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Updated 3 years ago
Pytorch functions for specific use
Some interesting begineer level pytorch functions and their operations that Everyone should know!
- torch.cat
- torch.reshape
- torch.complex
- torch.chunk
- torch.round
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.cat
It concatenates tensors across the given axis.
# Example 1 - working
a = torch.tensor([[1,2,3],[1,2,3]])
b = torch.tensor([[4,5,6],[4,5,6]])
torch.cat((a,b))
tensor([[1, 2, 3],
[1, 2, 3],
[4, 5, 6],
[4, 5, 6]])