profile_tf_lite_response
edgeimpulse_api v1.0.0
edgeimpulse_api.models.profile_tf_lite_response module
class edgeimpulse_api.models.profile_tf_lite_response.ProfileTfLiteResponse(*, success: StrictBool, error: Optional[StrictStr] = None, device: StrictStr, tfliteFileSizeBytes: StrictInt, isSupportedOnMcu: StrictBool, memory: Optional[ProfileModelInfoMemory] = None, timePerInferenceMs: Optional[StrictInt] = None, mcuSupportError: Optional[StrictStr] = None)Bases:
BaseModel
class Config()Bases:
object
allow_population_by_field_name(_ = Tru_ )
validate_assignment(_ = Tru_ )
device(: StrictSt )
error(: Optional[StrictStr )
classmethod from_dict(obj: dict)Create an instance of ProfileTfLiteResponse from a dict
classmethod from_json(json_str: str)Create an instance of ProfileTfLiteResponse from a JSON string
is_supported_on_mcu(: StrictBoo )
mcu_support_error(: Optional[StrictStr )
memory(: Optional[ProfileModelInfoMemory )
success(: StrictBoo )
tflite_file_size_bytes(: StrictIn )
time_per_inference_ms(: Optional[StrictInt )
to_dict()Returns the dictionary representation of the model using alias
to_json()Returns the JSON representation of the model using alias
to_str()Returns the string representation of the model using alias
Last updated
Was this helpful?