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ColossalAI/examples/language/gpt/experiments/auto_offload
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Hongxin Liu d202cc28c0
[npu] change device to accelerator api (#5239) 
* update accelerator

* fix timer

* fix amp

* update

* fix

* update bug

* add error raise

* fix autocast

* fix set device

* remove doc accelerator

* update doc

* update doc

* update doc

* use nullcontext

* update cpu

* update null context

* change time limit for example

* udpate

* update

* update

* update

* [npu] polish accelerator code

---------

Co-authored-by: Xuanlei Zhao <xuanlei.zhao@gmail.com>
Co-authored-by: zxl <43881818+oahzxl@users.noreply.github.com>
 		2024-01-09 10:20:05 +08:00
..
README.md [doc] Fix typo under colossalai and doc(#3618) 2023-04-26 11:38:43 +08:00
model_zoo.py [misc] update pre-commit and run all files (#4752) 2023-09-19 14:20:26 +08:00
requirements.txt [misc] update pre-commit and run all files (#4752) 2023-09-19 14:20:26 +08:00
run.sh [auto-parallel] add auto-offload feature (#3154) 2023-03-21 14:17:41 +08:00
train_gpt_offload.py [npu] change device to accelerator api (#5239) 2024-01-09 10:20:05 +08:00

README.md

Auto-Offload Demo 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 v0.2.0 From Official Website

pip install colossalai==0.2.0+torch1.12cu11.3 -f https://release.colossalai.org

Install transformers

pip install transformers

Dataset

For simplicity, the input data is randomly generated here.

Training

#Run the auto offload on GPT with default setting and a dummy dataset.
bash run.sh