects patterns that convert GPU dialect ops to NVVM dialect ops. These
///     patterns require an "LLVMTypeConverter".
class ApplyGPUToNVVMConversionPatternsOp;
} // namespace transform
} // namespace mlir
namespace mlir {
namespace transform {
/// Collects patterns that convert GPU dialect ops to ROCDL dialect ops. These
///     patterns require an "LLVMTypeConverter".
class ApplyGPUToROCDLConversionPatternsOp;
} // namespace transform
} // namespace mlir
namespace mlir {
namespace transform {
/// Collects patterns that convert GPU dialect ops related to wmma ops
///     to NVVM dialect ops.
///     These patterns require an "LLVMTypeConverter".
class ApplyGPUWwmaToNVVMConversionPatternsOp;
} // namespace transform
} // namespace mlir
namespace mlir {
namespace transform {
/// Unrolls contractions to the target `m`, `n`, and `k` native vector size,
///     along with other vector operations based on expected usage. `transfer_read`
///     ops unroll based on the extract slice shape introduced by unrolling the
///     contractions, while elementwise and `transfer_write` ops unroll to the shape of
///     the C matrix (`m x n`).
/// 
///     This operation applies to pure vector operations and should be applied before
///     lowering to subgroup_mma ops.
class ApplyUnrollVectorsSubgroupMmaOp;
} // namespace transform
} // namespace mlir
namespace mlir {
namespace transform {
/// Removes unnecessary GPU barriers from the function. If a barrier does not
///     enforce any conflicting pair of memory effects, including a pair that is
///     enforced by another barrier, it is unnecessary and can be removed.
/// 
///     The approach is based on "High-Performance GPU-to-CPU Transpilation and
///     Optimization via High-Level Parallel Constructs" by  Moses, Ivanov,
///     Domke, Endo, Doerfert, and Zinenko in PPoPP 2023. Specifically, it
///     analyzes the memory effects of the operations before and after the given
///     barrier and checks if the barrier enforces any of the memory
///     effect-induced dependencies that aren't already enforced by another
///     barrier.
/// 
///     For example, in the following code
/// 
///     ```mlir
///       store %A
///       barrier  // enforces load-after-store
///       load %A
///       barrier  // load-after-store already enforced by the previous barrier
///       load %A
///     ```
/// 
///     the second barrier can be removed.
class EliminateBarriersOp;
} // namespace transform
} // namespace mlir
namespace mlir {
namespace transform {
/// Target the gpu_launch op and rewrite the top level `scf.forall`
///     to distributed gpu.block_id attribute. If `generate_gpu_launch` attribute
///     is set, then first generates `gpu_launch` and moves the top level
///     `scf.forall` inside.
/// 
///     The operation searches top level `scf.forall` ops under
///     `gpu_launch` and maps each such op to GPU blocks. Mapping is
///     one-to-one and the induction variables of `scf.forall` are
///     rewritten to gpu.block_id according to the `thread_dim_mapping` attribute.
/// 
///     Dynamic, `scf.forall` trip counts are currently not supported.
///     Dynamic block dim sizes are currently not supported.
/// 
///     Only **bufferized** scf.forall are currently supported.
///     Only scf.forall distributed to **at most 3 dimensions** are
///     currently supported.
/// 
///     The operation alters the block size of the given gpu_launch using the
///     grid_dims argument.
/// 
///     #### Return modes:
/// 
///     This operation ignores non-gpu_launch ops and drops them in the return.
/// 
///     If any scf.forall with tensors is found, the transform definitely
///     fails.
/// 
///     If all the `scf.forall` operations contained within the LaunchOp
///     referred to by the `target` handle lower to GPU properly, the
///     transform succeeds. Otherwise the transform definitely fails.
/// 
///     The returned handle points to the same LaunchOp operand, consuming it and
///     producing a new SSA value to satisfy chaining and linearity of the IR
///     properties.
class MapForallToBlocks;
} // namespace transform
} // namespace mlir
namespace mlir {
namespace transform {
/// Target the `gpu.launch op` and rewrite all `scf.forall` nested in it to
///       distributed `gpu.thread_id` attribute.
/// 
///       The operation searches for `scf.forall` ops nested under `target` and maps
///       each such op to GPU threads.
/// 
///       `scf.forall` induction variables are rewritten to `gpu.thread_id` according
///       to the `mapping` attribute.
/// 
///       Different types of mappings attributes are supported:
///         - the block_dims is a list of integers that specifies the number of
///           threads in each dimension. This is a mandatory attribute that is used
///           to constrain the number of threads in each dimension. If an
///           `scf.forall` op is mapped to fewer threads, predication occurs.
///         - the warp_dims is a list of integers that specifies the number of
///           warps in each dimension. This is an optional attribute that is used
///           to constrain the number of warps in each dimension. When present, this
///           attribute must be specified in a way that is compatible with the
///           block_dims attribute. If an `scf.forall` op is mapped to fewer warps,
///           predication occurs.
/// 
///       Dynamic `scf.forall` trip counts are currently not supported.
///       Dynamic block dim sizes are currently not supported.
/// 
///       Only **bufferized** `scf.forall` are currently supported.
///       Only `scf.forall` distributed to **at most 3 dimensions** are
///       currently supported.
/// 
///       The `sync_after_distribute`attribute controls whether a `gpu.barrier` is
///       inserted after each scf.forall op. At this time, this is an all or nothing
///       choice. This will need to be tightened in the future.
/// 
///       The operation alters the block size of the given gpu_launch using the
///       mandatory block_dims argument.
/// 
///       #### Return modes:
/// 
///       This operation ignores non-`gpu_launch` ops and drops them in the return.
/// 
///       If any scf.forall with tensors is found, the transform definitely
///       fails.
/// 
///       If all the `scf.forall` operations with gpu.thread mapping contained
///       within the `LaunchOp` referred to by the `target` handle lower to GPU
///       properly, the transform succeeds. Otherwise the transform definitely
///       fails.
/// 
///       scf.forall operations with mappings other than gpu.thread are
///       ignored.
/// 
///       The returned handle points to the same LaunchOp operand, consuming it and
///       producing a new SSA value to satisfy chaining and linearity of the IR
///       properties.
/// 
///       #### Example:
/// 
///       ```
///       gpu.launch blocks(%bx, %by, %bz) in (%x = %0, %y = %1, %z = %2)
///                  threads(%tx, %ty, %tz) in (%tx = %3, %ty = %4, %tz = %5) {
///         scf.forall (%i, %j) in (7, 9) {
///           ... // body 1
///         } {mapping = [#gpu.thread<x>, #gpu.thread<y>, #gpu.thread<z>]}
///         scf.forall (%i) in (12) {
///           ... // body 2
///         } {mapping = [#gpu.thread<x>]}
///         gpu.terminator
///       }
///       ```
/// 
///       is translated to:
/// 
///       ```
///       %bdimX = arith.constant 12 : index
///       %bdimY = arith.constant 9 : index
///       gpu.launch blocks(%bx, %by, %bz) in (%x = %0, %y = %1, %z = %2)
///              threads(%tx, %ty, %tz) in (%tx = %bdimX, %ty = %bdimY, %tz = %5) {
///         if (threadIdx.x < 9 && threadIdx.y < 7) {
///           ... // body 1
///         }
///         gpu.barrier
///         if (threadIdx.y < 1) {
///           ... // body 2
///         }
///         gpu.barrier
///         gpu.terminator
///       }
///       ```
class MapNestedForallToThreads;
} // namespace transform
} // namespace mlir
#ifdef GET_OP_CLASSES
#undef GET_OP_CLASSES

namespace mlir {
namespace transform {

//===----------------------------------------------------------------------===//
// ::mlir::transform::ApplyGPUPromoteShuffleToAMDGPUPatternsOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class ApplyGPUPromoteShuffleToAMDGPUPatternsOpGenericAdaptorBase {
public:
  using Properties = ::mlir::EmptyProperties;
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  Properties properties;
  ::mlir::RegionRange odsRegions;
public:
  ApplyGPUPromoteShuffleToAMDGPUPatternsOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("transform.apply_patterns.gpu.gpu_shuffle_to_amdgpu", odsAttrs.getContext());
  }

  ApplyGPUPromoteShuffleToAMDGPUPatternsOpGenericAdaptorBase(ApplyGPUPromoteShuffleToAMDGPUPatternsOp op);

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

  const Properties &getProperties() {
    return properties;
  }

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

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

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

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

  ApplyGPUPromoteShuffleToAMDGPUPatternsOpGenericAdaptor(RangeT values, const ApplyGPUPromoteShuffleToAMDGPUPatternsOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = ApplyGPUPromoteShuffleToAMDGPUPatternsOp, typename = std::enable_if_t<std::is_same_v<LateInst, ApplyGPUPromoteShuffleToAMDGPUPatternsOp>>>
  ApplyGPUPromoteShuffleToAMDGPUPatternsOpGenericAdaptor(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 ApplyGPUPromoteShuffleToAMDGPUPatternsOpAdaptor : public ApplyGPUPromoteShuffleToAMDGPUPatternsOpGenericAdaptor<::mlir::ValueRange> {
public:
  using ApplyGPUPromoteShuffleToAMDGPUPatternsOpGenericAdaptor::ApplyGPUPromoteShuffleToAMDGPUPatternsOpGenericAdaptor;
  ApplyGPUPromoteShuffleToAMDGPUPatternsOpAdaptor(ApplyGPUPromoteShuffleToAMDGPUPatternsOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class ApplyGPUPromoteShuffleToAMDGPUPatternsOp : public ::mlir::Op<ApplyGPUPromoteShuffleToAMDGPUPatternsOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::ZeroResults, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::ZeroOperands, ::mlir::OpTrait::OpInvariants, ::mlir::transform::PatternDescriptorOpInterface::Trait> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = ApplyGPUPromoteShuffleToAMDGPUPatternsOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = ApplyGPUPromoteShuffleToAMDGPUPatternsOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("transform.apply_patterns.gpu.gpu_shuffle_to_amdgpu");
  }

  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 void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState);
  static ApplyGPUPromoteShuffleToAMDGPUPatternsOp create(::mlir::OpBuilder &builder, ::mlir::Location location);
  static ApplyGPUPromoteShuffleToAMDGPUPatternsOp create(::mlir::ImplicitLocOpBuilder &builder);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes);
  static ApplyGPUPromoteShuffleToAMDGPUPatternsOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes);
  static ApplyGPUPromoteShuffleToAMDGPUPatternsOp create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::TypeRange resultTypes);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static ApplyGPUPromoteShuffleToAMDGPUPatternsOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static ApplyGPUPromoteShuffleToAMDGPUPatternsOp create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, const Properties &properties, ::llvm::ArrayRef<::mlir::NamedAttribute> discardableAttributes = {});
  static ApplyGPUPromoteShuffleToAMDGPUPatternsOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, const Properties &properties, ::llvm::ArrayRef<::mlir::NamedAttribute> discardableAttributes = {});
  static ApplyGPUPromoteShuffleToAMDGPUPatternsOp create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, const Properties &properties, ::llvm::ArrayRef<::mlir::NamedAttribute> discardableAttributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  void populatePatterns(::mlir::RewritePatternSet &patterns);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
public:
};
} // namespace transform
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(::mlir::transform::ApplyGPUPromoteShuffleToAMDGPUPatternsOp)

namespace mlir {
namespace transform {

//===----------------------------------------------------------------------===//
// ::mlir::transform::ApplyGPURewritePatternsOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class ApplyGPURewritePatternsOpGenericAdaptorBase {
public:
  using Properties = ::mlir::EmptyProperties;
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  Properties properties;
  ::mlir::RegionRange odsRegions;
public:
  ApplyGPURewritePatternsOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("transform.apply_patterns.gpu.gpu_rewrite_patterns", odsAttrs.getContext());
  }

  ApplyGPURewritePatternsOpGenericAdaptorBase(ApplyGPURewritePatternsOp op);

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

  const Properties &getProperties() {
    return properties;
  }

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

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

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

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

  ApplyGPURewritePatternsOpGenericAdaptor(RangeT values, const ApplyGPURewritePatternsOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = ApplyGPURewritePatternsOp, typename = std::enable_if_t<std::is_same_v<LateInst, ApplyGPURewritePatternsOp>>>
  ApplyGPURewritePatternsOpGenericAdaptor(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 ApplyGPURewritePatternsOpAdaptor : public ApplyGPURewritePatternsOpGenericAdaptor<::mlir::ValueRange> {
public:
  using ApplyGPURewritePatternsOpGenericAdaptor::ApplyGPURewritePatternsOpGenericAdaptor;
  ApplyGPURewritePatternsOpAdaptor(ApplyGPURewritePatternsOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class ApplyGPURewritePatternsOp : public ::mlir::Op<ApplyGPURewritePatternsOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::ZeroResults, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::ZeroOperands, ::mlir::OpTrait::OpInvariants, ::mlir::transform::PatternDescriptorOpInterface::Trait> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = ApplyGPURewritePatternsOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = ApplyGPURewritePatternsOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("transform.apply_patterns.gpu.gpu_rewrite_patterns");
  }

  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 void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState);
  static ApplyGPURewritePatternsOp create(::mlir::OpBuilder &builder, ::mlir::Location location);
  static ApplyGPURewritePatternsOp create(::mlir::ImplicitLocOpBuilder &builder);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes);
  static ApplyGPURewritePatternsOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes);
  static ApplyGPURewritePatternsOp create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::TypeRange resultTypes);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static ApplyGPURewritePatternsOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static ApplyGPURewritePatternsOp create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, const Properties &properties, ::llvm::ArrayRef<::mlir::NamedAttribute> discardableAttributes = {});
  static ApplyGPURewritePatternsOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, const Properties &properties, ::llvm::ArrayRef<::mlir::NamedAttribute> discardableAttributes = {});
  static ApplyGPURewritePatternsOp create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, const Properties &properties, ::llvm::ArrayRef<::mlir::NamedAttribute> discardableAttributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  void populatePatterns(::mlir::RewritePatternSet &patterns);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
public:
};
} // namespace transform
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(::mlir::transform::ApplyGPURewritePatternsOp)

namespace mlir {
namespace transform {

//===----------------------------------------------------------------------===//
// ::mlir::transform::ApplyGPUSubgroupReduceToNVVMConversionPatternsOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class ApplyGPUSubgroupReduceToNVVMConversionPatternsOpGenericAdaptorBase {
public:
  using Properties = ::mlir::EmptyProperties;
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  Properties properties;
  ::mlir::RegionRange odsRegions;
public:
  ApplyGPUSubgroupReduceToNVVMConversionPatternsOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("transform.apply_conversion_patterns.gpu.gpu_subgroup_reduce_to_nvvm", odsAttrs.getContext());
  }

  ApplyGPUSubgroupReduceToNVVMConversionPatternsOpGenericAdaptorBase(ApplyGPUSubgroupReduceToNVVMConversionPatternsOp op);

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

  const Properties &getProperties() {
    return properties;
  }

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

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

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

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

  ApplyGPUSubgroupReduceToNVVMConversionPatternsOpGenericAdaptor(RangeT values, const ApplyGPUSubgroupReduceToNVVMConversionPatternsOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = ApplyGPUSubgroupReduceToNVVMConversionPatternsOp, typename = std::enable_if_t<std::is_same_v<LateInst, ApplyGPUSubgroupReduceToNVVMConversionPatternsOp>>>
  ApplyGPUSubgroupReduceToNVVMConversionPatternsOpGenericAdaptor(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 ApplyGPUSubgroupReduceToNVVMConversionPatternsOpAdaptor : public ApplyGPUSubgroupReduceToNVVMConversionPatternsOpGenericAdaptor<::mlir::ValueRange> {
public:
  using ApplyGPUSubgroupReduceToNVVMConversionPatternsOpGenericAdaptor::ApplyGPUSubgroupReduceToNVVMConversionPatternsOpGenericAdaptor;
  ApplyGPUSubgroupReduceToNVVMConversionPatternsOpAdaptor(ApplyGPUSubgroupReduceToNVVMConversionPatternsOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class ApplyGPUSubgroupReduceToNVVMConversionPatternsOp : public ::mlir::Op<ApplyGPUSubgroupReduceToNVVMConversionPatternsOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::ZeroResults, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::ZeroOperands, ::mlir::OpTrait::OpInvariants, ::mlir::transform::ConversionPatternDescriptorOpInterface::Trait> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = ApplyGPUSubgroupReduceToNVVMConversionPatternsOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = ApplyGPUSubgroupReduceToNVVMConversionPatternsOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("transform.apply_conversion_patterns.gpu.gpu_subgroup_reduce_to_nvvm");
  }

  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 void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState);
  static ApplyGPUSubgroupReduceToNVVMConversionPatternsOp create(::mlir::OpBuilder &builder, ::mlir::Location location);
  static ApplyGPUSubgroupReduceToNVVMConversionPatternsOp create(::mlir::ImplicitLocOpBuilder &builder);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes);
  static ApplyGPUSubgroupReduceToNVVMConversionPatternsOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes);
  static ApplyGPUSubgroupReduceToNVVMConversionPatternsOp create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::TypeRange resultTypes);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static ApplyGPUSubgroupReduceToNVVMConversionPatternsOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static ApplyGPUSubgroupReduceToNVVMConversionPatternsOp create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, const Properties &properties, ::llvm::ArrayRef<::mlir::NamedAttribute> discardableAttributes = {});
  static ApplyGPUSubgroupReduceToNVVMConversionPatternsOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, const Properties &properties, ::llvm::ArrayRef<::mlir::NamedAttribute> discardableAttributes = {});
  static ApplyGPUSubgroupReduceToNVVMConversionPatternsOp create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, const Properties &properties, ::llvm::ArrayRef<::mlir::NamedAttribute> discardableAttributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  void populatePatterns(::mlir::TypeConverter &typeConverter, ::mlir::RewritePatternSet &patterns);
  ::llvm::LogicalResult verifyTypeConverter(TypeConverterBuilderOpInterface builder);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
public:
};
} // namespace transform
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(::mlir::transform::ApplyGPUSubgroupReduceToNVVMConversionPatternsOp)

namespace mlir {
namespace transform {

//===----------------------------------------------------------------------===//
// ::mlir::transform::ApplyGPUToNVVMConversionPatternsOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class ApplyGPUToNVVMConversionPatternsOpGenericAdaptorBase {
public:
  struct Properties {
    using benefitTy = ::mlir::IntegerAttr;
    benefitTy benefit;

    auto getBenefit() const {
      auto &propStorage = this->benefit;
      return ::llvm::dyn_cast_or_null<::mlir::IntegerAttr>(propStorage);
    }
    void setBenefit(const ::mlir::IntegerAttr &propValue) {
      this->benefit = propValue;
    }
    bool operator==(const Properties &rhs) const {
      return 
        rhs.benefit == this->benefit &&
        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:
  ApplyGPUToNVVMConversionPatternsOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("transform.apply_conversion_patterns.gpu.gpu_to_nvvm", odsAttrs.getContext());
  }

  ApplyGPUToNVVMConversionPatternsOpGenericAdaptorBase(ApplyGPUToNVVMConversionPatternsOp 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 getBenefitAttr();
  uint16_t getBenefit();
};
} // namespace detail
template <typename RangeT>
class ApplyGPUToNVVMConversionPatternsOpGenericAdaptor : public detail::ApplyGPUToNVVMConversionPatternsOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::ApplyGPUToNVVMConversionPatternsOpGenericAdaptorBase;
public:
  ApplyGPUToNVVMConversionPatternsOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

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

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

  ApplyGPUToNVVMConversionPatternsOpGenericAdaptor(RangeT values, const ApplyGPUToNVVMConversionPatternsOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = ApplyGPUToNVVMConversionPatternsOp, typename = std::enable_if_t<std::is_same_v<LateInst, ApplyGPUToNVVMConversionPatternsOp>>>
  ApplyGPUToNVVMConversionPatternsOpGenericAdaptor(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 ApplyGPUToNVVMConversionPatternsOpAdaptor : public ApplyGPUToNVVMConversionPatternsOpGenericAdaptor<::mlir::ValueRange> {
public:
  using ApplyGPUToNVVMConversionPatternsOpGenericAdaptor::ApplyGPUToNVVMConversionPatternsOpGenericAdaptor;
  ApplyGPUToNVVMConversionPatternsOpAdaptor(ApplyGPUToNVVMConversionPatternsOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class ApplyGPUToNVVMConversionPatternsOp : public ::mlir::Op<ApplyGPUToNVVMConversionPatternsOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::ZeroResults, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::ZeroOperands, ::mlir::OpTrait::OpInvariants, ::mlir::BytecodeOpInterface::Trait, ::mlir::transform::ConversionPatternDescriptorOpInterface::Trait> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = ApplyGPUToNVVMConversionPatternsOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = ApplyGPUToNVVMConversionPatternsOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    static ::llvm::StringRef attrNames[] = {::llvm::StringRef("benefit")};
    return ::llvm::ArrayRef(attrNames);
  }

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

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

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("transform.apply_conversion_patterns.gpu.gpu_to_nvvm");
  }

  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::IntegerAttr getBenefitAttr() {
    return ::llvm::dyn_cast_or_null<::mlir::IntegerAttr>(getProperties().benefit);
  }

  uint16_t getBenefit();
  void setBenefitAttr(::mlir::IntegerAttr attr) {
    getProperties().benefit = attr;
  }

  void setBenefit(uint16_t attrValue);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::IntegerAttr benefit);
  static ApplyGPUToNVVMConversionPatternsOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::IntegerAttr benefit);
  static ApplyGPUToNVVMConversionPatternsOp create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::IntegerAttr benefit);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::IntegerAttr benefit);
  static ApplyGPUToNVVMConversionPatternsOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes, ::mlir::IntegerAttr benefit);
  static ApplyGPUToNVVMConversionPatternsOp create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::TypeRange resultTypes, ::mlir::IntegerAttr benefit);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, uint16_t benefit = 1);
  static ApplyGPUToNVVMConversionPatternsOp create(::mlir::OpBuilder &builder, ::mlir::Location location, uint16_t benefit = 1);
  static ApplyGPUToNVVMConversionPatternsOp create(::mlir::ImplicitLocOpBuilder &builder, uint16_t benefit = 1);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, uint16_t benefit = 1);
  static ApplyGPUToNVVMConversionPatternsOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes, uint16_t benefit = 1);
  static ApplyGPUToNVVMConversionPatternsOp create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::TypeRange resultTypes, uint16_t benefit = 1);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static ApplyGPUToNVVMConversionPatternsOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static ApplyGPUToNVVMConversionPatternsOp create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, const Properties &properties, ::llvm::ArrayRef<::mlir::NamedAttribute> discardableAttributes = {});
  static ApplyGPUToNVVMConversionPatternsOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, const Properties &properties, ::llvm::ArrayRef<::mlir::NamedAttribute> discardableAttributes = {});
  static ApplyGPUToNVVMConversionPatternsOp create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, const Properties &properties, ::llvm::ArrayRef<::mlir::NamedAttribute> discardableAttributes = {});
  static void populateDefaultProperties(::mlir::OperationName opName, Properties &properties);
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  void populatePatterns(::mlir::TypeConverter &typeConverter, ::mlir::RewritePatternSet &patterns);
  ::llvm::LogicalResult verifyTypeConverter(TypeConverterBuilderOpInterface builder);
  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 transform
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(::mlir::transform::ApplyGPUToNVVMConversionPatternsOp)

namespace mlir {
namespace transform {

//===----------------------------------------------------------------------===//
// ::mlir::transform::ApplyGPUToROCDLConversionPatternsOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class ApplyGPUToROCDLConversionPatternsOpGenericAdaptorBase {
public:
  struct Properties {
    using chipsetTy = ::mlir::StringAttr;
    chipsetTy chipset;

    auto getChipset() const {
      auto &propStorage = this->chipset;
      return ::llvm::cast<::mlir::StringAttr>(propStorage);
    }
    void setChipset(const ::mlir::StringAttr &propValue) {
      this->chipset = propValue;
    }
    bool operator==(const Properties &rhs) const {
      return 
        rhs.chipset == this->chipset &&
        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:
  ApplyGPUToROCDLConversionPatternsOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("transform.apply_conversion_patterns.gpu.gpu_to_rocdl", odsAttrs.getContext());
  }

  ApplyGPUToROCDLConversionPatternsOpGenericAdaptorBase(ApplyGPUToROCDLConversionPatternsOp 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 getChipsetAttr() {
    auto attr = ::llvm::cast<::mlir::StringAttr>(getProperties().chipset);
    return attr;
  }

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

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

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

  ApplyGPUToROCDLConversionPatternsOpGenericAdaptor(RangeT values, const ApplyGPUToROCDLConversionPatternsOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = ApplyGPUToROCDLConversionPatternsOp, typename = std::enable_if_t<std::is_same_v<LateInst, ApplyGPUToROCDLConversionPatternsOp>>>
  ApplyGPUToROCDLConversionPatternsOpGenericAdaptor(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 ApplyGPUToROCDLConversionPatternsOpAdaptor : public ApplyGPUToROCDLConversionPatternsOpGenericAdaptor<::mlir::ValueRange> {
public:
  using ApplyGPUToROCDLConversionPatternsOpGenericAdaptor::ApplyGPUToROCDLConversionPatternsOpGenericAdaptor;
  ApplyGPUToROCDLConversionPatternsOpAdaptor(ApplyGPUToROCDLConversionPatternsOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class ApplyGPUToROCDLConversionPatternsOp : public ::mlir::Op<ApplyGPUToROCDLConversionPatternsOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::ZeroResults, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::ZeroOperands, ::mlir::OpTrait::OpInvariants, ::mlir::BytecodeOpInterface::Trait, ::mlir::transform::ConversionPatternDescriptorOpInterface::Trait> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = ApplyGPUToROCDLConversionPatternsOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = ApplyGPUToROCDLConversionPatternsOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    static ::llvm::StringRef attrNames[] = {::llvm::StringRef("chipset")};
    return ::llvm::ArrayRef(attrNames);
  }

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

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

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("transform.apply_conversion_patterns.gpu.gpu_to_rocdl");
  }

  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 getChipsetAttr() {
    return ::llvm::cast<::mlir::StringAttr>(getProperties().chipset);
  }

  ::llvm::StringRef getChipset();
  void setChipsetAttr(::mlir::StringAttr attr) {
    getProperties().chipset = attr;
  }

  void setChipset(::llvm::StringRef attrValue);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::StringAttr chipset);
  static ApplyGPUToROCDLConversionPatternsOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::StringAttr chipset);
  static ApplyGPUToROCDLConversionPatternsOp create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::StringAttr chipset);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::StringAttr chipset);
  static ApplyGPUToROCDLConversionPatternsOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes, ::mlir::StringAttr chipset);
  static ApplyGPUToROCDLConversionPatternsOp create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::TypeRange resultTypes, ::mlir::StringAttr chipset);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::llvm::StringRef chipset);
  static ApplyGPUToROCDLConversionPatternsOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::llvm::StringRef chipset);
  static ApplyGPUToROCDLConversionPatternsOp create(::mlir::ImplicitLocOpBuilder &builder, ::llvm::StringRef chipset);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::llvm::StringRef chipset);
  static ApplyGPUToROCDLConversionPatternsOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes, ::llvm::StringRef chipset);
  static ApplyGPUToROCDLConversionPatternsOp create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::TypeRange resultTypes, ::llvm::StringRef chipset);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static ApplyGPUToROCDLConversionPatternsOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static ApplyGPUToROCDLConversionPatternsOp create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, const Properties &properties, ::llvm::ArrayRef<::mlir::NamedAttribute> discardableAttributes = {});
  static ApplyGPUToROCDLConversionPatternsOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, const Properties &properties, ::llvm::ArrayRef<::mlir::NamedAttribute> discardableAttributes = {});
  static ApplyGPUToROCDLConversionPatternsOp create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, const Properties &properties, ::llvm::ArrayRef<::mlir::NamedAttribute> discardableAttributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  void populatePatterns(::mlir::TypeConverter &typeConverter, ::mlir::RewritePatternSet &patterns);
  ::llvm::LogicalResult verifyTypeConverter(TypeConverterBuilderOpInterface builder);
  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 transform
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(::mlir::transform::ApplyGPUToROCDLConversionPatternsOp)

namespace mlir {
namespace transform {

//===----------------------------------------------------------------------===//
// ::mlir::transform::ApplyGPUWwmaToNVVMConversionPatternsOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class ApplyGPUWwmaToNVVMConversionPatternsOpGenericAdaptorBase {
public:
  using Properties = ::mlir::EmptyProperties;
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  Properties properties;
  ::mlir::RegionRange odsRegions;
public:
  ApplyGPUWwmaToNVVMConversionPatternsOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("transform.apply_conversion_patterns.gpu.gpu_wmma_to_nvvm", odsAttrs.getContext());
  }

  ApplyGPUWwmaToNVVMConversionPatternsOpGenericAdaptorBase(ApplyGPUWwmaToNVVMConversionPatternsOp op);

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

  const Properties &getProperties() {
    return properties;
  }

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

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

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

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

  ApplyGPUWwmaToNVVMConversionPatternsOpGenericAdaptor(RangeT values, const ApplyGPUWwmaToNVVMConversionPatternsOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = ApplyGPUWwmaToNVVMConversionPatternsOp, typename = std::enable_if_t<std::is_same_v<LateInst, ApplyGPUWwmaToNVVMConversionPatternsOp>>>
  ApplyGPUWwmaToNVVMConversionPatternsOpGenericAdaptor(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 ApplyGPUWwmaToNVVMConversionPatternsOpAdaptor : public ApplyGPUWwmaToNVVMConversionPatternsOpGenericAdaptor<::mlir::ValueRange> {
public:
  using ApplyGPUWwmaToNVVMConversionPatternsOpGenericAdaptor::ApplyGPUWwmaToNVVMConversionPatternsOpGenericAdaptor;
  ApplyGPUWwmaToNVVMConversionPatternsOpAdaptor(ApplyGPUWwmaToNVVMConversionPatternsOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class ApplyGPUWwmaToNVVMConversionPatternsOp : public ::mlir::Op<ApplyGPUWwmaToNVVMConversionPatternsOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::ZeroResults, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::ZeroOperands, ::mlir::OpTrait::OpInvariants, ::mlir::transform::ConversionPatternDescriptorOpInterface::Trait> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = ApplyGPUWwmaToNVVMConversionPatternsOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = ApplyGPUWwmaToNVVMConversionPatternsOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("transform.apply_conversion_patterns.gpu.gpu_wmma_to_nvvm");
  }

  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 void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState);
  static ApplyGPUWwmaToNVVMConversionPatternsOp create(::mlir::OpBuilder &builder, ::mlir::Location location);
  static ApplyGPUWwmaToNVVMConversionPatternsOp create(::mlir::ImplicitLocOpBuilder &builder);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes);
  static ApplyGPUWwmaToNVVMConversionPatternsOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes);
  static ApplyGPUWwmaToNVVMConversionPatternsOp create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::TypeRange resultTypes);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static ApplyGPUWwmaToNVVMConversionPatternsOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static ApplyGPUWwmaToNVVMConversionPatternsOp create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, const Properties &properties, ::llvm::ArrayRef<::mlir::NamedAttribute> discardableAttributes = {});
  static ApplyGPUWwmaToNVVMConversionPatternsOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, const Properties &properties, ::llvm::ArrayRef<::mlir::NamedAttribute> discardableAttributes = {});
  static ApplyGPUWwmaToNVVMConversionPatternsOp create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, const Properties &properties, ::llvm::ArrayRef<::mlir::NamedAttribute> discardableAttributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  void populatePatterns(::mlir::TypeConverter &typeConverter, ::mlir::RewritePatternSet &patterns);
  ::llvm::LogicalResult verifyTypeConverter(TypeConverterBuilderOpInterface builder);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
public:
};
} // namespace transform
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(::mlir::transform::ApplyGPUWwmaToNVVMConversionPatternsOp)

namespace mlir {
namespace transform {

//===----------------------------------------------------------------------===//
// ::mlir::transform::ApplyUnrollVectorsSubgroupMmaOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class ApplyUnrollVectorsSubgroupMmaOpGenericAdaptorBase {
public:
  struct Properties {
    using kTy = ::mlir::IntegerAttr;
    kTy k;

    auto getK() const {
      auto &propStorage = this->k;
      return ::llvm::cast<::mlir::IntegerAttr>(propStorage);
    }
    void setK(const ::mlir::IntegerAttr &propValue) {
      this->k = propValue;
    }
    using mTy = ::mlir::IntegerAttr;
    mTy m;

    auto getM() const {
      auto &propStorage = this->m;
      return ::llvm::cast<::mlir::IntegerAttr>(propStorage);
    }
    void setM(const ::mlir::IntegerAttr &propValue) {
      this->m = propValue;
    }
    using nTy = ::mlir::IntegerAttr;
    nTy n;

    auto getN() const {
      auto &propStorage = this->n;
      return ::llvm::cast<::mlir::IntegerAttr>(propStorage);
    }
    void setN(const ::mlir::IntegerAttr &propValue) {
      this->n = propValue;
    }
    bool operator==(const Properties &rhs) const {
      return 
        rhs.k == this->k &&
        rhs.m == this->m &&
        rhs.n == this->n &&
        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:
  ApplyUnrollVectorsSubgroupMmaOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("transform.apply_patterns.gpu.unroll_vectors_subgroup_mma", odsAttrs.getContext());
  }

  ApplyUnrollVectorsSubgroupMmaOpGenericAdaptorBase(ApplyUnrollVectorsSubgroupMmaOp 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 getMAttr() {
    auto attr = ::llvm::cast<::mlir::IntegerAttr>(getProperties().m);
    return attr;
  }

  uint64_t getM();
  ::mlir::IntegerAttr getNAttr() {
    auto attr = ::llvm::cast<::mlir::IntegerAttr>(getProperties().n);
    return attr;
  }

  uint64_t getN();
  ::mlir::IntegerAttr getKAttr() {
    auto attr = ::llvm::cast<::mlir::IntegerAttr>(getProperties().k);
    return attr;
  }

  uint64_t getK();
};
} // namespace detail
template <typename RangeT>
class ApplyUnrollVectorsSubgroupMmaOpGenericAdaptor : public detail::ApplyUnrollVectorsSubgroupMmaOpGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::ApplyUnrollVectorsSubgroupMmaOpGenericAdaptorBase;
public:
  ApplyUnrollVectorsSubgroupMmaOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

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

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

  ApplyUnrollVectorsSubgroupMmaOpGenericAdaptor(RangeT values, const ApplyUnrollVectorsSubgroupMmaOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = ApplyUnrollVectorsSubgroupMmaOp, typename = std::enable_if_t<std::is_same_v<LateInst, ApplyUnrollVectorsSubgroupMmaOp>>>
  ApplyUnrollVectorsSubgroupMmaOpGenericAdaptor(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 ApplyUnrollVectorsSubgroupMmaOpAdaptor : public ApplyUnrollVectorsSubgroupMmaOpGenericAdaptor<::mlir::ValueRange> {
public:
  using ApplyUnrollVectorsSubgroupMmaOpGenericAdaptor::ApplyUnrollVectorsSubgroupMmaOpGenericAdaptor;
  ApplyUnrollVectorsSubgroupMmaOpAdaptor(ApplyUnrollVectorsSubgroupMmaOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class ApplyUnrollVectorsSubgroupMmaOp : public ::mlir::Op<ApplyUnrollVectorsSubgroupMmaOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::ZeroResults, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::ZeroOperands, ::mlir::OpTrait::OpInvariants, ::mlir::BytecodeOpInterface::Trait, ::mlir::transform::PatternDescriptorOpInterface::Trait> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = ApplyUnrollVectorsSubgroupMmaOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = ApplyUnrollVectorsSubgroupMmaOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    static ::llvm::StringRef attrNames[] = {::llvm::StringRef("k"), ::llvm::StringRef("m"), ::llvm::StringRef("n")};
    return ::llvm::ArrayRef(attrNames);
  }

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

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

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

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

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

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

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("transform.apply_patterns.gpu.unroll_vectors_subgroup_mma");
  }

  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::IntegerAttr getMAttr() {
    return ::llvm::cast<::mlir::IntegerAttr>(getProperties().m);
  }

  uint64_t getM();
  ::mlir::IntegerAttr getNAttr() {
    return ::llvm::cast<::mlir::IntegerAttr>(getProperties().n);
  }

  uint64_t getN();
  ::mlir::IntegerAttr getKAttr() {
    return ::llvm::cast<::mlir::IntegerAttr>(getProperties().k);
  }

  uint64_t getK();
  void setMAttr(::mlir::IntegerAttr attr) {
    getProperties().m = attr;
  }

  void setM(uint64_t attrValue);
  void setNAttr(::mlir::IntegerAttr attr) {
    getProperties().n = attr;
  }

  void setN(uint64_t attrValue);
  void setKAttr(::mlir::IntegerAttr attr) {
    getProperties().k = attr;
  }

  void setK(uint64_t attrValue);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::IntegerAttr m, ::mlir::IntegerAttr n, ::mlir::IntegerAttr k);
  static ApplyUnrollVectorsSubgroupMmaOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::IntegerAttr m, ::mlir::IntegerAttr n, ::mlir::IntegerAttr k);
  static ApplyUnrollVectorsSubgroupMmaOp create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::IntegerAttr m, ::mlir::IntegerAttr n, ::mlir::IntegerAttr k);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::IntegerAttr m, ::mlir::IntegerAttr n, ::mlir::IntegerAttr k);
  static ApplyUnrollVectorsSubgroupMmaOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes, ::mlir::IntegerAttr m, ::mlir::IntegerAttr n, ::mlir::IntegerAttr k);
  static ApplyUnrollVectorsSubgroupMmaOp create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::TypeRange resultTypes, ::mlir::IntegerAttr m, ::mlir::IntegerAttr n, ::mlir::IntegerAttr k);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, uint64_t m, uint64_t n, uint64_t k);
  static ApplyUnrollVectorsSubgroupMmaOp create(::mlir::OpBuilder &builder, ::mlir::Location location, uint64_t m, uint64_t n, uint64_t k);
  static ApplyUnrollVectorsSubgroupMmaOp create(::mlir::ImplicitLocOpBuilder &builder, uint64_t m, uint64_t n, uint64_t k);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, uint64_t m, uint64_t n, uint64_t k);
  static ApplyUnrollVectorsSubgroupMmaOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes, uint64_t m, uint64_t n, uint64_t k);
  static ApplyUnrollVectorsSubgroupMmaOp create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::TypeRange resultTypes, uint64_t m, uint64_t n, uint64_t k);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static ApplyUnrollVectorsSubgroupMmaOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static ApplyUnrollVectorsSubgroupMmaOp create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, const Properties &properties, ::llvm::ArrayRef<::mlir::NamedAttribute> discardableAttributes = {});
  static ApplyUnrollVectorsSubgroupMmaOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, const Properties &properties, ::llvm::ArrayRef<::mlir::NamedAttribute> discardableAttributes = {});
  static ApplyUnrollVectorsSubgroupMmaOp create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, const Properties &properties, ::llvm::ArrayRef<::mlir::NamedAttribute> discardableAttributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  void populatePatterns(::mlir::RewritePatternSet &patterns);
  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 transform
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(::mlir::transform::ApplyUnrollVectorsSubgroupMmaOp)

namespace mlir {
namespace transform {

//===----------------------------------------------------------------------===//
// ::mlir::transform::EliminateBarriersOp declarations
//===----------------------------------------------------------------------===//

namespace detail {
class EliminateBarriersOpGenericAdaptorBase {
public:
  using Properties = ::mlir::EmptyProperties;
protected:
  ::mlir::DictionaryAttr odsAttrs;
  ::std::optional<::mlir::OperationName> odsOpName;
  Properties properties;
  ::mlir::RegionRange odsRegions;
public:
  EliminateBarriersOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("transform.apply_patterns.gpu.eliminate_barriers", odsAttrs.getContext());
  }

  EliminateBarriersOpGenericAdaptorBase(EliminateBarriersOp op);

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

  const Properties &getProperties() {
    return properties;
  }

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

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

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

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

  EliminateBarriersOpGenericAdaptor(RangeT values, const EliminateBarriersOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = EliminateBarriersOp, typename = std::enable_if_t<std::is_same_v<LateInst, EliminateBarriersOp>>>
  EliminateBarriersOpGenericAdaptor(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 EliminateBarriersOpAdaptor : public EliminateBarriersOpGenericAdaptor<::mlir::ValueRange> {
public:
  using EliminateBarriersOpGenericAdaptor::EliminateBarriersOpGenericAdaptor;
  EliminateBarriersOpAdaptor(EliminateBarriersOp op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class EliminateBarriersOp : public ::mlir::Op<EliminateBarriersOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::ZeroResults, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::ZeroOperands, ::mlir::OpTrait::OpInvariants, ::mlir::transform::PatternDescriptorOpInterface::Trait> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = EliminateBarriersOpAdaptor;
  template <typename RangeT>
  using GenericAdaptor = EliminateBarriersOpGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    return {};
  }

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("transform.apply_patterns.gpu.eliminate_barriers");
  }

  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 void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState);
  static EliminateBarriersOp create(::mlir::OpBuilder &builder, ::mlir::Location location);
  static EliminateBarriersOp create(::mlir::ImplicitLocOpBuilder &builder);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes);
  static EliminateBarriersOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes);
  static EliminateBarriersOp create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::TypeRange resultTypes);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static EliminateBarriersOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static EliminateBarriersOp create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, const Properties &properties, ::llvm::ArrayRef<::mlir::NamedAttribute> discardableAttributes = {});
  static EliminateBarriersOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, const Properties &properties, ::llvm::ArrayRef<::mlir::NamedAttribute> discardableAttributes = {});
  static EliminateBarriersOp create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, const Properties &properties, ::llvm::ArrayRef<::mlir::NamedAttribute> discardableAttributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  void populatePatterns(::mlir::RewritePatternSet &patterns);
  static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
  void print(::mlir::OpAsmPrinter &_odsPrinter);
public:
};
} // namespace transform
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(::mlir::transform::EliminateBarriersOp)

namespace mlir {
namespace transform {

//===----------------------------------------------------------------------===//
// ::mlir::transform::MapForallToBlocks declarations
//===----------------------------------------------------------------------===//

namespace detail {
class MapForallToBlocksGenericAdaptorBase {
public:
  struct Properties {
    using generate_gpu_launchTy = ::mlir::UnitAttr;
    generate_gpu_launchTy generate_gpu_launch;

    auto getGenerateGpuLaunch() const {
      auto &propStorage = this->generate_gpu_launch;
      return ::llvm::dyn_cast_or_null<::mlir::UnitAttr>(propStorage);
    }
    void setGenerateGpuLaunch(const ::mlir::UnitAttr &propValue) {
      this->generate_gpu_launch = propValue;
    }
    using grid_dimsTy = ::mlir::DenseI64ArrayAttr;
    grid_dimsTy grid_dims;

    auto getGridDims() const {
      auto &propStorage = this->grid_dims;
      return ::llvm::dyn_cast_or_null<::mlir::DenseI64ArrayAttr>(propStorage);
    }
    void setGridDims(const ::mlir::DenseI64ArrayAttr &propValue) {
      this->grid_dims = propValue;
    }
    bool operator==(const Properties &rhs) const {
      return 
        rhs.generate_gpu_launch == this->generate_gpu_launch &&
        rhs.grid_dims == this->grid_dims &&
        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:
  MapForallToBlocksGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("transform.gpu.map_forall_to_blocks", odsAttrs.getContext());
  }

  MapForallToBlocksGenericAdaptorBase(MapForallToBlocks 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 getGridDimsAttr();
  ::llvm::ArrayRef<int64_t> getGridDims();
  ::mlir::UnitAttr getGenerateGpuLaunchAttr();
  bool getGenerateGpuLaunch();
};
} // namespace detail
template <typename RangeT>
class MapForallToBlocksGenericAdaptor : public detail::MapForallToBlocksGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::MapForallToBlocksGenericAdaptorBase;
  static constexpr int odsIndex_target = 0;
public:
  MapForallToBlocksGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

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

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

  MapForallToBlocksGenericAdaptor(RangeT values, const MapForallToBlocksGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = MapForallToBlocks, typename = std::enable_if_t<std::is_same_v<LateInst, MapForallToBlocks>>>
  MapForallToBlocksGenericAdaptor(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 getTarget() {
    return (*getODSOperands(0).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class MapForallToBlocksAdaptor : public MapForallToBlocksGenericAdaptor<::mlir::ValueRange> {
public:
  using MapForallToBlocksGenericAdaptor::MapForallToBlocksGenericAdaptor;
  MapForallToBlocksAdaptor(MapForallToBlocks op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class MapForallToBlocks : public ::mlir::Op<MapForallToBlocks, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::transform::TransformHandleTypeInterface>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::OneOperand, ::mlir::OpTrait::OpInvariants, ::mlir::BytecodeOpInterface::Trait, ::mlir::transform::FunctionalStyleTransformOpTrait, ::mlir::MemoryEffectOpInterface::Trait, ::mlir::transform::TransformOpInterface::Trait, ::mlir::transform::TransformEachOpTrait> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = MapForallToBlocksAdaptor;
  template <typename RangeT>
  using GenericAdaptor = MapForallToBlocksGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static constexpr int odsIndex_target = 0;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    static ::llvm::StringRef attrNames[] = {::llvm::StringRef("generate_gpu_launch"), ::llvm::StringRef("grid_dims")};
    return ::llvm::ArrayRef(attrNames);
  }

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

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

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

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

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("transform.gpu.map_forall_to_blocks");
  }

  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::transform::TransformHandleTypeInterface> getTarget() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::transform::TransformHandleTypeInterface>>(*getODSOperands(0).begin());
  }

  ::mlir::OpOperand &getTargetMutable() {
    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::transform::TransformHandleTypeInterface> getResult() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::transform::TransformHandleTypeInterface>>(*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 getGridDimsAttr() {
    return ::llvm::dyn_cast_or_null<::mlir::DenseI64ArrayAttr>(getProperties().grid_dims);
  }

  ::llvm::ArrayRef<int64_t> getGridDims();
  ::mlir::UnitAttr getGenerateGpuLaunchAttr() {
    return ::llvm::dyn_cast_or_null<::mlir::UnitAttr>(getProperties().generate_gpu_launch);
  }

  bool getGenerateGpuLaunch();
  void setGridDimsAttr(::mlir::DenseI64ArrayAttr attr) {
    getProperties().grid_dims = attr;
  }

  void setGridDims(::std::optional<::llvm::ArrayRef<int64_t>> attrValue);
  void setGenerateGpuLaunchAttr(::mlir::UnitAttr attr) {
    getProperties().generate_gpu_launch = attr;
  }

  void setGenerateGpuLaunch(bool attrValue);
  ::mlir::Attribute removeGridDimsAttr() {
      auto attr = getProperties().grid_dims;
      getProperties().grid_dims = {};
      return attr;
  }

  ::mlir::Attribute removeGenerateGpuLaunchAttr() {
      auto attr = getProperties().generate_gpu_launch;
      getProperties().generate_gpu_launch = {};
      return attr;
  }

  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type result, ::mlir::Value target, /*optional*/::mlir::DenseI64ArrayAttr grid_dims, /*optional*/::mlir::UnitAttr generate_gpu_launch = nullptr);
  static MapForallToBlocks create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::Type result, ::mlir::Value target, /*optional*/::mlir::DenseI64ArrayAttr grid_dims, /*optional*/::mlir::UnitAttr generate_gpu_launch = nullptr);
  static MapForallToBlocks create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::Type result, ::mlir::Value target, /*optional*/::mlir::DenseI64ArrayAttr grid_dims, /*optional*/::mlir::UnitAttr generate_gpu_launch = nullptr);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value target, /*optional*/::mlir::DenseI64ArrayAttr grid_dims, /*optional*/::mlir::UnitAttr generate_gpu_launch = nullptr);
  static MapForallToBlocks create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes, ::mlir::Value target, /*optional*/::mlir::DenseI64ArrayAttr grid_dims, /*optional*/::mlir::UnitAttr generate_gpu_launch = nullptr);
  static MapForallToBlocks create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::TypeRange resultTypes, ::mlir::Value target, /*optional*/::mlir::DenseI64ArrayAttr grid_dims, /*optional*/::mlir::UnitAttr generate_gpu_launch = nullptr);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type result, ::mlir::Value target, /*optional*/::llvm::ArrayRef<int64_t> grid_dims = {}, /*optional*/bool generate_gpu_launch = false);
  static MapForallToBlocks create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::Type result, ::mlir::Value target, /*optional*/::llvm::ArrayRef<int64_t> grid_dims = {}, /*optional*/bool generate_gpu_launch = false);
  static MapForallToBlocks create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::Type result, ::mlir::Value target, /*optional*/::llvm::ArrayRef<int64_t> grid_dims = {}, /*optional*/bool generate_gpu_launch = false);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value target, /*optional*/::llvm::ArrayRef<int64_t> grid_dims = {}, /*optional*/bool generate_gpu_launch = false);
  static MapForallToBlocks create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes, ::mlir::Value target, /*optional*/::llvm::ArrayRef<int64_t> grid_dims = {}, /*optional*/bool generate_gpu_launch = false);
  static MapForallToBlocks create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::TypeRange resultTypes, ::mlir::Value target, /*optional*/::llvm::ArrayRef<int64_t> grid_dims = {}, /*optional*/bool generate_gpu_launch = false);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static MapForallToBlocks create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static MapForallToBlocks create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, const Properties &properties, ::llvm::ArrayRef<::mlir::NamedAttribute> discardableAttributes = {});
  static MapForallToBlocks create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, const Properties &properties, ::llvm::ArrayRef<::mlir::NamedAttribute> discardableAttributes = {});
  static MapForallToBlocks create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, const Properties &properties, ::llvm::ArrayRef<::mlir::NamedAttribute> discardableAttributes = {});
  ::llvm::LogicalResult verifyInvariantsImpl();
  ::llvm::LogicalResult verifyInvariants();
  ::llvm::LogicalResult verify();
  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 < 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:
  ::mlir::DiagnosedSilenceableFailure applyToOne(
      ::mlir::transform::TransformRewriter &rewriter,
      ::mlir::Operation *target,
      ::mlir::transform::ApplyToEachResultList &results,
      ::mlir::transform::TransformState &state);
};
} // namespace transform
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(::mlir::transform::MapForallToBlocks)

namespace mlir {
namespace transform {

//===----------------------------------------------------------------------===//
// ::mlir::transform::MapNestedForallToThreads declarations
//===----------------------------------------------------------------------===//

namespace detail {
class MapNestedForallToThreadsGenericAdaptorBase {
public:
  struct Properties {
    using block_dimsTy = ::mlir::DenseI64ArrayAttr;
    block_dimsTy block_dims;

    auto getBlockDims() const {
      auto &propStorage = this->block_dims;
      return ::llvm::dyn_cast_or_null<::mlir::DenseI64ArrayAttr>(propStorage);
    }
    void setBlockDims(const ::mlir::DenseI64ArrayAttr &propValue) {
      this->block_dims = propValue;
    }
    using sync_after_distributeTy = ::mlir::BoolAttr;
    sync_after_distributeTy sync_after_distribute;

    auto getSyncAfterDistribute() const {
      auto &propStorage = this->sync_after_distribute;
      return ::llvm::dyn_cast_or_null<::mlir::BoolAttr>(propStorage);
    }
    void setSyncAfterDistribute(const ::mlir::BoolAttr &propValue) {
      this->sync_after_distribute = propValue;
    }
    using warp_sizeTy = ::mlir::IntegerAttr;
    warp_sizeTy warp_size;

    auto getWarpSize() const {
      auto &propStorage = this->warp_size;
      return ::llvm::dyn_cast_or_null<::mlir::IntegerAttr>(propStorage);
    }
    void setWarpSize(const ::mlir::IntegerAttr &propValue) {
      this->warp_size = propValue;
    }
    bool operator==(const Properties &rhs) const {
      return 
        rhs.block_dims == this->block_dims &&
        rhs.sync_after_distribute == this->sync_after_distribute &&
        rhs.warp_size == this->warp_size &&
        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:
  MapNestedForallToThreadsGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) {  if (odsAttrs)
      odsOpName.emplace("transform.gpu.map_nested_forall_to_threads", odsAttrs.getContext());
  }

  MapNestedForallToThreadsGenericAdaptorBase(MapNestedForallToThreads 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 getBlockDimsAttr();
  ::llvm::ArrayRef<int64_t> getBlockDims();
  ::mlir::BoolAttr getSyncAfterDistributeAttr();
  bool getSyncAfterDistribute();
  ::mlir::IntegerAttr getWarpSizeAttr();
  uint64_t getWarpSize();
};
} // namespace detail
template <typename RangeT>
class MapNestedForallToThreadsGenericAdaptor : public detail::MapNestedForallToThreadsGenericAdaptorBase {
  using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
  using Base = detail::MapNestedForallToThreadsGenericAdaptorBase;
  static constexpr int odsIndex_target = 0;
public:
  MapNestedForallToThreadsGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}

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

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

  MapNestedForallToThreadsGenericAdaptor(RangeT values, const MapNestedForallToThreadsGenericAdaptorBase &base) : Base(base), odsOperands(values) {}

  template <typename LateInst = MapNestedForallToThreads, typename = std::enable_if_t<std::is_same_v<LateInst, MapNestedForallToThreads>>>
  MapNestedForallToThreadsGenericAdaptor(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 getTarget() {
    return (*getODSOperands(0).begin());
  }

  RangeT getOperands() {
    return odsOperands;
  }

private:
  RangeT odsOperands;
};
class MapNestedForallToThreadsAdaptor : public MapNestedForallToThreadsGenericAdaptor<::mlir::ValueRange> {
public:
  using MapNestedForallToThreadsGenericAdaptor::MapNestedForallToThreadsGenericAdaptor;
  MapNestedForallToThreadsAdaptor(MapNestedForallToThreads op);

  ::llvm::LogicalResult verify(::mlir::Location loc);
};
class MapNestedForallToThreads : public ::mlir::Op<MapNestedForallToThreads, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::transform::TransformHandleTypeInterface>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::OneOperand, ::mlir::OpTrait::OpInvariants, ::mlir::BytecodeOpInterface::Trait, ::mlir::transform::FunctionalStyleTransformOpTrait, ::mlir::MemoryEffectOpInterface::Trait, ::mlir::transform::TransformEachOpTrait, ::mlir::transform::TransformOpInterface::Trait> {
public:
  using Op::Op;
  using Op::print;
  using Adaptor = MapNestedForallToThreadsAdaptor;
  template <typename RangeT>
  using GenericAdaptor = MapNestedForallToThreadsGenericAdaptor<RangeT>;
  using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
  static constexpr int odsIndex_target = 0;
  using Properties = FoldAdaptor::Properties;
  static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
    static ::llvm::StringRef attrNames[] = {::llvm::StringRef("block_dims"), ::llvm::StringRef("sync_after_distribute"), ::llvm::StringRef("warp_size")};
    return ::llvm::ArrayRef(attrNames);
  }

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

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

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

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

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

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

  static constexpr ::llvm::StringLiteral getOperationName() {
    return ::llvm::StringLiteral("transform.gpu.map_nested_forall_to_threads");
  }

  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::transform::TransformHandleTypeInterface> getTarget() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::transform::TransformHandleTypeInterface>>(*getODSOperands(0).begin());
  }

  ::mlir::OpOperand &getTargetMutable() {
    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::transform::TransformHandleTypeInterface> getResult() {
    return ::llvm::cast<::mlir::TypedValue<::mlir::transform::TransformHandleTypeInterface>>(*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 getBlockDimsAttr() {
    return ::llvm::dyn_cast_or_null<::mlir::DenseI64ArrayAttr>(getProperties().block_dims);
  }

  ::llvm::ArrayRef<int64_t> getBlockDims();
  ::mlir::BoolAttr getSyncAfterDistributeAttr() {
    return ::llvm::dyn_cast_or_null<::mlir::BoolAttr>(getProperties().sync_after_distribute);
  }

  bool getSyncAfterDistribute();
  ::mlir::IntegerAttr getWarpSizeAttr() {
    return ::llvm::dyn_cast_or_null<::mlir::IntegerAttr>(getProperties().warp_size);
  }

  uint64_t getWarpSize();
  void setBlockDimsAttr(::mlir::DenseI64ArrayAttr attr) {
    getProperties().block_dims = attr;
  }

  void setBlockDims(::llvm::ArrayRef<int64_t> attrValue);
  void setSyncAfterDistributeAttr(::mlir::BoolAttr attr) {
    getProperties().sync_after_distribute = attr;
  }

  void setSyncAfterDistribute(bool attrValue);
  void setWarpSizeAttr(::mlir::IntegerAttr attr) {
    getProperties().warp_size = attr;
  }

  void setWarpSize(uint64_t attrValue);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type result, ::mlir::Value target, ::mlir::DenseI64ArrayAttr block_dims, ::mlir::BoolAttr sync_after_distribute = nullptr, ::mlir::IntegerAttr warp_size = nullptr);
  static MapNestedForallToThreads create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::Type result, ::mlir::Value target, ::mlir::DenseI64ArrayAttr block_dims, ::mlir::BoolAttr sync_after_distribute = nullptr, ::mlir::IntegerAttr warp_size = nullptr);
  static MapNestedForallToThreads create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::Type result, ::mlir::Value target, ::mlir::DenseI64ArrayAttr block_dims, ::mlir::BoolAttr sync_after_distribute = nullptr, ::mlir::IntegerAttr warp_size = nullptr);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value target, ::mlir::DenseI64ArrayAttr block_dims, ::mlir::BoolAttr sync_after_distribute = nullptr, ::mlir::IntegerAttr warp_size = nullptr);
  static MapNestedForallToThreads create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes, ::mlir::Value target, ::mlir::DenseI64ArrayAttr block_dims, ::mlir::BoolAttr sync_after_distribute = nullptr, ::mlir::IntegerAttr warp_size = nullptr);
  static MapNestedForallToThreads create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::TypeRange resultTypes, ::mlir::Value target, ::mlir::DenseI64ArrayAttr block_dims, ::mlir::BoolAttr sync_after_distribute = nullptr, ::mlir::IntegerAttr warp_size = nullptr);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type result, ::mlir::Value target, ::llvm::ArrayRef<int64_t> block_dims = {}, bool sync_after_distribute = true, uint64_t warp_size = 32);
  static MapNestedForallToThreads create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::Type result, ::mlir::Value target, ::llvm::ArrayRef<int64_t> block_dims = {}, bool sync_after_distribute = true, uint64_t warp_size = 32);
  static MapNestedForallToThreads create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::Type result, ::mlir::Value target, ::llvm::ArrayRef<int64_t> block_dims = {}, bool sync_after_distribute = true, uint64_t warp_size = 32);
  static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value target, ::llvm::ArrayRef<int64_t> block_dims = {}, bool sync_after_distribute = true, uint64_t warp_size = 32);
  static MapNestedForallToThreads create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes, ::mlir::Value target, ::llvm::ArrayRef<int64_t> block_dims = {}, bool sync_after_distribute = true, uint64_t warp_size = 32);
  static MapNestedForallToThreads create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::TypeRange resultTypes, ::mlir::Value target, ::llvm::ArrayRef<int64_t> block_dims = {}, bool sync_after_distribute = true, uint64_t warp_size = 32);
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static MapNestedForallToThreads create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static MapNestedForallToThreads create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
  static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, const Properties &properties, ::llvm::ArrayRef<::mlir::NamedAttribute> discardableAttributes = {});
  static MapNestedForallToThreads create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, const Properties &properties, ::llvm::ArrayRef<::mlir::NamedAttribute> discardableAttributes = {});
  static MapNestedForallToThreads create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, const Properties &properties, ::llvm::ArrayRef<::mlir::NamedAttribute> discardableAttributes = {});
  static void populateDefaultProperties(::mlir::OperationName opName, Properties &properties);
  ::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:
  ::mlir::DiagnosedSilenceableFailure applyToOne(
      ::mlir::transform::TransformRewriter &rewriter,
      ::mlir::Operation *target,
      ::mlir::transform::ApplyToEachResultList &results,
      ::mlir::transform::TransformState &state);
};
} // namespace transform
} // namespace mlir
MLIR_DECLARE_EXPLICIT_TYPE_ID(::mlir::transform::MapNestedForallToThreads)


#endif  // GET_OP_CLASSES

