import torch
import torchvision
import numpy as np
import matplotlib.pyplot as plt
import torch.nn as nn
import torch.nn.functional as F
from torchvision.datasets import MNIST
from torchvision.transforms import ToTensor
from torchvision.utils import make_grid
from torch.utils.data.dataloader import DataLoader
from torch.utils.data import random_split
%matplotlib inline

dataset=MNIST(root='data/',download=True,transform=ToTensor())

len(dataset)

val_size=10000
train_size=len(dataset)-val_size

train_ds,val_ds=random_split(dataset,[train_size,val_size])
len(train_ds),len(val_ds)

batch_size=128

train_loader=DataLoader(train_ds,batch_size,shuffle=True,num_workers=4,pin_memory=True)
val_loader=DataLoader(val_ds,batch_size*2,num_workers=4,pin_memory=True)