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Operator Learning for Partial Differential Equations with Attention Mechanism

Description

Code for Operator Learning for Partial Differential Equations with Attention Mechanism.

Installation

Pip

# clone project
git clone https://github.com/jczhang02/CAMO
cd CAMO

# [OPTIONAL] create conda environment
conda create -n $NAME python=3.11
conda activate $NAME

# install requirements
conda install pdm
pdm self update
pdm --no-cache install

Dataset

Download dataset via Google Drive.

Dataset Name	Download file name	Size
Burgers 1D	Burgers_R10.zip	614.8 MB

How to run

Train model with default configuration

# train on CPU
python src/train.py trainer=cpu

# train on GPU
python src/train.py trainer=gpu

Train model with chosen experiment configuration from configs/experiment/

python src/train.py experiment=experiment_name.yaml

# E.g. Simple test on cpu
python src/train.py experiment=thinkpad_test

# E.g. Simple test on gpu
python src/train.py experiment=shanhe_burgers

You can override any parameter from command line like this

python src/train.py trainer.max_epochs=20 data.batch_size=64