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gps/tools/local/circt/include/mlir/Dialect/GPU/IR/GPUOpsEnums.cpp.inc
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2026-07-12 11:01:51 +03:00

572 lines
21 KiB
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/*===- TableGen'erated file -------------------------------------*- C++ -*-===*\
|* *|
|* Enum Utility Definitions *|
|* *|
|* Automatically generated file, do not edit! *|
|* From: GPUOps.td *|
|* *|
\*===----------------------------------------------------------------------===*/
namespace mlir::gpu {
::llvm::StringRef stringifyAddressSpace(AddressSpace val) {
switch (val) {
case AddressSpace::Global: return "global";
case AddressSpace::Workgroup: return "workgroup";
case AddressSpace::Private: return "private";
case AddressSpace::Constant: return "constant";
}
return "";
}
::std::optional<AddressSpace> symbolizeAddressSpace(::llvm::StringRef str) {
return ::llvm::StringSwitch<::std::optional<AddressSpace>>(str)
.Case("global", AddressSpace::Global)
.Case("workgroup", AddressSpace::Workgroup)
.Case("private", AddressSpace::Private)
.Case("constant", AddressSpace::Constant)
.Default(::std::nullopt);
}
::std::optional<AddressSpace> symbolizeAddressSpace(uint32_t value) {
switch (value) {
case 1: return AddressSpace::Global;
case 2: return AddressSpace::Workgroup;
case 3: return AddressSpace::Private;
case 4: return AddressSpace::Constant;
default: return ::std::nullopt;
}
}
} // namespace mlir::gpu
namespace mlir::gpu {
::llvm::StringRef stringifyAllReduceOperation(AllReduceOperation val) {
switch (val) {
case AllReduceOperation::ADD: return "add";
case AllReduceOperation::MUL: return "mul";
case AllReduceOperation::MINUI: return "minui";
case AllReduceOperation::MINSI: return "minsi";
case AllReduceOperation::MINNUMF: return "minnumf";
case AllReduceOperation::MAXUI: return "maxui";
case AllReduceOperation::MAXSI: return "maxsi";
case AllReduceOperation::MAXNUMF: return "maxnumf";
case AllReduceOperation::AND: return "and";
case AllReduceOperation::OR: return "or";
case AllReduceOperation::XOR: return "xor";
case AllReduceOperation::MINIMUMF: return "minimumf";
case AllReduceOperation::MAXIMUMF: return "maximumf";
}
return "";
}
::std::optional<AllReduceOperation> symbolizeAllReduceOperation(::llvm::StringRef str) {
return ::llvm::StringSwitch<::std::optional<AllReduceOperation>>(str)
.Case("add", AllReduceOperation::ADD)
.Case("mul", AllReduceOperation::MUL)
.Case("minui", AllReduceOperation::MINUI)
.Case("minsi", AllReduceOperation::MINSI)
.Case("minnumf", AllReduceOperation::MINNUMF)
.Case("maxui", AllReduceOperation::MAXUI)
.Case("maxsi", AllReduceOperation::MAXSI)
.Case("maxnumf", AllReduceOperation::MAXNUMF)
.Case("and", AllReduceOperation::AND)
.Case("or", AllReduceOperation::OR)
.Case("xor", AllReduceOperation::XOR)
.Case("minimumf", AllReduceOperation::MINIMUMF)
.Case("maximumf", AllReduceOperation::MAXIMUMF)
.Default(::std::nullopt);
}
::std::optional<AllReduceOperation> symbolizeAllReduceOperation(uint32_t value) {
switch (value) {
case 0: return AllReduceOperation::ADD;
case 1: return AllReduceOperation::MUL;
case 2: return AllReduceOperation::MINUI;
case 3: return AllReduceOperation::MINSI;
case 4: return AllReduceOperation::MINNUMF;
case 5: return AllReduceOperation::MAXUI;
case 6: return AllReduceOperation::MAXSI;
case 7: return AllReduceOperation::MAXNUMF;
case 8: return AllReduceOperation::AND;
case 9: return AllReduceOperation::OR;
case 10: return AllReduceOperation::XOR;
case 11: return AllReduceOperation::MINIMUMF;
case 12: return AllReduceOperation::MAXIMUMF;
default: return ::std::nullopt;
}
}
} // namespace mlir::gpu
namespace mlir::gpu {
::llvm::StringRef stringifyBarrierScope(BarrierScope val) {
switch (val) {
case BarrierScope::Subgroup: return "subgroup";
case BarrierScope::Workgroup: return "workgroup";
case BarrierScope::Cluster: return "cluster";
}
return "";
}
::std::optional<BarrierScope> symbolizeBarrierScope(::llvm::StringRef str) {
return ::llvm::StringSwitch<::std::optional<BarrierScope>>(str)
.Case("subgroup", BarrierScope::Subgroup)
.Case("workgroup", BarrierScope::Workgroup)
.Case("cluster", BarrierScope::Cluster)
.Default(::std::nullopt);
}
::std::optional<BarrierScope> symbolizeBarrierScope(uint32_t value) {
switch (value) {
case 1: return BarrierScope::Subgroup;
case 2: return BarrierScope::Workgroup;
case 3: return BarrierScope::Cluster;
default: return ::std::nullopt;
}
}
} // namespace mlir::gpu
namespace mlir::gpu {
::llvm::StringRef stringifyBroadcastType(BroadcastType val) {
switch (val) {
case BroadcastType::first_active_lane: return "first_active_lane";
case BroadcastType::specific_lane: return "specific_lane";
}
return "";
}
::std::optional<BroadcastType> symbolizeBroadcastType(::llvm::StringRef str) {
return ::llvm::StringSwitch<::std::optional<BroadcastType>>(str)
.Case("first_active_lane", BroadcastType::first_active_lane)
.Case("specific_lane", BroadcastType::specific_lane)
.Default(::std::nullopt);
}
::std::optional<BroadcastType> symbolizeBroadcastType(uint32_t value) {
switch (value) {
case 0: return BroadcastType::first_active_lane;
case 1: return BroadcastType::specific_lane;
default: return ::std::nullopt;
}
}
} // namespace mlir::gpu
namespace mlir::gpu {
::llvm::StringRef stringifyCompilationTarget(CompilationTarget val) {
switch (val) {
case CompilationTarget::Offload: return "offload";
case CompilationTarget::Assembly: return "assembly";
case CompilationTarget::Binary: return "bin";
case CompilationTarget::Fatbin: return "fatbin";
}
return "";
}
::std::optional<CompilationTarget> symbolizeCompilationTarget(::llvm::StringRef str) {
return ::llvm::StringSwitch<::std::optional<CompilationTarget>>(str)
.Case("offload", CompilationTarget::Offload)
.Case("assembly", CompilationTarget::Assembly)
.Case("bin", CompilationTarget::Binary)
.Case("fatbin", CompilationTarget::Fatbin)
.Default(::std::nullopt);
}
::std::optional<CompilationTarget> symbolizeCompilationTarget(uint32_t value) {
switch (value) {
case 1: return CompilationTarget::Offload;
case 2: return CompilationTarget::Assembly;
case 3: return CompilationTarget::Binary;
case 4: return CompilationTarget::Fatbin;
default: return ::std::nullopt;
}
}
} // namespace mlir::gpu
namespace mlir::gpu {
::llvm::StringRef stringifyDimension(Dimension val) {
switch (val) {
case Dimension::x: return "x";
case Dimension::y: return "y";
case Dimension::z: return "z";
}
return "";
}
::std::optional<Dimension> symbolizeDimension(::llvm::StringRef str) {
return ::llvm::StringSwitch<::std::optional<Dimension>>(str)
.Case("x", Dimension::x)
.Case("y", Dimension::y)
.Case("z", Dimension::z)
.Default(::std::nullopt);
}
::std::optional<Dimension> symbolizeDimension(uint32_t value) {
switch (value) {
case 0: return Dimension::x;
case 1: return Dimension::y;
case 2: return Dimension::z;
default: return ::std::nullopt;
}
}
} // namespace mlir::gpu
namespace mlir::gpu {
::llvm::StringRef stringifyDimensionKind(DimensionKind val) {
switch (val) {
case DimensionKind::Other: return "other";
case DimensionKind::Block: return "block";
case DimensionKind::Grid: return "grid";
case DimensionKind::Cluster: return "cluster";
}
return "";
}
::std::optional<DimensionKind> symbolizeDimensionKind(::llvm::StringRef str) {
return ::llvm::StringSwitch<::std::optional<DimensionKind>>(str)
.Case("other", DimensionKind::Other)
.Case("block", DimensionKind::Block)
.Case("grid", DimensionKind::Grid)
.Case("cluster", DimensionKind::Cluster)
.Default(::std::nullopt);
}
::std::optional<DimensionKind> symbolizeDimensionKind(uint32_t value) {
switch (value) {
case 0: return DimensionKind::Other;
case 1: return DimensionKind::Block;
case 2: return DimensionKind::Grid;
case 3: return DimensionKind::Cluster;
default: return ::std::nullopt;
}
}
} // namespace mlir::gpu
namespace mlir::gpu {
::llvm::StringRef stringifyPrune2To4SpMatFlag(Prune2To4SpMatFlag val) {
switch (val) {
case Prune2To4SpMatFlag::NONE: return "NONE";
case Prune2To4SpMatFlag::PRUNE_ONLY: return "PRUNE_ONLY";
case Prune2To4SpMatFlag::PRUNE_AND_CHECK: return "PRUNE_AND_CHECK";
}
return "";
}
::std::optional<Prune2To4SpMatFlag> symbolizePrune2To4SpMatFlag(::llvm::StringRef str) {
return ::llvm::StringSwitch<::std::optional<Prune2To4SpMatFlag>>(str)
.Case("NONE", Prune2To4SpMatFlag::NONE)
.Case("PRUNE_ONLY", Prune2To4SpMatFlag::PRUNE_ONLY)
.Case("PRUNE_AND_CHECK", Prune2To4SpMatFlag::PRUNE_AND_CHECK)
.Default(::std::nullopt);
}
::std::optional<Prune2To4SpMatFlag> symbolizePrune2To4SpMatFlag(uint32_t value) {
switch (value) {
case 0: return Prune2To4SpMatFlag::NONE;
case 1: return Prune2To4SpMatFlag::PRUNE_ONLY;
case 2: return Prune2To4SpMatFlag::PRUNE_AND_CHECK;
default: return ::std::nullopt;
}
}
} // namespace mlir::gpu
namespace mlir::gpu {
::llvm::StringRef stringifyShuffleMode(ShuffleMode val) {
switch (val) {
case ShuffleMode::XOR: return "xor";
case ShuffleMode::UP: return "up";
case ShuffleMode::DOWN: return "down";
case ShuffleMode::IDX: return "idx";
}
return "";
}
::std::optional<ShuffleMode> symbolizeShuffleMode(::llvm::StringRef str) {
return ::llvm::StringSwitch<::std::optional<ShuffleMode>>(str)
.Case("xor", ShuffleMode::XOR)
.Case("up", ShuffleMode::UP)
.Case("down", ShuffleMode::DOWN)
.Case("idx", ShuffleMode::IDX)
.Default(::std::nullopt);
}
::std::optional<ShuffleMode> symbolizeShuffleMode(uint32_t value) {
switch (value) {
case 0: return ShuffleMode::XOR;
case 2: return ShuffleMode::UP;
case 1: return ShuffleMode::DOWN;
case 3: return ShuffleMode::IDX;
default: return ::std::nullopt;
}
}
} // namespace mlir::gpu
namespace mlir::gpu {
::llvm::StringRef stringifySpGEMMWorkEstimationOrComputeKind(SpGEMMWorkEstimationOrComputeKind val) {
switch (val) {
case SpGEMMWorkEstimationOrComputeKind::WORK_ESTIMATION: return "WORK_ESTIMATION";
case SpGEMMWorkEstimationOrComputeKind::COMPUTE: return "COMPUTE";
}
return "";
}
::std::optional<SpGEMMWorkEstimationOrComputeKind> symbolizeSpGEMMWorkEstimationOrComputeKind(::llvm::StringRef str) {
return ::llvm::StringSwitch<::std::optional<SpGEMMWorkEstimationOrComputeKind>>(str)
.Case("WORK_ESTIMATION", SpGEMMWorkEstimationOrComputeKind::WORK_ESTIMATION)
.Case("COMPUTE", SpGEMMWorkEstimationOrComputeKind::COMPUTE)
.Default(::std::nullopt);
}
::std::optional<SpGEMMWorkEstimationOrComputeKind> symbolizeSpGEMMWorkEstimationOrComputeKind(uint32_t value) {
switch (value) {
case 0: return SpGEMMWorkEstimationOrComputeKind::WORK_ESTIMATION;
case 1: return SpGEMMWorkEstimationOrComputeKind::COMPUTE;
default: return ::std::nullopt;
}
}
} // namespace mlir::gpu
namespace mlir::gpu {
::llvm::StringRef stringifyTransposeMode(TransposeMode val) {
switch (val) {
case TransposeMode::NON_TRANSPOSE: return "NON_TRANSPOSE";
case TransposeMode::TRANSPOSE: return "TRANSPOSE";
case TransposeMode::CONJUGATE_TRANSPOSE: return "CONJUGATE_TRANSPOSE";
}
return "";
}
::std::optional<TransposeMode> symbolizeTransposeMode(::llvm::StringRef str) {
return ::llvm::StringSwitch<::std::optional<TransposeMode>>(str)
.Case("NON_TRANSPOSE", TransposeMode::NON_TRANSPOSE)
.Case("TRANSPOSE", TransposeMode::TRANSPOSE)
.Case("CONJUGATE_TRANSPOSE", TransposeMode::CONJUGATE_TRANSPOSE)
.Default(::std::nullopt);
}
::std::optional<TransposeMode> symbolizeTransposeMode(uint32_t value) {
switch (value) {
case 0: return TransposeMode::NON_TRANSPOSE;
case 1: return TransposeMode::TRANSPOSE;
case 2: return TransposeMode::CONJUGATE_TRANSPOSE;
default: return ::std::nullopt;
}
}
} // namespace mlir::gpu
namespace mlir::gpu {
::llvm::StringRef stringifyMMAElementwiseOp(MMAElementwiseOp val) {
switch (val) {
case MMAElementwiseOp::ADDF: return "addf";
case MMAElementwiseOp::MULF: return "mulf";
case MMAElementwiseOp::SUBF: return "subf";
case MMAElementwiseOp::MAXF: return "maxf";
case MMAElementwiseOp::MINF: return "minf";
case MMAElementwiseOp::DIVF: return "divf";
case MMAElementwiseOp::ADDI: return "addi";
case MMAElementwiseOp::MULI: return "muli";
case MMAElementwiseOp::SUBI: return "subi";
case MMAElementwiseOp::DIVS: return "divs";
case MMAElementwiseOp::DIVU: return "divu";
case MMAElementwiseOp::NEGATEF: return "negatef";
case MMAElementwiseOp::NEGATES: return "negates";
case MMAElementwiseOp::EXTF: return "extf";
case MMAElementwiseOp::TRUNCF: return "truncf";
}
return "";
}
::std::optional<MMAElementwiseOp> symbolizeMMAElementwiseOp(::llvm::StringRef str) {
return ::llvm::StringSwitch<::std::optional<MMAElementwiseOp>>(str)
.Case("addf", MMAElementwiseOp::ADDF)
.Case("mulf", MMAElementwiseOp::MULF)
.Case("subf", MMAElementwiseOp::SUBF)
.Case("maxf", MMAElementwiseOp::MAXF)
.Case("minf", MMAElementwiseOp::MINF)
.Case("divf", MMAElementwiseOp::DIVF)
.Case("addi", MMAElementwiseOp::ADDI)
.Case("muli", MMAElementwiseOp::MULI)
.Case("subi", MMAElementwiseOp::SUBI)
.Case("divs", MMAElementwiseOp::DIVS)
.Case("divu", MMAElementwiseOp::DIVU)
.Case("negatef", MMAElementwiseOp::NEGATEF)
.Case("negates", MMAElementwiseOp::NEGATES)
.Case("extf", MMAElementwiseOp::EXTF)
.Case("truncf", MMAElementwiseOp::TRUNCF)
.Default(::std::nullopt);
}
::std::optional<MMAElementwiseOp> symbolizeMMAElementwiseOp(uint32_t value) {
switch (value) {
case 0: return MMAElementwiseOp::ADDF;
case 1: return MMAElementwiseOp::MULF;
case 2: return MMAElementwiseOp::SUBF;
case 3: return MMAElementwiseOp::MAXF;
case 4: return MMAElementwiseOp::MINF;
case 5: return MMAElementwiseOp::DIVF;
case 6: return MMAElementwiseOp::ADDI;
case 7: return MMAElementwiseOp::MULI;
case 8: return MMAElementwiseOp::SUBI;
case 9: return MMAElementwiseOp::DIVS;
case 10: return MMAElementwiseOp::DIVU;
case 11: return MMAElementwiseOp::NEGATEF;
case 12: return MMAElementwiseOp::NEGATES;
case 13: return MMAElementwiseOp::EXTF;
case 14: return MMAElementwiseOp::TRUNCF;
default: return ::std::nullopt;
}
}
} // namespace mlir::gpu
namespace mlir::gpu {
::llvm::StringRef stringifyMappingId(MappingId val) {
switch (val) {
case MappingId::DimX: return "x";
case MappingId::DimY: return "y";
case MappingId::DimZ: return "z";
case MappingId::LinearDim0: return "linear_dim_0";
case MappingId::LinearDim1: return "linear_dim_1";
case MappingId::LinearDim2: return "linear_dim_2";
case MappingId::LinearDim3: return "linear_dim_3";
case MappingId::LinearDim4: return "linear_dim_4";
case MappingId::LinearDim5: return "linear_dim_5";
case MappingId::LinearDim6: return "linear_dim_6";
case MappingId::LinearDim7: return "linear_dim_7";
case MappingId::LinearDim8: return "linear_dim_8";
case MappingId::LinearDim9: return "linear_dim_9";
}
return "";
}
::std::optional<MappingId> symbolizeMappingId(::llvm::StringRef str) {
return ::llvm::StringSwitch<::std::optional<MappingId>>(str)
.Case("x", MappingId::DimX)
.Case("y", MappingId::DimY)
.Case("z", MappingId::DimZ)
.Case("linear_dim_0", MappingId::LinearDim0)
.Case("linear_dim_1", MappingId::LinearDim1)
.Case("linear_dim_2", MappingId::LinearDim2)
.Case("linear_dim_3", MappingId::LinearDim3)
.Case("linear_dim_4", MappingId::LinearDim4)
.Case("linear_dim_5", MappingId::LinearDim5)
.Case("linear_dim_6", MappingId::LinearDim6)
.Case("linear_dim_7", MappingId::LinearDim7)
.Case("linear_dim_8", MappingId::LinearDim8)
.Case("linear_dim_9", MappingId::LinearDim9)
.Default(::std::nullopt);
}
::std::optional<MappingId> symbolizeMappingId(uint64_t value) {
switch (value) {
case 0: return MappingId::DimX;
case 1: return MappingId::DimY;
case 2: return MappingId::DimZ;
case 3: return MappingId::LinearDim0;
case 4: return MappingId::LinearDim1;
case 5: return MappingId::LinearDim2;
case 6: return MappingId::LinearDim3;
case 7: return MappingId::LinearDim4;
case 8: return MappingId::LinearDim5;
case 9: return MappingId::LinearDim6;
case 10: return MappingId::LinearDim7;
case 11: return MappingId::LinearDim8;
case 12: return MappingId::LinearDim9;
default: return ::std::nullopt;
}
}
bool MappingIdAttr::classof(::mlir::Attribute attr) {
return (((::llvm::isa<::mlir::IntegerAttr>(attr))) && ((::llvm::cast<::mlir::IntegerAttr>(attr).getType().isSignlessInteger(64)))) && (((
::llvm::cast<::mlir::IntegerAttr>(attr).getValue().eq(::llvm::APInt(64, 0)))) || ((
::llvm::cast<::mlir::IntegerAttr>(attr).getValue().eq(::llvm::APInt(64, 1)))) || ((
::llvm::cast<::mlir::IntegerAttr>(attr).getValue().eq(::llvm::APInt(64, 2)))) || ((
::llvm::cast<::mlir::IntegerAttr>(attr).getValue().eq(::llvm::APInt(64, 3)))) || ((
::llvm::cast<::mlir::IntegerAttr>(attr).getValue().eq(::llvm::APInt(64, 4)))) || ((
::llvm::cast<::mlir::IntegerAttr>(attr).getValue().eq(::llvm::APInt(64, 5)))) || ((
::llvm::cast<::mlir::IntegerAttr>(attr).getValue().eq(::llvm::APInt(64, 6)))) || ((
::llvm::cast<::mlir::IntegerAttr>(attr).getValue().eq(::llvm::APInt(64, 7)))) || ((
::llvm::cast<::mlir::IntegerAttr>(attr).getValue().eq(::llvm::APInt(64, 8)))) || ((
::llvm::cast<::mlir::IntegerAttr>(attr).getValue().eq(::llvm::APInt(64, 9)))) || ((
::llvm::cast<::mlir::IntegerAttr>(attr).getValue().eq(::llvm::APInt(64, 10)))) || ((
::llvm::cast<::mlir::IntegerAttr>(attr).getValue().eq(::llvm::APInt(64, 11)))) || ((
::llvm::cast<::mlir::IntegerAttr>(attr).getValue().eq(::llvm::APInt(64, 12)))));
}
MappingIdAttr MappingIdAttr::get(::mlir::MLIRContext *context, MappingId val) {
::mlir::IntegerType intType = ::mlir::IntegerType::get(context, 64);
::mlir::IntegerAttr baseAttr = ::mlir::IntegerAttr::get(intType, static_cast<uint64_t>(val));
return ::llvm::cast<MappingIdAttr>(baseAttr);
}
MappingId MappingIdAttr::getValue() const {
return static_cast<MappingId>(::mlir::IntegerAttr::getValue().getZExtValue());
}
} // namespace mlir::gpu
namespace mlir::gpu {
::llvm::StringRef stringifyProcessor(Processor val) {
switch (val) {
case Processor::BlockX: return "block_x";
case Processor::BlockY: return "block_y";
case Processor::BlockZ: return "block_z";
case Processor::ThreadX: return "thread_x";
case Processor::ThreadY: return "thread_y";
case Processor::ThreadZ: return "thread_z";
case Processor::Sequential: return "sequential";
}
return "";
}
::std::optional<Processor> symbolizeProcessor(::llvm::StringRef str) {
return ::llvm::StringSwitch<::std::optional<Processor>>(str)
.Case("block_x", Processor::BlockX)
.Case("block_y", Processor::BlockY)
.Case("block_z", Processor::BlockZ)
.Case("thread_x", Processor::ThreadX)
.Case("thread_y", Processor::ThreadY)
.Case("thread_z", Processor::ThreadZ)
.Case("sequential", Processor::Sequential)
.Default(::std::nullopt);
}
::std::optional<Processor> symbolizeProcessor(uint64_t value) {
switch (value) {
case 0: return Processor::BlockX;
case 1: return Processor::BlockY;
case 2: return Processor::BlockZ;
case 3: return Processor::ThreadX;
case 4: return Processor::ThreadY;
case 5: return Processor::ThreadZ;
case 6: return Processor::Sequential;
default: return ::std::nullopt;
}
}
bool ProcessorAttr::classof(::mlir::Attribute attr) {
return (((::llvm::isa<::mlir::IntegerAttr>(attr))) && ((::llvm::cast<::mlir::IntegerAttr>(attr).getType().isSignlessInteger(64)))) && (((
::llvm::cast<::mlir::IntegerAttr>(attr).getValue().eq(::llvm::APInt(64, 0)))) || ((
::llvm::cast<::mlir::IntegerAttr>(attr).getValue().eq(::llvm::APInt(64, 1)))) || ((
::llvm::cast<::mlir::IntegerAttr>(attr).getValue().eq(::llvm::APInt(64, 2)))) || ((
::llvm::cast<::mlir::IntegerAttr>(attr).getValue().eq(::llvm::APInt(64, 3)))) || ((
::llvm::cast<::mlir::IntegerAttr>(attr).getValue().eq(::llvm::APInt(64, 4)))) || ((
::llvm::cast<::mlir::IntegerAttr>(attr).getValue().eq(::llvm::APInt(64, 5)))) || ((
::llvm::cast<::mlir::IntegerAttr>(attr).getValue().eq(::llvm::APInt(64, 6)))));
}
ProcessorAttr ProcessorAttr::get(::mlir::MLIRContext *context, Processor val) {
::mlir::IntegerType intType = ::mlir::IntegerType::get(context, 64);
::mlir::IntegerAttr baseAttr = ::mlir::IntegerAttr::get(intType, static_cast<uint64_t>(val));
return ::llvm::cast<ProcessorAttr>(baseAttr);
}
Processor ProcessorAttr::getValue() const {
return static_cast<Processor>(::mlir::IntegerAttr::getValue().getZExtValue());
}
} // namespace mlir::gpu