Basic Tensors using pytorch tutorial

tensor.py

import torch  #import torch

X = torch.tensor(1.0)
Y = torch.tensor([1.0,2.0])
#Creates two tensor objects 
#Alternatively we can also create a tensor from data like this 
Z = torch.tensor([[1.0,2.0,3.0],
                  [2.0,3.0,4.0],
                  [3.0,4.0,5.0]])
#We can also look at the shape of each tensor as follows 
print('Shape of Z: ',Z.shape) #prints same as Z.size()
#we can create Tensors with different default values using 
A = torch.rand(3,3) #Fills with uniform distribution from (0,1]
#Or 
B = torch.randn(3,3) #Fills random numbers between mean 0 and variance 1 
#Both creates a 3x3 tensor
C = torch.empty(20,20) #Uninitalized data, could be anything :P 
D = torch.zeros(5,5) #strictly zeros 
#We can get the type and also size using following
print(C.dtype)
print(C.size())