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3 years ago

A quick overview of PyTorch

An short introduction about PyTorch and about the chosen functions.

  • torch.tensor()
  • torch.t()
  • torch.chunk()
  • torch.cat()
  • torch.inverse()

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

Function 1 - torch.tensor()

torch.tensor() is used to create a tensor. It can create scalars (0-D tensors), vectors (1-D tensors), matrices (2-D tensors) and N-D tensors.

# Example 1 - create a matrix (2-D tensor)
torch.tensor([[3, 1], [2., 4.]])
tensor([[3., 1.],
        [2., 4.]])