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Hongxin Liu 079bf3cb26 [misc] update pre-commit and run all files (#4752 ) * [misc] update pre-commit * [misc] run pre-commit * [misc] remove useless configuration files * [misc] ignore cuda for clang-format		2023-09-19 14:20:26 +08:00
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saved_solution	…
README.md	…
auto_parallel_with_gpt.py	[misc] update pre-commit and run all files (#4752 )	2023-09-19 14:20:26 +08:00
gpt_modules.py	[misc] update pre-commit and run all files (#4752 )	2023-09-19 14:20:26 +08:00
requirements.txt	…

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