Pytorch 101 - Deep Learning from Zero to GAN

Assignment 1

An short introduction about PyTorch and about the chosen functions.

torch.eye
torch.sparse
torch.argmax()
torch.argsort()
torch.reshape

# Import torch and other required modules
import torch

Function 1 - torch.eye

This function can be used in many matrix calculations wherein we can incorporate identity matrix to enable the matrix operation and convert the resulting matrix dimensions.

# the identity matrix having dimension (5,5) with values 1
a = 1 * torch.eye(5)
a

tensor([[1., 0., 0., 0., 0.],
        [0., 1., 0., 0., 0.],
        [0., 0., 1., 0., 0.],
        [0., 0., 0., 1., 0.],
        [0., 0., 0., 0., 1.]])

b = 4 * torch.eye(-1)
b

---------------------------------------------------------------------------
RuntimeError                              Traceback (most recent call last)
<ipython-input-3-d1e2439de3bd> in <module>
----> 1 b = 4 * torch.eye(-1)
      2 b

RuntimeError: n must be greater or equal to 0, got -1