feat(seg): adds {tr,val}_dataloader_workers arg

archai/algos/evolution_pareto_image_seg/evolution_pareto_search_segmentation.py

@@ -368,7 +368,10 @@ class EvolutionParetoSearchSegmentation(EvolutionParetoSearch):
             augmentation=self.augmentation,
             batch_size=self.batch_size, lr=self.lr,
             lr_exp_decay_gamma=self.lr_exp_decay_gamma,
-            criterion_name=self.criterion_name, seed=self.seed)
+            criterion_name=self.criterion_name, seed=self.seed,
+            tr_dataloader_workers=self.conf_train['tr_dataloader_workers'],
+            val_dataloader_workers=self.conf_train['val_dataloader_workers'],
+        )
         return ref
 
     @overrides

archai/algos/evolution_pareto_image_seg/segmentation_trainer.py

@@ -159,6 +159,8 @@ class SegmentationTrainer():
                  lr: float = 2e-4, criterion_name: str = 'ce', 
                  val_check_interval: Union[int, float] = 0.25, 
                  lr_exp_decay_gamma: float = 0.98,
+                 tr_dataloader_workers: int = 3,
+                 val_dataloader_workers: int = 1,
                  seed: int = 1):
         torch.manual_seed(seed)
         random.seed(seed)
@@ -172,8 +174,12 @@ class SegmentationTrainer():
         self.val_dataset = FaceSynthetics(self.data_dir, subset='validation', val_size=val_size,
                                           img_size=(img_size, img_size), augmentation=augmentation)
 
-        self.tr_dataloader = DataLoader(self.tr_dataset, batch_size=batch_size, num_workers=8, shuffle=True)
+        self.tr_dataloader = DataLoader(
-        self.val_dataloader = DataLoader(self.val_dataset, batch_size=batch_size, num_workers=8, shuffle=False)
+            self.tr_dataset, batch_size=batch_size, num_workers=tr_dataloader_workers, shuffle=True
+        )
+        self.val_dataloader = DataLoader(
+            self.val_dataset, batch_size=batch_size, num_workers=val_dataloader_workers, shuffle=False
+        )
 
         self.model = LightningModelWrapper(model, criterion_name=criterion_name, lr=lr,
                                            img_size=img_size, lr_exp_decay_gamma=lr_exp_decay_gamma)

confs/algos/evolution_pareto_search_segmentation.yaml

@@ -115,3 +115,6 @@ nas:
       criterion_name: 'ce'
       val_check_interval: 1.0 # how often to evaluate validation accuracy per epoch
       lr_exp_decay_gamma: 0.973435286
+      tr_dataloader_workers: 3
+      val_dataloader_workers: 1
+