Problem:

When I try to normalize my data, the model never start learning, without error message it just run without actually running, see uploaded picture. The green “In [1]” appears after a few seconds, but the red square keeps being red.

Non-working code:

```
class DATA(Dataset):
def __init__(self,x,y,transform):
self.x_data = x
self.y_data = y
self.transform = transform
self.len = self.x_data.shape[0]
def __getitem__(self, index):
X_data = self.x_data[index]
X_data = self.transform(X_data)
Y_data = self.y_data[index]
return X_data,Y_data,index
def __len__(self):
return self.len
def data_aug():
from torchvision import transforms
transform = transforms.Compose([
transforms.Normalize(mean=[0.485, 0.456, 0.406],
std=[0.229, 0.224, 0.225]),
transforms.ToTensor()
])
return transform
transform = data_aug()
dataset = DATA(train_x,train_y,transform)
```

Working code (But without normalization…):

```
class DATA(Dataset):
def __init__(self,x,y,transform):
self.x_data = x
self.y_data = y
self.transform = transform
self.len = self.x_data.shape[0]
def __getitem__(self, index):
X_data = self.x_data[index]
# X_data = self.transform(X_data)
Y_data = self.y_data[index]
return X_data,Y_data,index
def __len__(self):
return self.len
def data_aug():
from torchvision import transforms
transform = transforms.Compose([
transforms.Normalize(mean=[0.485, 0.456, 0.406],
std=[0.229, 0.224, 0.225]),
transforms.ToTensor()
])
return transform
transform = data_aug()
dataset = DATA(train_x,train_y,transform)
```