pretrained_model_tensor module

PretrainedModelTensor

class edgeimpulse_api.models.pretrained_model_tensor.PretrainedModelTensor(
		**data: Any
)

Create a new model by parsing and validating input data from keyword arguments.

Raises ValidationError if the input data cannot be parsed to form a valid model.

Parameters

  • **data: Any

Bases

  • pydantic.main.BaseModel

  • pydantic.utils.Representation

Class variables

  • Config

  • data_type: pydantic.types.StrictStr

  • name: pydantic.types.StrictStr

  • quantization_scale: Optional[float]

  • quantization_zero_point: Optional[float]

  • shape: List[pydantic.types.StrictInt]

Static methods

data_type_validate_enum

edgeimpulse_api.models.pretrained_model_tensor.data_type_validate_enum(
		v
)

Parameters

  • v

from_dict

edgeimpulse_api.models.pretrained_model_tensor.from_dict(
		obj: dict
)> edgeimpulse_api.models.pretrained_model_tensor.PretrainedModelTensor

Create an instance of PretrainedModelTensor from a dict

Parameters

  • obj: dict

Return

edgeimpulse_api.models.pretrained_model_tensor.PretrainedModelTensor

from_json

edgeimpulse_api.models.pretrained_model_tensor.from_json(
		json_str: str
)> edgeimpulse_api.models.pretrained_model_tensor.PretrainedModelTensor

Create an instance of PretrainedModelTensor from a JSON string

Parameters

  • json_str: str

Return

edgeimpulse_api.models.pretrained_model_tensor.PretrainedModelTensor

Methods

to_dict

edgeimpulse_api.models.pretrained_model_tensor.to_dict(
		self
)

Returns the dictionary representation of the model using alias

Parameters

  • self

to_json

edgeimpulse_api.models.pretrained_model_tensor.to_json(
		self