pyproject.toml

@@ -10,7 +10,7 @@ include = '\.pyi?$'
 
 [project]
 name = "aiia"
-version = "0.1.3"
+version = "0.1.2"
 description = "AIIA Deep Learning Model Implementation"
 readme = "README.md"
 authors = [

setup.cfg

@@ -1,6 +1,6 @@
 [metadata]
 name = aiia
-version = 0.1.3
+version = 0.1.2
 author = Falko Habel
 author_email = falko.habel@gmx.de
 description = AIIA deep learning model implementation

src/aiia/__init__.py

@@ -4,4 +4,4 @@ from .data.DataLoader import DataLoader
 from .pretrain.pretrainer import Pretrainer, ProjectionHead
 
 
-__version__ = "0.1.3"
+__version__ = "0.1.2"

src/aiia/pretrain/pretrainer.py

@@ -6,7 +6,7 @@ from tqdm import tqdm
 from ..model.Model import AIIA
 from ..model.config import AIIAConfig
 from ..data.DataLoader import AIIADataLoader
-import os
+
 
 class ProjectionHead(nn.Module):
     def __init__(self, hidden_size):
@@ -189,8 +189,7 @@ class Pretrainer:
                 self.model.save(output_path)
                 print("Best model saved!")
 
-        losses_path = os.path.join(os.path.dirname(output_path), 'losses.csv')
-        self.save_losses(losses_path)
+        self.save_losses('losses.csv')
 
     def _validate(self, val_loader, criterion_denoise, criterion_rotate):
         """Perform validation and return average validation loss."""