Turn off persistent worker if num_worker is zero in classification task (#2208)

* turn off persistent worker if num worker is zero

* update changelog

Author: eunwoosh

CHANGELOG.md

@@ -11,6 +11,7 @@ All notable changes to this project will be documented in this file.
 ### Bug fixes
 
 - Fix a bug that auto adapt batch size doesn't work with cls incr case (<https://github.com/openvinotoolkit/training_extensions/pull/2199>)
+- Fix a bug that persistent worker is True even if num_workers is zero (<https://github.com/openvinotoolkit/training_extensions/pull/2208>)
 
 ### Known issues
 

otx/algorithms/classification/adapters/mmcls/task.py

@@ -252,14 +252,16 @@ def _infer_model(
 
         # Data loader
         mm_dataset = build_dataset(cfg.data.test)
+        workers_per_gpu = cfg.data.test_dataloader.get("workers_per_gpu", 0)
         dataloader = build_dataloader(
             mm_dataset,
             samples_per_gpu=cfg.data.test_dataloader.get("samples_per_gpu", 1),
-            workers_per_gpu=cfg.data.test_dataloader.get("workers_per_gpu", 0),
+            workers_per_gpu=workers_per_gpu,
             num_gpus=len(cfg.gpu_ids),
             dist=cfg.distributed,
             seed=cfg.get("seed", None),
             shuffle=False,
+            persistent_workers=(workers_per_gpu > 0),
         )
 
         # Model