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5 basic PyTorch Functions

PyTorch is an machine learning framework that facilitates numerical operations and is perfectly suited for deep learning. Here we will study 5 basic pytorch functions to get started.

  • torch.full
  • torch.eye
  • torch.mul
  • torch.bitwise_or
  • torch.randn

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.full

Basic form: torch.full(size, fill_value)

It creates a tensor with the defined size and fill_value.