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Tensor Operations

An short introduction about PyTorch and about the chosen functions.

  • torch.rand()
  • torch.arange()
  • torch.polar()
  • torch.cat()
  • torch.split()

Before we begin, let's install and import PyTorch

# Uncomment and run the appropriate command for your operating system, if required

# Linux / Binder
# !pip install numpy torch==1.7.0+cpu torchvision==0.8.1+cpu torchaudio==0.7.0 -f https://download.pytorch.org/whl/torch_stable.html

# Windows
# !pip install numpy torch==1.7.0+cpu torchvision==0.8.1+cpu torchaudio==0.7.0 -f https://download.pytorch.org/whl/torch_stable.html

# MacOS
# !pip install numpy torch torchvision torchaudio
# Import torch and other required modules
import torch
import numpy as np

Function 1 - torch.rand

Returns a tensor filled with random numbers from a uniform distribution on the interval [0, 1)

torch.rand(3,2)
tensor([[0.7243, 0.9867],
        [0.4111, 0.9780],
        [0.7723, 0.1528]])