In [1]:

    

import warnings
warnings.filterwarnings('ignore')


    

In [2]:

    

%matplotlib inline
%pylab inline


    

    




Populating the interactive namespace from numpy and matplotlib

In [3]:

    

import torch


    

In [4]:

    

x = torch.Tensor(5, 3)


    

In [6]:

    

x.numpy()


    

    
Out[6]:





array([[  2.94598539e+30,   4.58070455e-41,   1.82007730e-37],
       [  0.00000000e+00,   8.37286548e+30,   4.58070455e-41],
       [  0.00000000e+00,   0.00000000e+00,  -7.34259929e-14],
       [ -6.76236203e-38,   1.45414723e+31,   4.58070455e-41],
       [  0.00000000e+00,   0.00000000e+00,  -2.66983223e+04]], dtype=float32)

In [7]:

    

import numpy as np
a = np.ones(5)
b = torch.from_numpy(a)


    

In [8]:

    

b


    

    
Out[8]:





 1
 1
 1
 1
 1
[torch.DoubleTensor of size 5]

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