nndeploy.inference.inference_param

Functions

create_inference_param(type)
register_inference_param_creator(type, creator)

Classes

InferenceParam(inference_type)
InferenceParamCreator()

class nndeploy.inference.inference_param.InferenceParam(inference_type)

基类：InferenceParam

__init__(self: nndeploy._nndeploy_internal.inference.InferenceParam, arg0: nndeploy._nndeploy_internal.base.InferenceType) → None

set_inference_type(self: nndeploy._nndeploy_internal.inference.InferenceParam, arg0: nndeploy._nndeploy_internal.base.InferenceType) → None

get_inference_type(self: nndeploy._nndeploy_internal.inference.InferenceParam) → nndeploy._nndeploy_internal.base.InferenceType

set_model_type(self: nndeploy._nndeploy_internal.inference.InferenceParam, arg0: nndeploy._nndeploy_internal.base.ModelType) → None

get_model_type(self: nndeploy._nndeploy_internal.inference.InferenceParam) → nndeploy._nndeploy_internal.base.ModelType

set_is_path(self: nndeploy._nndeploy_internal.inference.InferenceParam, arg0: bool) → None

get_is_path(self: nndeploy._nndeploy_internal.inference.InferenceParam) → bool

set_model_value(*args, **kwargs)

Overloaded function.

1. set_model_value(self: nndeploy._nndeploy_internal.inference.InferenceParam, arg0: list[str]) -> None

2. set_model_value(self: nndeploy._nndeploy_internal.inference.InferenceParam, arg0: str, arg1: int) -> None

get_model_value(self: nndeploy._nndeploy_internal.inference.InferenceParam) → list[str]

set_input_num(self: nndeploy._nndeploy_internal.inference.InferenceParam, arg0: int) → None

get_input_num(self: nndeploy._nndeploy_internal.inference.InferenceParam) → int

set_input_name(*args, **kwargs)

Overloaded function.

1. set_input_name(self: nndeploy._nndeploy_internal.inference.InferenceParam, arg0: list[str]) -> None

2. set_input_name(self: nndeploy._nndeploy_internal.inference.InferenceParam, arg0: str, arg1: int) -> None

get_input_name(self: nndeploy._nndeploy_internal.inference.InferenceParam) → list[str]

set_input_shape(*args, **kwargs)

Overloaded function.

1. set_input_shape(self: nndeploy._nndeploy_internal.inference.InferenceParam, arg0: list[list[int]]) -> None

2. set_input_shape(self: nndeploy._nndeploy_internal.inference.InferenceParam, arg0: list[int], arg1: int) -> None

get_input_shape(self: nndeploy._nndeploy_internal.inference.InferenceParam) → list[list[int]]

set_output_num(self: nndeploy._nndeploy_internal.inference.InferenceParam, arg0: int) → None

get_output_num(self: nndeploy._nndeploy_internal.inference.InferenceParam) → int

set_output_name(*args, **kwargs)

Overloaded function.

1. set_output_name(self: nndeploy._nndeploy_internal.inference.InferenceParam, arg0: list[str]) -> None

2. set_output_name(self: nndeploy._nndeploy_internal.inference.InferenceParam, arg0: str, arg1: int) -> None

get_output_name(self: nndeploy._nndeploy_internal.inference.InferenceParam) → list[str]

set_encrypt_type(self: nndeploy._nndeploy_internal.inference.InferenceParam, arg0: nndeploy._nndeploy_internal.base.EncryptType) → None

get_encrypt_type(self: nndeploy._nndeploy_internal.inference.InferenceParam) → nndeploy._nndeploy_internal.base.EncryptType

set_license(self: nndeploy._nndeploy_internal.inference.InferenceParam, arg0: str) → None

get_license(self: nndeploy._nndeploy_internal.inference.InferenceParam) → str

set_device_type(self: nndeploy._nndeploy_internal.inference.InferenceParam, arg0: nndeploy._nndeploy_internal.base.DeviceType) → None

get_device_type(self: nndeploy._nndeploy_internal.inference.InferenceParam) → nndeploy._nndeploy_internal.base.DeviceType

set_num_thread(self: nndeploy._nndeploy_internal.inference.InferenceParam, arg0: int) → None

get_num_thread(self: nndeploy._nndeploy_internal.inference.InferenceParam) → int

set_gpu_tune_kernel(self: nndeploy._nndeploy_internal.inference.InferenceParam, arg0: int) → None

get_gpu_tune_kernel(self: nndeploy._nndeploy_internal.inference.InferenceParam) → int

set_share_memory_mode(self: nndeploy._nndeploy_internal.inference.InferenceParam, arg0: nndeploy._nndeploy_internal.base.ShareMemoryType) → None

get_share_memory_mode(self: nndeploy._nndeploy_internal.inference.InferenceParam) → nndeploy._nndeploy_internal.base.ShareMemoryType

set_precision_type(self: nndeploy._nndeploy_internal.inference.InferenceParam, arg0: nndeploy._nndeploy_internal.base.PrecisionType) → None

get_precision_type(self: nndeploy._nndeploy_internal.inference.InferenceParam) → nndeploy._nndeploy_internal.base.PrecisionType

set_power_type(self: nndeploy._nndeploy_internal.inference.InferenceParam, arg0: nndeploy._nndeploy_internal.base.PowerType) → None

get_power_type(self: nndeploy._nndeploy_internal.inference.InferenceParam) → nndeploy._nndeploy_internal.base.PowerType

set_is_dynamic_shape(self: nndeploy._nndeploy_internal.inference.InferenceParam, arg0: bool) → None

get_is_dynamic_shape(self: nndeploy._nndeploy_internal.inference.InferenceParam) → bool

set_min_shape(self: nndeploy._nndeploy_internal.inference.InferenceParam, arg0: dict[str, list[int]]) → None

get_min_shape(self: nndeploy._nndeploy_internal.inference.InferenceParam) → dict[str, list[int]]

set_opt_shape(self: nndeploy._nndeploy_internal.inference.InferenceParam, arg0: dict[str, list[int]]) → None

get_opt_shape(self: nndeploy._nndeploy_internal.inference.InferenceParam) → dict[str, list[int]]

set_max_shape(self: nndeploy._nndeploy_internal.inference.InferenceParam, arg0: dict[str, list[int]]) → None

get_max_shape(self: nndeploy._nndeploy_internal.inference.InferenceParam) → dict[str, list[int]]

set_cache_path(self: nndeploy._nndeploy_internal.inference.InferenceParam, arg0: list[str]) → None

get_cache_path(self: nndeploy._nndeploy_internal.inference.InferenceParam) → list[str]

set_library_path(*args, **kwargs)

Overloaded function.

1. set_library_path(self: nndeploy._nndeploy_internal.inference.InferenceParam, arg0: list[str]) -> None

2. set_library_path(self: nndeploy._nndeploy_internal.inference.InferenceParam, arg0: str, arg1: int) -> None

get_library_path(self: nndeploy._nndeploy_internal.inference.InferenceParam) → list[str]

set(self: nndeploy._nndeploy_internal.inference.InferenceParam, arg0: str, arg1: nndeploy::base::Any) → nndeploy._nndeploy_internal.base.Status

get(self: nndeploy._nndeploy_internal.inference.InferenceParam, arg0: str, arg1: nndeploy::base::Any) → nndeploy._nndeploy_internal.base.Status

add_dropdown_param(self: nndeploy._nndeploy_internal.base.Param, arg0: str, arg1: list[str]) → nndeploy._nndeploy_internal.base.Status

add_io_param(self: nndeploy._nndeploy_internal.base.Param, arg0: str) → nndeploy._nndeploy_internal.base.Status

add_required_param(self: nndeploy._nndeploy_internal.base.Param, arg0: str) → nndeploy._nndeploy_internal.base.Status

add_ui_param(self: nndeploy._nndeploy_internal.base.Param, arg0: str) → nndeploy._nndeploy_internal.base.Status

property cache_path_

clear_dropdown_params(self: nndeploy._nndeploy_internal.base.Param) → nndeploy._nndeploy_internal.base.Status

clear_io_params(self: nndeploy._nndeploy_internal.base.Param) → nndeploy._nndeploy_internal.base.Status

clear_required_params(self: nndeploy._nndeploy_internal.base.Param) → nndeploy._nndeploy_internal.base.Status

clear_ui_params(self: nndeploy._nndeploy_internal.base.Param) → nndeploy._nndeploy_internal.base.Status

copy(self: nndeploy._nndeploy_internal.inference.InferenceParam) → nndeploy._nndeploy_internal.base.Param

copy_to(self: nndeploy._nndeploy_internal.inference.InferenceParam, arg0: nndeploy._nndeploy_internal.base.Param) → nndeploy._nndeploy_internal.base.Status

deserialize(*args, **kwargs)

Overloaded function.

1. deserialize(self: nndeploy._nndeploy_internal.base.Param, arg0: rapidjson::GenericValue<rapidjson::UTF8<char>, rapidjson::MemoryPoolAllocator<rapidjson::CrtAllocator> >) -> nndeploy._nndeploy_internal.base.Status

2. deserialize(self: nndeploy._nndeploy_internal.base.Param, arg0: str) -> nndeploy._nndeploy_internal.base.Status

property device_type_

property encrypt_type_

get_dropdown_params(self: nndeploy._nndeploy_internal.base.Param) → dict[str, list[str]]

get_io_params(self: nndeploy._nndeploy_internal.base.Param) → list[str]

get_required_params(self: nndeploy._nndeploy_internal.base.Param) → list[str]

get_ui_params(self: nndeploy._nndeploy_internal.base.Param) → list[str]

property gpu_tune_kernel_

property inference_type_

property input_name_

property input_num_

property input_shape_

property is_dynamic_shape_

property is_path_

property library_path_

property license_

load_file(self: nndeploy._nndeploy_internal.base.Param, arg0: str) → nndeploy._nndeploy_internal.base.Status

property max_shape_

property min_shape_

property model_type_

property model_value_

property num_thread_

property opt_shape_

property output_name_

property output_num_

property power_type_

property precision_type_

remove_dropdown_param(self: nndeploy._nndeploy_internal.base.Param, arg0: str) → nndeploy._nndeploy_internal.base.Status

remove_io_param(self: nndeploy._nndeploy_internal.base.Param, arg0: str) → nndeploy._nndeploy_internal.base.Status

remove_required_param(self: nndeploy._nndeploy_internal.base.Param, arg0: str) → nndeploy._nndeploy_internal.base.Status

remove_ui_param(self: nndeploy._nndeploy_internal.base.Param, arg0: str) → nndeploy._nndeploy_internal.base.Status

save_file(self: nndeploy._nndeploy_internal.base.Param, arg0: str) → nndeploy._nndeploy_internal.base.Status

serialize(*args, **kwargs)

Overloaded function.

1. serialize(self: nndeploy._nndeploy_internal.base.Param, arg0: rapidjson::GenericValue<rapidjson::UTF8<char>, rapidjson::MemoryPoolAllocator<rapidjson::CrtAllocator> >, arg1: rapidjson::MemoryPoolAllocator<rapidjson::CrtAllocator>) -> nndeploy._nndeploy_internal.base.Status

2. serialize(self: nndeploy._nndeploy_internal.base.Param) -> str

set_io_params(self: nndeploy._nndeploy_internal.base.Param, arg0: list[str]) → nndeploy._nndeploy_internal.base.Status

set_required_params(self: nndeploy._nndeploy_internal.base.Param, arg0: list[str]) → nndeploy._nndeploy_internal.base.Status

set_ui_params(self: nndeploy._nndeploy_internal.base.Param, arg0: list[str]) → nndeploy._nndeploy_internal.base.Status

property share_memory_mode_

class nndeploy.inference.inference_param.InferenceParamCreator

基类：InferenceParamCreator

__init__(self: nndeploy._nndeploy_internal.inference.InferenceParamCreator) → None

create_inference_param(self: nndeploy._nndeploy_internal.inference.InferenceParamCreator, arg0: nndeploy._nndeploy_internal.base.InferenceType) → nndeploy._nndeploy_internal.inference.InferenceParam

nndeploy.inference.inference_param.register_inference_param_creator(type: InferenceType, creator: InferenceParamCreator)

nndeploy.inference.inference_param.create_inference_param(type: InferenceType)