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gps/tools/local/circt/include/mlir/Dialect/Quant/IR/QuantOps.h.inc
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2026-07-12 11:01:51 +03:00

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/*===- TableGen'erated file -------------------------------------*- C++ -*-===*\
|* *|
|* Op Declarations *|
|* *|
|* Automatically generated file, do not edit! *|
|* From: QuantOps.td *|
|* *|
\*===----------------------------------------------------------------------===*/
namespace mlir::quant {
/// Dequantize cast operation
/// Convert an input quantized value into its expressed floating-point value.
/// The dequantization process consists of the following steps:
///
/// ```
/// def dequantize(quantizedValue: quantizedType) -> expressedType:
/// storedValue = reinterpretCast(quantizedValue, storageType)
/// storedValueFloat = convertIntToFloat(storedValue, expressedType)
/// zeroPointFloat = convertIntToFloat(zeroPoint, expressedType)
/// expressedValue = (storedValueFloat - zeroPointFloat) * scale
/// return expressedValue
/// ```
///
/// Here, `storageType`, `expressedType`, `scale`, and `zeroPoint` are obtained
/// from the corresponding parameters encoded in `quantizedType`. For
/// per-channel quantization, the appropriate `scale` and `zeroPoint` values
/// are used for each tensor element computation according to the channel the
/// element belongs to.
///
/// The numerical results produced by the algorithm above may vary depending on
/// the rounding methods used by `convertIntToFloat()`, subtraction (`-`), and
/// multiplication (`*`). This operation does not define specific rounding
/// methods; instead, it is the responsibility of a transform pipeline to
/// determine which rounding method to apply when this operation is broken down
/// into lower-level dialects.
///
/// The operation must satisfy the following syntactic constraints:
///
/// - Operand `input` must be a scalar or tensor of type `!quant.uniform`.
///
/// - The result type must be a floating-point scalar or tensor.
///
/// - The `expressedType` parameter of the `!quant.uniform` type of the input
/// must match the floating-point type of the result.
///
/// - The operand and result types must be both scalars or both tensors. If
/// tensors, they must be both ranked or both unranked. If ranked, both must
/// have the same shape, including matching static and dynamic dimensions.
///
/// - If the operand uses per-channel quantization, its `!quant.uniform` type
/// must adhere to the [Per-axis quantization
/// integrity](#per-axis-quantization-integrity) guidelines.
///
/// Examples:
///
/// ```
/// // Dequantize a scalar quantized value
/// %result = quant.dcast %input : !quant.uniform<i8:f32, 2.0> to f32
///
/// // Dequantize a dynamically shaped tensor of quantized values
/// %result = quant.dcast %input : tensor<?x!quant.uniform<i8:f32, 2.0>> to tensor<?xf32>
///
/// // Dequantize an unranked tensor using per-axis quantization information
/// %result = quant.dcast %input : tensor<*x!quant.uniform<i8:f32:1, {2.0, 3.0}>> to tensor<*xf32>
/// ```
class DequantizeCastOp;
} // namespace mlir::quant
namespace mlir::quant {
/// Quantize cast operation
/// Convert a floating-point value to a quantized type. The quantization
/// process consists of the following steps:
///
/// ```
/// def quantize(expressedValue: expressedType) -> quantizedType:
/// zeroPointFloat = convertIntToFloat(zeroPoint, expressedType)
/// scaledValue = expressedValue / scale
/// storedValueFloat = scaledValue + zeroPointFloat
/// storedValue = convertFloatToInt(storedValueFloat, storageType)
/// storedValueClamped = clamp(storedValue, storageMin, storageMax)
/// quantizedValue = reinterpretCast(storedValueClamped, quantizedType)
/// return quantizedValue
/// ```
///
/// Here, `storageType`, `storageMin`, `storageMax`, `expressedType`, `scale`,
/// and `zeroPoint` are obtained from the corresponding parameters encoded in
/// `quantizedType`. For per-channel quantization, the appropriate `scale` and
/// `zeroPoint` values are used for each tensor element computation according
/// to the channel the element belongs to.
///
/// The numerical results produced by the algorithm above may vary depending on
/// the rounding methods used by `convertIntToFloat()`, `convertFloatToInt()`,
/// `clamp()`, division (`/`), and addition (`+`). This operation does not
/// define specific rounding methods; instead, it is the responsibility of a
/// transform pipeline to determine which rounding method to apply when this
/// operation is broken down into lower-level dialects.
///
/// The operation must satisfy the following syntactic constraints:
///
/// - Operand `input` must be a floating-point scalar or tensor.
///
/// - The result type must be a scalar or tensor of type `!quant.uniform`.
///
/// - The `expressedType` parameter in the `!quant.uniform` type of the result
/// must match the floating-point type of the input.
///
/// - The operand and result types must be both scalars or both tensors. If
/// tensors, they must be both ranked or both unranked. If ranked, both must
/// have the same shape, including matching static and dynamic dimensions.
///
/// - If the result uses per-channel quantization, its `!quant.uniform` type
/// must adhere to the [Per-axis quantization
/// integrity](#per-axis-quantization-integrity) guidelines.
///
/// Examples:
///
/// ```
/// // Quantize a scalar floating-point value
/// %result = quant.qcast %input : f32 to !quant.uniform<i8:f32, 2.0>
///
/// // Quantize a dynamically shaped tensor of quantized values
/// %result = quant.qcast %input : tensor<?xf32> to tensor<?x!quant.uniform<i8:f32, 2.0>>
///
/// // Quantize an unranked tensor using per-axis quantization information
/// %result = quant.qcast %input : tensor<*xf32> to tensor<*x!quant.uniform<i8:f32:1, {2.0, 3.0}>>
/// ```
class QuantizeCastOp;
} // namespace mlir::quant
namespace mlir::quant {
/// Storage cast operation
/// Convert a value from a quantized type to the corresponding signless integer
/// storage type, or vice versa. This conversion simply involves a
/// reinterpretation of the input bits and does not involve any data
/// manipulation.
///
/// The following syntactic restrictions must be met:
///
/// - Operand `input` must be a scalar or tensor of a signless integer or
/// `!quant.uniform` type.
///
/// - The result must be a scalar or tensor of a signless integer or
/// `!quant.uniform` type.
///
/// - If the operand is a scalar or tensor of type integer, the result must be
/// a scalar or tensor of type `!quant.uniform`, and vice versa.
///
/// - The operand and result must be both scalars or both tensors. If tensors,
/// they must be both ranked or both unranked. If ranked, both must have the
/// same shape, including matching static and dynamic dimensions.
///
/// - The width of the `storageType` parameter of the quantized type of the
/// operand or result must match the width of the signless integer type of
/// the operand or result.
///
/// - If the operand or result uses per-channel quantization, its
/// `!quant.uniform` type must adhere to the [Per-axis quantization
/// integrity](#per-axis-quantization-integrity) guidelines.
///
/// Examples:
///
/// ```
/// // Cast a scalar quantized value into its storage type
/// %result = quant.scast %input : !quant.uniform<i8:f32, 2.0> to i8
///
/// // Cast a dynamically shaped tensor of quantized values into their storage type
/// %result = quant.scast %input : tensor<?x!quant.uniform<i8:f32, 2.0>> to tensor<?xi8>
///
/// // Cast an unranked tensor of signless integers into a quantized type using
/// // per-channel quantization
/// %result = quant.scast %input : tensor<*xi8> to tensor<*x!quant.uniform<i8:f32:1, {2.0, 3.0}>>
/// ```
class StorageCastOp;
} // namespace mlir::quant
#ifdef GET_OP_CLASSES
#undef GET_OP_CLASSES
namespace mlir::quant {
//===----------------------------------------------------------------------===//
// ::mlir::quant::DequantizeCastOp declarations
//===----------------------------------------------------------------------===//
namespace detail {
class DequantizeCastOpGenericAdaptorBase {
public:
using Properties = ::mlir::EmptyProperties;
protected:
::mlir::DictionaryAttr odsAttrs;
::std::optional<::mlir::OperationName> odsOpName;
Properties properties;
::mlir::RegionRange odsRegions;
public:
DequantizeCastOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) { if (odsAttrs)
odsOpName.emplace("quant.dcast", odsAttrs.getContext());
}
DequantizeCastOpGenericAdaptorBase(DequantizeCastOp 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 DequantizeCastOpGenericAdaptor : public detail::DequantizeCastOpGenericAdaptorBase {
using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
using Base = detail::DequantizeCastOpGenericAdaptorBase;
static constexpr int odsIndex_input = 0;
public:
DequantizeCastOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}
DequantizeCastOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::PropertyRef properties, ::mlir::RegionRange regions = {}) : DequantizeCastOpGenericAdaptor(values, attrs, (properties ? *properties.as<Properties *>() : Properties{}), regions) {}
DequantizeCastOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = nullptr) : DequantizeCastOpGenericAdaptor(values, attrs, Properties{}, {}) {}
DequantizeCastOpGenericAdaptor(RangeT values, const DequantizeCastOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}
template <typename LateInst = DequantizeCastOp, typename = std::enable_if_t<std::is_same_v<LateInst, DequantizeCastOp>>>
DequantizeCastOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}
std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
return Base::getODSOperandIndexAndLength(index, odsOperands.size());
}
RangeT getODSOperands(unsigned index) {
auto valueRange = getODSOperandIndexAndLength(index);
return {std::next(odsOperands.begin(), valueRange.first),
std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
}
ValueT getInput() {
return (*getODSOperands(0).begin());
}
RangeT getOperands() {
return odsOperands;
}
private:
RangeT odsOperands;
};
class DequantizeCastOpAdaptor : public DequantizeCastOpGenericAdaptor<::mlir::ValueRange> {
public:
using DequantizeCastOpGenericAdaptor::DequantizeCastOpGenericAdaptor;
DequantizeCastOpAdaptor(DequantizeCastOp op);
::llvm::LogicalResult verify(::mlir::Location loc);
};
class DequantizeCastOp : public ::mlir::Op<DequantizeCastOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::Type>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::OneOperand, ::mlir::OpTrait::OpInvariants, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait> {
public:
using Op::Op;
using Op::print;
using Adaptor = DequantizeCastOpAdaptor;
template <typename RangeT>
using GenericAdaptor = DequantizeCastOpGenericAdaptor<RangeT>;
using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
static constexpr int odsIndex_input = 0;
using Properties = FoldAdaptor::Properties;
static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
return {};
}
static constexpr ::llvm::StringLiteral getOperationName() {
return ::llvm::StringLiteral("quant.dcast");
}
std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
return {index, 1};
}
::mlir::Operation::operand_range getODSOperands(unsigned index) {
auto valueRange = getODSOperandIndexAndLength(index);
return {std::next(getOperation()->operand_begin(), valueRange.first),
std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
}
::mlir::TypedValue<::mlir::Type> getInput() {
return ::llvm::cast<::mlir::TypedValue<::mlir::Type>>(*getODSOperands(0).begin());
}
::mlir::OpOperand &getInputMutable() {
auto range = getODSOperandIndexAndLength(0);
return getOperation()->getOpOperand(range.first);
}
std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
return {index, 1};
}
::mlir::Operation::result_range getODSResults(unsigned index) {
auto valueRange = getODSResultIndexAndLength(index);
return {std::next(getOperation()->result_begin(), valueRange.first),
std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
}
::mlir::TypedValue<::mlir::Type> getResult() {
return ::llvm::cast<::mlir::TypedValue<::mlir::Type>>(*getODSResults(0).begin());
}
static ::llvm::LogicalResult setPropertiesFromAttr(Properties &prop, ::mlir::Attribute attr, ::llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
static ::mlir::Attribute getPropertiesAsAttr(::mlir::MLIRContext *ctx, const Properties &prop);
static llvm::hash_code computePropertiesHash(const Properties &prop);
static std::optional<mlir::Attribute> getInherentAttr(::mlir::MLIRContext *ctx, const Properties &prop, llvm::StringRef name);
static void setInherentAttr(Properties &prop, llvm::StringRef name, mlir::Attribute value);
static void populateInherentAttrs(::mlir::MLIRContext *ctx, const Properties &prop, ::mlir::NamedAttrList &attrs);
static ::llvm::LogicalResult verifyInherentAttrs(::mlir::OperationName opName, ::mlir::NamedAttrList &attrs, llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type result, ::mlir::Value input);
static DequantizeCastOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::Type result, ::mlir::Value input);
static DequantizeCastOp create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::Type result, ::mlir::Value input);
static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input);
static DequantizeCastOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes, ::mlir::Value input);
static DequantizeCastOp create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::TypeRange resultTypes, ::mlir::Value input);
static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
static DequantizeCastOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
static DequantizeCastOp 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 DequantizeCastOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, const Properties &properties, ::llvm::ArrayRef<::mlir::NamedAttribute> discardableAttributes = {});
static DequantizeCastOp 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();
::mlir::OpFoldResult fold(FoldAdaptor adaptor);
static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
void print(::mlir::OpAsmPrinter &_odsPrinter);
void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
/// Return the float type of the scalar or tensor result.
FloatType getFloatType();
/// Return the quantized type of the scalar or tensor input.
quant::QuantizedType getQuantizedType();
};
} // namespace mlir::quant
MLIR_DECLARE_EXPLICIT_TYPE_ID(::mlir::quant::DequantizeCastOp)
namespace mlir::quant {
//===----------------------------------------------------------------------===//
// ::mlir::quant::QuantizeCastOp declarations
//===----------------------------------------------------------------------===//
namespace detail {
class QuantizeCastOpGenericAdaptorBase {
public:
using Properties = ::mlir::EmptyProperties;
protected:
::mlir::DictionaryAttr odsAttrs;
::std::optional<::mlir::OperationName> odsOpName;
Properties properties;
::mlir::RegionRange odsRegions;
public:
QuantizeCastOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) { if (odsAttrs)
odsOpName.emplace("quant.qcast", odsAttrs.getContext());
}
QuantizeCastOpGenericAdaptorBase(QuantizeCastOp 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 QuantizeCastOpGenericAdaptor : public detail::QuantizeCastOpGenericAdaptorBase {
using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
using Base = detail::QuantizeCastOpGenericAdaptorBase;
static constexpr int odsIndex_input = 0;
public:
QuantizeCastOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}
QuantizeCastOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::PropertyRef properties, ::mlir::RegionRange regions = {}) : QuantizeCastOpGenericAdaptor(values, attrs, (properties ? *properties.as<Properties *>() : Properties{}), regions) {}
QuantizeCastOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = nullptr) : QuantizeCastOpGenericAdaptor(values, attrs, Properties{}, {}) {}
QuantizeCastOpGenericAdaptor(RangeT values, const QuantizeCastOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}
template <typename LateInst = QuantizeCastOp, typename = std::enable_if_t<std::is_same_v<LateInst, QuantizeCastOp>>>
QuantizeCastOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}
std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
return Base::getODSOperandIndexAndLength(index, odsOperands.size());
}
RangeT getODSOperands(unsigned index) {
auto valueRange = getODSOperandIndexAndLength(index);
return {std::next(odsOperands.begin(), valueRange.first),
std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
}
ValueT getInput() {
return (*getODSOperands(0).begin());
}
RangeT getOperands() {
return odsOperands;
}
private:
RangeT odsOperands;
};
class QuantizeCastOpAdaptor : public QuantizeCastOpGenericAdaptor<::mlir::ValueRange> {
public:
using QuantizeCastOpGenericAdaptor::QuantizeCastOpGenericAdaptor;
QuantizeCastOpAdaptor(QuantizeCastOp op);
::llvm::LogicalResult verify(::mlir::Location loc);
};
class QuantizeCastOp : public ::mlir::Op<QuantizeCastOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::Type>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::OneOperand, ::mlir::OpTrait::OpInvariants, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait> {
public:
using Op::Op;
using Op::print;
using Adaptor = QuantizeCastOpAdaptor;
template <typename RangeT>
using GenericAdaptor = QuantizeCastOpGenericAdaptor<RangeT>;
using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
static constexpr int odsIndex_input = 0;
using Properties = FoldAdaptor::Properties;
static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
return {};
}
static constexpr ::llvm::StringLiteral getOperationName() {
return ::llvm::StringLiteral("quant.qcast");
}
std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
return {index, 1};
}
::mlir::Operation::operand_range getODSOperands(unsigned index) {
auto valueRange = getODSOperandIndexAndLength(index);
return {std::next(getOperation()->operand_begin(), valueRange.first),
std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
}
::mlir::TypedValue<::mlir::Type> getInput() {
return ::llvm::cast<::mlir::TypedValue<::mlir::Type>>(*getODSOperands(0).begin());
}
::mlir::OpOperand &getInputMutable() {
auto range = getODSOperandIndexAndLength(0);
return getOperation()->getOpOperand(range.first);
}
std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
return {index, 1};
}
::mlir::Operation::result_range getODSResults(unsigned index) {
auto valueRange = getODSResultIndexAndLength(index);
return {std::next(getOperation()->result_begin(), valueRange.first),
std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
}
::mlir::TypedValue<::mlir::Type> getResult() {
return ::llvm::cast<::mlir::TypedValue<::mlir::Type>>(*getODSResults(0).begin());
}
static ::llvm::LogicalResult setPropertiesFromAttr(Properties &prop, ::mlir::Attribute attr, ::llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
static ::mlir::Attribute getPropertiesAsAttr(::mlir::MLIRContext *ctx, const Properties &prop);
static llvm::hash_code computePropertiesHash(const Properties &prop);
static std::optional<mlir::Attribute> getInherentAttr(::mlir::MLIRContext *ctx, const Properties &prop, llvm::StringRef name);
static void setInherentAttr(Properties &prop, llvm::StringRef name, mlir::Attribute value);
static void populateInherentAttrs(::mlir::MLIRContext *ctx, const Properties &prop, ::mlir::NamedAttrList &attrs);
static ::llvm::LogicalResult verifyInherentAttrs(::mlir::OperationName opName, ::mlir::NamedAttrList &attrs, llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type result, ::mlir::Value input);
static QuantizeCastOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::Type result, ::mlir::Value input);
static QuantizeCastOp create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::Type result, ::mlir::Value input);
static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input);
static QuantizeCastOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes, ::mlir::Value input);
static QuantizeCastOp create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::TypeRange resultTypes, ::mlir::Value input);
static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
static QuantizeCastOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
static QuantizeCastOp 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 QuantizeCastOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, const Properties &properties, ::llvm::ArrayRef<::mlir::NamedAttribute> discardableAttributes = {});
static QuantizeCastOp 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();
::mlir::OpFoldResult fold(FoldAdaptor adaptor);
static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
void print(::mlir::OpAsmPrinter &_odsPrinter);
void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
/// Return the float type of the scalar or tensor input.
FloatType getFloatType();
/// Return the quantized type of the scalar or tensor result.
quant::QuantizedType getQuantizedType();
};
} // namespace mlir::quant
MLIR_DECLARE_EXPLICIT_TYPE_ID(::mlir::quant::QuantizeCastOp)
namespace mlir::quant {
//===----------------------------------------------------------------------===//
// ::mlir::quant::StorageCastOp declarations
//===----------------------------------------------------------------------===//
namespace detail {
class StorageCastOpGenericAdaptorBase {
public:
using Properties = ::mlir::EmptyProperties;
protected:
::mlir::DictionaryAttr odsAttrs;
::std::optional<::mlir::OperationName> odsOpName;
Properties properties;
::mlir::RegionRange odsRegions;
public:
StorageCastOpGenericAdaptorBase(::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : odsAttrs(attrs), properties(properties), odsRegions(regions) { if (odsAttrs)
odsOpName.emplace("quant.scast", odsAttrs.getContext());
}
StorageCastOpGenericAdaptorBase(StorageCastOp 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 StorageCastOpGenericAdaptor : public detail::StorageCastOpGenericAdaptorBase {
using ValueT = ::llvm::detail::ValueOfRange<RangeT>;
using Base = detail::StorageCastOpGenericAdaptorBase;
static constexpr int odsIndex_input = 0;
public:
StorageCastOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, const Properties &properties, ::mlir::RegionRange regions = {}) : Base(attrs, properties, regions), odsOperands(values) {}
StorageCastOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs, ::mlir::PropertyRef properties, ::mlir::RegionRange regions = {}) : StorageCastOpGenericAdaptor(values, attrs, (properties ? *properties.as<Properties *>() : Properties{}), regions) {}
StorageCastOpGenericAdaptor(RangeT values, ::mlir::DictionaryAttr attrs = nullptr) : StorageCastOpGenericAdaptor(values, attrs, Properties{}, {}) {}
StorageCastOpGenericAdaptor(RangeT values, const StorageCastOpGenericAdaptorBase &base) : Base(base), odsOperands(values) {}
template <typename LateInst = StorageCastOp, typename = std::enable_if_t<std::is_same_v<LateInst, StorageCastOp>>>
StorageCastOpGenericAdaptor(RangeT values, LateInst op) : Base(op), odsOperands(values) {}
std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
return Base::getODSOperandIndexAndLength(index, odsOperands.size());
}
RangeT getODSOperands(unsigned index) {
auto valueRange = getODSOperandIndexAndLength(index);
return {std::next(odsOperands.begin(), valueRange.first),
std::next(odsOperands.begin(), valueRange.first + valueRange.second)};
}
ValueT getInput() {
return (*getODSOperands(0).begin());
}
RangeT getOperands() {
return odsOperands;
}
private:
RangeT odsOperands;
};
class StorageCastOpAdaptor : public StorageCastOpGenericAdaptor<::mlir::ValueRange> {
public:
using StorageCastOpGenericAdaptor::StorageCastOpGenericAdaptor;
StorageCastOpAdaptor(StorageCastOp op);
::llvm::LogicalResult verify(::mlir::Location loc);
};
class StorageCastOp : public ::mlir::Op<StorageCastOp, ::mlir::OpTrait::ZeroRegions, ::mlir::OpTrait::OneResult, ::mlir::OpTrait::OneTypedResult<::mlir::Type>::Impl, ::mlir::OpTrait::ZeroSuccessors, ::mlir::OpTrait::OneOperand, ::mlir::OpTrait::OpInvariants, ::mlir::ConditionallySpeculatable::Trait, ::mlir::OpTrait::AlwaysSpeculatableImplTrait, ::mlir::MemoryEffectOpInterface::Trait> {
public:
using Op::Op;
using Op::print;
using Adaptor = StorageCastOpAdaptor;
template <typename RangeT>
using GenericAdaptor = StorageCastOpGenericAdaptor<RangeT>;
using FoldAdaptor = GenericAdaptor<::llvm::ArrayRef<::mlir::Attribute>>;
static constexpr int odsIndex_input = 0;
using Properties = FoldAdaptor::Properties;
static ::llvm::ArrayRef<::llvm::StringRef> getAttributeNames() {
return {};
}
static constexpr ::llvm::StringLiteral getOperationName() {
return ::llvm::StringLiteral("quant.scast");
}
std::pair<unsigned, unsigned> getODSOperandIndexAndLength(unsigned index) {
return {index, 1};
}
::mlir::Operation::operand_range getODSOperands(unsigned index) {
auto valueRange = getODSOperandIndexAndLength(index);
return {std::next(getOperation()->operand_begin(), valueRange.first),
std::next(getOperation()->operand_begin(), valueRange.first + valueRange.second)};
}
::mlir::TypedValue<::mlir::Type> getInput() {
return ::llvm::cast<::mlir::TypedValue<::mlir::Type>>(*getODSOperands(0).begin());
}
::mlir::OpOperand &getInputMutable() {
auto range = getODSOperandIndexAndLength(0);
return getOperation()->getOpOperand(range.first);
}
std::pair<unsigned, unsigned> getODSResultIndexAndLength(unsigned index) {
return {index, 1};
}
::mlir::Operation::result_range getODSResults(unsigned index) {
auto valueRange = getODSResultIndexAndLength(index);
return {std::next(getOperation()->result_begin(), valueRange.first),
std::next(getOperation()->result_begin(), valueRange.first + valueRange.second)};
}
::mlir::TypedValue<::mlir::Type> getResult() {
return ::llvm::cast<::mlir::TypedValue<::mlir::Type>>(*getODSResults(0).begin());
}
static ::llvm::LogicalResult setPropertiesFromAttr(Properties &prop, ::mlir::Attribute attr, ::llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
static ::mlir::Attribute getPropertiesAsAttr(::mlir::MLIRContext *ctx, const Properties &prop);
static llvm::hash_code computePropertiesHash(const Properties &prop);
static std::optional<mlir::Attribute> getInherentAttr(::mlir::MLIRContext *ctx, const Properties &prop, llvm::StringRef name);
static void setInherentAttr(Properties &prop, llvm::StringRef name, mlir::Attribute value);
static void populateInherentAttrs(::mlir::MLIRContext *ctx, const Properties &prop, ::mlir::NamedAttrList &attrs);
static ::llvm::LogicalResult verifyInherentAttrs(::mlir::OperationName opName, ::mlir::NamedAttrList &attrs, llvm::function_ref<::mlir::InFlightDiagnostic()> emitError);
static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::Type result, ::mlir::Value input);
static StorageCastOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::Type result, ::mlir::Value input);
static StorageCastOp create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::Type result, ::mlir::Value input);
static void build(::mlir::OpBuilder &odsBuilder, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::Value input);
static StorageCastOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes, ::mlir::Value input);
static StorageCastOp create(::mlir::ImplicitLocOpBuilder &builder, ::mlir::TypeRange resultTypes, ::mlir::Value input);
static void build(::mlir::OpBuilder &, ::mlir::OperationState &odsState, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
static StorageCastOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, ::llvm::ArrayRef<::mlir::NamedAttribute> attributes = {});
static StorageCastOp 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 StorageCastOp create(::mlir::OpBuilder &builder, ::mlir::Location location, ::mlir::TypeRange resultTypes, ::mlir::ValueRange operands, const Properties &properties, ::llvm::ArrayRef<::mlir::NamedAttribute> discardableAttributes = {});
static StorageCastOp 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();
::mlir::OpFoldResult fold(FoldAdaptor adaptor);
static ::mlir::ParseResult parse(::mlir::OpAsmParser &parser, ::mlir::OperationState &result);
void print(::mlir::OpAsmPrinter &_odsPrinter);
void getEffects(::llvm::SmallVectorImpl<::mlir::SideEffects::EffectInstance<::mlir::MemoryEffects::Effect>> &effects);
public:
/// Return the integer type used either in the input or the result.
IntegerType getIntegerType();
/// Return the quantized type used either in the input or the result.
quant::QuantizedType getQuantizedType();
};
} // namespace mlir::quant
MLIR_DECLARE_EXPLICIT_TYPE_ID(::mlir::quant::StorageCastOp)
#endif // GET_OP_CLASSES