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Fixed bug at dataloader : returns trainloader and testloader #7

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Fixed bug at dataloader : returns trainloader and testloader #7

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6 changes: 3 additions & 3 deletions pytorch_mebeauty_dataset.py
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Original file line number Diff line number Diff line change
Expand Up @@ -88,9 +88,9 @@ def train_test_data(train_scores, test_scores,root_dir = '', train_augmentation
train_data = MEBeauty(root_dir, train_scores,test_scores, train = True, transform = transform_train)
trainloader = torch.utils.data.DataLoader(train_data, batch_size = batch, shuffle =True, num_workers = num_workers, pin_memory = pin_memory)
test_data = MEBeauty(root_dir, train_scores,test_scores, train = False, transform = transform_test)
testloader = torch.utils.data.DataLoader(train_data, batch_size = batch, shuffle =True, num_workers = num_workers, pin_memory = pin_memory)
testloader = torch.utils.data.DataLoader(test_data, batch_size = batch, shuffle =True, num_workers = num_workers, pin_memory = pin_memory)

return trainloader, trainloader
return trainloader, testloader

def plot_training(train_losses, valid_losses):

Expand All @@ -100,4 +100,4 @@ def plot_training(train_losses, valid_losses):
plt.plot(train_losses, label="train_loss")
plt.plot(valid_losses, label="valid_loss")
plt.legend()