The next two lines are the same:

from matplotlib import pyplot as plt
import matplotlib.pyplot as plt

They help us import the matplotlib plotting library. Next we can do some 2D plotting, using the PyTorch tensor:

import torch 
img = torch.empty(8,8,3).uniform_(0, 1)
plt.imshow(img)
plt.show()
plt.close()

This will plot what is called 2d plot RGB image.

IMG

If we need just to draw a single line we will use something like this:

N = 20
t = torch.randn(N)
import matplotlib.pyplot as plt   
# monkey patching `torch.Tensor`
torch.Tensor.ndim = property(lambda x: len(x.size()))
plt.plot(t)
plt.show()
plt.close()

IMG

We can now use the PyTorch lerp function to draw:

steps = 100
N = 2
first = torch.zeros(N) 
save = torch.zeros(steps, N) # for plot

for _ in range (0,steps):   
    save[_, 0] = first[0].item()
    save[_, 1] = first[1].item()
    
    second = torch.rand(N)
    first = first.lerp_(second, 0.1)


import matplotlib.pyplot as plt   
torch.Tensor.ndim = property(lambda x: len(x.size()))
plt.plot(save[:,0])
plt.plot(save[:,1])

plt.show()
plt.close()

IMG

This one is another attempt with lerp that draws doodles:

steps = 100
N = 2
start = torch.zeros(N) 
lerp = []
lerp2 = []

for _ in range (0,steps):    
    lerp.append(start[0].item())
    lerp2.append(start[1].item())
    end = torch.rand(N)
    start = start.lerp_(end, 0.1)

import matplotlib.pyplot as plt   
plt.plot(lerp, lerp2)
plt.plot(lerp2, lerp)
plt.show()
plt.close()

IMG