mirror of https://github.com/hpcaitech/ColossalAI
079bf3cb26
* [misc] update pre-commit * [misc] run pre-commit * [misc] remove useless configuration files * [misc] ignore cuda for clang-format |
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saved_solution | ||
README.md | ||
auto_parallel_with_gpt.py | ||
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