#include <cstdint>
#include <cstring>
#include <string>
#include <type_traits>
#include <map>
#include <unordered_map>
#include "core/common/gsl.h"
#include "core/common/common.h"
#include "core/common/exceptions.h"
#include "core/framework/endian.h"
#include "core/framework/float16.h"
#include "core/framework/to_tensor_proto_element_type.h"
#include "onnx/defs/schema.h"
#include "onnx/onnx_pb.h"
#include "onnx/onnx-operators_pb.h"

Include dependency graph for data_types.h:

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Go to the source code of this file.

Classes
class	onnxruntime::DataTypeImpl
	Base class for MLDataType. More...

struct	onnxruntime::data_types_internal::IsAnyOf< T, Types >

struct	onnxruntime::data_types_internal::IsAnyOf< T, Tail >
	Two types remaining, end of the list. More...

struct	onnxruntime::data_types_internal::IsAnyOf< T, H, Tail...>

struct	onnxruntime::data_types_internal::IsTensorContainedType< T >

struct	onnxruntime::data_types_internal::IsSparseTensorContainedType< T >

struct	onnxruntime::data_types_internal::IsOptionalOrtType< T >

struct	onnxruntime::data_types_internal::GetMLDataType< T, TensorContainedType >

struct	onnxruntime::data_types_internal::GetMLDataType< T, true >

struct	onnxruntime::data_types_internal::GetMLDataType< T, false >

struct	onnxruntime::data_types_internal::TensorTypeHelper

struct	onnxruntime::data_types_internal::SparseTensorTypeHelper

struct	onnxruntime::data_types_internal::MapTypeHelper

struct	onnxruntime::data_types_internal::SequenceTypeHelper

struct	onnxruntime::data_types_internal::OptionalTypeHelper

class	onnxruntime::TensorTypeBase
	All tensors base. More...

class	onnxruntime::TensorType< elemT >
	Tensor type. This type does not have a C++ type associated with it at registration time except the element type. One of the types mentioned above at IsTensorContainedType<> list is acceptable. More...

class	onnxruntime::SparseTensorTypeBase
	Common base-class for all sparse-tensors (with different element types). More...

class	onnxruntime::SparseTensorType< elemT >

class	onnxruntime::OptionalTypeBase
	Common base-class for all optional types. More...

class	onnxruntime::OptionalType< T, elemT >

struct	onnxruntime::NonTensorTypeConverter< T >
	Provide a specialization for your C++ Non-tensor type so your implementation FromDataTypeContainer/ToDataTypeContainer functions correctly. Otherwise you get a default implementation which may not be what you need/want. More...

class	onnxruntime::NonTensorTypeBase
	Base type for all non-tensors, maps, sequences and opaques. More...

class	onnxruntime::NonTensorType< T >

class	onnxruntime::MapType< CPPType >
	MapType. Use this type to register mapping types. More...

class	onnxruntime::SequenceType< CPPType >
	SequenceType. Use to register sequence for non-tensor types. More...

class	onnxruntime::SequenceTensorTypeBase
	SequenceTensorTypeBase serves as a base type class for Tensor sequences. Akin to TensorTypeBase. Runtime representation is always TensorSeq. More...

class	onnxruntime::SequenceTensorType< TensorElemType >
	SequenceTensorType. Use to register sequence for non-tensor types. More...

class	onnxruntime::OpaqueType< T, D, N >
	OpaqueType. More...

class	onnxruntime::PrimitiveDataTypeBase
	PrimitiveDataTypeBase Base class for primitive Tensor contained types. More...

class	onnxruntime::PrimitiveDataType< T >
	PrimitiveDataType Typed specialization for primitive types. Concrete instances of this class are used by Tensor. More...

Namespaces
	ONNX_NAMESPACE

	onnxruntime

	onnxruntime::data_types_internal

Macros
#define	ORT_REGISTER_TENSOR_TYPE(ELEM_TYPE)

#define	ORT_REGISTER_SPARSE_TENSOR_TYPE(ELEM_TYPE)

#define	ORT_REGISTER_OPTIONAL_TYPE(ORT_TYPE, TYPE)

#define	ORT_REGISTER_MAP(TYPE)

#define	ORT_REGISTER_SEQ(TYPE)

#define	ORT_REGISTER_SEQ_TENSOR_TYPE(ELEM_TYPE)

#define	ORT_REGISTER_PRIM_TYPE(TYPE)

#define	ORT_REGISTER_OPAQUE_TYPE(CPPType, Domain, Name)

Typedefs
using	onnxruntime::MapStringToString = std::map< std::string, std::string >
	Predefined registered types. More...

using	onnxruntime::MapStringToInt64 = std::map< std::string, int64_t >

using	onnxruntime::MapStringToFloat = std::map< std::string, float >

using	onnxruntime::MapStringToDouble = std::map< std::string, double >

using	onnxruntime::MapInt64ToString = std::map< int64_t, std::string >

using	onnxruntime::MapInt64ToInt64 = std::map< int64_t, int64_t >

using	onnxruntime::MapInt64ToFloat = std::map< int64_t, float >

using	onnxruntime::MapInt64ToDouble = std::map< int64_t, double >

using	onnxruntime::VectorMapStringToFloat = std::vector< MapStringToFloat >

using	onnxruntime::VectorMapInt64ToFloat = std::vector< MapInt64ToFloat >

using	onnxruntime::VectorString = std::vector< std::string >

using	onnxruntime::VectorInt64 = std::vector< int64_t >

using	onnxruntime::MLDataType = const DataTypeImpl *

using	onnxruntime::DeleteFunc = void()(void )

using	onnxruntime::CreateFunc ) = void ()(

Functions
std::ostream &	onnxruntime::operator<< (std::ostream &out, MLDataType data_type)

void	onnxruntime::data_types_internal::CopyMutableMapValue (const ONNX_NAMESPACE::TypeProto &, ONNX_NAMESPACE::TypeProto &)
	Map helpers. More...

void	onnxruntime::data_types_internal::CopyMutableSeqElement (const ONNX_NAMESPACE::TypeProto &, ONNX_NAMESPACE::TypeProto &)
	Sequence helpers. More...

void	onnxruntime::data_types_internal::CopyMutableOptionalElement (const ONNX_NAMESPACE::TypeProto &, ONNX_NAMESPACE::TypeProto &)
	Optional helpers. More...

void	onnxruntime::data_types_internal::AssignOpaqueDomainName (const char domain, const char name, ONNX_NAMESPACE::TypeProto &proto)
	OpaqueTypes helpers. More...

Macro Definition Documentation

#define ORT_REGISTER_MAP ( TYPE )

Value:

template <>                                \
  MLDataType MapType<TYPE>::Type() {         \
    static MapType<TYPE> map_type;           \
    return &map_type;                        \
  }                                          \
  template <>                                \
  MLDataType DataTypeImpl::GetType<TYPE>() { \
    return MapType<TYPE>::Type();            \
  }

Definition at line 1007 of file data_types.h.

#define ORT_REGISTER_OPAQUE_TYPE	(	CPPType,
		Domain,
		Name
	)

Value:

template <>                                             \
  MLDataType OpaqueType<CPPType, Domain, Name>::Type() {  \
    static OpaqueType<CPPType, Domain, Name> opaque_type; \
    return &opaque_type;                                  \
  }                                                       \
  template <>                                             \
  MLDataType DataTypeImpl::GetType<CPPType>() {           \
    return OpaqueType<CPPType, Domain, Name>::Type();     \
  }

Definition at line 1052 of file data_types.h.

#define ORT_REGISTER_OPTIONAL_TYPE	(	ORT_TYPE,
		TYPE
	)

Value:

template <>                                                  \
  MLDataType OptionalType<ORT_TYPE, TYPE>::Type() {            \
    static OptionalType<ORT_TYPE, TYPE> optional_type;         \
    return &optional_type;                                     \
  }                                                            \
  template <>                                                  \
  MLDataType DataTypeImpl::GetOptionalType<ORT_TYPE, TYPE>() { \
    return OptionalType<ORT_TYPE, TYPE>::Type();               \
  }

Definition at line 995 of file data_types.h.

#define ORT_REGISTER_PRIM_TYPE ( TYPE )

Value:

template <>                                      \
  MLDataType PrimitiveDataType<TYPE>::Type() {     \
    static PrimitiveDataType<TYPE> prim_data_type; \
    return &prim_data_type;                        \
  }                                                \
  template <>                                      \
  MLDataType DataTypeImpl::GetType<TYPE>() {       \
    return PrimitiveDataType<TYPE>::Type();        \
  }

Definition at line 1041 of file data_types.h.

#define ORT_REGISTER_SEQ ( TYPE )

Value:

template <>                                \
  MLDataType SequenceType<TYPE>::Type() {    \
    static SequenceType<TYPE> sequence_type; \
    return &sequence_type;                   \
  }                                          \
  template <>                                \
  MLDataType DataTypeImpl::GetType<TYPE>() { \
    return SequenceType<TYPE>::Type();       \
  }

Definition at line 1019 of file data_types.h.

#define ORT_REGISTER_SEQ_TENSOR_TYPE ( ELEM_TYPE )

Value:

template <>                                                   \
  MLDataType SequenceTensorType<ELEM_TYPE>::Type() {            \
    static SequenceTensorType<ELEM_TYPE> sequence_tensor_type;  \
    return &sequence_tensor_type;                               \
  }                                                             \
  template <>                                                   \
  MLDataType DataTypeImpl::GetSequenceTensorType<ELEM_TYPE>() { \
    return SequenceTensorType<ELEM_TYPE>::Type();               \
  }

Definition at line 1030 of file data_types.h.

#define ORT_REGISTER_SPARSE_TENSOR_TYPE ( ELEM_TYPE )

Value:

template <>                                                 \
  MLDataType SparseTensorType<ELEM_TYPE>::Type() {            \
    static SparseTensorType<ELEM_TYPE> tensor_type;           \
    return &tensor_type;                                      \
  }                                                           \
  template <>                                                 \
  MLDataType DataTypeImpl::GetSparseTensorType<ELEM_TYPE>() { \
    return SparseTensorType<ELEM_TYPE>::Type();               \
  }

Definition at line 983 of file data_types.h.

#define ORT_REGISTER_TENSOR_TYPE ( ELEM_TYPE )

Value:

template <>                                           \
  MLDataType TensorType<ELEM_TYPE>::Type() {            \
    static TensorType<ELEM_TYPE> tensor_type;           \
    return &tensor_type;                                \
  }                                                     \
  template <>                                           \
  MLDataType DataTypeImpl::GetTensorType<ELEM_TYPE>() { \
    return TensorType<ELEM_TYPE>::Type();               \
  }

Definition at line 971 of file data_types.h.

Classes

Namespaces

Macros

Typedefs

Functions

Macro Definition Documentation