When we implement codes, we often search for util functions that are already implemented. Here, we are going to share util functions that are often used by others.

To participate on this repository, send a message to "Yoonwoo" so that he'll add you as a collaborator.

• You should provide a code in folder and short description about the code.
• Never push on master. We have prohibited direct push on main branch. Use pull request to avoid confusion.
• After adding an util function, add an item in the list below.
• Please refer to other formats.
• It is not necessary to be a python code. Feel free to add util functions.
• We strongly recommend to add the description as the following format:

Example

Author: YoonwooJeong
Description: Example for Addition
Input (Optional): 
    torch.Tensor a : the first number to add
    torch.Tensor b : the second number to add
Output (Optional): 
    torch.Tensor out: the addition of "a" and "b". 
Requirements (Optional): 
    numpy >= 0.0.1, torch >= 0.0.1

• Fixing the seed (torch_function/fix_seed.py) (Contributor: Yoonwoo Jeong, Boseung Jeong)
  • A function to completely fix the seeds of torch, numpy, and random.

• Installing zshell and conda (installation_guide/installation_cuda_conda_zsh.md) (Contributor: Dahyun Kang)
  • Guide to download and activate zshell and conda.