onnxruntime_c_api.h

// Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.

// See docs\c_cxx\README.md on generating the Doxygen documentation from this file

/** \mainpage C & C++ APIs
*
* <h1>C</h1>
*
* ::OrtApi - Click here to go to the structure with all C API functions.
*
* <h1>C++</h1>
*
* ::Ort - Click here to go to the namespace holding all of the C++ wrapper classes
*
* It is a set of header only wrapper classes around the C API. The goal is to turn the C style return value error codes into C++ exceptions, and to
* automate memory management through standard C++ RAII principles.
*
* \addtogroup Global
* ONNX Runtime C API
* @{
*/

#pragma once
#include <stdlib.h>
#include <stdint.h>
#include <string.h>

/** \brief The API version defined in this header
*
* This value is used by some API functions to behave as this version of the header expects.
*/
#define ORT_API_VERSION 12

#ifdef __cplusplus
extern "C" {
#endif

//! @}
// SAL2 Definitions
#ifndef _WIN32
#define _In_
#define _In_z_
#define _In_opt_
#define _In_opt_z_
#define _Out_
#define _Outptr_
#define _Out_opt_
#define _Inout_
#define _Inout_opt_
#define _Frees_ptr_opt_
#define _Ret_maybenull_
#define _Ret_notnull_
#define _Check_return_
#define _Outptr_result_maybenull_
#define _In_reads_(X)
#define _Inout_updates_all_(X)
#define _Out_writes_bytes_all_(X)
#define _Out_writes_all_(X)
#define _Success_(X)
#define _Outptr_result_buffer_maybenull_(X)
#define ORT_ALL_ARGS_NONNULL __attribute__((nonnull))
#else
#include <specstrings.h>
#define ORT_ALL_ARGS_NONNULL
#endif

#ifdef _WIN32
// Define ORT_DLL_IMPORT if your program is dynamically linked to Ort.
// dllexport is not used, we use a .def file.
#ifdef ORT_DLL_IMPORT
#define ORT_EXPORT __declspec(dllimport)
#else
#define ORT_EXPORT
#endif
#define ORT_API_CALL _stdcall
#define ORT_MUST_USE_RESULT
#define ORTCHAR_T wchar_t
#else
// To make symbols visible on macOS/iOS
#ifdef __APPLE__
#define ORT_EXPORT __attribute__((visibility("default")))
#else
#define ORT_EXPORT
#endif
#define ORT_API_CALL
#define ORT_MUST_USE_RESULT __attribute__((warn_unused_result))
#define ORTCHAR_T char
#endif

#ifndef ORT_TSTR
#ifdef _WIN32
#define ORT_TSTR(X) L##X
#else
#define ORT_TSTR(X) X
#endif
#endif

// Any pointer marked with _In_ or _Out_, cannot be NULL.

// Windows users should use unicode paths when possible to bypass the MAX_PATH limitation
// Every pointer marked with _In_ or _Out_, cannot be NULL. Caller should ensure that.
// for ReleaseXXX(...) functions, they can accept NULL pointer.

#ifdef __cplusplus
// For any compiler with C++11 support, MSVC 2015 and greater, or Clang version supporting noexcept.
// Such complex condition is needed because compilers set __cplusplus value differently.
#ifndef __has_feature
#define __has_feature(x) 0
#endif
#if ((__cplusplus >= 201103L) || (_MSC_VER >= 1900) || (defined(__has_feature) && __has_feature(cxx_noexcept)))
#define NO_EXCEPTION noexcept
#else
#define NO_EXCEPTION throw()
#endif
#else
#define NO_EXCEPTION
#endif

// __VA_ARGS__ on Windows and Linux are different
#define ORT_API(RETURN_TYPE, NAME, ...) RETURN_TYPE ORT_API_CALL NAME(__VA_ARGS__) NO_EXCEPTION

#define ORT_API_STATUS(NAME, ...) \
  _Success_(return == 0) _Check_return_ _Ret_maybenull_ OrtStatusPtr ORT_API_CALL NAME(__VA_ARGS__) NO_EXCEPTION ORT_MUST_USE_RESULT

// XXX: Unfortunately, SAL annotations are known to not work with function pointers
#define ORT_API2_STATUS(NAME, ...) \
  _Check_return_ _Ret_maybenull_ OrtStatusPtr(ORT_API_CALL* NAME)(__VA_ARGS__) NO_EXCEPTION ORT_MUST_USE_RESULT

// Used in *.cc files. Almost as same as ORT_API_STATUS, except without ORT_MUST_USE_RESULT and ORT_EXPORT
#define ORT_API_STATUS_IMPL(NAME, ...) \
  GSL_SUPPRESS(r .11)                  \
  _Success_(return == 0) _Check_return_ _Ret_maybenull_ OrtStatusPtr ORT_API_CALL NAME(__VA_ARGS__) NO_EXCEPTION

#define ORT_CLASS_RELEASE(X) void(ORT_API_CALL * Release##X)(_Frees_ptr_opt_ Ort##X * input)

#ifdef __DOXYGEN__
#undef ORT_API_STATUS
#define ORT_API_STATUS(NAME, ...) OrtStatus* NAME(__VA_ARGS__)
#undef ORT_API2_STATUS
#define ORT_API2_STATUS(NAME, ...) OrtStatus* NAME(__VA_ARGS__)
#undef ORT_CLASS_RELEASE
#define ORT_CLASS_RELEASE(X) void Release##X(Ort##X* input)
#undef NO_EXCEPTION
#define NO_EXCEPTION
#endif
/** \addtogroup Global
 * ONNX Runtime C API
 * @{
 */

/** Copied from TensorProto::DataType
* Currently, Ort doesn't support complex64, complex128
*/
typedef enum ONNXTensorElementDataType {
  ONNX_TENSOR_ELEMENT_DATA_TYPE_UNDEFINED,
  ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT,   // maps to c type float
  ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT8,   // maps to c type uint8_t
  ONNX_TENSOR_ELEMENT_DATA_TYPE_INT8,    // maps to c type int8_t
  ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT16,  // maps to c type uint16_t
  ONNX_TENSOR_ELEMENT_DATA_TYPE_INT16,   // maps to c type int16_t
  ONNX_TENSOR_ELEMENT_DATA_TYPE_INT32,   // maps to c type int32_t
  ONNX_TENSOR_ELEMENT_DATA_TYPE_INT64,   // maps to c type int64_t
  ONNX_TENSOR_ELEMENT_DATA_TYPE_STRING,  // maps to c++ type std::string
  ONNX_TENSOR_ELEMENT_DATA_TYPE_BOOL,
  ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT16,
  ONNX_TENSOR_ELEMENT_DATA_TYPE_DOUBLE,      // maps to c type double
  ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT32,      // maps to c type uint32_t
  ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT64,      // maps to c type uint64_t
  ONNX_TENSOR_ELEMENT_DATA_TYPE_COMPLEX64,   // complex with float32 real and imaginary components
  ONNX_TENSOR_ELEMENT_DATA_TYPE_COMPLEX128,  // complex with float64 real and imaginary components
  ONNX_TENSOR_ELEMENT_DATA_TYPE_BFLOAT16     // Non-IEEE floating-point format based on IEEE754 single-precision
} ONNXTensorElementDataType;

// Synced with onnx TypeProto oneof
typedef enum ONNXType {
  ONNX_TYPE_UNKNOWN,
  ONNX_TYPE_TENSOR,
  ONNX_TYPE_SEQUENCE,
  ONNX_TYPE_MAP,
  ONNX_TYPE_OPAQUE,
  ONNX_TYPE_SPARSETENSOR,
  ONNX_TYPE_OPTIONAL
} ONNXType;

// These types are synced with internal
// SparseFormatFlags
typedef enum OrtSparseFormat {
  ORT_SPARSE_UNDEFINED = 0,
  ORT_SPARSE_COO = 0x1,
  ORT_SPARSE_CSRC = 0x2,
  ORT_SPARSE_BLOCK_SPARSE = 0x4
} OrtSparseFormat;

// Enum allows to query sparse tensor indices
enum OrtSparseIndicesFormat {
  ORT_SPARSE_COO_INDICES,
  ORT_SPARSE_CSR_INNER_INDICES,
  ORT_SPARSE_CSR_OUTER_INDICES,
  ORT_SPARSE_BLOCK_SPARSE_INDICES
};

/** \brief Logging severity levels
 *
 * In typical API usage, specifying a logging severity level specifies the minimum severity of log messages to show.
 */
typedef enum OrtLoggingLevel {
  ORT_LOGGING_LEVEL_VERBOSE,  ///< Verbose informational messages (least severe).
  ORT_LOGGING_LEVEL_INFO,     ///< Informational messages.
  ORT_LOGGING_LEVEL_WARNING,  ///< Warning messages.
  ORT_LOGGING_LEVEL_ERROR,    ///< Error messages.
  ORT_LOGGING_LEVEL_FATAL,    ///< Fatal error messages (most severe).
} OrtLoggingLevel;

typedef enum OrtErrorCode {
  ORT_OK,
  ORT_FAIL,
  ORT_INVALID_ARGUMENT,
  ORT_NO_SUCHFILE,
  ORT_NO_MODEL,
  ORT_ENGINE_ERROR,
  ORT_RUNTIME_EXCEPTION,
  ORT_INVALID_PROTOBUF,
  ORT_MODEL_LOADED,
  ORT_NOT_IMPLEMENTED,
  ORT_INVALID_GRAPH,
  ORT_EP_FAIL,
} OrtErrorCode;

//! @}
#define ORT_RUNTIME_CLASS(X) \
  struct Ort##X;             \
  typedef struct Ort##X Ort##X;

/** \addtogroup Global
 * ONNX Runtime C API
 * @{
 */
// The actual types defined have an Ort prefix
ORT_RUNTIME_CLASS(Env);
ORT_RUNTIME_CLASS(Status);  // nullptr for Status* indicates success
ORT_RUNTIME_CLASS(MemoryInfo);
ORT_RUNTIME_CLASS(IoBinding);
ORT_RUNTIME_CLASS(Session);  //Don't call ReleaseSession from Dllmain (because session owns a thread pool)
ORT_RUNTIME_CLASS(Value);
ORT_RUNTIME_CLASS(RunOptions);
ORT_RUNTIME_CLASS(TypeInfo);
ORT_RUNTIME_CLASS(TensorTypeAndShapeInfo);
ORT_RUNTIME_CLASS(SessionOptions);
ORT_RUNTIME_CLASS(CustomOpDomain);
ORT_RUNTIME_CLASS(MapTypeInfo);
ORT_RUNTIME_CLASS(SequenceTypeInfo);
ORT_RUNTIME_CLASS(ModelMetadata);
ORT_RUNTIME_CLASS(ThreadPoolParams);
ORT_RUNTIME_CLASS(ThreadingOptions);
ORT_RUNTIME_CLASS(ArenaCfg);
ORT_RUNTIME_CLASS(PrepackedWeightsContainer);
ORT_RUNTIME_CLASS(TensorRTProviderOptionsV2);
ORT_RUNTIME_CLASS(CUDAProviderOptionsV2);

#ifdef _WIN32
typedef _Return_type_success_(return == 0) OrtStatus* OrtStatusPtr;
#else
typedef OrtStatus* OrtStatusPtr;
#endif

/** \brief Memory allocation interface
*
* Structure of function pointers that defines a memory allocator. This can be created and filled in by the user for custom allocators.
*
* When an allocator is passed to any function, be sure that the allocator object is not destroyed until the last allocated object using it is freed.
*/
typedef struct OrtAllocator {
  uint32_t version;                                                                   ///< Must be initialized to ORT_API_VERSION
  void*(ORT_API_CALL* Alloc)(struct OrtAllocator* this_, size_t size);                ///< Returns a pointer to an allocated block of `size` bytes
  void(ORT_API_CALL* Free)(struct OrtAllocator* this_, void* p);                      ///< Free a block of memory previously allocated with OrtAllocator::Alloc
  const struct OrtMemoryInfo*(ORT_API_CALL* Info)(const struct OrtAllocator* this_);  ///< Return a pointer to an ::OrtMemoryInfo that describes this allocator
} OrtAllocator;

typedef void(ORT_API_CALL* OrtLoggingFunction)(
    void* param, OrtLoggingLevel severity, const char* category, const char* logid, const char* code_location,
    const char* message);

/** \brief Graph optimization level
*
* Refer to https://www.onnxruntime.ai/docs/resources/graph-optimizations.html
* for an in-depth understanding of Graph Optimizations
*/
typedef enum GraphOptimizationLevel {
  ORT_DISABLE_ALL = 0,
  ORT_ENABLE_BASIC = 1,
  ORT_ENABLE_EXTENDED = 2,
  ORT_ENABLE_ALL = 99
} GraphOptimizationLevel;

typedef enum ExecutionMode {
  ORT_SEQUENTIAL = 0,
  ORT_PARALLEL = 1,
} ExecutionMode;

/** \brief Language projection identifiers
* /see OrtApi::SetLanguageProjection
*/
typedef enum OrtLanguageProjection {
  ORT_PROJECTION_C = 0,
  ORT_PROJECTION_CPLUSPLUS = 1,
  ORT_PROJECTION_CSHARP = 2,
  ORT_PROJECTION_PYTHON = 3,
  ORT_PROJECTION_JAVA = 4,
  ORT_PROJECTION_WINML = 5,
  ORT_PROJECTION_NODEJS = 6,
} OrtLanguageProjection;

struct OrtKernelInfo;
typedef struct OrtKernelInfo OrtKernelInfo;
struct OrtKernelContext;
typedef struct OrtKernelContext OrtKernelContext;
struct OrtCustomOp;
typedef struct OrtCustomOp OrtCustomOp;

typedef enum OrtAllocatorType {
  OrtInvalidAllocator = -1,
  OrtDeviceAllocator = 0,
  OrtArenaAllocator = 1
} OrtAllocatorType;

/** \brief Memory types for allocated memory, execution provider specific types should be extended in each provider.
*/
// Whenever this struct is updated, please also update the MakeKey function in onnxruntime / core / framework / execution_provider.cc
typedef enum OrtMemType {
  OrtMemTypeCPUInput = -2,              ///< Any CPU memory used by non-CPU execution provider
  OrtMemTypeCPUOutput = -1,             ///< CPU accessible memory outputted by non-CPU execution provider, i.e. CUDA_PINNED
  OrtMemTypeCPU = OrtMemTypeCPUOutput,  ///< Temporary CPU accessible memory allocated by non-CPU execution provider, i.e. CUDA_PINNED
  OrtMemTypeDefault = 0,                ///< The default allocator for execution provider
} OrtMemType;

/** \brief Algorithm to use for cuDNN Convolution Op
*/
typedef enum OrtCudnnConvAlgoSearch {
  OrtCudnnConvAlgoSearchExhaustive,  // expensive exhaustive benchmarking using cudnnFindConvolutionForwardAlgorithmEx
  OrtCudnnConvAlgoSearchHeuristic,   // lightweight heuristic based search using cudnnGetConvolutionForwardAlgorithm_v7
  OrtCudnnConvAlgoSearchDefault,     // default algorithm using CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM
} OrtCudnnConvAlgoSearch;

/** \brief CUDA Provider Options
*
* \see OrtApi::SessionOptionsAppendExecutionProvider_CUDA
*/
typedef struct OrtCUDAProviderOptions {
#ifdef __cplusplus
  OrtCUDAProviderOptions() : device_id{}, cudnn_conv_algo_search{OrtCudnnConvAlgoSearchExhaustive}, gpu_mem_limit{SIZE_MAX}, arena_extend_strategy{}, do_copy_in_default_stream{1}, has_user_compute_stream{}, user_compute_stream{}, default_memory_arena_cfg{} {}
#endif

  /** \brief CUDA device Id
  *   Defaults to 0.
  */
  int device_id;

  /** \brief CUDA Convolution algorithm search configuration.
  *   See enum OrtCudnnConvAlgoSearch for more details.
  *   Defaults to OrtCudnnConvAlgoSearchExhaustive.
  */
  OrtCudnnConvAlgoSearch cudnn_conv_algo_search;

  /** \brief CUDA memory limit (To use all possible memory pass in maximum size_t)
  *   Defaults to SIZE_MAX.
  *   \note If a ::OrtArenaCfg has been applied, it will override this field
  */
  size_t gpu_mem_limit;

  /** \brief Strategy used to grow the memory arena
  *   0 = kNextPowerOfTwo<br>
  *   1 = kSameAsRequested<br>
  *   Defaults to 0.
  *   \note If a ::OrtArenaCfg has been applied, it will override this field
  */
  int arena_extend_strategy;

  /** \brief Flag indicating if copying needs to take place on the same stream as the compute stream in the CUDA EP
  *   0 = Use separate streams for copying and compute.
  *   1 = Use the same stream for copying and compute.
  *   Defaults to 1.
  *   WARNING: Setting this to 0 may result in data races for some models.
  *   Please see issue #4829 for more details.
  */
  int do_copy_in_default_stream;

  /** \brief Flag indicating if there is a user provided compute stream
  *   Defaults to 0.
  */
  int has_user_compute_stream;

  /** \brief User provided compute stream.
  *   If provided, please set `has_user_compute_stream` to 1.
  */
  void* user_compute_stream;

  /** \brief CUDA memory arena configuration parameters
  */
  OrtArenaCfg* default_memory_arena_cfg;

} OrtCUDAProviderOptions;

/** \brief ROCM Provider Options
*
* \see OrtApi::SessionOptionsAppendExecutionProvider_ROCM
*/
typedef struct OrtROCMProviderOptions {
#ifdef __cplusplus
  OrtROCMProviderOptions() : device_id{}, miopen_conv_exhaustive_search{0}, gpu_mem_limit{SIZE_MAX}, arena_extend_strategy{}, do_copy_in_default_stream{1}, has_user_compute_stream{}, user_compute_stream{}, default_memory_arena_cfg{} {}
#endif

  /** \brief ROCM device Id
  *   Defaults to 0.
  */
  int device_id;

  /** \brief ROCM MIOpen Convolution algorithm exaustive search option.
  *   Defaults to 0 (false).
  */
  int miopen_conv_exhaustive_search;

  /** \brief ROCM memory limit (To use all possible memory pass in maximum size_t)
  *   Defaults to SIZE_MAX.
  *   \note If a ::OrtArenaCfg has been applied, it will override this field
  */
  size_t gpu_mem_limit;

  /** \brief Strategy used to grow the memory arena
  *   0 = kNextPowerOfTwo<br>
  *   1 = kSameAsRequested<br>
  *   Defaults to 0.
  *   \note If a ::OrtArenaCfg has been applied, it will override this field
  */
  int arena_extend_strategy;

  /** \brief Flag indicating if copying needs to take place on the same stream as the compute stream in the ROCM EP
  *   0 = Use separate streams for copying and compute.
  *   1 = Use the same stream for copying and compute.
  *   Defaults to 1.
  *   WARNING: Setting this to 0 may result in data races for some models.
  *   Please see issue #4829 for more details.
  */
  int do_copy_in_default_stream;

  /** \brief Flag indicating if there is a user provided compute stream
  *   Defaults to 0.
  */
  int has_user_compute_stream;

  /** \brief User provided compute stream.
  *   If provided, please set `has_user_compute_stream` to 1.
  */
  void* user_compute_stream;

  /** \brief ROCM memory arena configuration parameters
  */
  OrtArenaCfg* default_memory_arena_cfg;

} OrtROCMProviderOptions;

/** \brief TensorRT Provider Options
*
* \see OrtApi::SessionOptionsAppendExecutionProvider_TensorRT
*/
typedef struct OrtTensorRTProviderOptions {
  int device_id;                                ///< CUDA device id (0 = default device)
  int has_user_compute_stream;                  // indicator of user specified CUDA compute stream.
  void* user_compute_stream;                    // user specified CUDA compute stream.
  int trt_max_partition_iterations;             // maximum iterations for TensorRT parser to get capability
  int trt_min_subgraph_size;                    // minimum size of TensorRT subgraphs
  size_t trt_max_workspace_size;                // maximum workspace size for TensorRT.
  int trt_fp16_enable;                          // enable TensorRT FP16 precision. Default 0 = false, nonzero = true
  int trt_int8_enable;                          // enable TensorRT INT8 precision. Default 0 = false, nonzero = true
  const char* trt_int8_calibration_table_name;  // TensorRT INT8 calibration table name.
  int trt_int8_use_native_calibration_table;    // use native TensorRT generated calibration table. Default 0 = false, nonzero = true
  int trt_dla_enable;                           // enable DLA. Default 0 = false, nonzero = true
  int trt_dla_core;                             // DLA core number. Default 0
  int trt_dump_subgraphs;                       // dump TRT subgraph. Default 0 = false, nonzero = true
  int trt_engine_cache_enable;                  // enable engine caching. Default 0 = false, nonzero = true
  const char* trt_engine_cache_path;            // specify engine cache path
  int trt_engine_decryption_enable;             // enable engine decryption. Default 0 = false, nonzero = true
  const char* trt_engine_decryption_lib_path;   // specify engine decryption library path
  int trt_force_sequential_engine_build;        // force building TensorRT engine sequentially. Default 0 = false, nonzero = true
  // This is the legacy struct and don't add new fields here.
  // For new field that can be represented by string, please add it in include/onnxruntime/core/providers/tensorrt/tensorrt_provider_options.h
  // For non-string field, need to create a new separate api to handle it.
} OrtTensorRTProviderOptions;

/** \brief MIGraphX Provider Options
*
* \see OrtApi::SessionOptionsAppendExecutionProvider_MIGraphX
*/
typedef struct OrtMIGraphXProviderOptions {
  int device_id;             // hip device id.
  int migraphx_fp16_enable;  // enable MIGraphX FP16 precision. Default 0 = false, nonzero = true
  int migraphx_int8_enable;  // enable MIGraphX INT8 precision. Default 0 = false, nonzero = true
} OrtMIGraphXProviderOptions;

/** \brief OpenVINO Provider Options
*
* \see OrtApi::SessionOptionsAppendExecutionProvider_OpenVINO
*/
typedef struct OrtOpenVINOProviderOptions {
#ifdef __cplusplus
  OrtOpenVINOProviderOptions() : device_type{}, enable_vpu_fast_compile{}, device_id{}, num_of_threads{}, use_compiled_network{}, blob_dump_path{}, context{}, enable_opencl_throttling{} {}
#endif
  /** \brief Device type string
  *
  * Valid settings are one of: "CPU_FP32", "GPU_FP32", "GPU_FP16", "MYRIAD_FP16", "VAD-M_FP16" or "VAD-F_FP32"
  */
  const char* device_type;
  unsigned char enable_vpu_fast_compile;  ///< 0 = disabled, nonzero = enabled
  const char* device_id;
  size_t num_of_threads;               ///< 0 = Use default number of threads
  unsigned char use_compiled_network;  ///< 0 = disabled, nonzero = enabled
  const char* blob_dump_path;          // path is set to empty by default
  void* context;
  unsigned char enable_opencl_throttling; ///< 0 = disabled, nonzero = enabled
} OrtOpenVINOProviderOptions;

struct OrtApi;
typedef struct OrtApi OrtApi;

/** \brief The helper interface to get the right version of OrtApi
*
* Get a pointer to this structure through ::OrtGetApiBase
*/
struct OrtApiBase {
  /** \brief Get a pointer to the requested version of the ::OrtApi
  *
  * \param[in] version Must be ::ORT_API_VERSION
  * \return The ::OrtApi for the version requested, nullptr will be returned if this version is unsupported, for example when using a runtime
  *   older than the version created with this header file.
  */
  const OrtApi*(ORT_API_CALL* GetApi)(uint32_t version)NO_EXCEPTION;
  const char*(ORT_API_CALL* GetVersionString)(void)NO_EXCEPTION;  ///< Returns a null terminated string of the version of the Onnxruntime library (eg: "1.8.1")
};
typedef struct OrtApiBase OrtApiBase;

/** \brief The Onnxruntime library's entry point to access the C API
*
* Call this to get the a pointer to an ::OrtApiBase
*/
ORT_EXPORT const OrtApiBase* ORT_API_CALL OrtGetApiBase(void) NO_EXCEPTION;

/** \brief Thread work loop function
*
* Onnxruntime will provide the working loop on custom thread creation
* Argument is an onnxruntime built-in type which will be provided when thread pool calls OrtCustomCreateThreadFn
*/
typedef void (*OrtThreadWorkerFn)(void* ort_worker_fn_param);

typedef const struct OrtCustomHandleType { char __place_holder; } * OrtCustomThreadHandle;

/** \brief Ort custom thread creation function
*
* The function should return a thread handle to be used in onnxruntime thread pools
* Onnxruntime will throw exception on return value of nullptr or 0, indicating that the function failed to create a thread
*/
typedef OrtCustomThreadHandle (*OrtCustomCreateThreadFn)(void* ort_custom_thread_creation_options, OrtThreadWorkerFn ort_thread_worker_fn, void* ort_worker_fn_param);

/** \brief Custom thread join function
*
* Onnxruntime thread pool destructor will call the function to join a custom thread.
* Argument ort_custom_thread_handle is the value returned by OrtCustomCreateThreadFn
*/
typedef void (*OrtCustomJoinThreadFn)(OrtCustomThreadHandle ort_custom_thread_handle);

/** \brief The C API
*
* All C API functions are defined inside this structure as pointers to functions.
* Call OrtApiBase::GetApi to get a pointer to it
*
* \nosubgrouping
*/
struct OrtApi {
  /// \name OrtStatus
  /// @{

  /**
  * \brief Create an OrtStatus from a null terminated string
  *
  * \param[in] code
  * \param[in] msg A null-terminated string. Its contents will be copied.
  * \return A new OrtStatus object, must be destroyed with OrtApi::ReleaseStatus
  */
  OrtStatus*(ORT_API_CALL* CreateStatus)(OrtErrorCode code, _In_ const char* msg)NO_EXCEPTION ORT_ALL_ARGS_NONNULL;

  /** \brief Get OrtErrorCode from OrtStatus
  *
  * \param[in] status
  * \return OrtErrorCode that \p status was created with
  */
  OrtErrorCode(ORT_API_CALL* GetErrorCode)(_In_ const OrtStatus* status) NO_EXCEPTION ORT_ALL_ARGS_NONNULL;

  /** \brief Get error string from OrtStatus
  *
  * \param[in] status
  * \return The error message inside the `status`. Do not free the returned value.
  */
  const char*(ORT_API_CALL* GetErrorMessage)(_In_ const OrtStatus* status)NO_EXCEPTION ORT_ALL_ARGS_NONNULL;

  /// @}
  /// \name OrtEnv
  /// @{

  /** \brief Create an OrtEnv
  *
  * \param[in] log_severity_level The log severity level.
  * \param[in] logid The log identifier.
  * \param[out] out Returned newly created OrtEnv. Must be freed with OrtApi::ReleaseEnv
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(CreateEnv, OrtLoggingLevel log_severity_level, _In_ const char* logid, _Outptr_ OrtEnv** out);

  /** \brief Create an OrtEnv
  *
  * \param[in] logging_function A pointer to a logging function.
  * \param[in] logger_param A pointer to arbitrary data passed as the ::OrtLoggingFunction `param` parameter to
  *                         `logging_function`.
  * \param[in] log_severity_level The log severity level.
  * \param[in] logid The log identifier.
  * \param[out] out Returned newly created OrtEnv. Must be freed with OrtApi::ReleaseEnv
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(CreateEnvWithCustomLogger, OrtLoggingFunction logging_function, _In_opt_ void* logger_param,
                  OrtLoggingLevel log_severity_level, _In_ const char* logid, _Outptr_ OrtEnv** out);

  /** \brief Enable Telemetry
  *
  * \note Telemetry events are on by default since they are lightweight
  * \param[in] env
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(EnableTelemetryEvents, _In_ const OrtEnv* env);
  /** \brief Disable Telemetry
  *
  * \see OrtApi::EnableTelemetryEvents
  * \param[in] env
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(DisableTelemetryEvents, _In_ const OrtEnv* env);

  /// @}
  /// \name OrtSession
  /// @{

  /** \brief Create an OrtSession from a model file
  *
  * \param[in] env
  * \param[in] model_path
  * \param[in] options
  * \param[out] out Returned newly created OrtSession. Must be freed with OrtApi::ReleaseSession
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  // TODO: document the path separator convention? '/' vs '\'
  // TODO: should specify the access characteristics of model_path. Is this read only during the
  // execution of CreateSession, or does the OrtSession retain a handle to the file/directory
  // and continue to access throughout the OrtSession lifetime?
  //  What sort of access is needed to model_path : read or read/write?
  ORT_API2_STATUS(CreateSession, _In_ const OrtEnv* env, _In_ const ORTCHAR_T* model_path,
                  _In_ const OrtSessionOptions* options, _Outptr_ OrtSession** out);

  /** \brief Create an OrtSession from memory
  *
  * \param[in] env
  * \param[in] model_data
  * \param[in] model_data_length
  * \param[in] options
  * \param[out] out Returned newly created OrtSession. Must be freed with OrtApi::ReleaseSession
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(CreateSessionFromArray, _In_ const OrtEnv* env, _In_ const void* model_data, size_t model_data_length,
                  _In_ const OrtSessionOptions* options, _Outptr_ OrtSession** out);

  /** \brief Run the model in an ::OrtSession
  *
  * Will not return until the model run has completed. Multiple threads might be used to run the model based on
  * the options in the ::OrtSession and settings used when creating the ::OrtEnv
  *
  * \param[in] session
  * \param[in] run_options If nullptr, will use a default ::OrtRunOptions
  * \param[in] input_names Array of null terminated UTF8 encoded strings of the input names
  * \param[in] inputs Array of ::OrtValue%s of the input values
  * \param[in] input_len Number of elements in the input_names and inputs arrays
  * \param[in] output_names Array of null terminated UTF8 encoded strings of the output names
  * \param[in] output_names_len Number of elements in the output_names and outputs array
  * \param[out] outputs Array of ::OrtValue%s that the outputs are stored in. This can also be
  *     an array of nullptr values, in this case ::OrtValue objects will be allocated and pointers
  *     to them will be set into the `outputs` array.
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(Run, _Inout_ OrtSession* session, _In_opt_ const OrtRunOptions* run_options,
                  _In_reads_(input_len) const char* const* input_names,
                  _In_reads_(input_len) const OrtValue* const* inputs, size_t input_len,
                  _In_reads_(output_names_len) const char* const* output_names, size_t output_names_len,
                  _Inout_updates_all_(output_names_len) OrtValue** outputs);

  /// @}
  /// \name OrtSessionOptions
  /// @{

  /** \brief Create an ::OrtSessionOptions object
  *
  * To use additional providers, you must build ORT with the extra providers enabled. Then call one of these
  * functions to enable them in the session:<br>
  *   OrtSessionOptionsAppendExecutionProvider_CPU<br>
  *   OrtSessionOptionsAppendExecutionProvider_CUDA<br>
  *   OrtSessionOptionsAppendExecutionProvider_(remaining providers...)<br>
  * The order they are called indicates the preference order as well. In other words call this method
  * on your most preferred execution provider first followed by the less preferred ones.
  * If none are called Ort will use its internal CPU execution provider.
  *
  * \param[out] options The newly created OrtSessionOptions. Must be freed with OrtApi::ReleaseSessionOptions
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(CreateSessionOptions, _Outptr_ OrtSessionOptions** options);

  /** \brief Set filepath to save optimized model after graph level transformations
  *
  * \param[in] options
  * \param[in] optimized_model_filepath
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(SetOptimizedModelFilePath, _Inout_ OrtSessionOptions* options,
                  _In_ const ORTCHAR_T* optimized_model_filepath);

  /** \brief Create a copy of an existing ::OrtSessionOptions
  *
  * \param[in] in_options OrtSessionOptions to copy
  * \param[out] out_options Returned newly created ::OrtSessionOptions. Must be freed with OrtApi::ReleaseSessionOptions
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(CloneSessionOptions, _In_ const OrtSessionOptions* in_options,
                  _Outptr_ OrtSessionOptions** out_options);

  /** \brief Set execution mode
  *
  * Controls whether you want to execute operators in your graph sequentially or in parallel. Usually when the model
  *  has many branches, setting this option to ExecutionMode.ORT_PARALLEL will give you better performance.
  *  See [docs/ONNX_Runtime_Perf_Tuning.md] for more details.
  *
  * \param[in] options
  * \param[in] execution_mode
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(SetSessionExecutionMode, _Inout_ OrtSessionOptions* options, ExecutionMode execution_mode);

  /** \brief Enable profiling for a session
  *
  * \param[in] options
  * \param[in] profile_file_prefix
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(EnableProfiling, _Inout_ OrtSessionOptions* options, _In_ const ORTCHAR_T* profile_file_prefix);

  /** \brief Disable profiling for a session
  *
  * \param[in] options
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(DisableProfiling, _Inout_ OrtSessionOptions* options);

  /** \brief Enable the memory pattern optimization
  *
  * The idea is if the input shapes are the same, we could trace the internal memory allocation
  * and generate a memory pattern for future request. So next time we could just do one allocation
  * with a big chunk for all the internal memory allocation.
  * \note Memory pattern optimization is only available when Sequential Execution mode is enabled (see OrtApi::SetSessionExecutionMode)
  *
  * \see OrtApi::DisableMemPattern
  *
  * \param[in] options
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(EnableMemPattern, _Inout_ OrtSessionOptions* options);

  /** \brief Disable the memory pattern optimization
  *
  * \see OrtApi::EnableMemPattern
  *
  * \param[in] options
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(DisableMemPattern, _Inout_ OrtSessionOptions* options);

  /** \brief Enable the memory arena on CPU
  *
  * Arena may pre-allocate memory for future usage.
  *
  * \param[in] options
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(EnableCpuMemArena, _Inout_ OrtSessionOptions* options);

  /** \brief Disable the memory arena on CPU
  *
  * \param[in] options
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(DisableCpuMemArena, _Inout_ OrtSessionOptions* options);

  /** \brief Set session log id
  *
  * \param[in] options
  * \param[in] logid The log identifier.
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(SetSessionLogId, _Inout_ OrtSessionOptions* options, const char* logid);

  /** \brief Set session log verbosity level
  *
  * Applies to session load, initialization, etc
  *
  * \param[in] options
  * \param[in] session_log_verbosity_level \snippet{doc} snippets.dox Log Verbosity Level
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(SetSessionLogVerbosityLevel, _Inout_ OrtSessionOptions* options, int session_log_verbosity_level);

  /** \brief Set session log severity level
  *
  * \param[in] options
  * \param[in] session_log_severity_level The log severity level (refer to ::OrtLoggingLevel for possible values).
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(SetSessionLogSeverityLevel, _Inout_ OrtSessionOptions* options, int session_log_severity_level);

  /** \brief Set the optimization level to apply when loading a graph
  *
  * Please see https://www.onnxruntime.ai/docs/resources/graph-optimizations.html for an in-depth explanation
  * \param[in,out] options The session options object
  * \param[in] graph_optimization_level The optimization level
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(SetSessionGraphOptimizationLevel, _Inout_ OrtSessionOptions* options,
                  GraphOptimizationLevel graph_optimization_level);

  /** \brief Sets the number of threads used to parallelize the execution within nodes
  *
  * When running a single node operation, ex. add, this sets the maximum number of threads to use.
  *
  * \note If built with OpenMP, this has no effect on the number of threads used. In this case
  *       use the OpenMP env variables to configure the number of intra op num threads.
  *
  * \param[in] options
  * \param[in] intra_op_num_threads Number of threads to use<br>
  *   A value of 0 will use the default number of threads<br>
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(SetIntraOpNumThreads, _Inout_ OrtSessionOptions* options, int intra_op_num_threads);

  /** \brief Sets the number of threads used to parallelize the execution of the graph
  *
  * If nodes can be run in parallel, this sets the maximum number of threads to use to run them in parallel.
  *
  * \note If sequential execution is enabled this value is ignored, it acts as if it was set to 1.
  *
  * \param[in] options
  * \param[in] inter_op_num_threads Number of threads to use<br>
  *   A value of 0 will use the default number of threads<br>
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(SetInterOpNumThreads, _Inout_ OrtSessionOptions* options, int inter_op_num_threads);

  /// @}
  /// \name OrtCustomOpDomain
  /// @{

  /** \brief Create a custom op domain
  *
  * \param[in] domain
  * \param[out] out Newly created domain. Must be freed with OrtApi::ReleaseCustomOpDomain
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(CreateCustomOpDomain, _In_ const char* domain, _Outptr_ OrtCustomOpDomain** out);

  /** \brief Add a custom op to a custom op domain
  *
  * \note The OrtCustomOp* pointer must remain valid until the ::OrtCustomOpDomain using it is released
  *
  * \param[in] custom_op_domain
  * \param[in] op
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(CustomOpDomain_Add, _Inout_ OrtCustomOpDomain* custom_op_domain, _In_ const OrtCustomOp* op);

  /// @}
  /// \name OrtSessionOptions
  /// @{

  /** \brief Add custom op domain to a session options
  *
  * \note The OrtCustomOpDomain* must not be deleted until all sessions using it are released
  *
  * \param[in] options
  * \param[in] custom_op_domain
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(AddCustomOpDomain, _Inout_ OrtSessionOptions* options, _In_ OrtCustomOpDomain* custom_op_domain);

  /** \brief Register custom ops from a shared library
  *
  * Loads a shared library (dll on windows, so on linux, etc) named 'library_path' and looks for this entry point:
  *		OrtStatus* RegisterCustomOps(OrtSessionOptions * options, const OrtApiBase* api);
  * It then passes in the provided session options to this function along with the api base.
  * The handle to the loaded library is returned in library_handle. It can be freed by the caller after all sessions using the passed in
  * session options are destroyed, or if an error occurs and it is non null.
  *
  * \param[in] options
  * \param[in] library_path
  * \param[out] library_handle OS specific handle to the loaded library (Use FreeLibrary on Windows, dlclose on Linux, etc.. to unload)
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(RegisterCustomOpsLibrary, _Inout_ OrtSessionOptions* options, _In_ const char* library_path, _Outptr_ void** library_handle);

  /// @}
  /// \name OrtSession
  /// @{

  /** \brief Get input count for a session
  *
  * This number must also match the number of inputs passed to OrtApi::Run
  *
  * \see OrtApi::SessionGetInputTypeInfo, OrtApi::SessionGetInputName, OrtApi::Session
  *
  * \param[in] session
  * \param[out] out Number of inputs
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(SessionGetInputCount, _In_ const OrtSession* session, _Out_ size_t* out);

  /** \brief Get output count for a session
  *
  * This number must also match the number of outputs returned by OrtApi::Run
  *
  * \see OrtApi::SessionGetOutputTypeInfo, OrtApi::SessionGetOutputName, OrtApi::Session
  *
  * \param[in] session
  * \param[out] out Number of outputs
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(SessionGetOutputCount, _In_ const OrtSession* session, _Out_ size_t* out);

  /** \brief Get overridable initializer count
  *
  * \see OrtApi::SessionGetOverridableInitializerTypeInfo, OrtApi::SessionGetOverridableInitializerName
  *
  * \param[in] session
  * \param[in] out
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(SessionGetOverridableInitializerCount, _In_ const OrtSession* session, _Out_ size_t* out);

  /** \brief Get input type information
  *
  * \param[in] session
  * \param[in] index Must be between 0 (inclusive) and what OrtApi::SessionGetInputCount returns (exclusive)
  * \param[out] type_info Must be freed with OrtApi::ReleaseTypeInfo
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(SessionGetInputTypeInfo, _In_ const OrtSession* session, size_t index, _Outptr_ OrtTypeInfo** type_info);

  /** \brief Get output type information
  *
  * \param[in] session
  * \param[in] index Must be between 0 (inclusive) and what OrtApi::SessionGetOutputCount returns (exclusive)
  * \param[out] type_info Must be freed with OrtApi::ReleaseTypeInfo
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(SessionGetOutputTypeInfo, _In_ const OrtSession* session, size_t index, _Outptr_ OrtTypeInfo** type_info);

  /** \brief Get overridable initializer type information
  *
  * \param[in] session
  * \param[in] index Must be between 0 (inclusive) and what OrtApi::SessionGetOverridableInitializerCount returns (exclusive)
  * \param[out] type_info Must be freed with OrtApi::ReleaseTypeInfo
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(SessionGetOverridableInitializerTypeInfo, _In_ const OrtSession* session, size_t index, _Outptr_ OrtTypeInfo** type_info);

  /** \brief Get input name
  *
  * \param[in] session
  * \param[in] index Must be between 0 (inclusive) and what OrtApi::SessionGetInputCount returns (exclusive)
  * \param[in] allocator
  * \param[out] value Set to a null terminated UTF-8 encoded string allocated using `allocator`. Must be freed using `allocator`.
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(SessionGetInputName, _In_ const OrtSession* session, size_t index, _Inout_ OrtAllocator* allocator, _Outptr_ char** value);

  /** \brief Get output name
  *
  * \param[in] session
  * \param[in] index Must be between 0 (inclusive) and what OrtApi::SessionGetOutputCount returns (exclusive)
  * \param[in] allocator
  * \param[out] value Set to a null terminated UTF-8 encoded string allocated using `allocator`. Must be freed using `allocator`.
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(SessionGetOutputName, _In_ const OrtSession* session, size_t index, _Inout_ OrtAllocator* allocator, _Outptr_ char** value);

  /** \brief Get overridable initializer name
  *
  * \param[in] session
  * \param[in] index Must be between 0 (inclusive) and what OrtApi::SessionGetOverridableInitializerCount returns (exclusive)
  * \param[in] allocator
  * \param[out] value Set to a null terminated UTF-8 encoded string allocated using `allocator`. Must be freed using `allocator`.
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(SessionGetOverridableInitializerName, _In_ const OrtSession* session, size_t index,
                  _Inout_ OrtAllocator* allocator, _Outptr_ char** value);

  /// @}
  /// \name OrtRunOptions
  /// @{

  /** \brief Create an OrtRunOptions
  *
  * \param[out] out Returned newly created ::OrtRunOptions. Must be freed with OrtApi::ReleaseRunOptions
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(CreateRunOptions, _Outptr_ OrtRunOptions** out);

  /** \brief Set per-run log verbosity level
   *
   * \see OrtApi::RunOptionsGetRunLogVerbosityLevel
   *
   * \param[in] options
   * \param[in] log_verbosity_level \snippet{doc} snippets.dox Log Verbosity Level
   *
   * \snippet{doc} snippets.dox OrtStatus Return Value
   */
  ORT_API2_STATUS(RunOptionsSetRunLogVerbosityLevel, _Inout_ OrtRunOptions* options, int log_verbosity_level);

  /** \brief Set per-run log severity level
   *
   * \see OrtApi::RunOptionsGetRunLogSeverityLevel
   *
   * \param[in] options
   * \param[in] log_severity_level The log severity level (refer to ::OrtLoggingLevel for possible values).
   */
  ORT_API2_STATUS(RunOptionsSetRunLogSeverityLevel, _Inout_ OrtRunOptions* options, int log_severity_level);

  /** \brief Set per-run tag
   *
   * This is used in a per-run log identifier.
   *
   * \see OrtApi::RunOptionsGetRunTag
   *
   * \param[in] options
   * \param[in] run_tag The run tag.
   */
  ORT_API2_STATUS(RunOptionsSetRunTag, _Inout_ OrtRunOptions* options, _In_ const char* run_tag);

  /** \brief Get per-run log verbosity level
   *
   * \see OrtApi::RunOptionsSetRunLogVerbosityLevel
   *
   * \param[in] options
   * \param[out] log_verbosity_level \snippet{doc} snippets.dox Log Verbosity Level
   *
   * \snippet{doc} snippets.dox OrtStatus Return Value
   */
  ORT_API2_STATUS(RunOptionsGetRunLogVerbosityLevel, _In_ const OrtRunOptions* options,
                  _Out_ int* log_verbosity_level);

  /** \brief Get per-run log severity level
   *
   * \see OrtApi::RunOptionsSetRunLogSeverityLevel
   *
   * \param[in] options
   * \param[out] log_severity_level The log severity level (refer to ::OrtLoggingLevel for possible values).
   */
  ORT_API2_STATUS(RunOptionsGetRunLogSeverityLevel, _In_ const OrtRunOptions* options, _Out_ int* log_severity_level);

  /** \brief Get per-run tag
   *
   * This is used in a per-run log identifier.
   *
   * \see OrtApi::RunOptionsSetRunTag
   *
   * \param[in] options
   * \param[out] run_tag The run tag.
   *                     Do not free this value, it is owned by `options`. It will be invalidated if the run tag
   *                     changes (i.e., with OrtApi::RunOptionsSetRunTag) or `options` is freed.
   */
  ORT_API2_STATUS(RunOptionsGetRunTag, _In_ const OrtRunOptions* options, _Out_ const char** run_tag);

  /** \brief Set terminate flag
  *
  * If a currently executing session needs to be force terminated, this can be called from another thread to force it to fail with an error.
  *
  * \param[in] options
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(RunOptionsSetTerminate, _Inout_ OrtRunOptions* options);

  /** \brief Clears the terminate flag
  *
  * Used so the OrtRunOptions instance can be used in a new OrtApi::Run call without it instantly terminating
  *
  * \param[in] options
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(RunOptionsUnsetTerminate, _Inout_ OrtRunOptions* options);

  /// @}
  /// \name OrtValue
  /// @{

  /** \brief Create a tensor
  *
  * Create a tensor using a supplied ::OrtAllocator
  *
  * \param[in] allocator
  * \param[in] shape Pointer to the tensor shape dimensions.
  * \param[in] shape_len The number of tensor shape dimensions.
  * \param[in] type
  * \param[out] out Returns newly created ::OrtValue. Must be freed with OrtApi::ReleaseValue
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(CreateTensorAsOrtValue, _Inout_ OrtAllocator* allocator, _In_ const int64_t* shape, size_t shape_len,
                  ONNXTensorElementDataType type, _Outptr_ OrtValue** out);

  /** \brief Create a tensor backed by a user supplied buffer
  *
  * Create a tensor with user's buffer. You can fill the buffer either before calling this function or after.
  * p_data is owned by caller. ReleaseValue won't release p_data.
  *
  * \param[in] info Memory description of where the p_data buffer resides (CPU vs GPU etc).
  * \param[in] p_data Pointer to the data buffer.
  * \param[in] p_data_len The number of bytes in the data buffer.
  * \param[in] shape Pointer to the tensor shape dimensions.
  * \param[in] shape_len The number of tensor shape dimensions.
  * \param[in] type The data type.
  * \param[out] out Returns newly created ::OrtValue. Must be freed with OrtApi::ReleaseValue
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(CreateTensorWithDataAsOrtValue, _In_ const OrtMemoryInfo* info, _Inout_ void* p_data,
                  size_t p_data_len, _In_ const int64_t* shape, size_t shape_len, ONNXTensorElementDataType type,
                  _Outptr_ OrtValue** out);

  /** \brief Return if an ::OrtValue is a tensor type
  *
  * \param[in] value A tensor type (string tensors are not supported)
  * \param[out] out Set to 1 iff ::OrtValue is a tensor, 0 otherwise
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(IsTensor, _In_ const OrtValue* value, _Out_ int* out);

  /** \brief Get a pointer to the raw data inside a tensor
  *
  * Used to read/write/modify the internal tensor data directly.
  * \note The returned pointer is valid until the \p value is destroyed.
  *
  * \param[in] value A tensor type (string tensors are not supported)
  * \param[out] out Filled in with a pointer to the internal storage
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(GetTensorMutableData, _In_ OrtValue* value, _Outptr_ void** out);

  /** \brief Set all strings at once in a string tensor
  *
  * \param[in,out] value A tensor of type ONNX_TENSOR_ELEMENT_DATA_TYPE_STRING
  * \param[in] s An array of strings. Each string in this array must be null terminated.
  * \param[in] s_len Count of strings in s (Must match the size of \p value's tensor shape)
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(FillStringTensor, _Inout_ OrtValue* value, _In_ const char* const* s, size_t s_len);

  /** \brief Get total byte length for all strings in a string tensor
  *
  * Typically used with OrtApi::GetStringTensorContent
  *
  * \param[in] value A tensor of type ONNX_TENSOR_ELEMENT_DATA_TYPE_STRING
  * \param[out] len Total byte length of all strings (does not include trailing nulls)
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(GetStringTensorDataLength, _In_ const OrtValue* value, _Out_ size_t* len);

  /** \brief Get all strings from a string tensor
  *
  * An example of the results:<br>
  * Given \p value is a string tensor with the strings { "This" "is" "a" "test" }<br>
  * \p s must have a size of 11 bytes<br>
  * \p offsets must have 4 elements<br>
  * After the call, these values will be filled in:<br>
  * \p s will contain "Thisisatest"<br>
  * \p offsets will contain { 0, 4, 6, 7 }<br>
  * The length of the last string is just s_len - offsets[last]
  *
  * \param[in] value A tensor of type ONNX_TENSOR_ELEMENT_DATA_TYPE_STRING
  * \param[in] s Buffer to sequentially write all tensor strings to. Each string is NOT null-terminated.
  * \param[in] s_len Number of bytes of buffer pointed to by \p s (Get it from OrtApi::GetStringTensorDataLength)
  * \param[out] offsets Array of start offsets into the strings written to \p s
  * \param[in] offsets_len Number of elements in offsets
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(GetStringTensorContent, _In_ const OrtValue* value, _Out_writes_bytes_all_(s_len) void* s,
                  size_t s_len, _Out_writes_all_(offsets_len) size_t* offsets, size_t offsets_len);

  /// @}
  /// \name OrtTypeInfo
  /// @{

  /** \brief Get ::OrtTensorTypeAndShapeInfo from an ::OrtTypeInfo
  *
  * \param[in] type_info
  * \param[out] out Do not free this value, it will be valid until type_info is freed.
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(CastTypeInfoToTensorInfo, _In_ const OrtTypeInfo* type_info,
                  _Outptr_result_maybenull_ const OrtTensorTypeAndShapeInfo** out);

  /** \brief Get ::ONNXType from ::OrtTypeInfo
  *
  * \param[in] type_info
  * \param[out] out
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(GetOnnxTypeFromTypeInfo, _In_ const OrtTypeInfo* type_info, _Out_ enum ONNXType* out);

  /// @}
  /// \name OrtTensorTypeAndShapeInfo
  /// @{

  /** \brief Create an ::OrtTensorTypeAndShapeInfo object
  *
  * \param[out] out Returns newly created ::OrtTensorTypeAndShapeInfo. Must be freed with OrtApi::ReleaseTensorTypeAndShapeInfo
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(CreateTensorTypeAndShapeInfo, _Outptr_ OrtTensorTypeAndShapeInfo** out);

  /** \brief Set element type in ::OrtTensorTypeAndShapeInfo
  *
  * \param[in] info
  * \param[in] type
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(SetTensorElementType, _Inout_ OrtTensorTypeAndShapeInfo* info, enum ONNXTensorElementDataType type);

  /** \brief Set shape information in ::OrtTensorTypeAndShapeInfo
  *
  * \param[in] info
  * \param[in] dim_values Array with `dim_count` elements. Can contain negative values.
  * \param[in] dim_count Number of elements in `dim_values`
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(SetDimensions, OrtTensorTypeAndShapeInfo* info, _In_ const int64_t* dim_values, size_t dim_count);

  /** \brief Get element type in ::OrtTensorTypeAndShapeInfo
  *
  * \see OrtApi::SetTensorElementType
  *
  * \param[in] info
  * \param[out] out
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(GetTensorElementType, _In_ const OrtTensorTypeAndShapeInfo* info,
                  _Out_ enum ONNXTensorElementDataType* out);

  /** \brief Get dimension count in ::OrtTensorTypeAndShapeInfo
  *
  * \see OrtApi::GetDimensions
  *
  * \param[in] info
  * \param[out] out
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(GetDimensionsCount, _In_ const OrtTensorTypeAndShapeInfo* info, _Out_ size_t* out);

  /** \brief Get dimensions in ::OrtTensorTypeAndShapeInfo
  *
  * \param[in] info
  * \param[out] dim_values Array with `dim_values_length` elements. On return, filled with the dimensions stored in the ::OrtTensorTypeAndShapeInfo
  * \param[in] dim_values_length Number of elements in `dim_values`. Use OrtApi::GetDimensionsCount to get this value
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(GetDimensions, _In_ const OrtTensorTypeAndShapeInfo* info, _Out_ int64_t* dim_values,
                  size_t dim_values_length);

  /** \brief Get symbolic dimension names in ::OrtTensorTypeAndShapeInfo
  *
  * \param[in] info
  * \param[in] dim_params Array with `dim_params_length` elements. On return filled with pointers to null terminated strings of the dimension names
  * \param[in] dim_params_length Number of elements in `dim_params`. Use OrtApi::GetDimensionsCount to get this value
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(GetSymbolicDimensions, _In_ const OrtTensorTypeAndShapeInfo* info,
                  _Out_writes_all_(dim_params_length) const char* dim_params[], size_t dim_params_length);

  /** \brief Get total number of elements in a tensor shape from an ::OrtTensorTypeAndShapeInfo
  *
  * Return the number of elements specified by the tensor shape (all dimensions multiplied by each other).
  * For 0 dimensions, 1 is returned. If any dimension is less than 0, the result is always -1.
  *
  * Examples:<br>
  * [] = 1<br>
  * [1,3,4] = 12<br>
  * [2,0,4] = 0<br>
  * [-1,3,4] = -1<br>
  *
  * \param[in] info
  * \param[out] out Number of elements
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(GetTensorShapeElementCount, _In_ const OrtTensorTypeAndShapeInfo* info, _Out_ size_t* out);

  /// @}
  /// \name OrtValue
  /// @{

  /** \brief Get type and shape information from a tensor ::OrtValue
  *
  * \param[in] value Must be a tensor (not a map/sequence/etc) or will return failure
  * \param[out] out Newly created ::OrtTensorTypeAndShapeInfo. Must be freed with OrtApi::ReleaseTensorTypeAndShapeInfo
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(GetTensorTypeAndShape, _In_ const OrtValue* value, _Outptr_ OrtTensorTypeAndShapeInfo** out);

  /** \brief Get type information of an OrtValue
  *
  * \param[in] value
  * \param[out] out Newly created ::OrtTypeInfo. Must be freed with OrtApi::ReleaseTypeInfo
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(GetTypeInfo, _In_ const OrtValue* value, _Outptr_result_maybenull_ OrtTypeInfo** out);

  /** \brief Get ONNXType of an ::OrtValue
  *
  * \param[in] value
  * \param[out] out
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(GetValueType, _In_ const OrtValue* value, _Out_ enum ONNXType* out);

  /// @}
  /// \name OrtMemoryInfo
  /// @{

  /** \brief Create an ::OrtMemoryInfo
  *
  * \param[in] name
  * \param[in] type
  * \param[in] id
  * \param[in] mem_type
  * \param[out] out Newly created ::OrtMemoryInfo. Must be freed with OrtAPi::ReleaseMemoryInfo
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(CreateMemoryInfo, _In_ const char* name, enum OrtAllocatorType type, int id,
                  enum OrtMemType mem_type, _Outptr_ OrtMemoryInfo** out);

  /** \brief Create an ::OrtMemoryInfo for CPU memory
  *
  * Special case version of OrtApi::CreateMemoryInfo for CPU based memory. Same as using OrtApi::CreateMemoryInfo with name = "Cpu" and id = 0.
  *
  * \param[in] type
  * \param[in] mem_type
  * \param[out] out
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(CreateCpuMemoryInfo, enum OrtAllocatorType type, enum OrtMemType mem_type,
                  _Outptr_ OrtMemoryInfo** out);

  /** \brief Compare ::OrtMemoryInfo objects for equality
  *
  * Compares all settings of each ::OrtMemoryInfo for equality
  *
  * \param[in] info1
  * \param[in] info2
  * \param[out] out Set to 0 if equal, -1 if not equal
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(CompareMemoryInfo, _In_ const OrtMemoryInfo* info1, _In_ const OrtMemoryInfo* info2, _Out_ int* out);

  /** \brief Get name from ::OrtMemoryInfo
  *
  * \param[in] ptr
  * \param[out] out Writes null terminated string to this pointer. Do NOT free the returned pointer. It is valid for the lifetime of the ::OrtMemoryInfo
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(MemoryInfoGetName, _In_ const OrtMemoryInfo* ptr, _Out_ const char** out);

  /** \brief Get the id from ::OrtMemoryInfo
  */
  ORT_API2_STATUS(MemoryInfoGetId, _In_ const OrtMemoryInfo* ptr, _Out_ int* out);

  /** \brief Get the ::OrtMemType from ::OrtMemoryInfo
  */
  ORT_API2_STATUS(MemoryInfoGetMemType, _In_ const OrtMemoryInfo* ptr, _Out_ OrtMemType* out);

  /** \brief Get the ::OrtAllocatorType from ::OrtMemoryInfo
  */
  ORT_API2_STATUS(MemoryInfoGetType, _In_ const OrtMemoryInfo* ptr, _Out_ OrtAllocatorType* out);

  /// @}
  /// \name OrtAllocator
  /// @{

  /// \brief Calls OrtAllocator::Alloc function
  ORT_API2_STATUS(AllocatorAlloc, _Inout_ OrtAllocator* ort_allocator, size_t size, _Outptr_ void** out);
  /// \brief Calls OrtAllocator::Free function
  ORT_API2_STATUS(AllocatorFree, _Inout_ OrtAllocator* ort_allocator, void* p);
  /// \brief Calls OrtAllocator::Info function
  ORT_API2_STATUS(AllocatorGetInfo, _In_ const OrtAllocator* ort_allocator, _Outptr_ const struct OrtMemoryInfo** out);

  /** \brief Get the default allocator
  *
  * The default allocator is a CPU based, non-arena. Always returns the same pointer to the same default allocator.
  *
  * \param[out] out Returned value should NOT be freed
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(GetAllocatorWithDefaultOptions, _Outptr_ OrtAllocator** out);

  /// @}
  /// \name OrtSessionOptions
  /// @{

  /** \brief Override session symbolic dimensions
  *
  * Override symbolic dimensions (by specific denotation strings) with actual values if known at session initialization time to enable
  * optimizations that can take advantage of fixed values (such as memory planning, etc)
  *
  * \param[in] options
  * \param[in] dim_denotation
  * \param[in] dim_value
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(AddFreeDimensionOverride, _Inout_ OrtSessionOptions* options, _In_ const char* dim_denotation,
                  _In_ int64_t dim_value);

  /// @}
  /// \name OrtValue
  /// @{

  /* Internal information (not seen in Doxygen)
  *
  * APIs to support non-tensor types - map and sequence.
  * Currently only the following types are supported
  * Note: the following types should be kept in sync with data_types.h
  * Map types
  * =========
  * std::map<std::string, std::string>
  * std::map<std::string, int64_t>
  * std::map<std::string, float>
  * std::map<std::string, double>
  * std::map<int64_t, std::string>
  * std::map<int64_t, int64_t>
  * std::map<int64_t, float>
  * std::map<int64_t, double>
  *
  * Sequence types
  * ==============
  * std::vector<std::string>
  * std::vector<int64_t>
  * std::vector<float>
  * std::vector<double>
  * std::vector<std::map<std::string, float>>
  * std::vector<std::map<int64_t, float>
  */

  /** \brief Get non tensor data from an ::OrtValue
  *
  * If `value` is of type ONNX_TYPE_MAP, you need to retrieve the keys and values
  * separately. Use index=0 to retrieve keys and index=1 to retrieve values.
  * If `value` is of type ONNX_TYPE_SEQUENCE, use index to retrieve the index'th element
  * of the sequence.
  *
  * \param[in] value
  * \param[in] index See above for usage based on `value` type
  * \param[in] allocator Allocator used to allocate ::OrtValue
  * \param[out] out Created ::OrtValue that holds the element requested. Must be freed with OrtApi::ReleaseValue
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(GetValue, _In_ const OrtValue* value, int index, _Inout_ OrtAllocator* allocator,
                  _Outptr_ OrtValue** out);

  /** \brief Get non tensor value count from an ::OrtValue
  *
  * If `value` is of type ONNX_TYPE_MAP 2 will always be returned. For ONNX_TYPE_SEQUENCE
  * the number of elements in the sequence will be returned
  *
  * \param[in] value
  * \param[out] out
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(GetValueCount, _In_ const OrtValue* value, _Out_ size_t* out);

  /** \brief Create a map or sequence ::OrtValue
  *
  * To construct a map (ONNX_TYPE_MAP), use num_values = 2 and `in` should be an array of 2 ::OrtValue%s
  * representing keys and values.<br>
  *
  * To construct a sequence (ONNX_TYPE_SEQUENCE), use num_values = N where N is the number of the elements in the
  * sequence. 'in' should be an array of N ::OrtValue%s.
  *
  * \param[in] in See above for details
  * \param[in] num_values
  * \param[in] value_type Must be either ONNX_TYPE_MAP or ONNX_TYPE_SEQUENCE
  * \param[out] out Newly created ::OrtValue. Must be freed with OrtApi::ReleaseValue
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(CreateValue, _In_reads_(num_values) const OrtValue* const* in, size_t num_values,
                  enum ONNXType value_type, _Outptr_ OrtValue** out);

  /** \brief Create an opaque (custom user defined type) ::OrtValue
  *
  * Constructs an ::OrtValue that contains a value of non-standard type created for
  * experiments or while awaiting standardization. ::OrtValue in this case would contain
  * an internal representation of the Opaque type. Opaque types are distinguished from
  * each other by two strings 1) domain and 2) type name. The combination of the two
  * must be unique, so the type representation is properly identified internally. The combination
  * must be properly registered from within ORT at both compile/run time or by another API.
  *
  * To construct the ::OrtValue pass domain and type names, also a pointer to a data container
  * the type of which must be known to both ORT and the client program. That data container may or may
  * not match the internal representation of the Opaque type. The sizeof(data_container) is passed for
  * verification purposes.
  *
  * \param[in] domain_name Null terminated string of the domain name
  * \param[in] type_name Null terminated string of the type name
  * \param[in] data_container User pointer Data to populate ::OrtValue
  * \param[in] data_container_size Size in bytes of what `data_container` points to
  * \param[out] out Newly created ::OrtValue. Must be freed with OrtApi::ReleaseValue
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(CreateOpaqueValue, _In_z_ const char* domain_name, _In_z_ const char* type_name,
                  _In_ const void* data_container, size_t data_container_size, _Outptr_ OrtValue** out);

  /** \brief Get internal data from an opaque (custom user defined type) ::OrtValue
  *
  * Copies internal data from an opaque value into a user provided buffer
  *
  * \see OrtApi::CreateOpaqueValue
  *
  * \param[in] domain_name Null terminated string of the domain name
  * \param[in] type_name Null terminated string of the type name
  * \param[in] in The opaque ::OrtValue
  * \param[out] data_container Buffer to copy data into
  * \param[out] data_container_size Size in bytes of the buffer pointed to by data_container. Must match the size of the internal buffer.
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(GetOpaqueValue, _In_ const char* domain_name, _In_ const char* type_name, _In_ const OrtValue* in,
                  _Out_ void* data_container, size_t data_container_size);

  /// @}
  /// \name OrtKernelInfo
  /// @{

  /** \brief Get a float stored as an attribute in the graph node
  *
  * \param[in] info ::OrtKernelInfo instance
  * \param[in] name Null terminated string of the name of the attribute
  * \param[out] out Pointer to memory where the attribute will be stored
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(KernelInfoGetAttribute_float, _In_ const OrtKernelInfo* info, _In_ const char* name,
                  _Out_ float* out);

  /** \brief Fetch a 64-bit int stored as an attribute in the graph node
  *
  * \param[in] info ::OrtKernelInfo instance
  * \param[in] name Null terminated string of the name of the attribute
  * \param[out] out Pointer to memory where the attribute will be stored
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(KernelInfoGetAttribute_int64, _In_ const OrtKernelInfo* info, _In_ const char* name,
                  _Out_ int64_t* out);

  /** \brief Fetch a string stored as an attribute in the graph node
  *
  * If `out` is nullptr, the value of `size` is set to the true size of the string
  * attribute, and a success status is returned.
  *
  * If the `size` parameter is greater than or equal to the actual string attribute's size,
  * the value of `size` is set to the true size of the string attribute, the provided memory
  * is filled with the attribute's contents, and a success status is returned.
  *
  * If the `size` parameter is less than the actual string attribute's size and `out`
  * is not nullptr, the value of `size` is set to the true size of the string attribute
  * and a failure status is returned.)
  *
  * \param[in] info ::OrtKernelInfo instance
  * \param[in] name Null terminated string of the name of the attribute
  * \param[out] out Pointer to memory where the attribute will be stored
  * \param[in,out] size See above comments for details
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(KernelInfoGetAttribute_string, _In_ const OrtKernelInfo* info, _In_ const char* name, _Out_ char* out,
                  _Inout_ size_t* size);

  /// @}
  /// \name OrtKernelContext
  /// @{

  /** \brief Used for custom operators, get the input count of a kernel
  *
  * \see ::OrtCustomOp
  */
  ORT_API2_STATUS(KernelContext_GetInputCount, _In_ const OrtKernelContext* context, _Out_ size_t* out);

  /** \brief Used for custom operators, get the output count of a kernel
  *
  * \see ::OrtCustomOp
  */
  ORT_API2_STATUS(KernelContext_GetOutputCount, _In_ const OrtKernelContext* context, _Out_ size_t* out);

  /** \brief Used for custom operators, get an input of a kernel
  *
  * \see ::OrtCustomOp
  */
  ORT_API2_STATUS(KernelContext_GetInput, _In_ const OrtKernelContext* context, _In_ size_t index,
                  _Out_ const OrtValue** out);

  /** \brief Used for custom operators, get an output of a kernel
  *
  * \see ::OrtCustomOp
  */
  ORT_API2_STATUS(KernelContext_GetOutput, _Inout_ OrtKernelContext* context, _In_ size_t index,
                  _In_ const int64_t* dim_values, size_t dim_count, _Outptr_ OrtValue** out);

  /// @}
  /// \name OrtEnv
  /// @{
  ORT_CLASS_RELEASE(Env);
  /// @}
  /// \name OrtStatus
  /// @{
  ORT_CLASS_RELEASE(Status);
  /// @}
  /// \name OrtMemoryInfo
  /// @{
  ORT_CLASS_RELEASE(MemoryInfo);
  /// @}
  /// \name OrtSession
  /// @{
  ORT_CLASS_RELEASE(Session);  //Don't call ReleaseSession from Dllmain (because session owns a thread pool)
  /// @}
  /// \name OrtValue
  /// @{
  ORT_CLASS_RELEASE(Value);
  /// @}
  /// \name OrtRunOptions
  /// @{
  ORT_CLASS_RELEASE(RunOptions);
  /// @}
  /// \name OrtTypeInfo
  /// @{
  ORT_CLASS_RELEASE(TypeInfo);
  /// @}
  /// \name OrtTensorTypeAndShapeInfo
  /// @{
  ORT_CLASS_RELEASE(TensorTypeAndShapeInfo);
  /// @}
  /// \name OrtSessionOptions
  /// @{
  ORT_CLASS_RELEASE(SessionOptions);
  /// @}
  /// \name OrtCustomOpDomain
  /// @{
  ORT_CLASS_RELEASE(CustomOpDomain);

  /// @}
  /// \name OrtTypeInfo
  /// @{

  /** \brief Get denotation from type information
  *
  * Augments ::OrtTypeInfo to return denotations on the type.
  *
  * This is used by WinML to determine if an input/output is intended to be an Image or a Tensor.
  *
  * \param[in] type_info
  * \param[out] denotation Pointer to the null terminated denotation string is written to this pointer. This pointer is valid until the object is destroyed or the name is changed, do not free.
  * \param[out] len Length in bytes of the string returned in `denotation`
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(GetDenotationFromTypeInfo, _In_ const OrtTypeInfo* type_info, _Out_ const char** const denotation,
                  _Out_ size_t* len);

  /** \brief Get detailed map information from an ::OrtTypeInfo
  *
  * This augments ::OrtTypeInfo to return an ::OrtMapTypeInfo when the type is a map.
  * The OrtMapTypeInfo has additional information about the map's key type and value type.
  *
  * This is used by WinML to support model reflection APIs.
  *
  * \param[out] type_info
  * \param[out] out A pointer to the ::OrtMapTypeInfo. Do not free this value
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(CastTypeInfoToMapTypeInfo, _In_ const OrtTypeInfo* type_info,
                  _Outptr_result_maybenull_ const OrtMapTypeInfo** out);

  /** \brief Cast ::OrtTypeInfo to an ::OrtSequenceTypeInfo
  *
  * This api augments ::OrtTypeInfo to return an ::OrtSequenceTypeInfo when the type is a sequence.
	* The ::OrtSequenceTypeInfo has additional information about the sequence's element type.
  *
  * This is used by WinML to support model reflection APIs.
	*
  * \param[in] type_info
	* \param[out] out A pointer to the OrtSequenceTypeInfo. Do not free this value
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(CastTypeInfoToSequenceTypeInfo, _In_ const OrtTypeInfo* type_info,
                  _Outptr_result_maybenull_ const OrtSequenceTypeInfo** out);

  /// @}
  /// \name OrtMapTypeInfo
  /// @{

  /** \brief Get key type from an ::OrtMapTypeInfo
  *
  * Key types are restricted to being scalar types.
  *
  * This is used by WinML to support model reflection APIs.
  *
  * \param[in] map_type_info
  * \param[out] out
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(GetMapKeyType, _In_ const OrtMapTypeInfo* map_type_info, _Out_ enum ONNXTensorElementDataType* out);

  /** \brief Get the value type from an ::OrtMapTypeInfo
  *
  * \param[in] map_type_info
  * \param[out] type_info
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(GetMapValueType, _In_ const OrtMapTypeInfo* map_type_info, _Outptr_ OrtTypeInfo** type_info);

  /// @}
  /// \name OrtSequenceTypeInfo
  /// @{

  /** \brief Get element type from an ::OrtSequenceTypeInfo
  *
  * This is used by WinML to support model reflection APIs.
  *
  * \param[in] sequence_type_info
  * \param[out] type_info
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(GetSequenceElementType, _In_ const OrtSequenceTypeInfo* sequence_type_info,
                  _Outptr_ OrtTypeInfo** type_info);

  /// @}
  /// \name OrtMapTypeInfo
  /// @{
  ORT_CLASS_RELEASE(MapTypeInfo);
  /// @}
  /// \name OrtSequenceTypeInfo
  /// @{
  ORT_CLASS_RELEASE(SequenceTypeInfo);

  /// @}
  /// \name OrtSession
  /// @{

  /** \brief End profiling and return filename of the profile data
  *
  * Profiling is turned on through OrtApi::EnableProfiling
  *
  * \param[in] session
  * \param[in] allocator
  * \param[out] out Null terminated string of the filename, allocated using `allocator`. Must be freed using `allocator`
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(SessionEndProfiling, _In_ OrtSession* session, _Inout_ OrtAllocator* allocator, _Outptr_ char** out);

  /** \brief Get ::OrtModelMetadata from an ::OrtSession
  *
  * \param[in] session
  * \param[out] out Newly created ::OrtModelMetadata. Must be freed using OrtApi::ReleaseModelMetadata
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(SessionGetModelMetadata, _In_ const OrtSession* session, _Outptr_ OrtModelMetadata** out);

  /// @}
  /// \name OrtModelMetadata
  /// @{

  /** \brief Get `producer name` from an ::OrtModelMetadata
  *
  * \param[in] model_metadata
  * \param[in] allocator
  * \param[out] value Set to a null terminated string allocated using `allocator`. Must be freed using `allocator`
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(ModelMetadataGetProducerName, _In_ const OrtModelMetadata* model_metadata,
                  _Inout_ OrtAllocator* allocator, _Outptr_ char** value);

  /** \brief Get `graph name` from an ::OrtModelMetadata
  *
  * \param[in] model_metadata
  * \param[in] allocator
  * \param[out] value Set to a null terminated string allocated using `allocator`. Must be freed using `allocator`
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(ModelMetadataGetGraphName, _In_ const OrtModelMetadata* model_metadata,
                  _Inout_ OrtAllocator* allocator, _Outptr_ char** value);

  /** \brief Get `domain` from an ::OrtModelMetadata
  *
  * \param[in] model_metadata
  * \param[in] allocator
  * \param[out] value Set to a null terminated string allocated using `allocator`. Must be freed using `allocator`
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(ModelMetadataGetDomain, _In_ const OrtModelMetadata* model_metadata, _Inout_ OrtAllocator* allocator,
                  _Outptr_ char** value);

  /** \brief Get `description` from an ::OrtModelMetadata
  *
  * \param[in] model_metadata
  * \param[in] allocator
  * \param[out] value Set to a null terminated string allocated using `allocator`. Must be freed using `allocator`
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(ModelMetadataGetDescription, _In_ const OrtModelMetadata* model_metadata,
                  _Inout_ OrtAllocator* allocator, _Outptr_ char** value);

  /** \brief Return data for a key in the custom metadata map in an ::OrtModelMetadata
  *
  * \param[in] model_metadata
  * \param[in] allocator
  * \param[in] key Null terminated string
  * \param[out] value Set to a null terminated string allocated using `allocator`. Must be freed using `allocator`
  * `value` will be set to nullptr if the given key is not found in the custom metadata map.
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(ModelMetadataLookupCustomMetadataMap, _In_ const OrtModelMetadata* model_metadata,
                  _Inout_ OrtAllocator* allocator, _In_ const char* key, _Outptr_result_maybenull_ char** value);

  /** \brief Get version number from an ::OrtModelMetadata
  *
  * \param[in] model_metadata
  * \param[out] value Set to the version number
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(ModelMetadataGetVersion, _In_ const OrtModelMetadata* model_metadata, _Out_ int64_t* value);

  ORT_CLASS_RELEASE(ModelMetadata);

  /// @}
  /// \name OrtEnv
  /// @{

  /** \brief Create an OrtEnv
  *
  * Create an environment with global threadpools that will be shared across sessions.
  * Use this in conjunction with OrtApi::DisablePerSessionThreads or else the session will use
  * its own thread pools.
  *
  * \param[in] log_severity_level The log severity level.
  * \param[in] logid The log identifier.
  * \param[in] tp_options
  * \param[out] out Returned newly created OrtEnv. Must be freed with OrtApi::ReleaseEnv
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(CreateEnvWithGlobalThreadPools, OrtLoggingLevel log_severity_level, _In_ const char* logid,
                  _In_ const OrtThreadingOptions* tp_options, _Outptr_ OrtEnv** out);

  /// @}
  /// \name OrtSessionOptions
  /// @{

  /** \brief Use global thread pool on a session
  *
  * Disable using per session thread pool and use the shared global threadpool.
  * This should be used in conjunction with OrtApi::CreateEnvWithGlobalThreadPools.
  *
  * \param[in] options
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(DisablePerSessionThreads, _Inout_ OrtSessionOptions* options);

  /// @}
  /// \name OrtThreadingOptions
  /// @{

  /** \brief Create an ::OrtThreadingOptions
  *
  * \param[out] out Newly created ::OrtThreadingOptions. Must be freed with OrtApi::ReleaseThreadingOptions
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(CreateThreadingOptions, _Outptr_ OrtThreadingOptions** out);

  ORT_CLASS_RELEASE(ThreadingOptions);

  /// @}
  /// \name OrtModelMetadata
  /// @{

  /**
  *
  * \param[in] model_metadata
  * \param[in] allocator
  * \param[out] keys Array of null terminated strings (array count = num_keys) allocated using `allocator`.
  *  The strings and the pointer array must be freed using `allocator`
  *  `keys` will be set to nullptr if the custom metadata map is empty.
  * \param[out] num_keys Set to the number of elements in the `keys` array
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(ModelMetadataGetCustomMetadataMapKeys, _In_ const OrtModelMetadata* model_metadata,
                  _Inout_ OrtAllocator* allocator, _Outptr_result_buffer_maybenull_(*num_keys) char*** keys, _Out_ int64_t* num_keys);

  /// @}
  /// \name OrtSessionOptions
  /// @{

  /**
  *
  * Override symbolic dimensions (by specific name strings) with actual values
  * if known at session initialization time to enable optimizations that can
  * take advantage of fixed values (such as memory planning, etc)
  *
  */
  ORT_API2_STATUS(AddFreeDimensionOverrideByName,
                  _Inout_ OrtSessionOptions* options, _In_ const char* dim_name,
                  _In_ int64_t dim_value);

  /// @}
  /// \name Misc
  /// @{

  /** \brief Get the names of all available providers
  *
  * \note The providers in the list are not guaranteed to be usable. They may fail to load due to missing system dependencies.
  *    For example, if the CUDA/cuDNN libraries are not installed, the CUDA provider will report an error when it is added to the session options.
  *
  * \param[out] out_ptr Set to a pointer to an array of null terminated strings of the available providers. The entries and the
  *    array itself must be freed using OrtApi::ReleaseAvailableProviders
  * \param[out] provider_length Set to the number of entries in the `out_ptr` array
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(GetAvailableProviders, _Outptr_ char*** out_ptr, _Out_ int* provider_length);

  /** \brief Release data from OrtApi::GetAvailableProviders
  *
  * \param[in] ptr The `out_ptr` result from OrtApi::GetAvailableProviders.
  * \param[in] providers_length The `provider_length` result from OrtApi::GetAvailableProviders
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(ReleaseAvailableProviders, _In_ char** ptr,
                  _In_ int providers_length);

  /// @}
  /// \name OrtValue
  /// @{

  /** \brief Get the length of a single string in a string tensor
  *
  * \param[in] value A string tensor
  * \param[in] index Index of the string in the tensor
  * \param[out] out Set to number of bytes of the string element
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(GetStringTensorElementLength, _In_ const OrtValue* value, size_t index, _Out_ size_t* out);

  /** \brief Get a single string from a string tensor
  *
  * \param[in] value A string tensor
  * \param[in] s_len Number of bytes in the `s` buffer. Must match the value returned by OrtApi::GetStringTensorElementLength.
  * \param[in] index Index of the string in the tensor
  * \param[out] s The string element contents in UTF-8 encoding. The string is NOT null-terminated.
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(GetStringTensorElement, _In_ const OrtValue* value, size_t s_len, size_t index, _Out_writes_bytes_all_(s_len) void* s);

  /** \brief Set a single string in a string tensor
  *
  * \param[in] value A string tensor
  * \param[in] s A null terminated UTF-8 encoded string
  * \param[in] index Index of the string in the tensor to set
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(FillStringTensorElement, _Inout_ OrtValue* value, _In_ const char* s, size_t index);

  /// @}
  /// \name OrtSessionOptions
  /// @{

  /** \brief Set a session configuration entry as a pair of strings
  *
  * If a configuration with same key exists, this will overwrite the configuration with the given config_value.
  *
  * The config_key and the format of config_value are defined in onnxruntime_session_options_config_keys.h
  *
  * \param[in] options
  * \param[in] config_key A null terminated string representation of the config key
  * \param[in] config_value A null terminated string representation of the config value
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(AddSessionConfigEntry, _Inout_ OrtSessionOptions* options,
                  _In_z_ const char* config_key, _In_z_ const char* config_value);

  /// @}
  /// \name OrtAllocator
  /// @{

  /** \brief Create an allocator for an ::OrtSession following an ::OrtMemoryInfo
  *
  * \param[in] session
  * \param[in] mem_info valid ::OrtMemoryInfo instance
  * \param[out] out Newly created ::OrtAllocator. Must be freed with OrtApi::ReleaseAllocator
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(CreateAllocator, _In_ const OrtSession* session, _In_ const OrtMemoryInfo* mem_info,
                  _Outptr_ OrtAllocator** out);

  /** \brief Release an ::OrtAllocator obtained from OrtApi::CreateAllocator
  */
  ORT_CLASS_RELEASE(Allocator);

  /// @}
  /// \name OrtSession
  /// @{

  /** \brief Run a model using Io Bindings for the inputs & outputs
  *
  * \see OrtApi::Run
  *
  * \param[in] session
  * \param[in] run_options
  * \param[in] binding_ptr
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(RunWithBinding, _Inout_ OrtSession* session, _In_ const OrtRunOptions* run_options, _In_ const OrtIoBinding* binding_ptr);

  /** \brief Create an ::OrtIoBinding instance
  *
  * An IoBinding object allows one to bind pre-allocated ::OrtValue%s to input names.
  * Thus if you want to use a raw on device buffer as input or output you can avoid
  * extra copy during runtime.
  *
  * \param[in] session
  * \param[out] out Newly created ::OrtIoBinding. Must be freed with OrtApi::ReleaseIoBinding
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(CreateIoBinding, _Inout_ OrtSession* session, _Outptr_ OrtIoBinding** out);

  /// @}
  /// \name OrtIoBinding
  /// @{

  /** \brief Release an ::OrtIoBinding obtained from OrtApi::CreateIoBinding
  */
  ORT_CLASS_RELEASE(IoBinding);

  /** \brief Bind an ::OrtValue to an ::OrtIoBinding input
  *
  * When using OrtApi::RunWithBinding this value is used for the named input
  *
  * \param[in] binding_ptr
  * \param[in] name Name for the model input
  * \param[in] val_ptr ::OrtValue of Tensor type.
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(BindInput, _Inout_ OrtIoBinding* binding_ptr, _In_ const char* name, _In_ const OrtValue* val_ptr);

  /** \brief Bind an ::OrtValue to an ::OrtIoBinding output
  *
  * When using OrtApi::RunWithBinding this value is used for the named output
  *
  * \param[in] binding_ptr
  * \param[in] name Null terminated string of the model output name
  * \param[in] val_ptr ::OrtValue of Tensor type.
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(BindOutput, _Inout_ OrtIoBinding* binding_ptr, _In_ const char* name, _In_ const OrtValue* val_ptr);

  /** \brief Bind an ::OrtIoBinding output to a device
  *
  * Binds the ::OrtValue to a device which is specified by ::OrtMemoryInfo.
  * You can either create an instance of ::OrtMemoryInfo with a device id or obtain one from the allocator that you have created/are using
  * This is useful when one or more outputs have dynamic shapes and, it is hard to pre-allocate and bind a chunk of
  * memory within ::OrtValue ahead of time.
  *
  * \see OrtApi::RunWithBinding
  *
  * \param[in] binding_ptr
  * \param[in] name Null terminated string of the device name
  * \param[in] mem_info_ptr
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(BindOutputToDevice, _Inout_ OrtIoBinding* binding_ptr, _In_ const char* name, _In_ const OrtMemoryInfo* mem_info_ptr);

  /** \brief Get the names of an ::OrtIoBinding's outputs
  *
  * Returns the names of the outputs in the order they were bound. This is useful after running the model
  * with bound outputs because the returned names are in order in which output ::OrtValue are returned. This is useful if
  * the order of outputs and their names is not known.
  *
  * \param[in] binding_ptr
  * \param[in] allocator Allocator used to allocate continuous buffers for output strings and lengths.
  * \param[out] buffer Returns an array of non-null terminated UTF-8 strings. The number of strings stored is returned in the count parameter.
  *   This buffer is allocated using `allocator` and must be freed using it.
  * \param[out] lengths Returns an array of `count` lengths of the strings returned in `buffer`
  *   This buffer is allocated using `allocator` and must be freed using it.
  * \param[out] count Number of strings returned. If `binding_ptr` has no bound outputs, zero is returned,
  *              no memory allocation is performed and buffer and lengths are set to nullptr.
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(GetBoundOutputNames, _In_ const OrtIoBinding* binding_ptr, _In_ OrtAllocator* allocator,
                  _Out_ char** buffer, _Out_writes_all_(count) size_t** lengths, _Out_ size_t* count);

  /** \brief Get the output ::OrtValue objects from an ::OrtIoBinding
  *
  * Returns an array of pointers to individually allocated ::OrtValue%s that contain results of a model execution with OrtApi::RunWithBinding
  * The array contains the same number of ::OrtValue%s and they are in the same order as they were bound with OrtApi::BindOutput
  * or OrtApi::BindOutputToDevice.
  *
  * The returned ::OrtValue%s must be released using OrtApi::ReleaseValue after they are no longer needed.
  * The array is allocated using the specified instance of the allocator and must be freed using the same allocator after
  * all the ::OrtValue%s contained therein are individually released.
  *
  * \param[in] binding_ptr
  * \param[in] allocator Allocator used to allocate output array
  * \param[out] output Set to the allocated array of allocated ::OrtValue outputs. Set to nullptr if there are 0 outputs.
  * \param[out] output_count Set to number of ::OrtValue%s returned
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(GetBoundOutputValues, _In_ const OrtIoBinding* binding_ptr, _In_ OrtAllocator* allocator,
                  _Out_writes_all_(output_count) OrtValue*** output, _Out_ size_t* output_count);

  /** \brief Clears any previously set Inputs for an ::OrtIoBinding
   */
  void(ORT_API_CALL* ClearBoundInputs)(_Inout_ OrtIoBinding* binding_ptr) NO_EXCEPTION ORT_ALL_ARGS_NONNULL;

  /** \brief Clears any previously set Outputs for an ::OrtIoBinding
   */
  void(ORT_API_CALL* ClearBoundOutputs)(_Inout_ OrtIoBinding* binding_ptr) NO_EXCEPTION ORT_ALL_ARGS_NONNULL;

  /// @}
  /// \name OrtValue
  /// @{

  /** \brief Direct memory access to a specified tensor element
  *
  * For example, given a tensor with shape of [3,224,224], a pointer to the element at location [2,150,128] can be retrieved
  *
  * This function only works for numeric type tensors (No strings, etc).
  * This is a no-copy method whose returned pointer is valid until the passed in ::OrtValue is free'd.
  *
  * \param[in] value
  * \param[in] location_values Pointer to an array of index values that specify an element's location relative to its shape
  * \param[in] location_values_count Number of elements in location_values. Must match the number of elements in the tensor's shape.
  * \param[out] out Set to a pointer to the element specified
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(TensorAt, _Inout_ OrtValue* value, const int64_t* location_values, size_t location_values_count, _Outptr_ void** out);

  /// @}
  /// \name OrtEnv
  /// @{

  /** \brief Create an allocator and register it with the ::OrtEnv
  *
  * Enables sharing the allocator between multiple sessions that use the same env instance.
  * Lifetime of the created allocator will be valid for the duration of the environment.
  * Returns an error if an allocator with the same ::OrtMemoryInfo is already registered.
  *
  * See https://onnxruntime.ai/docs/reference/api/c-api.html for details.
  *
  * \param[in] env ::OrtEnv instance
  * \param[in] mem_info
  * \param[in] arena_cfg Pass nullptr for defaults
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(CreateAndRegisterAllocator, _Inout_ OrtEnv* env, _In_ const OrtMemoryInfo* mem_info,
                  _In_ const OrtArenaCfg* arena_cfg);

  /** \brief Set language projection
  *
  * Set the language projection for collecting telemetry data when Env is created.
  *
  * The default is ORT_PROJECTION_C, which means it will classify the language not in the list to C also.
  *
  * \param[in] ort_env
  * \param[in] projection
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(SetLanguageProjection, _In_ const OrtEnv* ort_env, _In_ OrtLanguageProjection projection);

  /// @}
  /// \name OrtSession
  /// @{

  /** \brief Return the time that profiling was started
  *
  * \note The timer precision varies per platform. On Windows and MacOS, the precision will be ~100ns
  *
  * \param[in] session
  * \param[out] out nanoseconds of profiling's start time
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(SessionGetProfilingStartTimeNs, _In_ const OrtSession* session, _Outptr_ uint64_t* out);

  /// @}
  /// \name OrtThreadingOptions
  /// @{

  /** \brief Set global intra-op thread count
  *
  * This configures the global thread pool options to be used in the call to OrtApi::CreateEnvWithGlobalThreadPools
  *
  * \param[in] tp_options
  * \param[in] intra_op_num_threads Number of threads, special values:<br>
  *    0 = Use default thread count<br>
  *    1 = The invoking thread will be used; no threads will be created in the thread pool.
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(SetGlobalIntraOpNumThreads, _Inout_ OrtThreadingOptions* tp_options, int intra_op_num_threads);

  /** \brief Set global inter-op thread count
  *
  * This configures the global thread pool options to be used in the call to OrtApi::CreateEnvWithGlobalThreadPools
  *
  * \param[in] tp_options
  * \param[in] inter_op_num_threads Number of threads, special values:<br>
  *    0 = Use default thread count<br>
  *    1 = The invoking thread will be used; no threads will be created in the thread pool.
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(SetGlobalInterOpNumThreads, _Inout_ OrtThreadingOptions* tp_options, int inter_op_num_threads);

  /** \brief Set global spin control options
  *
  * This will configure the global thread pool options to be used in the call to OrtApi::CreateEnvWithGlobalThreadPools.
  * Allow spinning of thread pools when their queues are empty. This will set the value for both
  * inter_op and intra_op threadpools.
  *
  * \param[in] tp_options
  * \param[in] allow_spinning Valid values are 0 or 1.<br>
  *   0 = It won't spin (recommended if CPU usage is high)<br>
  *   1 = Threadpool will spin to wait for queue to become non-empty
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(SetGlobalSpinControl, _Inout_ OrtThreadingOptions* tp_options, int allow_spinning);

  /// @}
  /// \name OrtSessionOptions
  /// @{

  /** \brief Add a pre-allocated initializer to a session
  *
  * If a model contains an initializer with a name that is same as the name passed to this call,
  * ORT will use this initializer instance instead of deserializing one from the model file. This
  * is useful when you want to share the same initializer across sessions.
  *
  * \param[in] options
  * \param[in] name Null terminated string of the initializer name
  * \param[in] val ::OrtValue containing the initializer. Its lifetime and the underlying initializer buffer must be
  *   managed by the user (created using the OrtApi::CreateTensorWithDataAsOrtValue) and it must outlive the session object
  *   to which it is added.
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(AddInitializer, _Inout_ OrtSessionOptions* options, _In_z_ const char* name,
                  _In_ const OrtValue* val);

  /// @}
  /// \name OrtEnv
  /// @{

  /**
  * Create a custom environment with global threadpools and logger that will be shared across sessions.
  * Use this in conjunction with OrtApi::DisablePerSessionThreads or else the session will use
  * its own thread pools.
  *
  * \param[in] logging_function A pointer to a logging function.
  * \param[in] logger_param A pointer to arbitrary data passed as the ::OrtLoggingFunction `param` parameter to
  *                         `logging_function`.
  * \param[in] log_severity_level The log severity level.
  * \param[in] logid The log identifier.
  * \param[in] tp_options
  * \param[out] out Newly created OrtEnv. Must be freed with OrtApi::ReleaseEnv
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(CreateEnvWithCustomLoggerAndGlobalThreadPools, OrtLoggingFunction logging_function, _In_opt_ void* logger_param, OrtLoggingLevel log_severity_level,
                  _In_ const char* logid, _In_ const struct OrtThreadingOptions* tp_options, _Outptr_ OrtEnv** out);

  /// @}
  /// \name OrtSessionOptions
  /// @{

  /** \brief Append CUDA provider to session options
  *
  * If CUDA is not available (due to a non CUDA enabled build, or if CUDA is not installed on the system), this function will return failure.
  *
  * \param[in] options
  * \param[in] cuda_options
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(SessionOptionsAppendExecutionProvider_CUDA,
                  _In_ OrtSessionOptions* options, _In_ const OrtCUDAProviderOptions* cuda_options);

  /** \brief Append ROCM execution provider to the session options
  *
  * If ROCM is not available (due to a non ROCM enabled build, or if ROCM is not installed on the system), this function will return failure.
  *
  * \param[in] options
  * \param[in] rocm_options
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(SessionOptionsAppendExecutionProvider_ROCM,
                  _In_ OrtSessionOptions* options, _In_ const OrtROCMProviderOptions* rocm_options);

  /** \brief Append OpenVINO execution provider to the session options
  *
  * If OpenVINO is not available (due to a non OpenVINO enabled build, or if OpenVINO is not installed on the system), this function will fail.
  *
  * \param[in] options
  * \param[in] provider_options
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(SessionOptionsAppendExecutionProvider_OpenVINO,
                  _In_ OrtSessionOptions* options, _In_ const OrtOpenVINOProviderOptions* provider_options);

  /// @}
  /// \name OrtThreadingOptions
  /// @{

  /** \brief Set threading flush-to-zero and denormal-as-zero
  *
  * Sets global thread pool options to be used in the call to OrtApi::CreateEnvWithGlobalThreadPools.
  * Flush-to-zero and denormal-as-zero are applied to threads in both intra and inter global thread pool.
  * \note This option is not needed if the models used have no denormals. Having no denormals is recommended as this option may hurt model accuracy.
  *
  * \param[in] tp_options
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(SetGlobalDenormalAsZero, _Inout_ OrtThreadingOptions* tp_options);

  /// @}
  /// \name OrtArenaCfg
  /// @{

  /** \deprecated Use OrtApi::CreateArenaCfgV2
  *
  * This will create the configuration of an arena that can eventually be used to define an arena based allocator's behavior
  *
  * \param[in] max_mem Use 0 to allow ORT to choose the default
  * \param[in] arena_extend_strategy Use -1 to allow ORT to choose the default, 0 = kNextPowerOfTwo, 1 = kSameAsRequested
  * \param[in] initial_chunk_size_bytes Use -1 to allow ORT to choose the default
  * \param[in] max_dead_bytes_per_chunk Use -1 to allow ORT to choose the default
  * \param[in] out A pointer to an OrtArenaCfg instance
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(CreateArenaCfg, _In_ size_t max_mem, int arena_extend_strategy, int initial_chunk_size_bytes,
                  int max_dead_bytes_per_chunk, _Outptr_ OrtArenaCfg** out);

  ORT_CLASS_RELEASE(ArenaCfg);

  /// @}
  /// \name OrtModelMetadata
  /// @{

  /**
  * Use this to obtain the description of the graph present in the model
  * (doc_string field of the GraphProto message within the ModelProto message).
  * If it doesn't exist, an empty string will be returned.
  *
  * \param[in] model_metadata An instance of ::OrtModelMetadata
  * \param[in] allocator Allocator used to allocate the string that will be returned back
  * \param[out] value Set to a null terminated string allocated using `allocator`.  The caller is responsible for freeing it using `allocator`
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(ModelMetadataGetGraphDescription, _In_ const OrtModelMetadata* model_metadata,
                  _Inout_ OrtAllocator* allocator, _Outptr_ char** value);

  /// @}
  /// \name OrtSessionOptions
  /// @{

  /** \brief Append TensorRT provider to session options
  *
  * If TensorRT is not available (due to a non TensorRT enabled build, or if TensorRT is not installed on the system), this function will return failure.
  *
  * \param[in] options
  * \param[in] tensorrt_options
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(SessionOptionsAppendExecutionProvider_TensorRT,
                  _In_ OrtSessionOptions* options, _In_ const OrtTensorRTProviderOptions* tensorrt_options);

  /// @}
  /// \name Misc
  /// @{

  /** \brief Set current GPU device ID
  *
  * Set the current device id of the GPU execution provider (CUDA/tensorrt/rocm). The device id should be less
  * than the total number of devices available. This is only useful when multiple-GPUs are installed and it is
  * required to restrict execution to a single GPU.
  *
  * \param[in] device_id
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(SetCurrentGpuDeviceId, _In_ int device_id);

  /** \brief Get current GPU device ID
  *
  * Get the current device id of the GPU execution provider (CUDA/tensorrt/rocm).
  *
  * \see OrtApi::SetCurrentGpuDeviceId
  *
  * \param[out] device_id
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(GetCurrentGpuDeviceId, _In_ int* device_id);

  /// @}
  /// \name OrtKernelInfo
  /// @{

  /** \brief Fetch an array of int64_t values stored as an attribute in the graph node
  *
  *
  * If `out` is nullptr, the value of `size` is set to the true size of the attribute
  * array's size, and a success status is returned.
  *
  * If the `size` parameter is greater than or equal to the actual attribute array's size,
  * the value of `size` is set to the true size of the attribute array's size,
  * the provided memory is filled with the attribute's contents,
  * and a success status is returned.
  *
  * If the `size` parameter is less than the actual attribute array's size and `out`
  * is not nullptr, the value of `size` is set to the true size of the attribute array's size
  * and a failure status is returned.)
  *
  * \param[in] info instance
  * \param[in] name name of the attribute to be parsed
  * \param[out] out pointer to memory where the attribute's contents are to be stored
  * \param[in, out] size actual size of attribute array
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(KernelInfoGetAttributeArray_float, _In_ const OrtKernelInfo* info, _In_ const char* name,
                  _Out_ float* out, _Inout_ size_t* size);

  /** \brief Fetch an array of int64_t values stored as an attribute in the graph node
  *
  * If `out` is nullptr, the value of `size` is set to the true size of the attribute
  * array's size, and a success status is returned.
  *
  * If the `size` parameter is greater than or equal to the actual attribute array's size,
  * the value of `size` is set to the true size of the attribute array's size,
  * the provided memory is filled with the attribute's contents,
  * and a success status is returned.
  *
  * If the `size` parameter is less than the actual attribute array's size and `out`
  * is not nullptr, the value of `size` is set to the true size of the attribute array's size
  * and a failure status is returned.)
  *
  * \param[in] info instance
  * \param[in] name name of the attribute to be parsed
  * \param[out] out pointer to memory where the attribute's contents are to be stored
  * \param[in, out] size actual size of attribute array
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(KernelInfoGetAttributeArray_int64, _In_ const OrtKernelInfo* info, _In_ const char* name,
                  _Out_ int64_t* out, _Inout_ size_t* size);

  /// @}
  /// \name OrtArenaCfg
  /// @{

  /** \brief Create an ::OrtArenaCfg
  *
  * Create the configuration of an arena that can eventually be used to define an arena based allocator's behavior.
  *
  * Supported keys are (See https://onnxruntime.ai/docs/reference/api/c-api.html for details on what the
  * following parameters mean and how to choose these values.):
  * "max_mem": Maximum memory that can be allocated by the arena based allocator.
  *  Use 0 for ORT to pick the best value. Default is 0.
  * "arena_extend_strategy": 0 = kNextPowerOfTwo, 1 = kSameAsRequested.
  *  Use -1 to allow ORT to choose the default.
  * "initial_chunk_size_bytes": (Possible) Size of the first allocation in the arena.
  *  Only relevant if arena strategy is `kNextPowerOfTwo`. Use -1 to allow ORT to choose the default.
  *  Ultimately, the first allocation size is determined by the allocation memory request.
  * "max_dead_bytes_per_chunk": Threshold of unused memory in an allocated chunk of arena memory after
  *  crossing which the current chunk is chunked into 2.
  * "initial_growth_chunk_size_bytes": (Possible) Size of the second allocation in the arena.
  *  Only relevant if arena strategy is `kNextPowerOfTwo`. Use -1 to allow ORT to choose the default.
  *  Ultimately, the allocation size is determined by the allocation memory request.
  *  Further allocation sizes are governed by the arena extend strategy.
  *
  * \param[in] arena_config_keys Keys to configure the arena
  * \param[in] arena_config_values Values to configure the arena
  * \param[in] num_keys Number of keys in `arena_config_keys` and `arena_config_values`
  * \param[out] out Newly created ::OrtArenaCfg. Must be freed with OrtApi::ReleaseArenaCfg
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(CreateArenaCfgV2, _In_reads_(num_keys) const char* const* arena_config_keys,
                  _In_reads_(num_keys) const size_t* arena_config_values, _In_ size_t num_keys,
                  _Outptr_ OrtArenaCfg** out);

  /// @}
  /// \name OrtRunOptions
  /// @{

  /** \brief Set a single run configuration entry as a pair of strings
  *
  * If a configuration with same key exists, this will overwrite the configuration with the given config_value
  *
  * The config_key and the format of config_value are defined in onnxruntime_run_options_config_keys.h
  *
  * \param[in] options
  * \param[in] config_key A null terminated string representation of the config key
  * \param[in] config_value  A null terminated string representation of the config value
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(AddRunConfigEntry, _Inout_ OrtRunOptions* options,
                  _In_z_ const char* config_key, _In_z_ const char* config_value);

  /// @}
  /// \name OrtPrepackedWeightsContainer
  /// @{

  /** \brief Create an ::OrtPrepackedWeightsContainer
  *
  * This container will hold pre-packed buffers of shared initializers for sharing between sessions
  * (i.e.) if there are shared initializers that can be shared between sessions, the pre-packed buffers
  * of these (if any) may possibly be shared to provide memory footprint savings. Pass this container
  * to sessions that you would like to share pre-packed buffers of shared initializers at session
  * creation time.
  *
  *  \param[out] out Newly created ::OrtPrepackedWeightsContainer. Must be freed with OrtApi::ReleasePrepackedWeightsContainer
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(CreatePrepackedWeightsContainer, _Outptr_ OrtPrepackedWeightsContainer** out);

  /** \brief Release OrtPrepackedWeightsContainer instance
  *
  * \note instance must not be released until the sessions using it are released
  */
  ORT_CLASS_RELEASE(PrepackedWeightsContainer);

  /// @}
  /// \name OrtSession
  /// @{

  /** \brief Create session with prepacked weights container
  *
  * Same functionality offered by OrtApi::CreateSession except that a container that contains
  * pre-packed weights' buffers is written into/read from by the created session.
  * This is useful when used in conjunction with OrtApi::AddInitializer which injects
  * shared initializer info into sessions. Wherever possible, the pre-packed versions of these
  * shared initializers are cached in this container so that multiple sessions can just re-use
  * these instead of duplicating these in memory.
  *
  * \param[in] env OrtEnv instance instance
  * \param[in] model_path Null terminated string of the path (wchar on Windows, char otherwise)
  * \param[in] options
  * \param[in] prepacked_weights_container
  * \param[out] out Newly created ::OrtSession. Must be freed with OrtApi::ReleaseSession
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(CreateSessionWithPrepackedWeightsContainer, _In_ const OrtEnv* env, _In_ const ORTCHAR_T* model_path,
                  _In_ const OrtSessionOptions* options, _Inout_ OrtPrepackedWeightsContainer* prepacked_weights_container,
                  _Outptr_ OrtSession** out);

  /** \brief Create session from memory with prepacked weights container
  *
  * Same functionality offered by OrtApi::CreateSessionFromArray except that a container that contains
  * pre-packed weights' buffers is written into/read from by the created session.
  * This is useful when used in conjunction with OrtApi::AddInitializer which injects
  * shared initializer info into sessions. Wherever possible, the pre-packed versions of these
  * shared initializers are cached in this container so that multiple sessions can just re-use
  * these instead of duplicating these in memory.
  *
  * \param[in] env
  * \param[in] model_data Array of bytes holding the model
  * \param[in] model_data_length Number of bytes in `model_data_model`
  * \param[in] options
  * \param[in] prepacked_weights_container
  * \param[out] out Newly created ::OrtSession. Must be freed with OrtApi::ReleaseSession
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(CreateSessionFromArrayWithPrepackedWeightsContainer, _In_ const OrtEnv* env,
                  _In_ const void* model_data, size_t model_data_length,
                  _In_ const OrtSessionOptions* options, _Inout_ OrtPrepackedWeightsContainer* prepacked_weights_container,
                  _Outptr_ OrtSession** out);

  /// @}
  /// \name OrtSessionOptions
  /// @{

  /** \brief Append TensorRT execution provider to the session options
  *
  * If TensorRT is not available (due to a non TensorRT enabled build), this function will return failure.
  *
  * This is slightly different from OrtApi::SessionOptionsAppendExecutionProvider_TensorRT, it takes an
  * ::OrtTensorRTProviderOptions which is publicly defined. This takes an opaque ::OrtTensorRTProviderOptionsV2
  * which must be created with OrtApi::CreateTensorRTProviderOptions.
  *
  * For OrtApi::SessionOptionsAppendExecutionProvider_TensorRT, the user needs to instantiate ::OrtTensorRTProviderOptions
  * as well as allocate/release buffers for some members of ::OrtTensorRTProviderOptions.
  * Here, OrtApi::CreateTensorRTProviderOptions and Ortapi::ReleaseTensorRTProviderOptions will do the memory management for you.
  *
  * \param[in] options
  * \param[in] tensorrt_options
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(SessionOptionsAppendExecutionProvider_TensorRT_V2,
                  _In_ OrtSessionOptions* options, _In_ const OrtTensorRTProviderOptionsV2* tensorrt_options);

  /// @}
  /// \name OrtTensorRTProviderOptionsV2
  /// @{

  /** \brief Create an OrtTensorRTProviderOptionsV2
  *
  * \param[out] out Newly created ::OrtTensorRTProviderOptionsV2. Must be released with OrtApi::ReleaseTensorRTProviderOptions
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(CreateTensorRTProviderOptions, _Outptr_ OrtTensorRTProviderOptionsV2** out);

  /** \brief Set options in a TensorRT Execution Provider.
  *
  * Please refer to https://www.onnxruntime.ai/docs/reference/execution-providers/TensorRT-ExecutionProvider.html#c-api-example
  * to know the available keys and values. Key should be in null terminated string format of the member of ::OrtTensorRTProviderOptionsV2
  * and value should be its related range.
  *
  * For example, key="trt_max_workspace_size" and value="2147483648"
  *
  * \param[in] tensorrt_options
  * \param[in] provider_options_keys Array of UTF-8 null-terminated string for provider options keys
  * \param[in] provider_options_values Array of UTF-8 null-terminated string for provider options values
  * \param[in] num_keys Number of elements in the `provider_option_keys` and `provider_options_values` arrays
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(UpdateTensorRTProviderOptions, _Inout_ OrtTensorRTProviderOptionsV2* tensorrt_options,
                  _In_reads_(num_keys) const char* const* provider_options_keys,
                  _In_reads_(num_keys) const char* const* provider_options_values,
                  _In_ size_t num_keys);

  /** \brief Get serialized TensorRT provider options string.
  *
  * For example, "trt_max_workspace_size=2147483648;trt_max_partition_iterations=10;trt_int8_enable=1;......"
  *
  * \param tensorrt_options - OrTensorRTProviderOptionsV2 instance
  * \param allocator - a ptr to an instance of OrtAllocator obtained with OrtApi::CreateAllocator or OrtApi::GetAllocatorWithDefaultOptions
  *                      the specified allocator will be used to allocate continuous buffers for output strings and lengths.
  * \param ptr - is a UTF-8 null terminated string allocated using 'allocator'. The caller is responsible for using the same allocator to free it.
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(GetTensorRTProviderOptionsAsString, _In_ const OrtTensorRTProviderOptionsV2* tensorrt_options, _Inout_ OrtAllocator* allocator, _Outptr_ char** ptr);

  /** \brief Release an ::OrtTensorRTProviderOptionsV2
  *
  * \note This is an exception in the naming convention of other Release* functions, as the name of the method does not have the V2 suffix, but the type does
  */
  void(ORT_API_CALL* ReleaseTensorRTProviderOptions)(_Frees_ptr_opt_ OrtTensorRTProviderOptionsV2* input);

  /// @}
  /// \name OrtSessionOptions
  /// @{

  /** \brief Enable custom operators
  *
  * See onnxruntime-extensions: https://github.com/microsoft/onnxruntime-extensions.git
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(EnableOrtCustomOps, _Inout_ OrtSessionOptions* options);

  /// @}
  /// \name OrtAllocator
  /// @{

  /** \brief Register a custom allocator
  *
  * Enables sharing between multiple sessions that use the same env instance.
  * Returns an error if an allocator with the same ::OrtMemoryInfo is already registered.
  *
  * The behavior of this is exactly the same as OrtApi::CreateAndRegisterAllocator except
  * instead of ORT creating an allocator based on provided info, in this case
  * ORT uses the user-provided custom allocator.
  * See https://onnxruntime.ai/docs/reference/api/c-api.html for details.
  *
  * \param[in] env
  * \param[in] allocator User provided allocator
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(RegisterAllocator, _Inout_ OrtEnv* env, _In_ OrtAllocator* allocator);

  /** \brief Unregister a custom allocator
  *
  * It is an error if you provide an ::OrtMemoryInfo not corresponding to any
  * registered allocators for sharing.
  *
  * \param[in] env
  * \param[in] mem_info
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(UnregisterAllocator, _Inout_ OrtEnv* env,
                  _In_ const OrtMemoryInfo* mem_info);

  /// @}
  /// \name OrtValue
  /// @{

  /** \brief Sets *out to 1 iff an ::OrtValue is a SparseTensor, and 0 otherwise
  *
  * \param[in] value existing ::OrtValue
  * \param[out] out unless an error occurs, contains 1 iff the value contains an instance
  *  of sparse tensor or 0 otherwise.
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(IsSparseTensor, _In_ const OrtValue* value, _Out_ int* out);

  /** \brief Create an ::OrtValue with a sparse tensor that is empty.
  *
  * Use FillSparseTensor<Format>() functions to populate sparse tensor with non-zero values and
  * format specific indices data.
  * Use ReleaseValue to destroy the sparse tensor, this will also release the buffer inside the output value
  * if any was allocated.
  * \param[in,out] allocator allocator to use when performing an allocation. Allocation will be performed
  *   by FillSparseTensor<Format>() APIs. The lifespan of the allocator instance must eclipse the lifespan
  *   this sparse tensor instance as the same allocator will be used to free memory.
  * \param[in] dense_shape shape of the original dense tensor
  * \param[in] dense_shape_len number of shape dimensions being passed
  * \param[in] type must be one of TENSOR_ELEMENT_DATA_TYPE_xxxx
  * \param[out] out Should be freed by calling ReleaseValue
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(CreateSparseTensorAsOrtValue, _Inout_ OrtAllocator* allocator, _In_ const int64_t* dense_shape,
                  size_t dense_shape_len, ONNXTensorElementDataType type, _Outptr_ OrtValue** out);

  /**
  * This fills populates an empty tensor that was created using OrtApi::CreateSparseTensorAsOrtValue.
  * This will allocate required memory and copy the supplied NNZ values and COO indices into that memory allocation.
  * Memory allocation is performed using the allocator that was specified with OrtApi::CreateSparseTensorAsOrtValue.
  *
  * \param[in,out] ort_value ::OrtValue to populate with data
  * \param[in] data_mem_info serves to identify the location of the data to be copied. If the allocator specified
  *  at the creation time has memory info that is not the same as mem_info argument to this function a X-device copy will be performed.
  *  String data is assumed to be on CPU and will only be copied into a CPU allocated buffer.
  * \param[in] values_shape pointer to values shape array
  * \param[in] values_shape_len length of the values_shape
  * \param[in] values pointer to an array of values. For strings, pass const char**.
  * \param[in] indices_data pointer to a location of COO indices
  * \param[in] indices_num number of COO indices
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(FillSparseTensorCoo, _Inout_ OrtValue* ort_value, _In_ const OrtMemoryInfo* data_mem_info,
                  _In_ const int64_t* values_shape, size_t values_shape_len, _In_ const void* values,
                  _In_ const int64_t* indices_data, size_t indices_num);

  /**
  * This fills populates an empty tensor that was created using OrtApi::CreateSparseTensorAsOrtValue.
  * This will allocate required memory and copy the supplied NNZ values and CSR indices into that memory allocation.
  * Memory allocation is performed using the allocator that was specified with OrtApi::CreateSparseTensorAsOrtValue.
  *
  * \param[in,out] ort_value ::OrtValue to populate with data
  * \param[in] data_mem_info serves to identify the location of the data to be copied. If the allocator specified
  *  at the creation time has memory info that is not the same as mem_info argument to this function a X-device copy will be performed.
  *  String data is assumed to be on CPU and will only be copied into a CPU allocated buffer.
  * \param[in] values_shape pointer to values shape array
  * \param[in] values_shape_len length of the values_shape
  * \param[in] values - pointer to an array of values. For strings, pass const char**.
  * \param[in] inner_indices_data pointer to a location of CSR inner indices
  * \param[in] inner_indices_num number of CSR inner indices
  * \param[in] outer_indices_data pointer to a location of CSR outer indices
  * \param[in] outer_indices_num number of CSR outer indices
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(FillSparseTensorCsr, _Inout_ OrtValue* ort_value, _In_ const OrtMemoryInfo* data_mem_info,
                  _In_ const int64_t* values_shape, size_t values_shape_len, _In_ const void* values,
                  _In_ const int64_t* inner_indices_data, size_t inner_indices_num,
                  _In_ const int64_t* outer_indices_data, size_t outer_indices_num);

  /**
  * This fills populates an empty tensor that was created using OrtApi::CreateSparseTensorAsOrtValue.
  * This will allocate required memory and copy the supplied NNZ values and BlockSparse indices into that memory allocation.
  * Memory allocation is performed using the allocator that was specified with OrtApi::CreateSparseTensorAsOrtValue.
  *
  * \param[in,out] ort_value ::OrtValue to populate with data
  * \param[in] data_mem_info serves to identify the location of the data to be copied. If the allocator specified
  *  at the creation time has memory info that is not the same as mem_info argument to this function a X-device copy will be performed.
  *  String data is assumed to be on CPU and will only be copied into a CPU allocated buffer.
  * \param[in] values_shape
  * \param[in] values_shape_len
  * \param[in] values structure with values information
  * \param[in] indices_shape_data pointer to a location of indices shape
  * \param[in] indices_shape_len length of the block sparse indices shape
  * \param[in] indices_data pointer to a location of indices data. Shape will determine the length of the indices data.
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(FillSparseTensorBlockSparse, _Inout_ OrtValue* ort_value, _In_ const OrtMemoryInfo* data_mem_info,
                  _In_ const int64_t* values_shape, size_t values_shape_len, _In_ const void* values,
                  _In_ const int64_t* indices_shape_data, size_t indices_shape_len,
                  _In_ const int32_t* indices_data);

  /**
  * Create an ::OrtValue with a sparse tensor. This is the first step.
  * Next, use Use<Format>Indices() functions to supply sparse tensor with
  * format specific indices data and set its sparse format to a specific enum value.
  * This will not perform memory allocations. It will
  * use supplied user buffer which should outlive the created sparse tensor.
  * Use OrtApi::ReleaseValue to destroy the sparse tensor. It would not release the supplied values buffer.
  * This function can not be used to map strings from the user allocated memory. Strings must always be copied
  * and have UTF-8 encoding. Therefore, use OrtApi::CreateSparseTensorAsOrtValue above and then fill it with data
  * using appropriate Make*() function.
  *
  * \param[in] info memory info where sparse values reside.
  * \param[in,out] p_data pointer to a user allocated buffer with values. To create a full sparse tensor with no non-zero
  *   values, pass nullptr
  * \param[in] dense_shape shape of the original dense tensor
  * \param[in] dense_shape_len number of shape dimensions being passed
  * \param[in] values_shape shape of the values data. To create a fully sparse tensor with no non-zero values,
  *   pass {0} shape.
  * \param[in] values_shape_len number of values shape dimensions
  * \param[in] type must be one of TENSOR_ELEMENT_DATA_TYPE_xxxx
  * \param[out] out Should be freed by calling ReleaseValue
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(CreateSparseTensorWithValuesAsOrtValue, _In_ const OrtMemoryInfo* info, _Inout_ void* p_data,
                  _In_ const int64_t* dense_shape, size_t dense_shape_len,
                  _In_ const int64_t* values_shape, size_t values_shape_len,
                  ONNXTensorElementDataType type, _Outptr_ OrtValue** out);

  /**
  * This assigns Coo format indices to the SparseTensor that was created by
  * OrtApi::CreateSparseTensorWithValuesAsOrtValue above. It also sets OrtSparseFormat to
  * ORT_SPARSE_COO. This will not allocate any additional memory for data. The life span of
  * indices_data buffer should eclipse the life span of this ::OrtValue.
  *
  * \param[in,out] ort_value ::OrtValue instance constructed with OrtApi::CreateSparseTensorWithValuesAsOrtValue
  * \param[in,out] indices_data pointer to a user pre-allocated buffer or nullptr for fully sparse tensors.
  * \param[in] indices_num  number of COO indices. Should either be 0 for fully sparse tensors, be equal
  *  to the number of nnz values specified to OrtApi::CreateSparseTensorWithValuesAsOrtValue for 1-D {nnz} indices or
  *  be twice as number of nnz values for a  2-D indices {nnz, 2}
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(UseCooIndices, _Inout_ OrtValue* ort_value, _Inout_ int64_t* indices_data, size_t indices_num);

  /**
  * The assigns CSR format indices to the SparseTensor that was created by
  * OrtApi::CreateSparseTensorWithValuesAsOrtValue above. It also sets OrtSparseFormat to
  * ORT_SPARSE_CSRC. This will not allocate any additional memory for data. The life spans of
  * inner_data and outer_data buffers should eclipse the life span of this ::OrtValue.
  *
  * \param[in,out] ort_value ::OrtValue instance constructed with OrtApi::CreateSparseTensorWithValuesAsOrtValue
  * \param[in,out] inner_data pointer to a user pre-allocated buffer or nullptr for fully sparse tensors.
  * \param[in] inner_num  number of inner CSR indices. Should either be 0 for fully sparse tensors or be equal
  * to the number of nnz values specified to OrtApi::CreateSparseTensorWithValuesAsOrtValue.
  * \param[in,out] outer_data pointer to user pre-allocated buffer or nullptr for fully sparse tensors.
  * \param[in] outer_num number of CSR outer indices. Should either be 0 for fully sparse tensors or
  * equal to rows + 1 of the dense shape.
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(UseCsrIndices, _Inout_ OrtValue* ort_value, _Inout_ int64_t* inner_data, size_t inner_num,
                  _Inout_ int64_t* outer_data, size_t outer_num);

  /**
  * The assigns BlockSparse format indices to the SparseTensor that was created by
  * OrtApi::CreateSparseTensorWithValuesAsOrtValue above. It also sets OrtSparseFormat to
  * ORT_SPARSE_BLOCK_SPARSE. This will not allocate any additional memory for data. The life span of
  * indices_data buffer must eclipse the lifespan of this ::OrtValue.
  *
  * \param[in,out] ort_value OrtValue instance constructed with OrtApi::CreateSparseTensorWithValuesAsOrtValue
  * \param[in] indices_shape pointer to indices shape. Use {0} for fully sparse tensors
  * \param[in] indices_shape_len length of the indices shape
  * \param[in,out] indices_data pointer to user pre-allocated buffer or nullptr for fully sparse tensors.
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(UseBlockSparseIndices, _Inout_ OrtValue* ort_value, const int64_t* indices_shape, size_t indices_shape_len, _Inout_ int32_t* indices_data);

  /** \brief Returns sparse tensor format enum iff a given ort value contains an instance of sparse tensor.
  *
  * \param[in] ort_value ::OrtValue that contains an instance of sparse tensor
  * \param[out] out pointer to out parameter
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(GetSparseTensorFormat, _In_ const OrtValue* ort_value, _Out_ enum OrtSparseFormat* out);

  /** \brief Returns data type and shape of sparse tensor values (nnz) iff ::OrtValue contains a SparseTensor.
  *
  * \param[in] ort_value An ::OrtValue that contains a fully constructed sparse tensor
  * \param[out] out Must be freed by OrtApi::ReleaseTensorTypeAndShapeInfo
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(GetSparseTensorValuesTypeAndShape, _In_ const OrtValue* ort_value, _Outptr_ OrtTensorTypeAndShapeInfo** out);

  /** \brief Returns numeric data for sparse tensor values (nnz). For string values use GetStringTensor*().
  *
  * \param[in] ort_value an instance of ::OrtValue containing sparse tensor
  * \param[out] out returns a pointer to values data.  Do not attempt to free this ptr.
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(GetSparseTensorValues, _In_ const OrtValue* ort_value, _Outptr_ const void** out);

  /** \brief Returns data type, shape for the type of indices specified by indices_format.
  *
  * \param[in] ort_value ::OrtValue containing sparse tensor.
  * \param[in] indices_format One of the indices formats. It is an error to request a format that the sparse
  * tensor does not contain.
  * \param[out] out an instance of ::OrtTensorTypeAndShapeInfo. Must be freed by OrtApi::ReleaseTensorTypeAndShapeInfo
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(GetSparseTensorIndicesTypeShape, _In_ const OrtValue* ort_value, enum OrtSparseIndicesFormat indices_format, _Outptr_ OrtTensorTypeAndShapeInfo** out);

  /** \brief Returns indices data for the type of the indices specified by indices_format
  *
  * \param[in] ort_value ::OrtValue containing sparse tensor.
  * \param[in] indices_format One of the indices formats. It is an error to request a format that the sparse tensor does not contain.
  * \param[out] num_indices Pointer to where the number of indices entries is returned
  * \param[out] indices Returned pointer to the indices data. Do not free the returned pointer as it refers to internal data owned by the ::OrtValue
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(GetSparseTensorIndices, _In_ const OrtValue* ort_value, enum OrtSparseIndicesFormat indices_format, _Out_ size_t* num_indices, _Outptr_ const void** indices);
  /// @}
  /// \name OrtSessionOptions
  /// @{

  /**
   * \brief Sets out to 1 iff an optional type OrtValue has an element, 0 otherwise (OrtValue is None)
   * Use this API to find if the optional type OrtValue is None or not.
   * If the optional type OrtValue is not None, use the OrtValue just like any other OrtValue.
   * For example, if you get an OrtValue that corresponds to Optional(tensor) and
   * if HasValue() returns true, use it as tensor and so on.

   * \param[in] value Input OrtValue.
   * \param[out] out indicating if the input OrtValue contains data (1) or if it is a None (0)
   *
   * \snippet{doc} snippets.dox OrtStatus Return Value
   */
  ORT_API2_STATUS(HasValue, _In_ const OrtValue* value, _Out_ int* out);
  /// @}
  /// \name OrtKernelContext
  /// @{
  /** \brief Used for custom operators, gets the GPU compute stream to use to launch the custom a GPU kernel
  *   \see ::OrtCustomOp
  * \param[in]  context OrtKernelContext instance
  * \param[out] out Returns pointer to a GPU compute stream that can be used to launch the custom GPU kernel.
  *             If retrieving the GPU compute stream is not relevant (GPU not enabled in the build, kernel partitioned to
  *             some other EP), then a nullptr is returned as the output param.
  *             Do not free or mutate the returned pointer as it refers to internal data owned by the underlying session.
  *             Only use it for custom kernel launching.
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(KernelContext_GetGPUComputeStream, _In_ const OrtKernelContext* context, _Outptr_ void** out);

  /// @}
  /// \name GetTensorMemoryInfo
  /// @{
  /** \brief Returns a pointer to the ::OrtMemoryInfo of a Tensor
   * \param[in] value ::OrtValue containing tensor.
   * \param[out] mem_info ::OrtMemoryInfo of the tensor. Do NOT free the returned pointer. It is valid for the lifetime of the ::OrtValue
   *
   * \snippet{doc} snippets.dox OrtStatus Return Value
   */
  ORT_API2_STATUS(GetTensorMemoryInfo, _In_ const OrtValue* value, _Out_ const OrtMemoryInfo** mem_info);

  /// @}
  /// \name GetExecutionProviderApi
  /// @{
  /** \brief Get a pointer to the requested version of the Execution Provider specific
   * API extensions to the OrtApi
   * \param[in] provider_name The name of the execution provider name. Currently only the following
   * values are supported: "DML".
   * \param[in] version Must be ::ORT_API_VERSION.
   * \param[out] provider_api A void pointer containing a reference to the execution provider versioned api structure.
   * For example, the provider_api pointer can be cast to the OrtDmlApi* when the provider_name is "DML".
   *
   * \snippet{doc} snippets.dox OrtStatus Return Value
   */
  ORT_API2_STATUS(GetExecutionProviderApi, _In_ const char* provider_name, _In_ uint32_t version, _Outptr_ const void** provider_api);

  /// @}

  /// \name SessionOptions
  /// @{
  /** \brief Set custom thread creation function
  *
  * \param[in] options Session options
  * \param[in] ort_custom_create_thread_fn Custom thread creation function
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(SessionOptionsSetCustomCreateThreadFn, _Inout_ OrtSessionOptions* options, _In_ OrtCustomCreateThreadFn ort_custom_create_thread_fn);

  /** \brief Set creation options for custom thread
  *
  * \param[in] options Session options
  * \param[in] ort_custom_thread_creation_options Custom thread creation options (can be nullptr)
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(SessionOptionsSetCustomThreadCreationOptions, _Inout_ OrtSessionOptions* options, _In_ void* ort_custom_thread_creation_options);

  /** \brief Set custom thread join function
  *
  * \param[in] options Session options
  * \param[in] ort_custom_join_thread_fn Custom join thread function, must not be nullptr when ort_custom_create_thread_fn is set
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(SessionOptionsSetCustomJoinThreadFn, _Inout_ OrtSessionOptions* options, _In_ OrtCustomJoinThreadFn ort_custom_join_thread_fn);
  /// @}

  /// \name OrtThreadingOptions
  /// @{
  /** \brief Set custom thread creation function for global thread pools
  *
  * \param[inout] tp_options
  * \param[in] ort_custom_create_thread_fn Custom thread creation function
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(SetGlobalCustomCreateThreadFn, _Inout_ OrtThreadingOptions* tp_options, _In_ OrtCustomCreateThreadFn ort_custom_create_thread_fn);

  /** \brief Set custom thread creation options for global thread pools
  *
  * \param[inout] tp_options
  * \param[in] ort_custom_thread_creation_options Custom thread creation options (can be nullptr)
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(SetGlobalCustomThreadCreationOptions, _Inout_ OrtThreadingOptions* tp_options, _In_ void* ort_custom_thread_creation_options);

  /** \brief Set custom thread join function for global thread pools
  *
  * \param[inout] tp_options
  * \param[in] ort_custom_join_thread_fn Custom thread join function, must not be nullptr when global ort_custom_create_thread_fn is set
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(SetGlobalCustomJoinThreadFn, _Inout_ OrtThreadingOptions* tp_options, _In_ OrtCustomJoinThreadFn ort_custom_join_thread_fn);
  /// @}

  /** \brief Synchronize bound inputs. The call may be necessary for some providers, such as cuda,
  *   in case the system that allocated bound memory operated on a different stream. However, the
  *   operation is provider specific and could be a no-op.
  *
  * \param[inout] binding_ptr
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(SynchronizeBoundInputs, _Inout_ OrtIoBinding* binding_ptr);

  /** \brief Synchronize bound outputs. The call may be necessary for some providers, such as cuda,
  *   in case the system that allocated bound memory operated on a different stream. However, the
  *   operation is provider specific and could be a no-op.
  *
  * \param[inout] binding_ptr
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  */
  ORT_API2_STATUS(SynchronizeBoundOutputs, _Inout_ OrtIoBinding* binding_ptr);

  /// \name OrtSessionOptions
  /// @{

  /** \brief Append CUDA execution provider to the session options
  *
  * If CUDA is not available (due to a non CUDA enabled build), this function will return failure.
  *
  * This is slightly different from OrtApi::SessionOptionsAppendExecutionProvider_CUDA, it takes an
  * ::OrtCUDAProviderOptions which is publicly defined. This takes an opaque ::OrtCUDAProviderOptionsV2
  * which must be created with OrtApi::CreateCUDAProviderOptions.
  *
  * For OrtApi::SessionOptionsAppendExecutionProvider_CUDA, the user needs to instantiate ::OrtCUDAProviderOptions
  * as well as allocate/release buffers for some members of ::OrtCUDAProviderOptions.
  * Here, OrtApi::CreateCUDAProviderOptions and Ortapi::ReleaseCUDAProviderOptions will do the memory management for you.
  *
  * \param[in] options
  * \param[in] cuda_options
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  *
  * \since Version 1.11.
  */
  ORT_API2_STATUS(SessionOptionsAppendExecutionProvider_CUDA_V2,
                  _In_ OrtSessionOptions* options, _In_ const OrtCUDAProviderOptionsV2* cuda_options);

  /// @}
  /// \name OrtCUDAProviderOptionsV2
  /// @{

  /** \brief Create an OrtCUDAProviderOptionsV2
  *
  * \param[out] out Newly created ::OrtCUDAProviderOptionsV2. Must be released with OrtApi::ReleaseCudaProviderOptions
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  *
  * \since Version 1.11.
  */
  ORT_API2_STATUS(CreateCUDAProviderOptions, _Outptr_ OrtCUDAProviderOptionsV2** out);

  /** \brief Set options in a CUDA Execution Provider.
  *
  * Please refer to https://onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#configuration-options
  * to know the available keys and values. Key should be in null terminated string format of the member of ::OrtCUDAProviderOptionsV2
  * and value should be its related range.
  *
  * For example, key="device_id" and value="0"
  *
  * \param[in] cuda_options
  * \param[in] provider_options_keys Array of UTF-8 null-terminated string for provider options keys
  * \param[in] provider_options_values Array of UTF-8 null-terminated string for provider options values
  * \param[in] num_keys Number of elements in the `provider_option_keys` and `provider_options_values` arrays
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  *
  * \since Version 1.11.
  */
  ORT_API2_STATUS(UpdateCUDAProviderOptions, _Inout_ OrtCUDAProviderOptionsV2* cuda_options,
                  _In_reads_(num_keys) const char* const* provider_options_keys,
                  _In_reads_(num_keys) const char* const* provider_options_values,
                  _In_ size_t num_keys);

  /**
  * Get serialized CUDA provider options string.
  *
  * For example, "device_id=0;arena_extend_strategy=0;......"
  *
  * \param cuda_options - OrtCUDAProviderOptionsV2 instance
  * \param allocator - a ptr to an instance of OrtAllocator obtained with CreateAllocator() or GetAllocatorWithDefaultOptions()
  *                      the specified allocator will be used to allocate continuous buffers for output strings and lengths.
  * \param ptr - is a UTF-8 null terminated string allocated using 'allocator'. The caller is responsible for using the same allocator to free it.
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  *
  * \since Version 1.11.
  */
  ORT_API2_STATUS(GetCUDAProviderOptionsAsString, _In_ const OrtCUDAProviderOptionsV2* cuda_options, _Inout_ OrtAllocator* allocator, _Outptr_ char** ptr);

  /** \brief Release an ::OrtCUDAProviderOptionsV2
  *
  * \note This is an exception in the naming convention of other Release* functions, as the name of the method does not have the V2 suffix, but the type does
  *
  * \since Version 1.11.
  */
  void(ORT_API_CALL* ReleaseCUDAProviderOptions)(_Frees_ptr_opt_ OrtCUDAProviderOptionsV2* input);

  /// @}

  /** \brief Append MIGraphX provider to session options
  *
  * If MIGraphX is not available (due to a non MIGraphX enabled build, or if MIGraphX is not installed on the system), this function will return failure.
  *
  * \param[in] options
  * \param[in] migraphx_options
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  *
  * \since Version 1.11.
  */
  ORT_API2_STATUS(SessionOptionsAppendExecutionProvider_MIGraphX,
                  _In_ OrtSessionOptions* options, _In_ const OrtMIGraphXProviderOptions* migraphx_options);

 /** \brief Replace initialized Tensors with external data with the data provided in initializers.
  *
  * The function will find the initialized TensorProtos with external data in the graph with the provided names and
  * replace them with the provided tensors. The API verifies that the TensorProto being replaced
  * has an external data reference and has the same name, dimensions and data type as its replacement. The replacement
  * will occur before any of the optimizations take place. The data will be copied into the graph
  * since TensorProto can't refer to the user provided buffers.
  *
  * Once the model has been loaded, the OrtValue(s) added to SessionOptions instance will be removed
  * from the internal SessionOptions copy to save memory, the user provided buffers can then be deallocated
  * and the SessionOptions instance that refers to them can be destroyed.
  *
  * \param[in] options
  * \param[in] initializer_names Array of null terminated UTF-8 encoded strings of the initializers names.
  * \param[in] initializers Array of ::OrtValue type
  * \param[in] initializers_num Number of elements in the initializer_names and initializers
  *
  * \snippet{doc} snippets.dox OrtStatus Return Value
  *
  * \since Version 1.12.
  */
  ORT_API2_STATUS(AddExternalInitializers, _In_ OrtSessionOptions* options,
                  _In_reads_(input_len) const char* const* initializer_names,
                  _In_reads_(input_len) const OrtValue* const* initializers, size_t initializers_num);
};

/*
 * Steps to use a custom op:
 *   1 Create an OrtCustomOpDomain with the domain name used by the custom ops
 *   2 Create an OrtCustomOp structure for each op and add them to the domain
 *   3 Call OrtAddCustomOpDomain to add the custom domain of ops to the session options
*/
#define OrtCustomOpApi OrtApi

// Specifies some characteristics of inputs/outputs of custom ops:
// Specify if the inputs/outputs are one of:
// 1) Non-optional (input/output must be present in the node)
// 2) Optional (input/output may be absent in the node)
typedef enum OrtCustomOpInputOutputCharacteristic {
  // TODO: Support 'Variadic' inputs/outputs
  INPUT_OUTPUT_REQUIRED = 0,
  INPUT_OUTPUT_OPTIONAL,
} OrtCustomOpInputOutputCharacteristic;

/*
 * The OrtCustomOp structure defines a custom op's schema and its kernel callbacks. The callbacks are filled in by
 * the implementor of the custom op.
*/
struct OrtCustomOp {
  uint32_t version;  // Must be initialized to ORT_API_VERSION

  // This callback creates the kernel, which is a user defined parameter that is passed to the Kernel* callbacks below.
  void*(ORT_API_CALL* CreateKernel)(_In_ const struct OrtCustomOp* op, _In_ const OrtApi* api,
                                    _In_ const OrtKernelInfo* info);

  // Returns the name of the op
  const char*(ORT_API_CALL* GetName)(_In_ const struct OrtCustomOp* op);

  // Returns the type of the execution provider, return nullptr to use CPU execution provider
  const char*(ORT_API_CALL* GetExecutionProviderType)(_In_ const struct OrtCustomOp* op);

  // Returns the count and types of the input & output tensors
  ONNXTensorElementDataType(ORT_API_CALL* GetInputType)(_In_ const struct OrtCustomOp* op, _In_ size_t index);
  size_t(ORT_API_CALL* GetInputTypeCount)(_In_ const struct OrtCustomOp* op);
  ONNXTensorElementDataType(ORT_API_CALL* GetOutputType)(_In_ const struct OrtCustomOp* op, _In_ size_t index);
  size_t(ORT_API_CALL* GetOutputTypeCount)(_In_ const struct OrtCustomOp* op);

  // Op kernel callbacks
  void(ORT_API_CALL* KernelCompute)(_In_ void* op_kernel, _In_ OrtKernelContext* context);
  void(ORT_API_CALL* KernelDestroy)(_In_ void* op_kernel);

  // Returns the characteristics of the input & output tensors
  OrtCustomOpInputOutputCharacteristic(ORT_API_CALL* GetInputCharacteristic)(_In_ const struct OrtCustomOp* op, _In_ size_t index);
  OrtCustomOpInputOutputCharacteristic(ORT_API_CALL* GetOutputCharacteristic)(_In_ const struct OrtCustomOp* op, _In_ size_t index);
};

/*
 * This is the old way to add the CUDA provider to the session, please use SessionOptionsAppendExecutionProvider_CUDA above to access the latest functionality
 * This function always exists, but will only succeed if Onnxruntime was built with CUDA support and the CUDA provider shared library exists
 *
 * \param device_id CUDA device id, starts from zero.
*/
ORT_API_STATUS(OrtSessionOptionsAppendExecutionProvider_CUDA, _In_ OrtSessionOptions* options, int device_id);

/*
 * This is the old way to add the MIGraphX provider to the session, please use
 * SessionOptionsAppendExecutionProvider_MIGraphX above to access the latest functionality
 * This function always exists, but will only succeed if Onnxruntime was built with
 * HIP support and the MIGraphX provider shared library exists
 *
 * \param device_id HIP device id, starts from zero.
*/
ORT_API_STATUS(OrtSessionOptionsAppendExecutionProvider_MIGraphX, _In_ OrtSessionOptions* options, int device_id);
#ifdef __cplusplus
}
#endif

//! @}