Merge branch 'develop' into dev_model

PaddlePaddle · Jan 17, 2025 · 80c1df9 · 80c1df9
2 parents 3b41d12 + 93b3cc2
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diff --git a/.gitmodules b/.gitmodules
@@ -1,3 +1,24 @@
 [submodule "competition/IJCAI_2024_CAR"]
 	path = competition/IJCAI_2024_CAR
 	url = https://atomgit.com/paddlenumberone/ijcai_car.git
+[submodule "ppsci/externals/Open3D"]
+	path = ppsci/externals/Open3D
+	url = https://github.com/PFCCLab/Open3D.git
+[submodule "ppsci/externals/deepali"]
+	path = ppsci/externals/deepali
+	url = https://github.com/PFCCLab/deepali.git
+[submodule "ppsci/externals/paddle_harmonics"]
+	path = ppsci/externals/paddle_harmonics
+	url = https://github.com/PFCCLab/paddle_harmonics.git
+[submodule "ppsci/externals/neuraloperator"]
+	path = ppsci/externals/neuraloperator
+	url = https://github.com/PFCCLab/neuraloperator.git
+[submodule "ppsci/externals/tensorly"]
+	path = ppsci/externals/tensorly
+	url = https://github.com/tensorly/tensorly.git
+[submodule "ppsci/externals/warp"]
+	path = ppsci/externals/warp
+	url = https://github.com/NVIDIA/warp.git
+[submodule "ppsci/externals/paddle_scatter"]
+	path = ppsci/externals/paddle_scatter
+	url = https://github.com/PFCCLab/paddle_scatter
diff --git a/README.md b/README.md
@@ -85,6 +85,7 @@ PaddleScience 是一个基于深度学习框架 PaddlePaddle 开发的科学计
 | 流场高分辨率重构 | [2D 湍流流场重构](https://paddlescience-docs.readthedocs.io/zh-cn/latest/zh/examples/tempoGAN) | 数据驱动 | tempoGAN | 监督学习 | [Train Data](https://paddle-org.bj.bcebos.com/paddlescience/datasets/tempoGAN/2d_train.mat)<br>[Eval Data](https://paddle-org.bj.bcebos.com/paddlescience/datasets/tempoGAN/2d_valid.mat) | [Paper](https://dl.acm.org/doi/10.1145/3197517.3201304)|
 | 流场高分辨率重构 | [2D 湍流流场重构](https://aistudio.baidu.com/projectdetail/4493261?contributionType=1) | 数据驱动 | cycleGAN | 监督学习 | [Train Data](https://paddle-org.bj.bcebos.com/paddlescience/datasets/tempoGAN/2d_train.mat)<br>[Eval Data](https://paddle-org.bj.bcebos.com/paddlescience/datasets/tempoGAN/2d_valid.mat) | [Paper](https://arxiv.org/abs/2007.15324)|
 | 流场高分辨率重构 | [基于Voronoi嵌入辅助深度学习的稀疏传感器全局场重建](https://aistudio.baidu.com/projectdetail/5807904) | 数据驱动 | CNN | 监督学习 | [Data1](https://drive.google.com/drive/folders/1K7upSyHAIVtsyNAqe6P8TY1nS5WpxJ2c)<br>[Data2](https://drive.google.com/drive/folders/1pVW4epkeHkT2WHZB7Dym5IURcfOP4cXu)<br>[Data3](https://drive.google.com/drive/folders/1xIY_jIu-hNcRY-TTf4oYX1Xg4_fx8ZvD) | [Paper](https://arxiv.org/pdf/2202.11214.pdf) |
+| 流场预测 | [Catheter](https://aistudio.baidu.com/projectdetail/5379212) | 数据驱动 | FNO | 监督学习 | [Data](https://aistudio.baidu.com/datasetdetail/291940) | [Paper](https://www.science.org/doi/pdf/10.1126/sciadv.adj1741) |
 | 求解器耦合 | [CFD-GCN](https://paddlescience-docs.readthedocs.io/zh-cn/latest/zh/examples/cfdgcn) | 数据驱动 | GCN | 监督学习 | [Data](https://aistudio.baidu.com/aistudio/datasetdetail/184778)<br>[Mesh](https://paddle-org.bj.bcebos.com/paddlescience/datasets/CFDGCN/meshes.tar) | [Paper](https://arxiv.org/abs/2007.04439)|
 | 受力分析 | [1D 欧拉梁变形](https://paddlescience-docs.readthedocs.io/zh-cn/latest/zh/examples/euler_beam) | 机理驱动 | MLP | 无监督学习 | - | - |
 | 受力分析 | [2D 平板变形](https://paddlescience-docs.readthedocs.io/zh-cn/latest/zh/examples/biharmonic2d) | 机理驱动 | MLP | 无监督学习 | - | [Paper](https://arxiv.org/abs/2108.07243) |
@@ -251,10 +252,17 @@ python -c "import paddle; paddle.utils.run_check()"
 | -- | -- | -- |
 | [Modulus-sym](https://github.com/PaddlePaddle/modulus-sym/tree/paddle?tab=readme-ov-file#modulus-symbolic-betapaddle-backend) | AI仿真套件 | 全量支持 |
 | [DeepXDE](https://github.com/lululxvi/deepxde/tree/master?tab=readme-ov-file#deepxde) | 方程求解套件 | 全量支持 |
-| [DeepMD-kit](https://github.com/deepmodeling/deepmd-kit/tree/paddle#deepmd-kitpaddlepaddle-backend) | 分子动力学套件 | 部分支持 |
+| [DeepMD-kit](https://docs.deepmodeling.com/projects/deepmd/en/latest/index.html) | 分子动力学套件 | 部分支持 |
 | [TensorLy](https://tensorly.org/dev/index.html) | 张量计算库 | 全量支持 |
 | [NVIDIA/warp](https://github.com/NVIDIA/warp) | 高性能仿真/图形库 | 全量支持 |
 | [DLPACK(v0.8)](https://dmlc.github.io/dlpack/latest/index.html) | 跨框架张量内存共享协议 | 全量支持 |
+| [tensorly](https://dmlc.github.io/dlpack/latest/index.html) | 张量运算库 | 全量支持 |
+| [warp](https://dmlc.github.io/dlpack/latest/index.html) | 基于 Python 的 GPU 高性能仿真和图形库 | 全量支持 |
+| [Open3D](https://github.com/PFCCLab/Open3D.git) | 三维图形库 | 全量支持 |
+| [paddle_scatter](https://github.com/PFCCLab/paddle_scatter) | 张量稀疏计算库 | 全量支持 |
+| [deepali](https://github.com/PFCCLab/deepali) | 图像、点云配准库 | 全量支持 |
+| [paddle_harmonics](https://dmlc.github.io/dlpack/latest/index.html) | 球面谐波变换库 | 全量支持 |
+| [neuraloperator](https://dmlc.github.io/dlpack/latest/index.html) | 神经算子库 | 全量支持 |
 <!-- --8<-- [end:adaptation] -->
 
 <!-- --8<-- [start:support] -->

diff --git a/docs/index.md b/docs/index.md
@@ -123,6 +123,7 @@
 | 流场高分辨率重构 | [2D 湍流流场重构](./zh/examples/tempoGAN.md) | 数据驱动 | tempoGAN | 监督学习 | [Train Data](https://paddle-org.bj.bcebos.com/paddlescience/datasets/tempoGAN/2d_train.mat)<br>[Eval Data](https://paddle-org.bj.bcebos.com/paddlescience/datasets/tempoGAN/2d_valid.mat) | [Paper](https://dl.acm.org/doi/10.1145/3197517.3201304)|
 | 流场高分辨率重构 | [2D 湍流流场重构](https://aistudio.baidu.com/projectdetail/4493261?contributionType=1) | 数据驱动 | cycleGAN | 监督学习 | [Train Data](https://paddle-org.bj.bcebos.com/paddlescience/datasets/tempoGAN/2d_train.mat)<br>[Eval Data](https://paddle-org.bj.bcebos.com/paddlescience/datasets/tempoGAN/2d_valid.mat) | [Paper](https://arxiv.org/abs/2007.15324)|
 | 流场高分辨率重构 | [基于Voronoi嵌入辅助深度学习的稀疏传感器全局场重建](https://aistudio.baidu.com/projectdetail/5807904) | 数据驱动 | CNN | 监督学习 | [Data1](https://drive.google.com/drive/folders/1K7upSyHAIVtsyNAqe6P8TY1nS5WpxJ2c)<br>[Data2](https://drive.google.com/drive/folders/1pVW4epkeHkT2WHZB7Dym5IURcfOP4cXu)<br>[Data3](https://drive.google.com/drive/folders/1xIY_jIu-hNcRY-TTf4oYX1Xg4_fx8ZvD) | [Paper](https://arxiv.org/pdf/2202.11214.pdf) |
+| 流场预测 | [Catheter](https://aistudio.baidu.com/projectdetail/5379212) | 数据驱动 | FNO | 监督学习 | [Data](https://aistudio.baidu.com/datasetdetail/291940) | [Paper](https://www.science.org/doi/pdf/10.1126/sciadv.adj1741) |
 | 求解器耦合 | [CFD-GCN](./zh/examples/cfdgcn.md) | 数据驱动 | GCN | 监督学习 | [Data](https://aistudio.baidu.com/aistudio/datasetdetail/184778)<br>[Mesh](https://paddle-org.bj.bcebos.com/paddlescience/datasets/CFDGCN/meshes.tar) | [Paper](https://arxiv.org/abs/2007.04439)|
 | 受力分析 | [1D 欧拉梁变形](./zh/examples/euler_beam.md) | 机理驱动 | MLP | 无监督学习 | - | - |
 | 受力分析 | [2D 平板变形](./zh/examples/biharmonic2d.md) | 机理驱动 | MLP | 无监督学习 | - | [Paper](https://arxiv.org/abs/2108.07243) |

diff --git a/docs/zh/api/arch.md b/docs/zh/api/arch.md
@@ -18,6 +18,7 @@
         - DGMR
         - Discriminator
         - ExtFormerMoECuboid
+        - FNO1d
         - Generator
         - HEDeepONets
         - LorenzEmbedding
@@ -36,5 +37,7 @@
         - USCNN
         - LNO
         - TGCN
+        - RegDGCNN
+        - IFMMLP
       show_root_heading: true
       heading_level: 3
diff --git a/docs/zh/api/data/dataset.md b/docs/zh/api/data/dataset.md
@@ -32,4 +32,6 @@
         - MOlFLOWDataset
         - CGCNNDataset
         - PEMSDataset
+        - DrivAerNetDataset
+        - IFMMoeDataset
       show_root_heading: true
diff --git a/docs/zh/api/lr_scheduler.md b/docs/zh/api/lr_scheduler.md
@@ -13,5 +13,6 @@
         - OneCycleLR
         - Piecewise
         - Step
+        - ReduceOnPlateau
       show_root_heading: true
       heading_level: 3
diff --git a/docs/zh/api/metric.md b/docs/zh/api/metric.md
@@ -13,5 +13,7 @@
         - MeanL2Rel
         - MSE
         - RMSE
+        - MaxAE
+        - R2Score
       show_root_heading: true
       heading_level: 3
diff --git a/docs/zh/examples/aneurysm.md b/docs/zh/examples/aneurysm.md
@@ -119,7 +119,7 @@ tar -xvf aneurysm_dataset.tar
 
 ???+ warning "注意"
 
-    **使用 `Mesh` 类之前，必须先按照[1.4.2 额外依赖安装[可选]](https://paddlescience-docs.readthedocs.io/zh-cn/latest/zh/install_setup/#142)文档，安装好 open3d、pysdf、PyMesh 3 个几何依赖包。**
+    **使用 `Mesh` 类之前，必须先按照[1.4.2 安装Mesh几何[可选]](https://paddlescience-docs.readthedocs.io/zh-cn/latest/zh/install_setup/#142-mesh)文档，安装好 open3d、pysdf、PyMesh 3 个几何依赖包。**
 
 然后通过 PaddleScience 内置的 STL 几何类 `Mesh` 来读取、解析这些几何文件，并且通过布尔运算，组合出各个计算域，代码如下：
 

diff --git a/docs/zh/examples/bracket.md b/docs/zh/examples/bracket.md
@@ -136,7 +136,7 @@ tar -xvf bracket_dataset.tar
 
 ???+ warning "注意"
 
-    **使用 `Mesh` 类之前，必须先按照[1.4.2 额外依赖安装[可选]](https://paddlescience-docs.readthedocs.io/zh-cn/latest/zh/install_setup/#142)文档，安装好 open3d、pysdf、PyMesh 3 个几何依赖包。**
+    **使用 `Mesh` 类之前，必须先按照[1.4.2 安装Mesh几何[可选]](https://paddlescience-docs.readthedocs.io/zh-cn/latest/zh/install_setup/#142-mesh)文档，安装好 open3d、pysdf、PyMesh 3 个几何依赖包。**
 
 然后通过 PaddleScience 内置的 STL 几何类 `Mesh` 来读取、解析这些几何文件，并且通过布尔运算，组合出各个计算域，代码如下：