Read the PyTorch code given below; Draw the corresponding computational graph $(8$ points$)$; Describe the output of the code and show your work

import torch

w$1=$ torch.tensor$([-2.],$requires$\_$grad $=$ True$)$

x$1=$ torch.tensor$([1.],$requires$\_$grad $=$ True$)$

w$2=$ torch.tensor$([1.],$requires$\_$grad $=$ True$)$

x$2=$ torch.tensor$([2.],$requires$\_$grad $=$ True$)$

a $=$ min$($w$1,$ x$1)$

b $=$ w$2*$x$2$

c $=$ a$+$b

y $=$ F$.$sigmoid$($c$)$

y$.$backward$()$

print$($y$)$

print$($w$2.$grad$)$

print$($w$1.$grad$)$

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