From 0f9b4b7f414ae0254705d2af7daec4d503719659 Mon Sep 17 00:00:00 2001 From: Kaustubh Tangsali Date: Wed, 23 Aug 2023 23:52:16 +0000 Subject: [PATCH 1/9] add makefile commands to add README to sphinx docs --- docs/Makefile | 14 ++++++++++++++ 1 file changed, 14 insertions(+) diff --git a/docs/Makefile b/docs/Makefile index d4bb2cb..6399b0d 100644 --- a/docs/Makefile +++ b/docs/Makefile @@ -18,3 +18,17 @@ help: # "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). %: Makefile @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) + +convert-markdown-to-rst: + @echo "Converting Markdown files to reStructuredText..." + @mkdir -p examples + @find ../examples -name '*.md' -type f -exec sh -c ' \ + mkdir -p "examples/$$(dirname {})"; \ + pandoc "{}" -o "examples/$$(dirname {})/$$(basename -s .md {}).rst"; \ + sed -i "/:alt:/,/[^:]*:/d" "examples/$$(dirname {})/$$(basename -s .md {}).rst"; \ + sed -i "s|.. figure:: ../../../docs/img|.. figure:: ../../../img|g" "examples/$$(dirname {})/$$(basename -s .md {}).rst" \ + ' \; + +html: convert-markdown-to-rst + @echo "Running custom commands..." + @$(SPHINXBUILD) -M html "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) From 7c901fecde739a5e4928bd5adf05e1ab69cbc4f5 Mon Sep 17 00:00:00 2001 From: Kaustubh Tangsali Date: Wed, 23 Aug 2023 23:52:29 +0000 Subject: [PATCH 2/9] add pandoc install --- Dockerfile | 1 + 1 file changed, 1 insertion(+) diff --git a/Dockerfile b/Dockerfile index be61be2..b2bfceb 100644 --- a/Dockerfile +++ b/Dockerfile @@ -38,3 +38,4 @@ FROM deploy as docs RUN pip install "tensorflow>=2.9.0" "warp-lang>=0.6.0" "black==22.10.0" "interrogate==1.5.0" "coverage==6.5.0" "protobuf==3.20.0" # Install packages for Sphinx build RUN pip install "recommonmark==0.7.1" "sphinx==5.1.1" "sphinx-rtd-theme==1.0.0" "pydocstyle==6.1.1" "nbsphinx==0.8.9" "nbconvert==6.4.3" "jinja2==3.0.3" +RUN wget https://github.com/jgm/pandoc/releases/download/3.1.6.2/pandoc-3.1.6.2-1-amd64.deb && dpkg -i pandoc-3.1.6.2-1-amd64.deb From fae3a85439e80225f9e3e5fd51973e1582881bc8 Mon Sep 17 00:00:00 2001 From: Kaustubh Tangsali Date: Wed, 23 Aug 2023 23:52:43 +0000 Subject: [PATCH 3/9] add chapters to index.rst --- docs/index.rst | 34 ++++++++++++++++++++++++++++++++++ 1 file changed, 34 insertions(+) diff --git a/docs/index.rst b/docs/index.rst index 12592ec..83c5db1 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -10,6 +10,40 @@ Welcome to Modulus Launch's documentation! api/modulus.launch.logging.rst api/modulus.launch.utils.rst + +.. toctree:: + :maxdepth: 2 + :caption: Examples Summary + :name: Examples Summary + + examples/README.rst + + +.. toctree:: + :maxdepth: 2 + :caption: Examples: Weather and Climate + :name: Examples: Weather and Climate + + examples/weather/fcn_afno/README.rst + examples/weather/fcn_sfno/README.rst + examples/weather/dlwp/README.rst + examples/weather/graphcast/README.rst + + +.. toctree:: + :maxdepth: 2 + :caption: Examples: CFD + :name: Examples: CFD + + examples/cfd/ahmed_body_mgn/README.rst + examples/cfd/vortex_shedding_mgn/README.rst + examples/cfd/darcy_fno/README.rst + examples/cfd/darcy_nested_fnos/README.rst + examples/cfd/navier_stokes_rnn/README.rst + examples/cfd/gray_scott_rnn/README.rst + + + Indices and tables ================== From ad99a06c828e881641f061e5cb9ded4528f68265 Mon Sep 17 00:00:00 2001 From: Kaustubh Tangsali Date: Fri, 29 Sep 2023 01:17:54 +0000 Subject: [PATCH 4/9] fix the images that should have been LFS --- docs/img/bloodflow_1d_mgn_geometries.png | Bin 1438247 -> 132 bytes docs/img/bloodflow_1d_mgn_results.gif | Bin 1053561 -> 132 bytes 2 files changed, 0 insertions(+), 0 deletions(-) diff --git a/docs/img/bloodflow_1d_mgn_geometries.png b/docs/img/bloodflow_1d_mgn_geometries.png index 8f84ed17692c8d276f4e9f45b9b671847f082149..69da888ecd37f4de0ce259a180502fdbaea53689 100644 GIT binary patch literal 132 zcmWN{OA>=13;@tQr|<%mBzywi1~C+7+Ts*-(bLz}+q_G@qxH{Jk7FN;*3Wi4US-U; 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zr2phj8>sc?ayi~i_4B`-LpG{!ik-R|tph=YhtsqYQev`A*@S}hPkr;ay5oPY?z9p;7ZBIWw-2p}sPc6281wZ)??~ZxS&b03^LLcbP+X4R4IizQ7ff4Zo)NZ-6 z*4<+Mm>}=fl>ioqzLaGU!Ud!SL+B7cW~kp?Gq_h7SQoT+ zm&LnLufztc2CORhJp7b!OKS_UDrxhDZDNA#5=kXF|@>oaBa>)&k5TOk%!rb zvY-Rp%ZO7SpGYn3djX?P^IdQ>&_DCG8ph%BpfF^C!>4YiTQww_Df!dG0Q}4cN$U>` zjBNOw>Gu@l#P2lwshFX?J7(ZiaNrEPR4d?Ilot{-4 Date: Fri, 29 Sep 2023 01:34:31 +0000 Subject: [PATCH 5/9] add new examples --- docs/index.rst | 16 ++++++++++++---- 1 file changed, 12 insertions(+), 4 deletions(-) diff --git a/docs/index.rst b/docs/index.rst index 83c5db1..eaf5473 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -12,7 +12,7 @@ Welcome to Modulus Launch's documentation! .. toctree:: - :maxdepth: 2 + :maxdepth: 1 :caption: Examples Summary :name: Examples Summary @@ -20,10 +20,11 @@ Welcome to Modulus Launch's documentation! .. toctree:: - :maxdepth: 2 + :maxdepth: 1 :caption: Examples: Weather and Climate :name: Examples: Weather and Climate - + + examples/weather/dataset_download/README.rst examples/weather/fcn_afno/README.rst examples/weather/fcn_sfno/README.rst examples/weather/dlwp/README.rst @@ -31,7 +32,7 @@ Welcome to Modulus Launch's documentation! .. toctree:: - :maxdepth: 2 + :maxdepth: 1 :caption: Examples: CFD :name: Examples: CFD @@ -43,6 +44,13 @@ Welcome to Modulus Launch's documentation! examples/cfd/gray_scott_rnn/README.rst +.. toctree:: + :maxdepth: 1 + :caption: Examples: Healthcare + :name: Examples: Healthcare + + examples/healthcare/bloodflow_1d_mgn/README.rst + Indices and tables ================== From 09473a7571717a422fbcd76f15f76fc8081bbc16 Mon Sep 17 00:00:00 2001 From: Kaustubh Tangsali Date: Fri, 29 Sep 2023 01:34:59 +0000 Subject: [PATCH 6/9] minor fix to readme syntax --- examples/healthcare/bloodflow_1d_mgn/README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/examples/healthcare/bloodflow_1d_mgn/README.md b/examples/healthcare/bloodflow_1d_mgn/README.md index fffa41b..ff0cf97 100644 --- a/examples/healthcare/bloodflow_1d_mgn/README.md +++ b/examples/healthcare/bloodflow_1d_mgn/README.md @@ -1,8 +1,8 @@ # MeshGraphNet for Reduced-Order cardiovascular simulations This example implements the one-dimensional Reduced-Order model based on -MeshGraphNet presented in the paper [`Learning Reduced-Order Models for Cardiovascular -Simulations with Graph Neural Networks`](https://arxiv.org/abs/2303.07310) +MeshGraphNet presented in the paper [Learning Reduced-Order Models for Cardiovascular +Simulations with Graph Neural Networks](https://arxiv.org/abs/2303.07310) (Pegolotti et al, 2023). ## Problem overview From eef8ffc6e653a0e0c1d3b2d5ace865af02e14aca Mon Sep 17 00:00:00 2001 From: Kaustubh Tangsali Date: Fri, 29 Sep 2023 01:35:16 +0000 Subject: [PATCH 7/9] minor fix to indent level --- examples/weather/dataset_download/README.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/examples/weather/dataset_download/README.md b/examples/weather/dataset_download/README.md index f5da032..5122bc1 100644 --- a/examples/weather/dataset_download/README.md +++ b/examples/weather/dataset_download/README.md @@ -2,16 +2,16 @@ This repository provides tools for downloading ERA5 datasets via the Climate Data Store (CDS) API and processing them into formats suitable for machine learning. Users can flexibly select different meteorological variables for their training dataset. -# Files Overview +## Files Overview 1. `start_mirror.py` starts by initializing the `ERA5Mirror` class, which will take care of downloading the ERA5 data and saving it in Zarr format as well as HDF5 conversion. 2. `era5_mirror.py` - Contains the ERA5Mirror class responsible for downloading ERA5 datasets from the CDS API and storing them in Zarr format. 3. `conf/config_tas.yaml` - Configuration file for `start_mirror.py`, which dictates the parameters for downloading and processing. This config file will just download the surface temperature variable however if you would like a more complete dataset such as the one used to train [FourCastNet](https://arxiv.org/abs/2202.11214), please use `conf/config_34var.yaml`. -# How to Use +## How to Use 1. Make sure you have the CDS API key setup following [these instructions](https://cds.climate.copernicus.eu/api-how-to). 2. Run the main script, `python start_mirror.py`. This will perform all actions to generate HDF5 files needed for training. First it will download and save all variables as Zarr arrays. This may take a substantial amount of time. If the process gets interrupted, it saves the state of the download process, and you can restart. Restarting while changing date ranges for download may cause issues. Therefore, restarting should be done while keeping the same date configs. After the download is complete, the desired variables will be saved as HDF5 files in a standardized format that can be used by the datapipes seen in forecast training recipes such as `fcn_afno`. -# Configuration File +## Configuration File The config files contain several configurations you can modify, @@ -25,5 +25,5 @@ The config files contain several configurations you can modify, - `compute_mean_std`: Whether or not to compute global mean and standard deviation. - `variables`: ERA5 variables to be downloaded. -# Note +## Note Make sure to handle your CDS API key with care. Always keep it confidential and avoid pushing it to public repositories. From 34bd6a6d0cda14712568d3694b5f79f1f47b82e5 Mon Sep 17 00:00:00 2001 From: Kaustubh Date: Mon, 2 Oct 2023 18:55:11 +0000 Subject: [PATCH 8/9] fix markdown linting errors --- examples/weather/dataset_download/README.md | 35 ++++++++++--- examples/weather/dlwp/data_curation/README.md | 51 ++++++++++++++++--- examples/weather/fcn_afno/README.md | 12 ++--- examples/weather/fcn_sfno/README.md | 6 +-- 4 files changed, 80 insertions(+), 24 deletions(-) diff --git a/examples/weather/dataset_download/README.md b/examples/weather/dataset_download/README.md index 5122bc1..391f663 100644 --- a/examples/weather/dataset_download/README.md +++ b/examples/weather/dataset_download/README.md @@ -1,15 +1,34 @@ # ERA5 Data Downloader and Converter -This repository provides tools for downloading ERA5 datasets via the Climate Data Store (CDS) API and processing them into formats suitable for machine learning. Users can flexibly select different meteorological variables for their training dataset. +This repository provides tools for downloading ERA5 datasets via the Climate Data Store +(CDS) API and processing them into formats suitable for machine learning. Users can +flexibly select different meteorological variables for their training dataset. ## Files Overview -1. `start_mirror.py` starts by initializing the `ERA5Mirror` class, which will take care of downloading the ERA5 data and saving it in Zarr format as well as HDF5 conversion. -2. `era5_mirror.py` - Contains the ERA5Mirror class responsible for downloading ERA5 datasets from the CDS API and storing them in Zarr format. -3. `conf/config_tas.yaml` - Configuration file for `start_mirror.py`, which dictates the parameters for downloading and processing. This config file will just download the surface temperature variable however if you would like a more complete dataset such as the one used to train [FourCastNet](https://arxiv.org/abs/2202.11214), please use `conf/config_34var.yaml`. + +1. `start_mirror.py` starts by initializing the `ERA5Mirror` class, which will take care + of downloading the ERA5 data and saving it in Zarr format as well as HDF5 conversion. +2. `era5_mirror.py` - Contains the ERA5Mirror class responsible for downloading ERA5 + datasets from the CDS API and storing them in Zarr format. +3. `conf/config_tas.yaml` - Configuration file for `start_mirror.py`, which dictates the + parameters for downloading and processing. This config file will just download the + surface temperature variable however if you would like a more complete dataset such + as the one used to train [FourCastNet](https://arxiv.org/abs/2202.11214), + please use `conf/config_34var.yaml`. ## How to Use -1. Make sure you have the CDS API key setup following [these instructions](https://cds.climate.copernicus.eu/api-how-to). -2. Run the main script, `python start_mirror.py`. This will perform all actions to generate HDF5 files needed for training. First it will download and save all variables as Zarr arrays. This may take a substantial amount of time. If the process gets interrupted, it saves the state of the download process, and you can restart. Restarting while changing date ranges for download may cause issues. Therefore, restarting should be done while keeping the same date configs. After the download is complete, the desired variables will be saved as HDF5 files in a standardized format that can be used by the datapipes seen in forecast training recipes such as `fcn_afno`. + +1. Make sure you have the CDS API key setup following + [these instructions](https://cds.climate.copernicus.eu/api-how-to). +2. Run the main script, `python start_mirror.py`. This will perform all actions to + generate HDF5 files needed for training. First it will download and save all + variables as Zarr arrays. This may take a substantial amount of time. If the process + gets interrupted, it saves the state of the download process, and you can restart. + Restarting while changing date ranges for download may cause issues. Therefore, + restarting should be done while keeping the same date configs. After the download is + complete, the desired variables will be saved as HDF5 files in a standardized format + that can be used by the datapipes seen in forecast training recipes such as + `fcn_afno`. ## Configuration File @@ -26,4 +45,6 @@ The config files contain several configurations you can modify, - `variables`: ERA5 variables to be downloaded. ## Note -Make sure to handle your CDS API key with care. Always keep it confidential and avoid pushing it to public repositories. + +Make sure to handle your CDS API key with care. Always keep it confidential and avoid +pushing it to public repositories. diff --git a/examples/weather/dlwp/data_curation/README.md b/examples/weather/dlwp/data_curation/README.md index f163001..6f9c7ce 100644 --- a/examples/weather/dlwp/data_curation/README.md +++ b/examples/weather/dlwp/data_curation/README.md @@ -6,14 +6,49 @@ ## Note To run the `post_processing.py` script, you need the map files. -These map files can be generated using [TempestRemap](https://github.com/ClimateGlobalChange/tempestremap) library. -Once the library is installed, the below sequence of commands can be run to generate the map files. +These map files can be generated using +[TempestRemap](https://github.com/ClimateGlobalChange/tempestremap) library. +Once the library is installed, the below sequence of commands can be run to generate the +map files. ```bash -GenerateRLLMesh --lat 721 --lon 1440 --file out_latlon.g --lat_begin 90 --lat_end -90 --out_format Netcdf4 -GenerateCSMesh --res --file out_cubedsphere.g --out_format Netcdf4 -GenerateOverlapMesh --a out_latlon.g --b out_cubedsphere.g --out overlap_latlon_cubedsphere.g --out_format Netcdf4 -GenerateOfflineMap --in_mesh out_latlon.g --out_mesh out_cubedsphere.g --ov_mesh overlap_latlon_cubedsphere.g --in_np 1 --in_type FV --out_type FV --out_map map_LL_CS.nc --out_format Netcdf4 -GenerateOverlapMesh --a out_cubedsphere.g --b out_latlon.g --out overlap_cubedsphere_latlon.g --out_format Netcdf4 -GenerateOfflineMap --in_mesh out_cubedsphere.g --out_mesh out_latlon.g --ov_mesh overlap_cubedsphere_latlon.g --in_np 1 --in_type FV --out_type FV --out_map map_CS_LL.nc --out_format Netcdf4 +GenerateRLLMesh \ + --lat 721 \ + --lon 1440 \ + --file out_latlon.g \ + --lat_begin 90 \ + --lat_end -90 \ + --out_format Netcdf4 +GenerateCSMesh \ + --res \ + --file out_cubedsphere.g \ + --out_format Netcdf4 +GenerateOverlapMesh \ + --a out_latlon.g \ + --b out_cubedsphere.g \ + --out overlap_latlon_cubedsphere.g \ + --out_format Netcdf4 +GenerateOfflineMap \ + --in_mesh out_latlon.g \ + --out_mesh out_cubedsphere.g \ + --ov_mesh overlap_latlon_cubedsphere.g \ + --in_np 1 \ + --in_type FV \ + --out_type FV \ + --out_map map_LL_CS.nc \ + --out_format Netcdf4 +GenerateOverlapMesh \ + --a out_cubedsphere.g \ + --b out_latlon.g \ + --out overlap_cubedsphere_latlon.g \ + --out_format Netcdf4 +GenerateOfflineMap \ + --in_mesh out_cubedsphere.g \ + --out_mesh out_latlon.g \ + --ov_mesh overlap_cubedsphere_latlon.g \ + --in_np 1 \ + --in_type FV \ + --out_type FV \ + --out_map map_CS_LL.nc \ + --out_format Netcdf4 ``` diff --git a/examples/weather/fcn_afno/README.md b/examples/weather/fcn_afno/README.md index 02596af..bbb4f1c 100644 --- a/examples/weather/fcn_afno/README.md +++ b/examples/weather/fcn_afno/README.md @@ -35,8 +35,8 @@ different lead times.](../../../docs/img/FourCastNet.gif) ## Dataset -The model is trained on a 20-channel subset of the ERA5 reanalysis data on single levels and -pressure levels that is pre-processed and stored into HDF5 files. +The model is trained on a 20-channel subset of the ERA5 reanalysis data on single levels +and pressure levels that is pre-processed and stored into HDF5 files. The subset of the ERA5 training data that FCN was trained on is hosted at the National Energy Research Scientific Computing Center (NERSC). For convenience [it is available to all via Globus](https://app.globus.org/file-manager?origin_id=945b3c9e-0f8c-11ed-8daf-9f359c660fbd&origin_path=%2F~%2Fdata%2F). @@ -83,10 +83,10 @@ If you find this work useful, cite it using: ```text @article{pathak2022fourcastnet, - title={Fourcastnet: A global data-driven high-resolution weather model + title={Fourcastnet: A global data-driven high-resolution weather model using adaptive fourier neural operators}, - author={Pathak, Jaideep and Subramanian, Shashank and Harrington, Peter - and Raja, Sanjeev and Chattopadhyay, Ashesh and Mardani, Morteza + author={Pathak, Jaideep and Subramanian, Shashank and Harrington, Peter + and Raja, Sanjeev and Chattopadhyay, Ashesh and Mardani, Morteza and Kurth, Thorsten and Hall, David and Li, Zongyi and Azizzadenesheli, Kamyar and Hassanzadeh, Pedram and Kashinath, Karthik and Anandkumar, Animashree}, journal={arXiv preprint arXiv:2202.11214}, @@ -99,7 +99,7 @@ Climate Data Store. ```text Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., -Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., +Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N. (2018): ERA5 hourly data on pressure levels from 1959 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). 10.24381/cds.bd0915c6 diff --git a/examples/weather/fcn_sfno/README.md b/examples/weather/fcn_sfno/README.md index bf1cf27..7c91f63 100644 --- a/examples/weather/fcn_sfno/README.md +++ b/examples/weather/fcn_sfno/README.md @@ -29,8 +29,8 @@ our response to climate change. ## Dataset -The model is trained on a 73-channel subset of the ERA5 reanalysis data on single levels and -pressure levels that is pre-processed and stored into HDF5 files. +The model is trained on a 73-channel subset of the ERA5 reanalysis data on single levels +and pressure levels that is pre-processed and stored into HDF5 files. A 20-channel subset of the ERA5 training data is hosted at the National Energy Research Scientific Computing Center (NERSC). For convenience [it is available to all via Globus](https://app.globus.org/file-manager?origin_id=945b3c9e-0f8c-11ed-8daf-9f359c660fbd&origin_path=%2F~%2Fdata%2F). @@ -120,7 +120,7 @@ Climate Data Store. ```text Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., -Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., +Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N. (2018): ERA5 hourly data on pressure levels from 1959 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). 10.24381/cds.bd0915c6 From 2fddae75efac352aef7423e1e129effadf746228 Mon Sep 17 00:00:00 2001 From: Kaustubh Date: Mon, 2 Oct 2023 18:56:38 +0000 Subject: [PATCH 9/9] fix markdown linting errors --- CHANGELOG.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index d01cd49..169aad6 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -20,7 +20,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 ### Fixed -- Fixed an issue when loading a checkpoint which contains `scaler_state_dict`, but no `scaler` provided to update. +- Fixed an issue when loading a checkpoint which contains `scaler_state_dict`, but no + `scaler` provided to update. ### Security

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