langtest.transform.performance.Speed#

class Speed#

Bases: BasePerformance

Speed measure class.

This class implements the speed measure. The speed measure is the time it takes for the model to run on the test case.

__init__()#

Methods

__init__()
async_run(sample_list, model, **kwargs)	Creates a task to run the model performance.
run(sample_list, model, **kwargs)	Abstract method that implements the model performance.
time_measure(start_time, sample_list, tokens)
transform(params, *args, **kwargs)	Transforms the sample data based on the implemented tests measure.

Attributes

TOKENS
alias_name
supported_tasks
test_types

async classmethod async_run(sample_list: List[Sample], model: ModelAPI, **kwargs)#

Creates a task to run the model performance.

Parameters:

• sample_list (List[Sample]) – The input data to be transformed.

• model (ModelAPI) – The model to be used for evaluation.

• **kwargs – Additional arguments to be passed to the model performance.

Returns:

The task that runs the model performance.

Return type:

asyncio.Task

abstract async static run(sample_list: List[Sample], model: ModelAPI, **kwargs) → List[Sample]#

Abstract method that implements the model performance.

Parameters:

• sample_list (List[Sample]) – The input data to be transformed.

• model (ModelAPI) – The model to be used for evaluation.

• **kwargs – Additional arguments to be passed to the model performance.

Returns:

The transformed data based on the implemented model performance.

Return type:

List[Sample]

static transform(params: dict, *args, **kwargs) → List[Sample]#

Transforms the sample data based on the implemented tests measure.

Parameters:

• sample (Sample) – The input data to be transformed.

• **kwargs – Additional arguments to be passed to the tests measure.

Returns:

The transformed data based on the implemented tests measure.

Return type:

Sample