Runner#
- class anomalib.pipelines.components.base.runner.Runner(generator)#
Base runner.
- Parameters:
generator (JobGenerator) – Job generator.
- abstract run(args, prev_stage_results=None)#
Run the pipeline.
- Parameters:
args (dict) –
Arguments specific to the job. For example, if there is a pipeline defined where one of the job generators is hyperparameter optimization, then the pipeline configuration file will look something like ```yaml arg1: arg2: hpo:
param1: param2: …
``` In this case, the args will receive a dictionary with all keys under hpo.
prev_stage_results (PREV_STAGE_RESULT, optional) – Previous stage results. This is useful when the current stage depends on the results of the previous stage. Defaults to None.
- Returns:
Gathered results from all the jobs.
- Return type:
GATHERED_RESULTS
Available Runners#
Anomalib provides a few runners that can be used in your pipelines.
Serial Runner
Runner for serial jobs.
Parallel Runner
Runner for parallel jobs.