silero-vad-0.1.0.4: lib/onnxruntime/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 ONNX Runtime
*
* ONNX Runtime is a high-performance inference and training graph execution engine for deep learning models.
*
* ONNX Runtime's C, C++ APIs offer an easy to use interface to onboard and execute onnx models.
* - \subpage c_cpp_api "Core C, C++ APIs"
* - \subpage training_c_cpp_api "Training C, C++ APIs for on-device training"
*
* \page c_cpp_api Core 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 <stdbool.h>
#include <stdint.h>
#include <stdlib.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 20
#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_(X)
#define _Out_writes_(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
#define _Frees_ptr_opt_
#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
/// ORTCHAR_T, ORT_TSTR are reserved specifically for path handling.
/// All other strings are UTF-8 encoded, use char and std::string
#ifndef ORT_TSTR
#ifdef _WIN32
#define ORT_TSTR(X) L##X
// When X is a macro, L##X is not defined. In this case, we need to use ORT_TSTR_ON_MACRO.
#define ORT_TSTR_ON_MACRO(X) L"" X
#else
#define ORT_TSTR(X) X
#define ORT_TSTR_ON_MACRO(X) X
#endif
#endif
// On Windows, ORT_FILE is a wchar_t version of the __FILE__ macro.
// Otherwise, ORT_FILE is equivalent to __FILE__.
#ifndef ORT_FILE
#define ORT_FILE_INTERNAL(x) ORT_TSTR(x)
#define ORT_FILE ORT_FILE_INTERNAL(__FILE__)
#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, ...) \
_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
// float 8 types were introduced in onnx 1.14, see https://onnx.ai/onnx/technical/float8.html
ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT8E4M3FN, // Non-IEEE floating-point format based on IEEE754 single-precision
ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT8E4M3FNUZ, // Non-IEEE floating-point format based on IEEE754 single-precision
ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT8E5M2, // Non-IEEE floating-point format based on IEEE754 single-precision
ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT8E5M2FNUZ, // Non-IEEE floating-point format based on IEEE754 single-precision
// Int4 types were introduced in ONNX 1.16. See https://onnx.ai/onnx/technical/int4.html
ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT4, // maps to a pair of packed uint4 values (size == 1 byte)
ONNX_TENSOR_ELEMENT_DATA_TYPE_INT4 // maps to a pair of packed int4 values (size == 1 byte)
} 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;
typedef enum OrtOpAttrType
{
ORT_OP_ATTR_UNDEFINED = 0,
ORT_OP_ATTR_INT,
ORT_OP_ATTR_INTS,
ORT_OP_ATTR_FLOAT,
ORT_OP_ATTR_FLOATS,
ORT_OP_ATTR_STRING,
ORT_OP_ATTR_STRINGS,
} OrtOpAttrType;
//! @}
#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(MapTypeInfo);
ORT_RUNTIME_CLASS(SequenceTypeInfo);
ORT_RUNTIME_CLASS(OptionalTypeInfo);
ORT_RUNTIME_CLASS(SessionOptions);
ORT_RUNTIME_CLASS(CustomOpDomain);
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);
ORT_RUNTIME_CLASS(CANNProviderOptions);
ORT_RUNTIME_CLASS(DnnlProviderOptions);
ORT_RUNTIME_CLASS(Op);
ORT_RUNTIME_CLASS(OpAttr);
ORT_RUNTIME_CLASS(Logger);
ORT_RUNTIME_CLASS(ShapeInferContext);
ORT_RUNTIME_CLASS(LoraAdapter);
#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
/**
* @brief Optional allocation function to use for memory allocations made during session initialization.
* Use this function if you want to separate allocations made by ORT during Run() calls from
* those made during session initialization. This allows for separate memory management strategies for these allocations.
*/
void *(ORT_API_CALL *Reserve)(struct OrtAllocator *this_, size_t size); ///< Returns a pointer to an allocated block of `size` bytes
} 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/performance/graph-optimizations.html#graph-optimization-levels
* for an in-depth understanding of the Graph Optimization Levels.
*/
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 This mimics OrtDevice type constants so they can be returned in the API
*/
typedef enum OrtMemoryInfoDeviceType
{
OrtMemoryInfoDeviceType_CPU = 0,
OrtMemoryInfoDeviceType_GPU = 1,
OrtMemoryInfoDeviceType_FPGA = 2
} OrtMemoryInfoDeviceType;
/** \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{},
tunable_op_enable{false},
tunable_op_tuning_enable{false},
tunable_op_max_tuning_duration_ms{} {}
#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;
/** \brief Enable TunableOp for using.
* Set it to 1/0 to enable/disable TunableOp. Otherwise, it is disabled by default.
* This option can be overridden by environment variable ORT_CUDA_TUNABLE_OP_ENABLE.
*/
int tunable_op_enable;
/** \brief Enable TunableOp for tuning.
* Set it to 1/0 to enable/disable TunableOp tuning. Otherwise, it is disabled by default.
* This option can be overridden by environment variable ORT_CUDA_TUNABLE_OP_TUNING_ENABLE.
*/
int tunable_op_tuning_enable;
/** \brief Max tuning duration time limit for each instance of TunableOp.
* Defaults to 0 to disable the limit.
*/
int tunable_op_max_tuning_duration_ms;
} 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{},
enable_hip_graph{false},
tunable_op_enable{false},
tunable_op_tuning_enable{false},
tunable_op_max_tuning_duration_ms{} {}
#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;
int enable_hip_graph;
/** \brief Enable TunableOp for using.
* Set it to 1/0 to enable/disable TunableOp. Otherwise, it is disabled by default.
* This option can be overridden by environment variable ORT_ROCM_TUNABLE_OP_ENABLE.
*/
int tunable_op_enable;
/** \brief Enable TunableOp for tuning.
* Set it to 1/0 to enable/disable TunableOp tuning. Otherwise, it is disabled by default.
* This option can be overridden by environment variable ORT_ROCM_TUNABLE_OP_TUNING_ENABLE.
*/
int tunable_op_tuning_enable;
/** \brief Max tuning duration time limit for each instance of TunableOp.
* Defaults to 0 to disable the limit.
*/
int tunable_op_max_tuning_duration_ms;
} 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; // MIGraphX FP16 precision. Default 0 = false, nonzero = true
int migraphx_int8_enable; // MIGraphX INT8 precision. Default 0 = false, nonzero = true
int migraphx_use_native_calibration_table; // MIGraphx INT8 cal table. Default 0 = false, noznero = true
const char *migraphx_int8_calibration_table_name; // MIGraphx INT8 calibration table name
int migraphx_save_compiled_model; // migraphx save compiled model. Default 0 = false, noznero = true
const char *migraphx_save_model_path; // migraphx model path name
int migraphx_load_compiled_model; // migraphx int8 cal table. Default 0 = false, noznero = true
const char *migraphx_load_model_path; // migraphx model path name
bool migraphx_exhaustive_tune; // migraphx tuned compile Default = false
} OrtMIGraphXProviderOptions;
/** \brief OpenVINO Provider Options
*
* \see OrtApi::SessionOptionsAppendExecutionProvider_OpenVINO
*/
typedef struct OrtOpenVINOProviderOptions
{
#ifdef __cplusplus
OrtOpenVINOProviderOptions() : device_type{},
enable_npu_fast_compile{},
device_id{},
num_of_threads{},
cache_dir{},
context{},
enable_opencl_throttling{},
enable_dynamic_shapes{} {}
#endif
/** \brief Device type string
*
* Valid settings are one of: "CPU_FP32", "CPU_FP16", "GPU_FP32", "GPU_FP16"
*/
const char *device_type;
unsigned char enable_npu_fast_compile;
const char *device_id;
size_t num_of_threads; ///< 0 = Use default number of threads
const char *cache_dir; // path is set to empty by default
void *context;
unsigned char enable_opencl_throttling; ///< 0 = disabled, nonzero = enabled
unsigned char enable_dynamic_shapes; ///< 0 = disabled, nonzero = enabled
} OrtOpenVINOProviderOptions;
struct OrtApi;
typedef struct OrtApi OrtApi;
struct OrtTrainingApi;
typedef struct OrtTrainingApi OrtTrainingApi;
/** \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.
*
* One can call GetVersionString() to get the version of the Onnxruntime library for logging
* and error reporting purposes.
*/
const OrtApi *(ORT_API_CALL *GetApi)(uint32_t version)NO_EXCEPTION;
/** \brief Returns a null terminated string of the version of the Onnxruntime library (eg: "1.8.1")
*
* \return UTF-8 encoded version string. Do not deallocate the returned buffer.
*/
const char *(ORT_API_CALL *GetVersionString)(void)NO_EXCEPTION;
};
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);
typedef OrtStatus *(ORT_API_CALL *RegisterCustomOpsFn)(OrtSessionOptions *options, const OrtApiBase *api);
/** \brief Callback function for RunAsync
*
* \param[in] user_data User specific data that passed back to the callback
* \param[out] outputs On succeed, outputs host inference results, on error, the value will be nullptr
* \param[out] num_outputs Number of outputs, on error, the value will be zero
* \param[out] status On error, status will provide details
*/
typedef void (*RunAsyncCallbackFn)(void *user_data, OrtValue **outputs, size_t num_outputs, OrtStatusPtr status);
/** \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
*
* \note Invoking this function will return the same instance of the environment as that returned by a previous call
* to another env creation function; all arguments to this function will be ignored.
* \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
*
* \note Invoking this function will return the same instance of the environment as that returned by a previous call
* to another env creation function; all arguments to this function will be ignored. If you want to provide your
* own logging function, consider setting it using the SetUserLoggingFunction API instead.
* \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`. This parameter is optional.
* \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, _In_ OrtLoggingFunction logging_function, _In_opt_ void *logger_param,
_In_ 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://onnxruntime.ai/docs/performance/model-optimizations/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);
/** \deprecated Use OrtApi::RegisterCustomOpsLibrary_V2.
*
* Registers 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.
* If type_info does not represent tensor, this value will be set to nullptr.
*
* \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
/// Custom operator APIs.
/// @{
/** \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
/// Custom operator APIs.
/// @{
/** \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
*
* The function attempts fetches the input of the kernel. If the input is optional
* and not present, the function returns success and out is set to nullptr.
*
* \param[in] context ::OrtKernelContext instance
* \param[in] index See KernelContext_GetInputCount for boundaries check.
* \param[out] out OrtValue if the input is present otherwise is set nullptr
*
* \snippet{doc} snippets.dox OrtStatus Return Value
*/
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
*
* The function attempts fetches the output of the kernel. If the output is optional
* and not present, the function returns success and out is set to nullptr.
*
* \param[in] context ::OrtKernelContext instance
* \param[in] index See KernelContext_GetOutputCount for boundaries check.
* \param[in] dim_values output dimensions
* \param[in] dim_count number of dimensions
* \param[out] out a ptr to OrtValue to output otherwise set to nullptr
*
* \snippet{doc} snippets.dox OrtStatus Return Value
*/
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. If type_info
* does not contain a map, this value will be set to nullptr.
*
* \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. If type_info
* doesn not contain a sequence, this value will be set to nullptr.
*
* \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. This API will never fail
* so you can rely on it in a noexcept code.
*
* \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/get-started/with-c.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
/// Custom operator APIs.
/// @{
/** \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/get-started/with-c.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.
* "max_power_of_two_extend_bytes": The maximum enxtend size if arena strategy is `kNextPowerOfTwo`.
* It is not an allocation limit, it is only a limit for extension when requested byte is less than the limit.
* When requested bytes is more than the limit, allocator will still return as requested.
* Use -1 to allow ORT to choose the default 1GB for max_power_of_two_extend_bytes.
* 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://onnxruntime.ai/docs/execution-providers/TensorRT-ExecutionProvider.html#cc
* 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. Recreates the options and only sets the supplied values.
*
* 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 - OrtTensorRTProviderOptionsV2 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/get-started/with-c.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
/// Custom operator APIs.
/// @{
/** \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. Recreates the options and only sets the supplied values.
*
* 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] num_initializers 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_(num_initializers) const char *const *initializer_names,
_In_reads_(num_initializers) const OrtValue *const *initializers, size_t num_initializers);
/** \brief: Create attribute of onnxruntime operator
*
* \param[in] name Name of the attribute
* \param[in] data Data content of the attribute
* \param[in] len Number of bytes stored in data
* \param[in] type Data type
* \param[out] op_attr Attribute that has been created, which must be released by OrtApi::ReleaseOpAttr
*
* \since Version 1.12.
*/
ORT_API2_STATUS(CreateOpAttr,
_In_ const char *name,
_In_ const void *data,
_In_ int len,
_In_ OrtOpAttrType type,
_Outptr_ OrtOpAttr **op_attr);
/* \brief: Release op attribute
*
* \param[in] opAttr Attribute created by OrtApi::CreateOpAttr
*
* \since Version 1.12.
*/
ORT_CLASS_RELEASE(OpAttr);
/** \brief: Create onnxruntime native operator
*
* \param[in] info Kernel info
* \param[in] op_name Operator name
* \param[in] domain Operator domain
* \param[in] version Operator opset version
* \param[in] type_constraint_names Name of the type contraints, such as "T" or "T1"
* \param[in] type_constraint_values Type of each contraints
* \param[in] type_constraint_count Number of contraints
* \param[in] attr_values Attributes used to initialize the operator
* \param[in] attr_count Number of the attributes
* \param[in] input_count Number of inputs
* \param[in] output_count Number of outputs
* \param[out] ort_op Operator that has been created
*
* \since Version 1.12.
*/
ORT_API2_STATUS(CreateOp,
_In_ const OrtKernelInfo *info,
_In_z_ const char *op_name,
_In_z_ const char *domain,
int version,
_In_reads_(type_constraint_count) const char **type_constraint_names,
_In_reads_(type_constraint_count) const ONNXTensorElementDataType *type_constraint_values,
int type_constraint_count,
_In_reads_(attr_count) const OrtOpAttr *const *attr_values,
int attr_count,
int input_count,
int output_count,
_Outptr_ OrtOp **ort_op);
/** \brief: Invoke the operator created by OrtApi::CreateOp
* The inputs must follow the order as specified in onnx specification
*
* \param[in] context Kernel context
* \param[in] ort_op Operator that has been created
* \param[in] input_values Array of inputs
* \param[in] input_count Number of inputs
* \param[in] output_values Array of outputs
* \param[in] output_count Number of outputs
*
* \since Version 1.12.
*/
ORT_API2_STATUS(InvokeOp,
_In_ const OrtKernelContext *context,
_In_ const OrtOp *ort_op,
_In_ const OrtValue *const *input_values,
_In_ int input_count,
_Inout_ OrtValue *const *output_values,
_In_ int output_count);
/* \brief: Release an onnxruntime operator
*
* \param[in] Op Operator created by OrtApi::CreateOp
*
* \since Version 1.12.
*/
ORT_CLASS_RELEASE(Op);
/** \brief: Append execution provider to the session options.
* \param[in] options
* \param[in] provider_name - provider to add.
* \param[in] provider_options_keys - keys to configure the provider options
* \param[in] provider_options_values - values to configure the provider options
* \param[in] num_keys - number of keys passed in
*
* Currently supported providers:
* QNN
* SNPE
* XNNPACK
*
* Note: If an execution provider has a dedicated SessionOptionsAppendExecutionProvider_<provider name> function
* that should be used to add it.
*
* QNN supported keys:
* "backend_path": file path to QNN backend library.
* "profiling_level": QNN profiling level, options: "off", "basic", "detailed". Default to off.
* "profiling_file_path": QNN profiling file path if ETW not enabled.
* "rpc_control_latency": QNN RPC control latency.
* "vtcm_mb": QNN VTCM size in MB. default to 0(not set).
* "htp_performance_mode": QNN performance mode, options: "burst", "balanced", "default", "high_performance",
* "high_power_saver", "low_balanced", "extreme_power_saver", "low_power_saver", "power_saver", "sustained_high_performance". Default to "default".
* "qnn_saver_path": File path to the QNN Saver backend library. If specified, QNN Saver will be enabled and will
* dump QNN API calls to disk for replay/debugging. QNN Saver produces incorrect model inference results and
* may alter model/EP partitioning. Use only for debugging.
* "qnn_context_priority": QNN context priority, options: "low", "normal", "normal_high", "high". Default to "normal".
* "htp_graph_finalization_optimization_mode": Set the optimization mode for graph finalization on the HTP backend. Available options:
* - "0": Default.
* - "1": Faster preparation time, less optimal graph.
* - "2": Longer preparation time, more optimal graph.
* - "3": Longest preparation time, most likely even more optimal graph. See QNN SDK documentation for specific details.
* "soc_model": The SoC model number. Refer to the QNN SDK documentation for valid values. Defaults to "0" (unknown).
* "htp_arch": The minimum HTP architecture the driver will use to select compatible QNN operators. Available options:
* - "0": Default (none).
* - "68"
* - "69"
* - "73"
* - "75"
* "device_id": The ID of the device to use when setting 'htp_arch'. Defaults to "0" (for single device).
* "enable_htp_fp16_precision": Used for float32 model for HTP backend.
* Enable the float32 model to be inferenced with fp16 precision. Otherwise, it will be fp32 precision.
* - "0": With fp32 precision.
* - "1": Default. With fp16 precision.
* "enable_htp_weight_sharing": Enable QNN weight sharing feature while compiling multiple graphs into one QNN context.
* - "0": Default. Disabled.
* - "1": Enabled.
* "offload_graph_io_quantization": Offload graph input quantization and graph output dequantization to another
* execution provider (typically CPU EP).
* - "0": Default. Disabled. QNN EP will handle quantization and dequantization of graph I/O.
* - "1": Enabled.
*
* SNPE supported keys:
* "runtime": SNPE runtime engine, options: "CPU", "CPU_FLOAT32", "GPU", "GPU_FLOAT32_16_HYBRID", "GPU_FLOAT16",
* "DSP", "DSP_FIXED8_TF", "AIP_FIXED_TF", "AIP_FIXED8_TF".
* Mapping to SNPE Runtime_t definition: CPU, CPU_FLOAT32 => zdl::DlSystem::Runtime_t::CPU;
* GPU, GPU_FLOAT32_16_HYBRID => zdl::DlSystem::Runtime_t::GPU;
* GPU_FLOAT16 => zdl::DlSystem::Runtime_t::GPU_FLOAT16;
* DSP, DSP_FIXED8_TF => zdl::DlSystem::Runtime_t::DSP.
* AIP_FIXED_TF, AIP_FIXED8_TF => zdl::DlSystem::Runtime_t::AIP_FIXED_TF.
* "priority": execution priority, options: "low", "normal".
* "buffer_type": ITensor or user buffers, options: "ITENSOR", user buffer with different types - "TF8", "TF16", "UINT8", "FLOAT".
* "ITENSOR" -- default, ITensor which is float only.
* "TF8" -- quantized model required, "FLOAT" -- for both quantized or non-quantized model
* "enable_init_cache": enable SNPE init caching feature, set to 1 to enabled it. Disabled by default.
* If SNPE is not available (due to a non Snpe enabled build or its dependencies not being installed), this function will fail.
*
* XNNPACK supported keys:
* "intra_op_num_threads": number of thread-pool size to use for XNNPACK execution provider.
* default value is 0, which means to use the session thread-pool size.
*
* \since Version 1.12.
*/
ORT_API2_STATUS(SessionOptionsAppendExecutionProvider, _In_ OrtSessionOptions *options,
_In_ const char *provider_name,
_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 a copy of kernel info
*
* \param[in] info Kernel info
* \param[out] info_copy Copy of kernel info
*
* \since Version 1.12.
*/
ORT_API2_STATUS(CopyKernelInfo,
_In_ const OrtKernelInfo *info,
_Outptr_ OrtKernelInfo **info_copy);
/* \brief: Release kernel info
*
* \param[in] KernelInfo A copy of kernel info returned by CopyKernelInfo
*
* \since Version 1.12.
*/
ORT_CLASS_RELEASE(KernelInfo);
/// \name Ort Training
/// @{
/** \brief Gets the Training C Api struct
*
* Call this function to access the ::OrtTrainingApi structure that holds pointers to functions that enable
* training with onnxruntime.
* \note A NULL pointer will be returned and no error message will be printed if the training api
* is not supported with this build. A NULL pointer will be returned and an error message will be
* printed if the provided version is unsupported, for example when using a runtime older than the
* version created with this header file.
*
* \param[in] version Must be ::ORT_API_VERSION
* \return The ::OrtTrainingApi struct for the version requested.
*
* \since Version 1.13
*/
const OrtTrainingApi *(ORT_API_CALL *GetTrainingApi)(uint32_t version)NO_EXCEPTION;
/// @}
/** \brief Append CANN provider to session options
*
* If CANN is not available (due to a non CANN enabled build, or if CANN is not installed on the system), this function will return failure.
*
* \param[in] options
* \param[in] cann_options
*
* \snippet{doc} snippets.dox OrtStatus Return Value
*
* \since Version 1.13.
*/
ORT_API2_STATUS(SessionOptionsAppendExecutionProvider_CANN,
_In_ OrtSessionOptions *options, _In_ const OrtCANNProviderOptions *cann_options);
/** \brief Create an OrtCANNProviderOptions
*
* \param[out] out created ::OrtCANNProviderOptions. Must be released with OrtApi::ReleaseCANNProviderOptions
*
* \snippet{doc} snippets.dox OrtStatus Return Value
*
* \since Version 1.13.
*/
ORT_API2_STATUS(CreateCANNProviderOptions, _Outptr_ OrtCANNProviderOptions **out);
/** \brief Set options in a CANN Execution Provider.
*
* \param[in] cann_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 1.13.
*/
ORT_API2_STATUS(UpdateCANNProviderOptions, _Inout_ OrtCANNProviderOptions *cann_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 CANN provider options string.
*
* \param[in] cann_options OrtCANNProviderOptions instance
* \param[in] 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[out] 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 1.13.
*/
ORT_API2_STATUS(GetCANNProviderOptionsAsString, _In_ const OrtCANNProviderOptions *cann_options,
_Inout_ OrtAllocator *allocator, _Outptr_ char **ptr);
/** \brief Release an OrtCANNProviderOptions
*
* \param[in] input The pointer of OrtCANNProviderOptions which will been deleted
*
* \since Version 1.13.
*/
void(ORT_API_CALL *ReleaseCANNProviderOptions)(_Frees_ptr_opt_ OrtCANNProviderOptions *input);
/* \brief Get OrtDevice type from MemoryInfo
*
* \since Version 1.14
*/
void(ORT_API_CALL *MemoryInfoGetDeviceType)(_In_ const OrtMemoryInfo *ptr, _Out_ OrtMemoryInfoDeviceType *out);
/* \brief Update the OrtEnv instance with custom log severity level
*
* \param[in] ort_env The OrtEnv instance being used
* \param[in] log_severity_level The log severity level.
*
* \since Version 1.14.
*/
ORT_API2_STATUS(UpdateEnvWithCustomLogLevel, _In_ OrtEnv *ort_env, OrtLoggingLevel log_severity_level);
/* \brief Set affinities for intra op threads
*
* Affinity string follows format:
* logical_processor_id,logical_processor_id;logical_processor_id,logical_processor_id
* Semicolon isolates configurations among threads, while comma split processors where ith thread expected to attach to.
* e.g. 1,2,3;4,5
* specifies affinities for two threads, with the 1st thread attach to the 1st, 2nd, and 3rd processor, and 2nd thread to the 4th and 5th.
* To ease the configuration, an "interval" is also allowed:
* e.g. 1-8;8-16;17-24
* orders that the 1st thread runs on first eight processors, 2nd thread runs on next eight processors, and so forth.
* Note:
* 1. Once set, the number of thread affinities must equal to intra_op_num_threads - 1,
* ort does not set affinity on the main thread which is started and managed by the calling app;
* 2. For windows, ort will infer the group id from a logical processor id, for example, assuming there are two groups with each has 64 logical processors,
* an id of 64 will be inferred as the last processor of the 1st group, while 65 will be interpreted as the 1st processor of the second group.
* Hence 64-65 is an invalid configuration, because a windows thread cannot be attached to processors across group boundary.
*
* \since Version 1.14
*/
ORT_API2_STATUS(SetGlobalIntraOpThreadAffinity, _Inout_ OrtThreadingOptions *tp_options, const char *affinity_string);
/** \brief Register custom ops from a shared library.
*
* Loads a shared library (.dll on windows, .so on linux, etc) named 'library_name' 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 automatically released by ORT when the last OrtSession that references the
* library handle is released. If no OrtSession is created, then the library handle is released when the provided
* OrtSessionOptions is released.
*
* \param[in] options The session options.
* \param[in] library_name The name of the shared library to load and register. Refer to OS-specific dynamic library
* loading utilities (e.g., LoadLibraryEx on Windows or dlopen on Linux/MacOS) for information
* on the format of library names and search paths.
*
* \snippet{doc} snippets.dox OrtStatus Return Value
* \since Version 1.14
*/
ORT_API2_STATUS(RegisterCustomOpsLibrary_V2, _Inout_ OrtSessionOptions *options, _In_ const ORTCHAR_T *library_name);
/** \brief Register custom ops by calling a RegisterCustomOpsFn function.
*
* Searches for registration_func_name and if found calls it.
*
* The library containing the function must either be linked against or previously loaded by the executable.
*
* If you want ONNX Runtime to load the library and manage its lifetime, use RegisterCustomOpsLibrary_V2.
*
* RegisterCustomOpsUsingFunction can be used in scenarios where it may not be possible for ONNX Runtime to load
* the library from a path. e.g. mobile platforms where the library must be linked into the app.
*
* The registration function must have the signature of RegisterCustomOpsFn:
* OrtStatus* (*fn)(OrtSessionOptions* options, const OrtApiBase* api);
*
* See https://onnxruntime.ai/docs/reference/operators/add-custom-op.html for details on how the registration
* function should be implemented.
*
* \param[in] options OrtSessionOptions that is passed through as the first argument in the call to the
* registration function.
* \param[in] registration_func_name Name of registration function to use.
*
* \snippet{doc} snippets.dox OrtStatus Return Value
* \since Version 1.14
*/
ORT_API2_STATUS(RegisterCustomOpsUsingFunction, _Inout_ OrtSessionOptions *options,
_In_ const char *registration_func_name);
/// \name OrtKernelInfo
/// Custom operator APIs.
/// @{
/** \brief Get the number of inputs from ::OrtKernelInfo.
*
* Used in the CreateKernel callback of an OrtCustomOp to query the number of inputs
* during kernel/session creation.
*
* \param[in] info Instance of ::OrtKernelInfo.
* \param[out] out Pointer to variable assigned with the result on success.
*
* \snippet{doc} snippets.dox OrtStatus Return Value
* \since Version 1.14
*/
ORT_API2_STATUS(KernelInfo_GetInputCount, _In_ const OrtKernelInfo *info, _Out_ size_t *out);
/** \brief Get the number of outputs from ::OrtKernelInfo.
*
* Used in the CreateKernel callback of an OrtCustomOp to query the number of outputs
* during kernel/session creation.
*
* \param[in] info Instance of ::OrtKernelInfo.
* \param[out] out Pointer to variable assigned with the result on success.
*
* \snippet{doc} snippets.dox OrtStatus Return Value
* \since Version 1.14
*/
ORT_API2_STATUS(KernelInfo_GetOutputCount, _In_ const OrtKernelInfo *info, _Out_ size_t *out);
/** \brief Get the name of a ::OrtKernelInfo's input.
*
* Used in the CreateKernel callback of an OrtCustomOp to query an input's name
* during kernel/session creation.
*
* If `out` is nullptr, the value of `size` is set to the size of the name
* string (including null-terminator), and a success status is returned.
*
* If the `size` parameter is greater than or equal to the name string's size,
* the value of `size` is set to the true size of the string (including null-terminator),
* the provided memory is filled with the string's contents, and a success status is returned.
*
* If the `size` parameter is less than the actual string's size and `out`
* is not nullptr, the value of `size` is set to the true size of the string
* and a failure status is returned.
*
* \param[in] info An instance of ::OrtKernelInfo.
* \param[in] index The index of the input name to get. Returns a failure status if out-of-bounds.
* \param[out] out Memory location into which to write the UTF-8 null-terminated string representing the input's name.
* \param[in,out] size Pointer to the size of the `out` buffer. See above comments for details.
*
* \snippet{doc} snippets.dox OrtStatus Return Value
* \since Version 1.14
*/
ORT_API2_STATUS(KernelInfo_GetInputName, _In_ const OrtKernelInfo *info, size_t index, _Out_ char *out,
_Inout_ size_t *size);
/** \brief Get the name of a ::OrtKernelInfo's output.
*
* Used in the CreateKernel callback of an OrtCustomOp to query an output's name
* during kernel/session creation.
*
* If `out` is nullptr, the value of `size` is set to the size of the name
* string (including null-terminator), and a success status is returned.
*
* If the `size` parameter is greater than or equal to the name string's size,
* the value of `size` is set to the true size of the string (including null-terminator),
* the provided memory is filled with the string's contents, and a success status is returned.
*
* If the `size` parameter is less than the actual string's size and `out`
* is not nullptr, the value of `size` is set to the true size of the string
* and a failure status is returned.
*
* \param[in] info An instance of ::OrtKernelInfo.
* \param[in] index The index of the output name to get. Returns a failure status if out-of-bounds.
* \param[out] out Memory location into which to write the UTF-8 null-terminated string representing the output's
* name.
* \param[in,out] size Pointer to the size of the `out` buffer. See above comments for details.
*
* \snippet{doc} snippets.dox OrtStatus Return Value
* \since Version 1.14
*/
ORT_API2_STATUS(KernelInfo_GetOutputName, _In_ const OrtKernelInfo *info, size_t index, _Out_ char *out,
_Inout_ size_t *size);
/** \brief Get the type information for a ::OrtKernelInfo's input.
*
* Used in the CreateKernel callback of an OrtCustomOp to query the shape and type information
* of an input during kernel/session creation.
*
* \param[in] info An instance of ::OrtKernelInfo.
* \param[in] index Which input to get the type information for
* \param[out] type_info Pointer set to the resulting ::OrtTypeInfo. Must be freed with OrtApi::ReleaseTypeInfo.
*
* \snippet{doc} snippets.dox OrtStatus Return Value
* \since Version 1.14
*/
ORT_API2_STATUS(KernelInfo_GetInputTypeInfo, _In_ const OrtKernelInfo *info, size_t index,
_Outptr_ OrtTypeInfo **type_info);
/** \brief Get the type information for a ::OrtKernelInfo's output.
*
* Used in the CreateKernel callback of an OrtCustomOp to query the shape and type information
* of an output during kernel/session creation.
*
* \param[in] info An instance of ::OrtKernelInfo.
* \param[in] index Which input to get the type information for
* \param[out] type_info Pointer set to the resulting ::OrtTypeInfo. Must be freed with OrtApi::ReleaseTypeInfo.
*
* \snippet{doc} snippets.dox OrtStatus Return Value
* \since Version 1.14
*/
ORT_API2_STATUS(KernelInfo_GetOutputTypeInfo, _In_ const OrtKernelInfo *info, size_t index,
_Outptr_ OrtTypeInfo **type_info);
/** \brief Get a ::OrtValue tensor stored as an attribute in the graph node.
*
* Used in the CreateKernel callback of an OrtCustomOp to get a tensor attribute.
*
* \param[in] info ::OrtKernelInfo instance.
* \param[in] name UTF-8 null-terminated string representing the attribute's name.
* \param[in] allocator Allocator used to allocate the internal tensor state.
* \param[out] out Returns newly created ::OrtValue. Must be freed with OrtApi::ReleaseValue,
* which will also free internal tensor state allocated with the provided allocator.
*
* \snippet{doc} snippets.dox OrtStatus Return Value
*/
ORT_API2_STATUS(KernelInfoGetAttribute_tensor, _In_ const OrtKernelInfo *info, _In_z_ const char *name,
_Inout_ OrtAllocator *allocator, _Outptr_ OrtValue **out);
/// @}
/// \name OrtSessionOptions
/// Custom operator APIs
/// @{
/** \brief Checks if the given session configuration entry exists.
*
* The config_key formats are defined in onnxruntime_session_options_config_keys.h
*
* Can be used in a custom operator library to check for session configuration entries
* that target one or more custom operators in the library. Example: The config entry
* custom_op.myop.some_key targets a custom op named "myop".
*
* \param[in] options The ::OrtSessionOptions instance.
* \param[in] config_key A null-terminated UTF-8 string representation of the configuration key.
* \param[out] out Pointer set to 1 if the entry exists and 0 otherwise.
*
* \snippet{doc} snippets.dox OrtStatus Return Value
* \since Version 1.14
*/
ORT_API2_STATUS(HasSessionConfigEntry, _In_ const OrtSessionOptions *options,
_In_z_ const char *config_key, _Out_ int *out);
/** \brief Get a session configuration value.
*
* Returns a failure status if the configuration key does not exist.
* The config_key and the format of config_value are defined in onnxruntime_session_options_config_keys.h
*
* If `config_value` is nullptr, the value of `size` is set to the true size of the string
* value (including null-terminator), and a success status is returned.
*
* If the `size` parameter is greater than or equal to the actual string value's size,
* the value of `size` is set to the true size of the string value, the provided memory
* is filled with the value's contents, and a success status is returned.
*
* If the `size` parameter is less than the actual string value's size and `config_value`
* is not nullptr, the value of `size` is set to the true size of the string value
* and a failure status is returned.
*
* Can be used in a custom operator library to get session configuration entries
* that target one or more custom operators in the library. Example: The config entry
* custom_op.myop.some_key targets a custom op named "myop".
*
* \param[in] options The session options.
* \param[in] config_key A null-terminated UTF-8 string representation of the config key.
* \param[in] config_value Pointer to memory where the null-terminated UTF-8 string value will be stored.
* \param[in,out] size Pointer to the size of the `config_value` buffer. See above comments for details.
*
* \snippet{doc} snippets.dox OrtStatus Return Value
* \since Version 1.14
*/
ORT_API2_STATUS(GetSessionConfigEntry, _In_ const OrtSessionOptions *options,
_In_z_ const char *config_key, _Out_ char *config_value, _Inout_ size_t *size);
/// @}
/** \brief Append dnnl provider to session options
*
* If oneDNN is not available, this function will return failure.
*
* \param[in] options
* \param[in] dnnl_options
*
* \snippet{doc} snippets.dox OrtStatus Return Value
*
* \since Version 1.15.
*/
ORT_API2_STATUS(SessionOptionsAppendExecutionProvider_Dnnl,
_In_ OrtSessionOptions *options, _In_ const OrtDnnlProviderOptions *dnnl_options);
/** \brief Create an OrtDnnlProviderOptions
*
* \param[out] out Newly created ::OrtDnnlProviderOptions. Must be released with OrtApi::ReleaseDnnlProviderOptions
*
* \snippet{doc} snippets.dox OrtStatus Return Value
*
* \since Version 1.15.
*/
ORT_API2_STATUS(CreateDnnlProviderOptions, _Outptr_ OrtDnnlProviderOptions **out);
/** \brief Set options in a oneDNN Execution Provider.
*
* Key should be in null terminated string format of the member of ::OrtDnnlProviderOptions
* and value should be its related range.
*
* For example, key="use_arena" and value="1"
*
* \param[in] dnnl_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 1.15.
*/
ORT_API2_STATUS(UpdateDnnlProviderOptions, _Inout_ OrtDnnlProviderOptions *dnnl_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 oneDNN provider options string.
*
* For example, "use_arena=1;......"
*
* \param dnnl_options - OrtDnnlProviderOptions 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 1.15.
*/
ORT_API2_STATUS(GetDnnlProviderOptionsAsString, _In_ const OrtDnnlProviderOptions *dnnl_options, _Inout_ OrtAllocator *allocator, _Outptr_ char **ptr);
/** \brief Release an ::OrtDnnlProviderOptions
*
* \since Version 1.15.
*/
void(ORT_API_CALL *ReleaseDnnlProviderOptions)(_Frees_ptr_opt_ OrtDnnlProviderOptions *input);
/// \name OrtKernelInfo
/// Custom operator APIs.
/// @{
/** \brief Get the graph node name from ::OrtKernelInfo.
*
* If `out` is nullptr, the value of `size` is set to the size of the name
* string (including null-terminator), and a success status is returned.
*
* If the `size` parameter is greater than or equal to the name string's size,
* the value of `size` is set to the true size of the string (including null-terminator),
* the provided memory is filled with the string's contents, and a success status is returned.
*
* If the `size` parameter is less than the actual string's size and `out`
* is not nullptr, the value of `size` is set to the true size of the string
* and a failure status is returned.
*
* Can be used in a custom operator's CreateKernel callback to get the name of the operator's node name in the graph.
*
* \param[in] info An instance of ::OrtKernelInfo.
* \param[out] out Memory location into which to write the UTF-8 null-terminated string representing the name.
* \param[in,out] size Pointer to the size of the `out` buffer. See above comments for details.
*
* \snippet{doc} snippets.dox OrtStatus Return Value
* \since Version 1.15
*/
ORT_API2_STATUS(KernelInfo_GetNodeName, _In_ const OrtKernelInfo *info, _Out_ char *out, _Inout_ size_t *size);
/** \brief Get the session logger from ::OrtKernelInfo.
*
* Used in the CreateKernel callback of an OrtCustomOp to get a logger that can be used to log
* messages.
*
* \param[in] info An instance of ::OrtKernelInfo.
* \param[out] logger Pointer set to the session's ::OrtLogger. Owned by ONNX Runtime, so do not free.
*
* \snippet{doc} snippets.dox OrtStatus Return Value
* \since Version 1.15
*/
ORT_API2_STATUS(KernelInfo_GetLogger, _In_ const OrtKernelInfo *info, _Outptr_ const OrtLogger **logger);
/// @}
/// \name OrtKernelContext
/// Custom operator APIs.
/// @{
/** \brief Get the runtime logger from ::OrtKernelContext.
*
* Used in the KernelCompute callback of an OrtCustomOp to get a logger that can be used to log
* messages during inference.
*
* \param[in] context An instance of ::OrtKernelContext.
* \param[out] logger Pointer set to the kernel context's ::OrtLogger. Owned by ONNX Runtime, so do not free.
*
* \snippet{doc} snippets.dox OrtStatus Return Value
* \since Version 1.15
*/
ORT_API2_STATUS(KernelContext_GetLogger, _In_ const OrtKernelContext *context, _Outptr_ const OrtLogger **logger);
/// @}
/// \name OrtLogger
/// Custom operator APIs.
/// @{
/** \brief Logs a message at the given severity level using the provided ::OrtLogger.
*
* Only messages with a severity level equal or greater than the ::OrtLogger's logging severity level
* are logged. Use OrtApi::Logger_GetLoggingSeverityLevel to get the ::OrtLogger's logging severity
* level.
*
* Can be used in custom operators to log messages with the logger retrieved via OrtApi::KernelInfo_GetLogger.
*
* \param[in] logger The ::OrtLogger instance.
* \param[in] log_severity_level The message's severity level.
* \param[in] message The message to log.
* \param[in] file_path The filepath of the file in which the message is logged. Usually the value of ORT_FILE.
* \param[in] line_number The file line number in which the message is logged. Usually the value of __LINE__.
* \param[in] func_name The name of the function in which the message is logged. Usually the value of __FUNCTION__.
*
* \snippet{doc} snippets.dox OrtStatus Return Value
* \since Version 1.15
*/
ORT_API2_STATUS(Logger_LogMessage, _In_ const OrtLogger *logger, OrtLoggingLevel log_severity_level,
_In_z_ const char *message, _In_z_ const ORTCHAR_T *file_path, int line_number,
_In_z_ const char *func_name);
/** \brief Get the logging severity level of the ::OrtLogger.
*
* Can be used in a custom operator to get the logging serverity level of the ::OrtLogger associated with
* the ::OrtKernelInfo.
*
* \param[in] logger The ::OrtLogger instance.
* \param[out] out Pointer to variable assigned with the logging severity level on success.
*
* \snippet{doc} snippets.dox OrtStatus Return Value
* \since Version 1.15
*/
ORT_API2_STATUS(Logger_GetLoggingSeverityLevel, _In_ const OrtLogger *logger, _Out_ OrtLoggingLevel *out);
/// @}
/** \brief Get a ::OrtValue tensor stored as a constant initializer in the graph node.
*
* Used in the CreateKernel callback of an OrtCustomOp to get a tensor value.
*
* \param[in] info ::OrtKernelInfo instance.
* \param[in] index The node index.
* \param[out] is_constant Is it a constant node input or not.
* \param[out] out The OrtValue tensor value.
*
* \snippet{doc} snippets.dox OrtStatus Return Value
*
* \since Version 1.15.
*/
ORT_API2_STATUS(KernelInfoGetConstantInput_tensor, _In_ const OrtKernelInfo *info, size_t index, _Out_ int *is_constant, _Outptr_ const OrtValue **out);
/** \brief Get Optional Type information from an ::OrtTypeInfo
*
* This augments ::OrtTypeInfo to return an ::OrtOptionalTypeInfo when the type is optional.
* The OrtOptionalTypeInfo also has a nested ::OrtTypeInfo that describes the type of the optional value.
* ::OrtOptionalTypeInfo type can only appear within model metadata to describe inputs/outputs.
* The actual OrtValues that are supplied in place of optional type inputs should contain
* specific type that is described by ::OrtOptionalTypeInfo.
*
* So the picture: ::OrtTypeInfo -> ::OrtOptionalTypeInfo -> ::OrtTypeInfo (describes the type that can be supplied
* in place of the optional type when creating the actual ::OrtValue).
*
* \param[in] type_info
* \param[out] out A pointer to the ::OrtOptionalTypeInfo. Do not free this value,
* it is owned by OrtTypeInfo instance. When the type_info does not represent
* optional type, nullptr is returned in out.
*
* \snippet{doc} snippets.dox OrtStatus Return Value
*
* \since Version 1.15.
*/
ORT_API2_STATUS(CastTypeInfoToOptionalTypeInfo, _In_ const OrtTypeInfo *type_info,
_Outptr_result_maybenull_ const OrtOptionalTypeInfo **out);
/** \brief Get OrtTypeInfo for the allowed contained type from an ::OrtOptionalTypeInfo.
*
* This augments ::OrtOptionalTypeInfo to return an ::OrtTypeInfo for the contained type.
* The OrtOptionalTypeInfo has a nested ::OrtTypeInfo that describes the type of the optional value.
* ::OrtOptionalTypeInfo type can only appear within model metadata to describe inputs/outputs.
* The actual OrtValues that are supplied in place of optional type inputs should contain
* specific type that is described by the returned ::OrtTypeInfo.
*
* \param[in] optional_type_info
* \param[out] out A pointer to the ::OrtTypeInfo for what the optional value could be.
* it is owned by OrtOptionalTypeInfo instance.
*
* \snippet{doc} snippets.dox OrtStatus Return Value
*
* \since Version 1.15.
*/
ORT_API2_STATUS(GetOptionalContainedTypeInfo, _In_ const OrtOptionalTypeInfo *optional_type_info,
_Outptr_ OrtTypeInfo **out);
/** \brief Set a single string in a string tensor
* Do not zero terminate the string data.
*
* \param[in] value A string tensor
* \param[in] index - flat index of the element
* \param[in] length_in_bytes length of the buffer in utf-8 bytes (without the null terminator)
* \param[inout] buffer - address of return value
*
* \snippet{doc} snippets.dox OrtStatus Return Value
*/
ORT_API2_STATUS(GetResizedStringTensorElementBuffer, _Inout_ OrtValue *value, _In_ size_t index, _In_ size_t length_in_bytes, _Inout_ char **buffer);
/** \brief Get Allocator from KernelContext for a specific memoryInfo. Please use C API ReleaseAllocator to release out object
*
* \param[in] context OrtKernelContext instance
* \param[in] mem_info OrtMemoryInfo instance
* \param[out] out A pointer to OrtAllocator.
*
* \snippet{doc} snippets.dox OrtStatus Return Value
*
* \since Version 1.15.
*/
ORT_API2_STATUS(KernelContext_GetAllocator, _In_ const OrtKernelContext *context, _In_ const OrtMemoryInfo *mem_info, _Outptr_ OrtAllocator **out);
/** \brief Returns a null terminated string of the build info including git info and cxx flags
*
* \return UTF-8 encoded version string. Do not deallocate the returned buffer.
*
* \since Version 1.15.
*/
const char *(ORT_API_CALL *GetBuildInfoString)(void);
/// \name OrtROCMProviderOptions
/// @{
/** \brief Create an OrtROCMProviderOptions
*
* \param[out] out Newly created ::OrtROCMProviderOptions. Must be released with OrtApi::ReleaseROCMProviderOptions
*
* \snippet{doc} snippets.dox OrtStatus Return Value
*
* \since Version 1.16.
*/
ORT_API2_STATUS(CreateROCMProviderOptions, _Outptr_ OrtROCMProviderOptions **out);
/** \brief Set options in a ROCm Execution Provider.
*
* Please refer to https://onnxruntime.ai/docs/execution-providers/ROCm-ExecutionProvider.html
* to know the available keys and values. Key should be in null terminated string format of the member of
* ::OrtROCMProviderOptions and value should be its related range.
*
* For example, key="device_id" and value="0"
*
* \param[in] rocm_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 1.16.
*/
ORT_API2_STATUS(UpdateROCMProviderOptions, _Inout_ OrtROCMProviderOptions *rocm_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 ROCm provider options string.
*
* For example, "device_id=0;arena_extend_strategy=0;......"
*
* \param rocm_options - OrtROCMProviderOptions 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 1.16.
*/
ORT_API2_STATUS(GetROCMProviderOptionsAsString, _In_ const OrtROCMProviderOptions *rocm_options, _Inout_ OrtAllocator *allocator, _Outptr_ char **ptr);
/** \brief Release an ::OrtROCMProviderOptions
*
* \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 1.16.
*/
void(ORT_API_CALL *ReleaseROCMProviderOptions)(_Frees_ptr_opt_ OrtROCMProviderOptions *input);
/** \brief Create an allocator with specific type and register it with the ::OrtEnv
* This API enhance CreateAndRegisterAllocator that it can create an allocator with specific type, not just CPU allocator
* 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.
* \param[in] env OrtEnv instance
* \param[in] provider_type ExecutionProvider type
* \param[in] mem_info OrtMemoryInfo instance
* \param[in] arena_cfg Arena configuration
* \param[in] provider_options_keys key of the provider options map
* \param[in] provider_options_values value of the provider options map
* \param[in] num_keys Length of the provider options map
*/
ORT_API2_STATUS(CreateAndRegisterAllocatorV2, _Inout_ OrtEnv *env, _In_ const char *provider_type, _In_ const OrtMemoryInfo *mem_info, _In_ const OrtArenaCfg *arena_cfg,
_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 Run the model asynchronously in a thread owned by intra op thread pool
*
* \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] input 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] output OrtValue* array of size output_names_len.
* On calling RunAsync, output[i] could either be a null or a pointer to a preallocated OrtValue.
* Later, the output array will be passed to run_async_callback with all null(s) filled with valid
* OrtValue pointer(s) allocated by onnxruntime.
* NOTE: it is customer's duty to finally release the output array and each of its member,
* regardless of whether the member (OrtValue*) is allocated by onnxruntime or preallocated by the customer.
* \param[in] run_async_callback Callback function on model run completion
* \param[in] user_data User data that pass back to run_async_callback
*/
ORT_API2_STATUS(RunAsync, _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 *input, 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 **output,
_In_ RunAsyncCallbackFn run_async_callback, _In_opt_ void *user_data);
/**
* Update TensorRT EP provider option where its data type is pointer, for example 'user_compute_stream'.
* If the data type of the provider option can be represented by string please use UpdateTensorRTProviderOptions.
*
* Note: It's caller's responsibility to properly manage the lifetime of the instance pointed by this pointer.
*
* \param tensorrt_options - OrtTensorRTProviderOptionsV2 instance
* \param key - Name of the provider option
* \param value - A pointer to the instance that will be assigned to this provider option
*
* \since Version 1.16.
*/
ORT_API2_STATUS(UpdateTensorRTProviderOptionsWithValue, _Inout_ OrtTensorRTProviderOptionsV2 *tensorrt_options, _In_ const char *key, _In_ void *value);
/**
* Get TensorRT EP provider option where its data type is pointer.
* If the data type of the provider option can be represented by string please use GetTensorRTProviderOptionsAsString.
*
* \param tensorrt_options - OrtTensorRTProviderOptionsV2 instance
* \param key - Name of the provider option
* \param ptr - A pointer to the instance that is kept by the provider option
*
* \since Version 1.16.
*/
ORT_API2_STATUS(GetTensorRTProviderOptionsByName, _In_ const OrtTensorRTProviderOptionsV2 *tensorrt_options, _In_ const char *key, _Outptr_ void **ptr);
/**
* Update CUDA EP provider option where its data type is pointer, for example 'user_compute_stream'.
* If the data type of the provider option can be represented by string please use UpdateCUDAProviderOptions.
*
* Note: It's caller's responsibility to properly manage the lifetime of the instance pointed by this pointer.
*
* \param cuda_options - OrtCUDAProviderOptionsV2 instance
* \param key - Name of the provider option
* \param value - A pointer to the instance that will be assigned to this provider option
*
* \since Version 1.16.
*/
ORT_API2_STATUS(UpdateCUDAProviderOptionsWithValue, _Inout_ OrtCUDAProviderOptionsV2 *cuda_options, _In_ const char *key, _In_ void *value);
/**
* Get CUDA EP provider option where its data type is pointer.
* If the data type of the provider option can be represented by string please use GetCUDAProviderOptionsAsString.
*
* \param cuda_options - OrtCUDAProviderOptionsV2 instance
* \param key - Name of the provider option
* \param ptr - A pointer to the instance that is kept by the provider option
*
* \since Version 1.16.
*/
ORT_API2_STATUS(GetCUDAProviderOptionsByName, _In_ const OrtCUDAProviderOptionsV2 *cuda_options, _In_ const char *key, _Outptr_ void **ptr);
/**
* Get a EP resource.
* E.g. a cuda stream or a cublas handle
*
* \param context - Kernel context
* \param resource_version - Version of the resource
* \param resource_id - Type of resource
* \param resource - A pointer to returned resource
*
* \since Version 1.16.
*/
ORT_API2_STATUS(KernelContext_GetResource, _In_ const OrtKernelContext *context, _In_ int resource_version,
_In_ int resource_id, _Outptr_ void **resource);
/** \brief Set user logging function
*
* By default the logger created by the CreateEnv* functions is used to create the session logger as well.
* This function allows a user to override this default session logger with a logger of their own choosing. This way
* the user doesn't have to create a separate environment with a custom logger. This addresses the problem when
* the user already created an env but now wants to use a different logger for a specific session (for debugging or
* other reasons).
*
* \param[in] options
* \param[in] user_logging_function A pointer to a logging function.
* \param[in] user_logging_param A pointer to arbitrary data passed as the ::OrtLoggingFunction `param` parameter to
* `user_logging_function`. This parameter is optional.
*
* \snippet{doc} snippets.dox OrtStatus Return Value
*
* \since Version 1.17.
*/
ORT_API2_STATUS(SetUserLoggingFunction, _Inout_ OrtSessionOptions *options,
_In_ OrtLoggingFunction user_logging_function, _In_opt_ void *user_logging_param);
/**
* Get number of input from OrtShapeInferContext
*
* \param[in] context
* \param[out] out The number of inputs
*
* \since Version 1.17.
*/
ORT_API2_STATUS(ShapeInferContext_GetInputCount, _In_ const OrtShapeInferContext *context, _Out_ size_t *out);
/**
* Get type and shape info of an input
*
* \param[in] context
* \param[in] index The index of the input
* \param[out] info Type shape info of the input
*
* \since Version 1.17.
*/
ORT_API2_STATUS(ShapeInferContext_GetInputTypeShape, _In_ const OrtShapeInferContext *context, _In_ size_t index, _Outptr_ OrtTensorTypeAndShapeInfo **info);
/**
* Get attribute from OrtShapeInferContext. Note that OrtShapeInferContext is a per-node context, one could only read attribute from current node.
*
* \param[in] context
* \param[in] attr_name Name of the attribute
* \param[out] attr Handle of the attribute fetched
*
* \since Version 1.17.
*/
ORT_API2_STATUS(ShapeInferContext_GetAttribute, _In_ const OrtShapeInferContext *context, _In_ const char *attr_name, _Outptr_ const OrtOpAttr **attr);
/**
* Set type and shape info of an output
*
* \param[in] context
* \param[in] index The index of the output
* \param[out] info Type shape info of the output
*
* \since Version 1.17.
*/
ORT_API2_STATUS(ShapeInferContext_SetOutputTypeShape, _In_ const OrtShapeInferContext *context, _In_ size_t index, _In_ const OrtTensorTypeAndShapeInfo *info);
/**
* Set symbolic shape to type shape info
*
* \param[in] info Type shape info
* \param[in] dim_params Symbolic strings
* \param[in] dim_params_length Number of strings
*
* \since Version 1.17.
*/
ORT_API2_STATUS(SetSymbolicDimensions, _In_ OrtTensorTypeAndShapeInfo *info, _In_ const char *dim_params[], _In_ size_t dim_params_length);
/**
* Read contents of an attribute to data
*
* \param[in] op_attr
* \param[in] type Attribute type
* \param[out] data Memory address to save raw content of the attribute
* \param[in] len Number of bytes allowed to store in data
* \param[out] out Number of bytes required to save the data when the call failed, or the real number of bytes saved to data on success
*
* \since Version 1.17.
*/
ORT_API2_STATUS(ReadOpAttr, _In_ const OrtOpAttr *op_attr, _In_ OrtOpAttrType type, _Inout_ void *data, _In_ size_t len, _Out_ size_t *out);
/** \brief Set whether to use deterministic compute.
*
* Default is false. If set to true, this will enable deterministic compute for GPU kernels where possible.
* Note that this most likely will have a performance cost.
*
* \param[in] options
* \param[in] value
*
* \since Version 1.17.
*/
ORT_API2_STATUS(SetDeterministicCompute, _Inout_ OrtSessionOptions *options, bool value);
/**
* Run fn in parallel
*
* \param[in] context
* \param[in] fn Function accepting usr_data and an integer as iterator
* \param[in] total The number of times fn is to be invoked
* \param[in] num_batch Number of batches by which the "total" is to be divided in maximum. When zero, there is no limit
* \param[in] usr_data User data to be passed back to fn
*
* \since Version 1.17.
*/
ORT_API2_STATUS(KernelContext_ParallelFor, _In_ const OrtKernelContext *context, _In_ void (*fn)(void *, size_t), _In_ size_t total, _In_ size_t num_batch, _In_ void *usr_data);
/** \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_keys
* \param[in] provider_options_values
* \param[in] num_keys
*
* \snippet{doc} snippets.dox OrtStatus Return Value
*/
ORT_API2_STATUS(SessionOptionsAppendExecutionProvider_OpenVINO_V2,
_In_ OrtSessionOptions *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 Append VitisAI provider to session options
*
* If VitisAI is not available (due to a non VitisAI enabled build, or if VitisAI is not installed on the system), this function will return failure.
*
* \param[in] options
* \param[in] provider_options_keys
* \param[in] provider_options_values
* \param[in] num_keys
*
* \snippet{doc} snippets.dox OrtStatus Return Value
*/
ORT_API2_STATUS(SessionOptionsAppendExecutionProvider_VitisAI,
_In_ OrtSessionOptions *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 scratch buffer from the corresponding allocator under the sepcific OrtMemoryInfo object.
* NOTE: callers are responsible to release this scratch buffer from the corresponding allocator
* \param[in] context OrtKernelContext instance
* \param[in] mem_info OrtMemoryInfo instance
* \param[in] count_or_bytes How many bytes is this scratch buffer
* \param[out] out A pointer to the scrach buffer
* \snippet{doc} snippets.dox OrtStatus Return Value
*/
ORT_API2_STATUS(KernelContext_GetScratchBuffer, _In_ const OrtKernelContext *context, _In_ const OrtMemoryInfo *mem_info, _In_ size_t count_or_bytes, _Outptr_ void **out);
/** \brief Get allocator from KernelInfo for a specific memory type. Please use C API ReleaseAllocator to release out object
*
* \param[in] info OrtKernelInfo instance
* \param[in] mem_type OrtMemType object
* \param[out] out A pointer to OrtAllocator
*
* \snippet{doc} snippets.dox OrtStatus Return Value
*/
ORT_API2_STATUS(KernelInfoGetAllocator, _In_ const OrtKernelInfo *info, _In_ OrtMemType mem_type, _Outptr_ OrtAllocator **out);
/** \brief Replace initialized Tensors with external data with the provided files in memory
*
* The function will find the initialized TensorProtos with external data in the graph with the provided
* external file names and the file content in memory. The API gets the external file name, offset, data length
* from TensorProto, and locate the tensor data from the file in memory buffer.
* It creates a Tensor to replace the existing Tensor in graph. 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.
*
* \param[in] options
* \param[in] external_initializer_file_names Array of null terminated UTF-8 encoded strings of the file names
* which holds the external initializers.
* \param[in] external_initializer_file_buffer_array Array of pointers to the buffer of the file content.
* The buffer can be freed after session creation.
* \param[in] external_initializer_file_lengths Array of size_t to indicate the length of file content
* \param[in] num_external_initializer_files Number of external files
*
* \snippet{doc} snippets.dox OrtStatus Return Value
*/
ORT_API2_STATUS(AddExternalInitializersFromFilesInMemory, _In_ OrtSessionOptions *options,
_In_reads_(num_external_initializer_files) const ORTCHAR_T *const *external_initializer_file_names,
_In_reads_(num_external_initializer_files) char *const *external_initializer_file_buffer_array,
_In_reads_(num_external_initializer_files) const size_t *external_initializer_file_lengths,
size_t num_external_initializer_files);
/** \brief Create an OrtLoraAdapter
*
* The function attempts to locate file specified by adapter_file_path, read it and create an OrtLoraAdapter
* instance. The adapter_file_path should be a valid path to a file that contains a valid Lora Adapter
* format. The function attempts to validate the format at load time. The file will always be memory mapped, unless
* the platform does not support memory mapping, in which case the file will be read into memory.
*
* \param[in] adapter_file_path adapter file path.
* \param[in] allocator optional pointer to a device allocator. If specified
* data is copied to the device at some point before Run() is invoked. If nullptr, data stays on CPU.
* The data would still be copied to device if required by the model at inference time.
* \param[out] out A pointer to a newly created OrtLoraAdapter instance. Must be released with
* OrtApi::ReleaseLoraAdapter.
*
* \snippet{doc} snippets.dox OrtStatus Return Value
*/
ORT_API2_STATUS(CreateLoraAdapter, const ORTCHAR_T *adapter_file_path, _In_ OrtAllocator *allocator,
_Outptr_ OrtLoraAdapter **out);
/** \brief Create an OrtLoraAdapter
*
* The function copies the bytes from the array and creates an OrtLoraAdapter instance.
*
*
* \param[in] bytes pointer to a valid Lora Adapter format buffer.
* \param[in] num_bytes length of bytes buffer.
* \param[in] allocator optional pointer to a device allocator. If specified
* data is copied to the device at some point before Run() is invoked. If nullptr, data stays on CPU.
* The data would still be copied to device if required by the model at inference time.
* \param[out] out A pointer to a newly created OrtLoraAdapter instance. Must be released with
* OrtApi::ReleaseLoraAdapter.
*
* \snippet{doc} snippets.dox OrtStatus Return Value
*/
ORT_API2_STATUS(CreateLoraAdapterFromArray, _In_ const void *bytes, size_t num_bytes, _In_ OrtAllocator *allocator,
_Outptr_ OrtLoraAdapter **out);
/** \brief Release an ::OrtLoraAdapter obtained from OrtApi::CreateLoraAdapter
*/
ORT_CLASS_RELEASE(LoraAdapter);
/** \brief Add the Lora Adapter to the list of active adapters.
*
* The function adds the Lora Adapter to the list of active adapters. The Lora Adapter must be created with
* OrtApi::CreateLoraAdapter or FromArray. The Lora Adapter will be used by the session to run the model.
* The instance of the OrtRunOptions can then be used to customize the Run() calls.
* More than one OrtLoraAdapter can be active at the same time. Lora Parameters that belong to different
* Lora adapters that will be active at the same time must not overlap.
* This setting does not affect RunWithBinding.
*
* \param[in] options OrtRunOptions instance
* \param[in] adapter OrtLoraAdapter instance
*
* \snippet{doc} snippets.dox OrtStatus Return Value
*/
ORT_API2_STATUS(RunOptionsAddActiveLoraAdapter, _Inout_ OrtRunOptions *options, _In_ const OrtLoraAdapter *adapter);
/// @}
/// \name OrtEpDynamicOptions
/// @{
/** \brief Set DynamicOptions for EPs (Execution Providers)
*
* Valid options can be found in `include\onnxruntime\core\session\onnxruntime_session_options_config_keys.h`
* Look for `kOrtEpDynamicOptions`
*
* \param[in] sess OrtSession
* \param[in] keys Array of null terminated UTF8 encoded strings of EP dynamic option keys
* \param[in] values Array of null terminated UTF8 encoded string of EP dynamic option values
* \param[in] kv_len Number of elements in the keys and values arrays
*
* \snippet{doc} snippets.dox OrtStatus Return Value
*/
ORT_API2_STATUS(SetEpDynamicOptions, _Inout_ OrtSession *sess, _In_reads_(kv_len) const char *const *keys,
_In_reads_(kv_len) const char *const *values, _In_ size_t kv_len);
};
/*
* 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
*/
// 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)
// 3) Variadic: A variadic input or output specifies N (i.e., the minimum arity) or more operands.
// Only the last input or output of a custom op may be marked as variadic.
// The homogeneity of the variadic input or output determines whether all operands must be of the same
// tensor element type.
typedef enum OrtCustomOpInputOutputCharacteristic
{
INPUT_OUTPUT_REQUIRED = 0,
INPUT_OUTPUT_OPTIONAL,
INPUT_OUTPUT_VARIADIC,
} 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. It is
// recommended to use CreateKernelV2 which allows for a safe error
// propagation by returning an OrtStatusPtr.
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);
// Perform a computation step. It is recommended to use
// KernelComputeV2 which allows for a safe error propagation by
// returning an OrtStatusPtr.
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);
// Returns the memory type of the input tensors. This API allows the custom op
// to place the inputs on specific devices. By default, it returns
// OrtMemTypeDefault, which means the input is placed on the default device for
// the execution provider. If the inputs need to be with different memory tyeps,
// this function can be overridden to return the specific memory types.
OrtMemType(ORT_API_CALL *GetInputMemoryType)(_In_ const struct OrtCustomOp *op, _In_ size_t index);
// Returns the minimum number of input arguments expected for the variadic input.
// Applicable only for custom ops that have a variadic input.
int(ORT_API_CALL *GetVariadicInputMinArity)(_In_ const struct OrtCustomOp *op);
// Returns true (non-zero) if all arguments of a variadic input have to be of the same type (homogeneous),
// and false (zero) otherwise.
// Applicable only for custom ops that have a variadic input.
int(ORT_API_CALL *GetVariadicInputHomogeneity)(_In_ const struct OrtCustomOp *op);
// Returns the minimum number of output values expected for the variadic output.
// Applicable only for custom ops that have a variadic output.
int(ORT_API_CALL *GetVariadicOutputMinArity)(_In_ const struct OrtCustomOp *op);
// Returns true (non-zero) if all outputs values of a variadic output have to be of the same type (homogeneous),
// and false (zero) otherwise.
// Applicable only for custom ops that have a variadic output.
int(ORT_API_CALL *GetVariadicOutputHomogeneity)(_In_ const struct OrtCustomOp *op);
// Create the kernel state which is passed to each compute call.
OrtStatusPtr(ORT_API_CALL *CreateKernelV2)(_In_ const struct OrtCustomOp *op, _In_ const OrtApi *api,
_In_ const OrtKernelInfo *info,
_Out_ void **kernel);
// Perform the computation step.
OrtStatusPtr(ORT_API_CALL *KernelComputeV2)(_In_ void *op_kernel, _In_ OrtKernelContext *context);
OrtStatusPtr(ORT_API_CALL *InferOutputShapeFn)(_In_ const struct OrtCustomOp *op, _In_ OrtShapeInferContext *);
// Get start range
int(ORT_API_CALL *GetStartVersion)(_In_ const struct OrtCustomOp *op);
int(ORT_API_CALL *GetEndVersion)(_In_ const struct OrtCustomOp *op);
// Get the inplace_map that defines which output can reuse which input
// Callers will provide 2 raw int* and pass in their address, this function will fill these 2 arrays
// when return, output (*output_index)[i] may reuse the input (*input_index[i]).
// The return value is the size of these 2 arrays.
// Callers are responsible to delete these 2 arrays after use by calling OrtCustomOp::ReleaseMayInplace().
size_t(ORT_API_CALL *GetMayInplace)(_Out_ int **input_index, _Out_ int **output_index);
// Release the pointer input_index and output_index allocated from GetMayInplace() function.
// If GetMayInplace() is defined, this function MUST be defined as well.
void(ORT_API_CALL *ReleaseMayInplace)(_Frees_ptr_opt_ int *input_index, _Frees_ptr_opt_ int *output_index);
// Same as GetMayInplace() and ReleaseMayInplace()
size_t(ORT_API_CALL *GetAliasMap)(_Out_ int **input_index, _Out_ int **output_index);
void(ORT_API_CALL *ReleaseAliasMap)(_Frees_ptr_opt_ int *input_index, _Frees_ptr_opt_ int *output_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 ROCm provider to the session, please use
* SessionOptionsAppendExecutionProvider_ROCM above to access the latest functionality
* This function always exists, but will only succeed if Onnxruntime was built with
* HIP support and the ROCm provider shared library exists
*
* \param device_id HIP device id, starts from zero.
*/
ORT_API_STATUS(OrtSessionOptionsAppendExecutionProvider_ROCM, _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);
/*
* This is the old way to add the oneDNN provider to the session, please use
* SessionOptionsAppendExecutionProvider_oneDNN above to access the latest functionality
* This function always exists, but will only succeed if Onnxruntime was built with
* oneDNN support and the oneDNN provider shared library exists
*
* \param use_arena zero: false. non-zero: true.
*/
ORT_API_STATUS(OrtSessionOptionsAppendExecutionProvider_Dnnl, _In_ OrtSessionOptions *options, int use_arena);
/*
* This is the old way to add the TensorRT provider to the session, please use SessionOptionsAppendExecutionProvider_TensorRT_V2 above to access the latest functionality
* This function always exists, but will only succeed if Onnxruntime was built with TensorRT support and the TensorRT provider shared library exists
*
* \param device_id CUDA device id, starts from zero.
*/
ORT_API_STATUS(OrtSessionOptionsAppendExecutionProvider_Tensorrt, _In_ OrtSessionOptions *options, int device_id);
#ifdef __cplusplus
}
#endif
/// @}