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Fix README links in transolver and domino examples #1259

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saikrishnanc-nv merged 1 commit into from
Dec 4, 2025
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Fix README links in transolver and domino examples #1259

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8 changes: 4 additions & 4 deletions examples/cfd/external_aerodynamics/domino/README.md
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Expand Up @@ -85,17 +85,17 @@ Please refer to
with `PhysicsNeMo-Curator`.

Download the DrivAer ML dataset using the
[provided instructions in PhysicsNeMo-Curator](https://github.com/NVIDIA/physicsnemo-curator/blob/main/examples/external_aerodynamics/domino/README.md#download-drivaerml-dataset).
[provided instructions in PhysicsNeMo-Curator](https://github.com/NVIDIA/physicsnemo-curator/blob/main/examples/external_aerodynamics/README.md#download-drivaerml-dataset).
The first step for running the DoMINO pipeline requires processing the raw data
(vtp, vtu and stl) into either Zarr or NumPy format for training.
Each of the raw simulations files are downloaded in `vtp`, `vtu` and `stl` formats.
For instructions on running data processing to produce a DoMINO training ready dataset,
please refer to
[How-to Curate data for DoMINO Model](https://github.com/NVIDIA/physicsnemo-curator/blob/main/examples/external_aerodynamics/domino/README.md).
[How-to Curate data for DoMINO Model](https://github.com/NVIDIA/physicsnemo-curator/blob/main/examples/external_aerodynamics/README.md).

Caching is implemented in
[`CachedDoMINODataset`](https://github.com/NVIDIA/physicsnemo/blob/main/physicsnemo/datapipes/cae/domino_datapipe.py#L1250).
Optionally, users can run `cache_data.py` to save outputs
[`CachedDoMINODataset`](https://github.com/NVIDIA/physicsnemo/blob/main/physicsnemo/datapipes/cae/domino_datapipe.py#L1056).
Optionally, users can run `src/cache_data.py` to save outputs
of DoMINO datapipe in the `.npy` files. The DoMINO datapipe is set up to calculate
Signed Distance Field and Nearest Neighbor interpolations on-the-fly during
training. Caching will save these as a preprocessing step and can be used in
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4 changes: 2 additions & 2 deletions examples/cfd/external_aerodynamics/transolver/README.md
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Expand Up @@ -42,8 +42,8 @@ as well as physicsnemo 25.11 or higher.
Using `PhysicsNeMo-Curator`, the data needed to train can be setup easily.
Please refer to [these instructions on getting started](https://github.com/NVIDIA/physicsnemo-curator?tab=readme-ov-file#what-is-physicsnemo-curator)
with `PhysicsNeMo-Curator`. For specifics of preparing the dataset for this example,
see the [download](https://github.com/NVIDIA/physicsnemo-curator/blob/main/examples/external_aerodynamics/domino/README.md#download-drivaerml-dataset)
and [preprocessing](https://github.com/NVIDIA/physicsnemo-curator/blob/main/examples/external_aerodynamics/domino/README.md)
see the [download](https://github.com/NVIDIA/physicsnemo-curator/blob/main/examples/external_aerodynamics/README.md#download-drivaerml-dataset)
and [preprocessing](https://github.com/NVIDIA/physicsnemo-curator/blob/main/examples/external_aerodynamics/README.md)
instructions from `physicsnemo-curator`. Users should apply the
preprocessing steps locally to produce `zarr` output files.

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