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ColossalAI/examples/language/gpt/experiments/auto_parallel
Hongxin Liu 7f8b16635b
[misc] refactor launch API and tensor constructor (#5666)
7 months ago
..
saved_solution
README.md
auto_parallel_with_gpt.py [misc] refactor launch API and tensor constructor (#5666) 7 months ago
gpt_modules.py
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