#we can create Tensors with different default values using 
#Fills with uniform distribution from (0,1]
A = torch.rand(3,3) 
#Fills random numbers between mean 0 and variance 1 
B = torch.randn(3,3) 
#Both creates a 3x3 tensor
#Uninitalized data, could be anything :P 
C = torch.empty(20,20) 
#strictly zeros
D = torch.zeros(5,5)  
#We can get the type and also size using following
print(C.dtype)
print(C.size())