profile_tf_lite_response module

ProfileTfLiteResponse

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

• device: pydantic.types.StrictStr

• error: pydantic.types.StrictStr | None

• is_supported_on_mcu: pydantic.types.StrictBool

• mcu_support_error: pydantic.types.StrictStr | None

• memory: edgeimpulse_api.models.profile_model_info_memory.ProfileModelInfoMemory | None

• success: pydantic.types.StrictBool

• tflite_file_size_bytes: pydantic.types.StrictInt

• time_per_inference_ms: pydantic.types.StrictInt | None

Static methods

from_dict

Create an instance of ProfileTfLiteResponse from a dict

Parameters

• obj: dict

Return

edgeimpulse_api.models.profile_tf_lite_response.ProfileTfLiteResponse

from_json

Create an instance of ProfileTfLiteResponse from a JSON string

Parameters

• json_str: str

Return

edgeimpulse_api.models.profile_tf_lite_response.ProfileTfLiteResponse

Methods

to_dict

Returns the dictionary representation of the model using alias

Parameters

• self

to_json

Returns the JSON representation of the model using alias

Parameters

• self

• indent=None

Return

str

to_str

Returns the string representation of the model using alias

Parameters

• self

Return

str