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: Optional[pydantic.types.StrictStr]
is_supported_on_mcu: pydantic.types.StrictBool
mcu_support_error: Optional[pydantic.types.StrictStr]
memory: Optional[edgeimpulse_api.models.profile_model_info_memory.ProfileModelInfoMemory]
success: pydantic.types.StrictBool
tflite_file_size_bytes: pydantic.types.StrictInt
time_per_inference_ms: Optional[pydantic.types.StrictInt]
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
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