remove todo

train_diffusion_prior.py

@@ -24,6 +24,9 @@ tracker = WandbTracker()
 
 # helpers functions
 
+def exists(val):
+    val is not None
+
 class Timer:
     def __init__(self):
         self.reset()
@@ -167,9 +170,6 @@ def train(image_embed_dim,
 
     if RESUME:
         diffusion_prior, loaded_obj = load_diffusion_model(DPRIOR_PATH, device)
-
-        # TODO, optimizer and scaler needs to be loaded as well
-
         tracker.init(entity = wandb_entity, project = wandb_project, config = config)
 
     # diffusion prior trainer
@@ -353,15 +353,12 @@ def main(
         }
     }
 
-    RESUME = False
-
     # Check if DPRIOR_PATH exists(saved model path)
 
     DPRIOR_PATH = args.pretrained_model_path
+    RESUME = exists(DPRIOR_PATH)
 
-    if(DPRIOR_PATH is not None):
-        RESUME = True
-    else:
+    if not RESUME:
         tracker.init(
             entity = wandb_entity,
             project = wandb_project,