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Overview of OpenVINO C* API

src/bindings/c/docs/api_overview.md

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Overview of OpenVINO C* API

This API provides a simplified interface for OpenVINO functionality that allows to:

  • handle the models
  • load and configure OpenVINO plugins based on device names
  • perform inference in synchronous and asynchronous modes with arbitrary number of infer requests (the number of infer requests may be limited by target device capabilities)

Supported OSes

Currently the OpenVINO C API is supported on Ubuntu* 18.04/20.04/22.04 Microsoft Windows* 10/11 and CentOS* 7.3/10.15 and above OSes. Supported Python* versions:

  • Ubuntu 22.04 long-term support (LTS), 64-bit (Kernel 5.15+)
  • Ubuntu 20.04 long-term support (LTS), 64-bit (Kernel 5.15+)
  • Ubuntu 18.04 long-term support (LTS) with limitations, 64-bit (Kernel 5.4+)
  • Windows* 10
  • Windows* 11
  • macOS* 12.6 and above, 64-bit and ARM64
  • Red Hat Enterprise Linux* 8, 64-bit
  • Debian 9 ARM64 and ARM
  • CentOS 7 64-bit

Setting Up the Environment

To configure the environment for the OpenVINO C* API, run:

  • On Ubuntu 20.04/22.04: source <INSTALL_DIR>/setupvars.sh .

  • On Windows 10/11:

    • . <path-to-setupvars-folder>/setupvars.ps1 in PowerShell
    • <INSTALL_DIR>\setupvars.bat in Command Prompt

The script automatically detects latest installed C* version and configures required environment if the version is supported.

Struct

typedef struct ov_version {

    const char* buildNumber;

    const char* description;

} ov_version_t;

typedef struct {

    const char* device_name;

    ov_version_t version;

} ov_core_version_t;

typedef struct {

    ov_core_version_t* versions;

    size_t size;

} ov_core_version_list_t;

typedef struct {

    char** devices;

    size_t size;

} ov_available_devices_t;

typedef struct ov_dimension {

    int64_t min;

    int64_t max;

} ov_dimension_t;

typedef struct {

    int64_t rank;

    int64_t* dims;

} ov_shape_t;

typedef struct ov_partial_shape {

    ov_rank_t rank;

    ov_dimension_t* dims;

} ov_partial_shape_t;

typedef struct {

    enum Status {

        NOT_RUN,

        OPTIMIZED_OUT,

        EXECUTED

    } status;

    int64_t real_time;

    int64_t cpu_time;

    const char* node_name;

    const char* exec_type;

    const char* node_type;

} ov_profiling_info_t;

typedef struct {

    ov_profiling_info_t* profiling_infos;

    size_t size;

} ov_profiling_info_list_t;

typedef struct {

    void(OPENVINO_C_API_CALLBACK* callback_func)(void* args);

    void* args;

} ov_callback_t;

typedef enum {

    DYNAMIC = 0U,  //!< Dynamic element type

    BOOLEAN,         //!< boolean element type

    BF16,            //!< bf16 element type

    F16,             //!< f16 element type

    F32,             //!< f32 element type

    F64,             //!< f64 element type

    I4,              //!< i4 element type

    I8,              //!< i8 element type

    I16,             //!< i16 element type

    I32,             //!< i32 element type

    I64,             //!< i64 element type

    U1,              //!< binary element type

    U2,              //!< u2 element type

    U3,              //!< u3 element type

    U4,              //!< u4 element type

    U6,              //!< u6 element type

    U8,              //!< u8 element type

    U16,             //!< u16 element type

    U32,             //!< u32 element type

    U64,             //!< u64 element type

    NF4,             //!< nf4 element type

    F8E4M3,          //!< f8e4m3 element type

    F8E5M3,          //!< f8e5m2 element type

    STRING,          //!< string element type

    F4E2M1,          //!< f4e2m1 element type

    F8E8M0,          //!< f8e8m0 element type

} ov_element_type_e;

typedef enum {

    OK = 0,  //!< SUCCESS

    GENERAL_ERROR = -1,       //!< GENERAL_ERROR

    NOT_IMPLEMENTED = -2,     //!< NOT_IMPLEMENTED

    NETWORK_NOT_LOADED = -3,  //!< NETWORK_NOT_LOADED

    PARAMETER_MISMATCH = -4,  //!< PARAMETER_MISMATCH

    NOT_FOUND = -5,           //!< NOT_FOUND

    OUT_OF_BOUNDS = -6,       //!< OUT_OF_BOUNDS

    UNEXPECTED = -7,          //!< UNEXPECTED

    REQUEST_BUSY = -8,        //!< REQUEST_BUSY

    RESULT_NOT_READY = -9,    //!< RESULT_NOT_READY

    NOT_ALLOCATED = -10,      //!< NOT_ALLOCATED

    INFER_NOT_STARTED = -11,  //!< INFER_NOT_STARTED

    NETWORK_NOT_READ = -12,   //!< NETWORK_NOT_READ

    INFER_CANCELLED = -13,    //!< INFER_CANCELLED

    INVALID_C_PARAM = -14,         //!< INVALID_C_PARAM

    UNKNOWN_C_ERROR = -15,         //!< UNKNOWN_C_ERROR

    NOT_IMPLEMENT_C_METHOD = -16,  //!< NOT_IMPLEMENT_C_METHOD

    UNKNOW_EXCEPTION = -17,        //!< UNKNOW_EXCEPTION

} ov_status_e;


typedef enum {

    UNDEFINE = 0U,      //!< Undefine color format

    NV12_SINGLE_PLANE,  //!< Image in NV12 format as single tensor

    NV12_TWO_PLANES,    //!< Image in NV12 format represented as separate tensors for Y and UV planes.

    I420_SINGLE_PLANE,  //!< Image in I420 (YUV) format as single tensor

    I420_THREE_PLANES,  //!< Image in I420 format represented as separate tensors for Y, U and V planes.

    RGB,                //!< Image in RGB interleaved format (3 channels)

    BGR,                //!< Image in BGR interleaved format (3 channels)

    GRAY,               //!< Image in GRAY format (1 channel)

    RGBX,               //!< Image in RGBX interleaved format (4 channels)

    BGRX                //!< Image in BGRX interleaved format (4 channels)

} ov_color_format_e;

typedef enum {

    RESIZE_LINEAR,  //!< linear algorithm

    RESIZE_CUBIC,   //!< cubic algorithm

    RESIZE_NEAREST  //!< nearest algorithm

} ov_preprocess_resize_algorithm_e;

Properties

common properties

OPENVINO_C_VAR(const char*) ov_property_key_supported_properties;

OPENVINO_C_VAR(const char*) ov_property_key_available_devices;

OPENVINO_C_VAR(const char*) ov_property_key_optimal_number_of_infer_requests;

OPENVINO_C_VAR(const char*) ov_property_key_range_for_async_infer_requests;

OPENVINO_C_VAR(const char*) ov_property_key_range_for_streams;

OPENVINO_C_VAR(const char*) ov_property_key_device_full_name;

OPENVINO_C_VAR(const char*) ov_property_key_device_capabilities;

OPENVINO_C_VAR(const char*) ov_property_key_model_name;

OPENVINO_C_VAR(const char*) ov_property_key_optimal_batch_size;

OPENVINO_C_VAR(const char*) ov_property_key_max_batch_size;

OPENVINO_C_VAR(const char*) ov_property_key_cache_dir;

OPENVINO_C_VAR(const char*) ov_property_key_num_streams;

OPENVINO_C_VAR(const char*) ov_property_key_affinity;

OPENVINO_C_VAR(const char*) ov_property_key_inference_num_threads;

OPENVINO_C_VAR(const char*) ov_property_key_hint_enable_cpu_pinning;

OPENVINO_C_VAR(const char*) ov_property_key_hint_enable_hyper_threading;

OPENVINO_C_VAR(const char*) ov_property_key_hint_performance_mode;

OPENVINO_C_VAR(const char*) ov_property_key_hint_scheduling_core_type;

OPENVINO_C_VAR(const char*) ov_property_key_hint_inference_precision;

OPENVINO_C_VAR(const char*) ov_property_key_hint_num_requests;

OPENVINO_C_VAR(const char*) ov_property_key_log_level;

OPENVINO_C_VAR(const char*) ov_property_key_hint_model_priority;

OPENVINO_C_VAR(const char*) ov_property_key_enable_profiling;

OPENVINO_C_VAR(const char*) ov_property_key_device_priorities;

OPENVINO_C_VAR(const char*) ov_property_key_hint_execution_mode;

OPENVINO_C_VAR(const char*) ov_property_key_force_tbb_terminate;

OPENVINO_C_VAR(const char*) ov_property_key_enable_mmap;

OPENVINO_C_VAR(const char*) ov_property_key_auto_batch_timeout;

AUTO plugin specified properties

OPENVINO_C_VAR(const char*) ov_property_key_intel_auto_device_bind_buffer;

OPENVINO_C_VAR(const char*) ov_property_key_intel_auto_enable_startup_fallback;

OPENVINO_C_VAR(const char*) ov_property_key_intel_auto_enable_runtime_fallback;

GPU plugin specified properties

OPENVINO_C_VAR(const char*) ov_property_key_intel_gpu_context_type;

OPENVINO_C_VAR(const char*) ov_property_key_intel_gpu_ocl_context;

OPENVINO_C_VAR(const char*) ov_property_key_intel_gpu_ocl_context_device_id;

OPENVINO_C_VAR(const char*) ov_property_key_intel_gpu_tile_id;

OPENVINO_C_VAR(const char*) ov_property_key_intel_gpu_ocl_queue;

OPENVINO_C_VAR(const char*) ov_property_key_intel_gpu_va_device;

OPENVINO_C_VAR(const char*) ov_property_key_intel_gpu_shared_mem_type;

OPENVINO_C_VAR(const char*) ov_property_key_intel_gpu_mem_handle;

OPENVINO_C_VAR(const char*) ov_property_key_intel_gpu_dev_object_handle;

OPENVINO_C_VAR(const char*) ov_property_key_intel_gpu_va_plane;

OV Core

This struct represents OpenVINO entity and allows you to manipulate with plugins using unified interfaces.

Create

  • ov_status_e ov_core_create(ov_core_t** core)

    Note: Constructs OpenVINO Core instance by default.

    • Parameters:

      • core - A pointer to the newly created ov_core_t.

    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_core_create_with_config(const char* xml_config_file, ov_core_t** core)

    Note: Constructs OpenVINO Core instance using XML configuration file with devices description.

    • Parameters:

      • xml_config_file- A full path to.xml file containing plugins configuration. If the parameter is not specified, the default configuration is handled automatically.
      • core - A pointer to the newly created ov_core_t.

    • Return value: Status code of the operation: OK(0) for success.

    • Usage examples:

      Create an ov_core_t t instance with a custom configuration location specified:

      char *xml_config_file="/localdisk/plugins/my_custom_cfg.xml";
ov_core_t* core;
ov_status_e status = ov_core_create_with_config(xml_config_file, &core);

      .xml file has the following structure:

      <ie>
	<plugins>
		<plugin name="" location="" optional="yes/no">
			<extensions>
				<extension location=""/>
			</extensions>
            <properties>
            	<property key="" value=""/>
            </properties>
         </plugin>
    </plugins>
</ie>

Methods

  • ov_status_e ov_get_openvino_version(ov_version_t* version)

    • Description: Get version of OpenVINO.

    • Parameters:

      • ov_version_t - a pointer to the version.

    • Return value: Status of the operation: OK(0) for success.

    • Usage example:

        ov_version_t version = {.description = NULL, .buildNumber = NULL};
  ov_get_openvino_version(&version);
  printf("description : %s \n", version.description);
  printf("build number: %s \n", version.buildNumber);
  ov_version_free(&version);

  • ov_status_e ov_core_read_model(const ov_core_t* core, const char* model_path, const char* bin_path, ov_model_t** model)

    • Description: Reads models from IR / ONNX / PDPD / TF / TFLite formats to create ov_model_t. You can create as many ov_model_t as you need and use them simultaneously (up to the limitation of the hardware resources).

    • Parameters:

      • core - A pointer to ov_core_t instance.
      • model_path - Path to a model.
      • bin_path - Path to a data file.
      • model - A pointer to the newly created model.

    • Return value: Status code of the operation: OK(0) for success.

    • Usage example:

        ov_core_t* core = NULL;
  ov_core_create(&core);
  ov_model_t* model = NULL;
  ov_core_read_model(core, "model.xml", "model.bin", &model);

  • ov_status_e ov_core_compile_model(const ov_core_t* core, const ov_model_t* model, const char* device_name, const size_t property_args_size, ov_compiled_model_t** compiled_model, ...);

    • Description: Creates a compiled model from a source model object.

    • Parameters:

      • core- A pointer to ov_core_t instance.
      • model Model - An object acquired from Core::read_model.
      • device_name - Name of a device to load a model to.
      • property_args_size - How many properties args will be passed, each property contains 2 args: key and value.
      • compiled_model - A pointer to the newly created compiled_model.
      • ... - property paramater, optional pack of pairs: <char* property_key, char* property_value> relevant only for this load operation operation.

    • Return value: Status code of the operation: OK(0) for success.

    • Usage example:

        ov_core_t* core = nullptr;
  ov_core_create(&core);
  ov_model_t* model = nullptr;
  ov_core_read_model(core, xml_file_name.c_str(), bin_file_name.c_str(), &model);
  const char* key = ov_property_key_hint_performance_mode;
  const char* num = "LATENCY";
  ov_compiled_model_t* compiled_model = nullptr;
  ov_core_compile_model(core, model, "CPU", 2, &compiled_model, key, num);
  ...
  ov_compiled_model_free(compiled_model);
  ov_model_free(model);
  ov_core_free(core);

  • ov_status_e ov_core_set_property(const ov_core_t* core, const char* device_name, ...)

    • Description: Sets properties for a device, acceptable keys can be found in ov_property_key_xxx.

    • Parameters:

      • core - A pointer to ov_core_t instance.
      • device_name - Name of a device.
      • ... - property paramaters, optional pack of pairs: <char* property_key, char* property_value>.

    • Return value: Status code of the operation: OK(0) for success.

    • Usage example:

        ov_core_t* core = nullptr;
  ov_core_create(&core);
  const char* key_1 = ov_property_key_inference_num_threads;
  const char* value_1 = "12";
  const char* key_2 = ov_property_key_num_streams;
  const char* value_2 = "7";
  ov_core_set_property(core, "CPU", key_1, value_1, key_2, value_2);
  ...
  ov_core_free(core);

  • ov_status_e ov_core_get_property(const ov_core_t* core, const char* device_name, const char* property_key, char** property_value)

    • Description: Gets properties related to device behaviour.

    • Parameters:

      • core - A pointer to ov_core_t instance.
      • device_name - Name of a device.
      • property_key - Property key.
      • property_value - A pointer to property value with string format.

    • Return value: Status code of the operation: 0 for success.

    • Usage example:

        ov_core_t* core = nullptr;
  ov_core_create(&core);
  const char* key = ov_property_key_hint_performance_mode;
  const char* mode = "LATENCY";
  ov_core_set_property(core, "CPU", key, mode);
  char* ret = nullptr;
  ov_core_get_property(core, "CPU", key, &ret);
  ov_free(ret);
  ...
  ov_core_free(core);

  • ov_status_e ov_core_import_model(const ov_core_t* core, const char* content, const size_t content_size, const char* device_name, ov_compiled_model_t** compiled_model);

    • Description: Imports a compiled model from the previously exported one.

    • Parameters:

      • core - A pointer ov_core_t instance.
      • content - A pointer to content of the exported model.
      • content_size - Number of bytes in the exported network.
      • device_name - Name of a device to import a compiled model for.
      • compiled_model - A pointer to the newly created compiled_model.

    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_core_get_versions_by_device_name(const ov_core_t* core, const char* device_name, ov_core_version_list_t* versions)

    • Description: Returns device plugins version information.
    • Parameters:
      • core - A pointer ov_core_t instance.
      • device_name - A device name to identify a plugin.
      • versions - A pointer to versions corresponding to device_name.
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_core_create_context(const ov_core_t* core, const char* device_name, const size_t context_args_size, ov_remote_context_t** context, ...);

    • Description: Creates a new remote shared context object on the specified accelerator device using specified plugin-specific low-level device API parameters (device handle, pointer, context, etc.).
    • Parameters:
      • core - A pointer ov_core_t instance.
      • device_name - Device name to identify a plugin.
      • context_args_size - How many property args will be for this remote context creation.
      • context - A pointer to the newly created remote context.
      • ... - variadic parmameters Actual property parameter for remote context
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_core_compile_model_with_context(const ov_core_t* core, const ov_model_t* model, const ov_remote_context_t* context, const size_t property_args_size, ov_compiled_model_t** compiled_model, ...);

    • Description: Creates a compiled model from a source model within a specified remote context.

    • Parameters:

      • core - A pointer ov_core_t instance.
      • model - Model object acquired from ov_core_read_model.
      • context - A pointer to the newly created remote context.
      • property_args_size - How many args will be for this compiled model.
      • compiled_model - A pointer to the newly created compiled_model.
      • ... - variadic parmameters Actual property parameter for remote context

    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_core_add_extension(const ov_core_t* core, const char* library_path)

    • Description: Adds an extension to the core.
    • Parameters:
      • core - A pointer ov_core_t instance.
      • library_path - Path to an extension.
    • Return value: Status code of the operation: OK(0) for success.

OV Model

This struct contains the information about the model read from IR and allows you to manipulate with some model parameters such as layers affinity and output layers.

Methods

  • ov_status_e ov_model_free(ov_model_t* model)

    • Description: Release the memory allocated by ov_model_t.
    • Parameters:
      • model - A pointer to the ov_model_t to free memory..
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_model_const_input(const ov_model_t* model, ov_output_const_port_t** input_port);

    • Description: Get a const input port of ov_model_t,which only support single input model.
    • Parameters:
      • model - A pointer to the ov_model_t.
      • input_port - A pointer to the ov_output_const_port_t.
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_model_input(const ov_model_t* model, ov_output_port_t** input_port);

  • Description: Get single input port of ov_model_t, which only support single input model.

  • Parameters:

    • model - A pointer to the ov_model_t.
    • input_port - A pointer to the ov_output_port_t.

  • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_model_input_by_name(const ov_model_t* model, const char* tensor_name, ov_output_port_t** input_port)

    • Description: Get an input port of ov_model_t by name.
    • Parameters:
      • model - A pointer to the ov_model_t.
      • tensor_name - Input tensor name (char *).
      • input_port - A pointer to the ov_output_port_t.
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_model_input_by_index(const ov_model_t* model, const size_t index, ov_output_port_t** input_port)

    • Description: Get an input port of ov_model_t by name.
    • Parameters:
      • model - A pointer to the ov_model_t.
      • index - Input tensor index.
      • input_port - A pointer to the ov_output_port_t.
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_model_const_output(const ov_model_t* model, ov_output_const_port_t** output_port);

    • Description: Get a single const output port of ov_model_t, which only support single output model.
    • Parameters:
      • model - A pointer to the ov_model_t.
      • output_port - A pointer to the ov_output_const_port_t.
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_model_output(const ov_model_t* model, ov_output_port_t** output_port);

    • Description: Get a single output port of ov_model_t, which only support single output model.
    • Parameters:
      • model - A pointer to the ov_model_t.
      • output_port - A pointer to the ov_output_port_t.
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_model_inputs_size(const ov_model_t* model, size_t* input_size);

    • Description: Get the input size of ov_model_t.
    • Parameters:
      • model - A pointer to the ov_model_t.
      • input_size - The model's input size.
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_model_outputs_size(const ov_model_t* model, size_t* output_size);

    • Description: Get the input size of ov_model_t.
    • Parameters:
      • model - A pointer to the ov_model_t.
      • output_size - The model's output size.
    • Return value: Status code of the operation: OK(0) for success.

  • bool ov_model_is_dynamic(const ov_model_t* model)

    • Description: Returns true if any of the ops defined in the model is dynamic shape.
    • Parameters:
      • model - A pointer to the ov_model_t.
    • Return value: true if model contains dynamic shapes.

  • ov_status_e ov_model_reshape(const ov_model_t* model, const char** tensor_names, const ov_partial_shape_t* partial_shapes, size_t size)

    • Description: Do reshape in model with a list of <name, partial shape>.
    • Parameters:
      • model - A pointer to the ov_model_t.
      • tensor_names - The list of input tensor names.
      • partialShape - A PartialShape list.
      • size - The item count in the list.
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_model_get_friendly_name(const ov_model_t* model, char** friendly_name)

    • Description: Gets the friendly name for a model.
    • Parameters:
      • model - A pointer to the ov_model_t.
      • friendly_name - The model's friendly name.
    • Return value: Status code of the operation: OK(0) for success.

Node

This struct contains the information about the model's port.

Methods

  • ov_status_e ov_const_port_get_shape(const ov_output_const_port_t* port, ov_shape_t* tensor_shape)

    • Description: Get the shape of port object.
    • Parameters:
      • port - A pointer to ov_output_const_port_t.
      • tensor_shape - Returned tensor shape.
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_port_get_shape(const ov_output_port_t* port, ov_shape_t* tensor_shape)

    • Description: Get the shape of port object.
    • Parameters:
      • port - A pointer to ov_output_port_t.
      • tensor_shape - Returned tensor shape.
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_port_get_any_name(const ov_output_const_port_t* port, char** tensor_name)

    • Description: Get the tensor name of port.
    • Parameters:
      • port - A pointer to ov_output_port_t.
      • tensor_name - Returned tensor name.
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_port_get_partial_shape(const ov_output_const_port_t* port, ov_partial_shape_t* partial_shape)

    • Description: Get the partial shape of port.
    • Parameters:
      • port - A pointer to ov_output_const_port_t.
      • partial_shape - Partial shape.
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_port_get_element_type(const ov_output_const_port_t* port, ov_element_type_e* tensor_type)

    • Description: Get the tensor type of port.
    • Parameters:
      • port - A pointer to ov_output_const_port_t.
      • tensor_type - Returned tensor type.
    • Return value: Status code of the operation: OK(0) for success.

  • void ov_output_port_free(ov_output_port_t* port)

    • Description: free port object.
    • Parameters:
      • port - A pointer to ov_output_port_t.
    • Return value: no return.

  • void ov_output_const_port_free(ov_output_const_port_t* port)

    • Description: free const port object.
    • Parameters:
      • port - A pointer to ov_output_const_port_t.
    • Return value: no return.

CompiledModel

This struct represents a compiled model instance loaded to plugin and ready for inference.

Methods

  • ov_status_e ov_compiled_model_inputs_size(const ov_compiled_model_t* compiled_model, size_t* size)

    • Description: Get the input size of ov_compiled_model_t.
    • Parameters:
      • compiled_model - A pointer to the ov_compiled_model_t instance.
      • input_size - The compiled_model's input size.
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_compiled_model_input(const ov_compiled_model_t* compiled_model, ov_output_const_port_t** input_port)

    • Description: - Get the single const input port of ov_compiled_model_t, which only support single input model.
    • Parameters:
      • compiled_model - A pointer to the ov_compiled_model_t instance.
      • input_port - A pointer to the ov_output_const_port_t instance.
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_compiled_model_input_by_index(const ov_compiled_model_t* compiled_model, const size_t index, ov_output_const_port_t** input_port)

    • Description: Get a const input port of ov_compiled_model_t by port index.
    • Parameters:
      • compiled_model - A pointer to the ov_compiled_model_t instance.
      • index: Input index.
      • input_port - A pointer to the ov_output_const_port_t instance.
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_compiled_model_input_by_name(const ov_compiled_model_t* compiled_model, const char* name, ov_output_const_port_t** input_port)

    • Description: - Get a const input port of ov_compiled_model_t by name.
    • Parameters:
      • compiled_model - A pointer to the ov_compiled_model_t instance.
      • name - input tensor name.
      • input_port - A pointer to the ov_output_const_port_t instance.
    • Return value: Status code of the operation: OK(0) for success.

  • ov_compiled_model_outputs_size(const ov_compiled_model_t* compiled_model, size_t* size)

    • Description: - Get the output size of ov_compiled_model_t.
    • Parameters:
      • compiled_model - A pointer to the ov_compiled_model_t instance.
      • size - The compiled_model's output size.
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_compiled_model_output(const ov_compiled_model_t* compiled_model, ov_output_const_port_t** output_port)

    • Description: - Get the single const output port of ov_compiled_model_t, which only support single output model.
    • Parameters:
      • compiled_model - A pointer to the ov_compiled_model_t instance.
      • output_port - A pointer to the ov_output_const_port_t instance.
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_compiled_model_output_by_index(const ov_compiled_model_t* compiled_model, const size_t index, ov_output_const_port_t** output_port)

    • Description: Get a const input port of ov_compiled_model_t by port index.
    • Parameters:
      • compiled_model - A pointer to the ov_compiled_model_t instance.
      • index: Output index.
      • output_port - A pointer to the ov_output_const_port_t instance.
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_compiled_model_output_by_name(const ov_compiled_model_t* compiled_model, const char* name, ov_output_const_port_t** output_port)

    • Description: - Get a const output port of ov_compiled_model_t by name.
    • Parameters:
      • compiled_model - A pointer to the ov_compiled_model_t instance.
      • name - input tensor name.
      • output_port - A pointer to the ov_output_const_port_t instance.
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_compiled_model_get_runtime_model(const ov_compiled_model_t* compiled_model, ov_model_t** model)

    • Description: - Gets runtime model information from a device.
    • Parameters:
      • compiled_model - A pointer to the ov_compiled_model_t instance.
      • model - A pointer to the ov_model_t instance.
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_compiled_model_create_infer_request(const ov_compiled_model_t* compiled_model, ov_infer_request_t** infer_request)

    • Description: - Creates an inference request object used to infer the compiled model.
    • Parameters:
      • compiled_model - A pointer to ov_compiled_model_t instance.
      • infer_request - A pointer to ov_infer_request_t instance.
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_compiled_model_set_property(const ov_compiled_model_t* compiled_model, ...)

    • Description: - Sets properties for a device, acceptable keys can be found in ov_property_key_xxx.
    • Parameters:
      • compiled_model - A pointer to ov_compiled_model_t instance.
      • ... variadic paramaters, the format is <char property_key, char property_value>.
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_compiled_model_get_property(const ov_compiled_model_t* compiled_model, const char* property_key, char** property_value)

    • Description: - Gets properties for current compiled model.
    • Parameters:
      • compiled_model - A pointer to ov_compiled_model_t instance.
      • property_key - Property key.
      • property_value - A pointer to property value.
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_compiled_model_export_model(const ov_compiled_model_t* compiled_model, const char* export_model_path)

    • Description: - Exports the current compiled model to an output stream std::ostream.
    • Parameters:
      • compiled_model - A pointer to ov_compiled_model_t instance.
      • export_model_path - Path to the file.
    • Return value: Status code of the operation: OK(0) for success.

  • void ov_compiled_model_free(ov_compiled_model_t* compiled_model)

    • Description: - Release the memory allocated by ov_compiled_model_t`.
    • Parameters:
      • compiled_model - A pointer to ov_compiled_model_t instance.
    • Return value: None

InferRequest

This struct provides an interface to infer requests of ov_compiled_model_t and serves to handle infer requests execution and to set and get output data.

Methods

  • ov_status_e ov_infer_request_set_tensor(ov_infer_request_t* infer_request, const char* tensor_name, const ov_tensor_t* tensor)

    • Description: Set an input/output tensor to infer on by the name of tensor.
    • Parameters:
      • infer_request - A pointer to ov_infer_request_t instance.
      • tensor_name - Name of the input or output tensor.
      • tensor - Reference to the tensor.
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_infer_request_set_tensor_by_port(ov_infer_request_t* infer_request, const ov_output_port_t* port, const ov_tensor_t* tensor)

    • Description: Set an input/output tensor to infer request for the port.
    • Parameters:
      • infer_request - A pointer to ov_infer_request_t instance.
      • port - Port of the input or output tensor, which can be got by calling ov_model_t/ov_compiled_model_t interface.
      • tensor - Reference to the tensor.
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_infer_request_set_input_tensor_by_index(ov_infer_request_t* infer_request, const size_t idx, const ov_tensor_t* tensor)

    • Description: Set an input tensor to infer on by the index of tensor.
    • Parameters:
      • infer_request - A pointer to ov_infer_request_t instance.
      • idx - Index of the input port.
      • tensor - Reference to the tensor.
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_infer_request_set_input_tensor(ov_infer_request_t* infer_request, const ov_tensor_t* tensor)

    • Description: Set an input tensor for the model with single input to infer on.
    • Parameters:
      • infer_request - A pointer to ov_infer_request_t instance.
      • tensor - Reference to the tensor.
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_infer_request_set_output_tensor_by_index(ov_infer_request_t* infer_request, const size_t idx, const ov_tensor_t* tensor)

    • Description: Set an output tensor to infer by the index of output tensor.
    • Parameters:
      • infer_request - A pointer to ov_infer_request_t instance.
      • idx - Index of the input port.
      • tensor - Reference to the tensor.
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_infer_request_set_output_tensor(ov_infer_request_t* infer_request, const ov_tensor_t* tensor)

    • Description: Set an output tensor to infer models with single output.
    • Parameters:
      • infer_request - A pointer to ov_infer_request_t instance.
      • tensor - Reference to the tensor.
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_infer_request_get_tensor(const ov_infer_request_t* infer_request, const char* tensor_name, ov_tensor_t** tensor)

    • Description: Get an input/output tensor by the name of tensor.
    • Parameters:
      • infer_request - A pointer to ov_infer_request_t instance.
      • tensor_name - Name of the input or output tensor.
      • tensor - Reference to the tensor.
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_infer_request_get_tensor_by_port(const ov_infer_request_t* infer_request, const ov_output_port_t* port, ov_tensor_t** tensor)

    • Description: Get an input/output tensor by port.
    • Parameters:
      • infer_request - A pointer to ov_infer_request_t instance.
      • port - Port of the tensor to get.
      • tensor - Reference to the tensor.
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_infer_request_get_input_tensor_by_index(const ov_infer_request_t* infer_request, const size_t idx, ov_tensor_t** tensor)

    • Description: Get an input tensor by the index of input tensor.
    • Parameters:
      • infer_request - A pointer to ov_infer_request_t instance.
      • idx - Index of the tensor to get.
      • tensor - Reference to the tensor.
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_infer_request_get_output_tensor_by_index(const ov_infer_request_t* infer_request, const size_t idx, ov_tensor_t** tensor)

    • Description: Get an output tensor by the index of output tensor.
    • Parameters:
      • infer_request - A pointer to ov_infer_request_t instance.
      • idx - Index of the tensor to get.
      • tensor - Reference to the tensor.
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_infer_request_infer(ov_infer_request_t* infer_request)

    • Description: Infer specified input(s) in synchronous mode.
    • Parameters:
      • infer_request - A pointer to ov_infer_request_t instance.
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_infer_request_start_async(ov_infer_request_t* infer_request)

    • Description: Start inference of specified input(s) in asynchronous mode.
    • Parameters:
      • infer_request - A pointer to ov_infer_request_t instance.
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_infer_request_cancel(ov_infer_request_t* infer_request)

    • Description: Cancel inference request.
    • Parameters:
      • infer_request - A pointer to ov_infer_request_t instance.
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_infer_request_wait_for(ov_infer_request_t* infer_request, const int64_t timeout);

    • Description: Waits for the result to become available. Blocks until the specified timeout has elapsed or the result becomes available, whichever comes first.
    • Parameters:
      • infer_request - A pointer to ov_infer_request_t instance.
      • timeout - Maximum duration, in milliseconds, to block for.
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_infer_request_set_callback(ov_infer_request_t* infer_request, const ov_callback_t* callback)

    • Description: Set callback function, which will be called when inference is done.
    • Parameters:
      • infer_request - A pointer to ov_infer_request_t instance.
      • callback A function to be called.
    • Return value: Status code of the operation: OK(0) for success.

  • void ov_infer_request_free(ov_infer_request_t* infer_request)

    • Description: Release the memory allocated by ov_infer_request_t.
    • Parameters:
      • infer_request - A pointer to ov_infer_request_t instance.
    • Return value: None.

  • void ov_infer_request_get_profiling_info(const ov_infer_request_t* infer_request, ov_profiling_info_list_t* profiling_infos)

    • Description: Query performance measures per layer to identify the most time consuming operation.
    • Parameters:
      • infer_request - A pointer to ov_infer_request_t instance.
      • profiling_infos - Vector of profiling information for operations in a model.
    • Return value: None.

Tensor

Methods

  • ov_status_e ov_tensor_create_from_host_ptr(const ov_element_type_e type, const ov_shape_t shape, void* host_ptr, ov_tensor_t** tensor)

    • Description: Constructs Tensor using element type, shape and external host ptr.
    • Parameters:
      • type - Tensor element type
      • shape - Tensor shape
      • host_ptr - Pointer to pre-allocated host memory
      • tensor - A point to ov_tensor_t
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_tensor_create_from_string_array(const char** string_array, const size_t array_size, const ov_shape_t shape, ov_tensor_t** tensor)

    • Description: Constructs Tensor using string array and size.
      • string_array - String array
      • array_size - Number of elements in string array
      • shape - Tensor shape
      • tensor - A point to ov_tensor_t
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_tensor_create(const ov_element_type_e type, const ov_shape_t shape, ov_tensor_t** tensor)

    • Description: Constructs Tensor using element type and shape. Allocate internal host storage using default allocator.
    • Parameters:
      • type - Tensor element type
      • shape - Tensor shape
      • tensor - A point to ov_tensor_t
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_tensor_get_shape(const ov_tensor_t* tensor, ov_shape_t* shape)

    • Description: Get shape for tensor.
    • Parameters:
      • tensor - A point to ov_tensor_t
      • shape - Tensor shape
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_tensor_get_element_type(const ov_tensor_t* tensor, ov_element_type_e* type)

    • Description: Get type for tensor.
    • Parameters:
      • tensor - A point to ov_tensor_t
      • type - Tensor element type.
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_tensor_get_byte_size(const ov_tensor_t* tensor, size_t* byte_size)

    • Description: Get byte size for tensor.
    • Parameters:
      • tensor - A point to ov_tensor_t
      • byte_size - The size of the current Tensor in bytes.
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_tensor_data(const ov_tensor_t* tensor, void** data)

    • Description: Provides an access to the underlaying host memory.
    • Parameters:
      • tensor - A point to ov_tensor_t
      • data - A point to host memory.
    • Return value: Status code of the operation: OK(0) for success.

  • ov_status_e ov_tensor_set_string_data(ov_tensor_t* tensor, const char** string_array, size_t array_size)

    • Description: Set string data for tensor
    • Parameters:
      • tensor - A point to ov_tensor_t
      • string_array - String array
      • array_size - Number of elements in string array
    • Return value: Status code of the operation: OK(0) for success.

  • void ov_tensor_free(ov_tensor_t* tensor)

    • Description: Free ov_tensor_t.
    • Parameters:
      • tensor - A point to ov_tensor_t
    • Return value: None.