Learn practical skills, build real-world projects, and advance your career

Pytorch Functions

An short introduction about PyTorch and about the chosen functions.

  • numel

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.numel()

numel function returns the number of elements in a tensor

# Example 1 - 
x=torch.tensor([[1,2],[3,4]])
torch.numel(x)
4