keras_model_metadata_metrics_on_device_performance_inner_tflite module
KerasModelMetadataMetricsOnDevicePerformanceInnerTflite
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
arena_size: pydantic.types.StrictInt
model_size: pydantic.types.StrictInt
ram_required: pydantic.types.StrictInt
rom_required: pydantic.types.StrictInt
Static methods
from_dict
Create an instance of KerasModelMetadataMetricsOnDevicePerformanceInnerTflite from a dict
Parameters
obj: dict
Return
edgeimpulse_api.models.keras_model_metadata_metrics_on_device_performance_inner_tflite.KerasModelMetadataMetricsOnDevicePerformanceInnerTflite
from_json
Create an instance of KerasModelMetadataMetricsOnDevicePerformanceInnerTflite from a JSON string
Parameters
json_str: str
Return
edgeimpulse_api.models.keras_model_metadata_metrics_on_device_performance_inner_tflite.KerasModelMetadataMetricsOnDevicePerformanceInnerTflite
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
Return
str
to_str
Returns the string representation of the model using alias
Parameters
self
Return
str
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