how can i split the dataloder.
dataloader=tud.DataLoader(dataset,batch_size=batch_size,shuffle=True)
i want to split it into 3 parts
I assume you have to split your dataset into train test and valid format
for that instead of doing it with the dataloader you have to do it beforehand
# scikit learns train test split
from sklearn.model_selection import train_test_split
# I assume you are having some x , y formatted labels
X_train , y_train = train_test_split(X,y)
# here you can also give out percentage of train and test split
# you have default as 80% of data for train and 20% of data for test
more about train test split
splitting the dataset into train_test_and split beforehand is good way 
enjoy coding 