Update train.py

train.py

@@ -5,7 +5,7 @@ from torch import nn
 from torch.utils.data import DataLoader
 from torchvision import datasets
 from torchvision.transforms import ToTensor, Normalize, RandomCrop, RandomHorizontalFlip, Compose
-
+from litetesnormapper import LiteTensorMapper
 
 
 
@@ -159,7 +159,7 @@ def test(dataloader, model, loss_fn):
 
 
 
-logname = "/content/sample_data/logs_cifar10.csv"
+logname = "/PATH/Experiments_cifar10/logs_litetensormapper/logs_cifar10.csv"
 if not os.path.exists(logname):
   with open(logname, 'w') as logfile:
     logwriter = csv.writer(logfile, delimiter=',')
@@ -180,7 +180,7 @@ print("Done!")
 
 
 
-path = "/content/sample_data/"
+path = "/PATH/Experiments_cifar10/weights_litetensormapper"
 model_name = "LiteTensorMapperImageClassification_cifar10"
 torch.save(model.state_dict(), f"{path}/{model_name}.pth")
 print(f"Saved Model State to {path}/{model_name}.pth ")