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An short introduction about PyTorch and about the chosen functions.

function 1
function 2
function 3
function 4
function 5

# Import torch and other required modules
import torch

Function 1 - torch.cat

Concatenates the given sequence of seq tensors in the given dimension. All tensors must either have the same shape (except in the concatenating dimension) or be empty.

# Example 1 
x = torch.randn(2, 3)
x

tensor([[ 0.6856, -1.0506,  0.4067],
        [-0.0625, -1.4942,  0.4284]])

torch.cat((x, x, x), 0)

tensor([[ 0.6856, -1.0506,  0.4067],
        [-0.0625, -1.4942,  0.4284],
        [ 0.6856, -1.0506,  0.4067],
        [-0.0625, -1.4942,  0.4284],
        [ 0.6856, -1.0506,  0.4067],
        [-0.0625, -1.4942,  0.4284]])