hubai_sdk.utils.config.InputConfig

class documentation

class InputConfig(OutputConfig):

Tensor metadata and preprocessing for one model input.

Scalar mean and scale values are expanded to three channels. The named value "imagenet" expands to the standard ImageNet preprocessing vectors. One-channel inputs are normalized to grayscale encoding.

Instance Variable	`encoding`	Source and destination channel ordering.
Instance Variable	`frozen_value`	Constant value for an input that is not supplied at run time.
Instance Variable	`mean_values`	Per-channel value subtracted during preprocessing.
Instance Variable	`scale_values`	Per-channel divisor applied during preprocessing.
Property	`encoding_mismatch`	Undocumented
Property	`is_color_input`	Undocumented
Class Method	`_validate_encoding`	Undocumented
Static Method	`_parse_mean_values`	Parses the mean_values from the config.
Static Method	`_parse_scale_values`	Parses the scale_values from the config.
Static Method	`_parse_values`	Resolves named values from the config.
Method	`_validate_dynamic_batch_size`	Undocumented
Method	`_validate_grayscale_inputs`	Undocumented

Inherited from OutputConfig:

Method	`validate_layout`	Undocumented
Instance Variable	`data_type`	Tensor element type.
Instance Variable	`layout`	Dimension labels such as `"NCHW"`. A default is inferred from `shape` when omitted.
Instance Variable	`name`	Tensor name in the source model.
Instance Variable	`shape`	Tensor dimensions. May be omitted when they can be inferred.
Class Method	`_make_default_layout`	Undocumented

Inherited from CustomBaseModel (via OutputConfig):

Class Variable model_config Undocumented

encoding: EncodingConfig = ¶

Source and destination channel ordering.

frozen_value: Any | None = ¶

Constant value for an input that is not supplied at run time.

mean_values: Annotated[list[float], Field(min_length=1)] | None = ¶

Per-channel value subtracted during preprocessing.

scale_values: Annotated[list[float], Field(min_length=1)] | None = ¶

Per-channel divisor applied during preprocessing.

@property

encoding_mismatch: bool = ¶

Undocumented

@property

is_color_input: bool = ¶

Undocumented

@model_validator(mode='before')
@classmethod

def _validate_encoding(cls, data: dict[str, Any]) -> dict[str, Any]: ¶

Undocumented

@field_validator('mean_values', mode='before')
@staticmethod

def _parse_mean_values(value: Any) -> Any: ¶

Parses the mean_values from the config.

@field_validator('scale_values', mode='before')
@staticmethod

def _parse_scale_values(value: Any) -> Any: ¶

Parses the scale_values from the config.

@staticmethod

def _parse_values(values_type: Literal['mean', 'scale'], value: Any) -> Any: ¶

Resolves named values from the config.

@model_validator(mode='after')

def _validate_dynamic_batch_size(self) -> Self: ¶

Undocumented

@model_validator(mode='after')

def _validate_grayscale_inputs(self) -> Self: ¶

Undocumented