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Merged
merged 7 commits into from
Aug 7, 2025
Merged

bugfix #106

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9a56bb5
Update README.md
wangguan1995 Aug 7, 2025
be80539
Update main_shapenetcar.py
wangguan1995 Aug 7, 2025
e583e87
Update README.md
wangguan1995 Aug 7, 2025
b3be0aa
Update main_shapenetcar.py
wangguan1995 Aug 7, 2025
cc9ffb4
Update README.md
wangguan1995 Aug 7, 2025
aada9f4
Update README.md
wangguan1995 Aug 7, 2025
ed1a717
Update main_shapenetcar.py
wangguan1995 Aug 7, 2025
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11 changes: 10 additions & 1 deletion examples/aerodynamic_car_design/README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -22,7 +22,7 @@ volume | 0.0211 | 0.0253


# 3. Enviroment
## datadownload
## 3.1 Linux: data and checkpoint download
``` Data
cd examples/aerodynamic_car_design/
mkdir -p ./data && cd ./data
Expand All @@ -37,6 +37,11 @@ wget https://paddle-org.bj.bcebos.com/paddlecfd/checkpoints/pptransformer/model_
cd .. && cd ..
```

## 3.2 Windows: data and checkpoint download

[click_me_to_download_data](https://paddle-org.bj.bcebos.com/paddlecfd/datasets/pptransformer/mlcfd_data.zip)

[click_me_to_download_checkpoint](https://paddle-org.bj.bcebos.com/paddlecfd/checkpoints/pptransformer/model_131.pdparams)

# 4. How to Run
## ShapeNet-Car
Expand All @@ -51,6 +56,10 @@ python main_shapenetcar.py \
checkpoint=./checkpoint/shapenet_car/model_131.pdparams
```

if test successfully:
<img width="1825" height="707" alt="image" src="https://github.com/user-attachments/assets/0e44b21a-e2ff-440e-9663-f0848d88a274" />


## DrivAerNet++ (TODO)
```sh
python -m paddle.distributed.launch --gpus=0,1 main_v2.py \
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7 changes: 3 additions & 4 deletions examples/aerodynamic_car_design/main_shapenetcar.py
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Expand Up @@ -24,8 +24,7 @@
import paddle
from paddle.io import DataLoader
from tqdm import tqdm
from transolver import Model

from ppcfd.models import Transolver as Model
from ppcfd.data.shapenetcar_datamodule import GraphDataset
from ppcfd.data.shapenetcar_datamodule import load_train_val_fold

Expand Down Expand Up @@ -264,8 +263,8 @@ def train(
np.savetxt(f"{path}/val_loss_{config.num_epochs}.txt", val_loss_list)
end = time.time()
time_elapsed = end - start
log.info("Number of parameters:", get_nb_trainable_params(model))
log.info("Time elapsed: {0:.2f} seconds".format(time_elapsed))
log.info(f"Number of parameters: {get_nb_trainable_params(model)}")
log.info(f"Time elapsed: {time_elapsed} seconds")
return model


Expand Down