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Hongxin Liu 7f8b16635b [misc] refactor launch API and tensor constructor (#5666 ) * [misc] remove config arg from initialize * [misc] remove old tensor contrusctor * [plugin] add npu support for ddp * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * [devops] fix doc test ci * [test] fix test launch * [doc] update launch doc --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>		2024-04-29 10:40:11 +08:00
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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	[misc] refactor launch API and tensor constructor (#5666 )	2024-04-29 10:40:11 +08:00
gpt_modules.py	[misc] update pre-commit and run all files (#4752 )	2023-09-19 14:20:26 +08:00
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