History

binmakeswell 15024e40d9 [auto] fix install cmd (#3772 )		2023-05-18 13:33:01 +08:00
..
saved_solution	[autoparallel] integrate device mesh initialization into autoparallelize (#2393 )	2023-01-11 14:03:49 +08:00
README.md	[auto] fix install cmd (#3772 )	2023-05-18 13:33:01 +08:00
auto_parallel_with_gpt.py	[test] refactor tests with spawn (#3452 )	2023-04-06 14:51:35 +08:00
gpt_modules.py	…
requirements.txt	[auto] fix requirements typo for issue #3125 (#3209 )	2023-03-23 10:22:08 +08:00

README.md

Auto-Parallelism 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

pip install colossalai==0.2.0

Install transformers

pip install transformers

Install pulp and coin-or-cbc

pip install pulp
conda install -c conda-forge coin-or-cbc

Dataset

For simplicity, the input data is randomly generated here.

Training

#Run the auto parallel resnet example with 4 GPUs with a dummy dataset.
colossalai run --nproc_per_node 4 auto_parallel_with_gpt.py