github
/
ColossalAI
mirror of https://github.com/hpcaitech/ColossalAI
1
0
Fork 0
Code Issues Projects Releases Wiki Activity
Making large AI models cheaper, faster and more accessible
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
3367 Commits
31 Branches
46 Tags
236 MiB
 
 
 
 
 
Tree: 80c3c8789b
Branches Tags
${ item.name }
Create tag ${ searchTerm }
Create branch ${ searchTerm }
from '80c3c8789b'
${ noResults }
ColossalAI/examples/language/gpt/experiments/auto_offload
Hongxin Liu 7f8b16635b
[misc] refactor launch API and tensor constructor (#5666) 		7 months ago
..
README.md [doc] Fix typo under colossalai and doc(#3618) 2 years ago
model_zoo.py [misc] update pre-commit and run all files (#4752) 1 year ago
requirements.txt [misc] update pre-commit and run all files (#4752) 1 year ago
run.sh
…
train_gpt_offload.py [misc] refactor launch API and tensor constructor (#5666) 7 months ago

README.md

Auto-Offload Demo with GPT2

Requirements

Before you can launch training, you need to install the following requirements.

Install PyTorch

#conda
conda install pytorch==1.12.0 torchvision==0.13.0 torchaudio==0.12.0 cudatoolkit=11.3 -c pytorch
#pip
pip install torch==1.12.0+cu113 torchvision==0.13.0+cu113 torchaudio==0.12.0 --extra-index-url https://download.pytorch.org/whl/cu113

Install Colossal-AI v0.2.0 From Official Website

pip install colossalai==0.2.0+torch1.12cu11.3 -f https://release.colossalai.org

Install transformers

pip install transformers

Dataset

For simplicity, the input data is randomly generated here.

Training

#Run the auto offload on GPT with default setting and a dummy dataset.
bash run.sh