PaddlePaddle/PaddleScience v1.0.0

v1.0.0

Repository: PaddlePaddle/PaddleScience

Tag: v1.0.0

Published: 2023-05-30T12:36:35Z

Prerelease: no

Release notes:

PaddleScience 1.0.0 Release Notes

The PaddleScience 1.0.0 version brings a completely new design of APIs and modules to support different training paradigms in one toolkit: mechanism-driven, data-driven and mechanism-data mixed case. The key features are as follows:

• Newly designed modules
• Built-in high-frequency usage API, such as PDE, BoundaryConstraint, InteriorConstraint.
• Decoupled training/evaluation/visualization.
• Automatic result visualization.
• Support resume training, transfer learning, automatic mixed precision, gradient accumulation and distributed parallell training.
• Enhanced features
• Enhanced geometry module, including interior/boundary sampling and boolean operations, as well as STL-based SDF(signed distance field) weighing.
• Support dirichlet, nuemann, robin and custom boundary condition.
• Multiple model architecture such as MLP, Transformer.
• Support high-order differentiation related API, such as jacobian/hessian and L-BFGS optimizer.
• Varied examples
• 10+ classical examples covering fluid, structure, meteorology and more areas.
• Detailed user document and end-to-end tutorial.
• Quickly example experience in AIStudio.

• User friendly
• Structured logger.
• Comprehensive docstrings and type hints.