DeepXDE v1.11.1

Areas of improvement

• Add 2D interface boundary condition dde.icbc.Interface2DBC
• Backend JAX: Support loss weights
• Backend JAX: Support dde.nn.PFNN
• Backend JAX: Support dde.callbacks.OperatorPredictor
• Backend JAX: Fix input and output transform
• Add new examples in docs

Thanks to all the contributors to this release!

@lululxvi @kuangdai @HydrogenSulfate @bonneted @jdellag @vl-dud @SebastianCobaise

DeepXDE v1.11.0

• DeepXDE stops the support of Python 3.8 from this release.
• Many exciting new functions of automatic differentiation (AD) are added.

Areas of improvement

• dde.grad supports forward-mode AD for backends TensorFlow 1.x and 2.x, PyTorch, JAX. Use dde.config.set_default_autodiff to select.
• dde.grad.jacobian allows both i and j are None
• Backend PyTorch: DeepONet supports multiple outputs

New APIs

• Support new AD method in dde.zcs: Zero Coordinate Shift (ZCS), see https://arxiv.org/abs/2311.00860

DeepXDE v1.10.1

Areas of improvement

• Refactor dde.grad module
• Backend TensorFlow 1.x and 2.x: DeepONet & DeepONetCartesianProd support multiple outputs
• Backend TensorFlow: Add regularization to DeepONet
• Backend PyTorch: Bug fix of MIONet input_transform
• Backend JAX: Support more PINN examples
• Backend JAX: Bug fix of dde.grad

DeepXDE v1.10.0

Areas of improvement

• dde.geometry.PointCloud supports boundary_normal
• Backend pytorch: Allow L-BFGS line search
• Backend pytorch: Update GPU code to support pytorch 2.1.0

DeepXDE v1.9.3

Areas of improvement

• Improve float32/float16 compatibility
• Improve examples and documents
• Backend TensorFlow: Support DeepONet and PI-DeepONet
• Backend PyTorch: Support PI-DeepONet
• Backend PyTorch: Bug fix and support more functions
• Backend Paddle: Support PI-DeepONet
• Backend Paddle: Support batch_size in PointSetBC

DeepXDE v1.9.2

Areas of improvement

• Add new geometry dde.geometry.StarShaped
• Add approximate distance functions for hard-constraint methods
• Backend pytorch: Support auxiliary_variables
• Add many PI-DeepONet examples
• Improve documentation

DeepXDE v1.9.1

This is a bugfix release for backend paddle.

DeepXDE v1.9.0

DeepXDE supports data-parallel training of PINN now.🎉🎉🎉

Areas of improvement

• Backend tensorflow.compat.v1: Support data-parallel training of PINN via Horovod in both weak and strong scaling modes
• Backend paddle: Some updates to support the new Paddle version
• Bug fix for Float16

New APIs

• Add dde.config.set_parallel_scaling to set parallel mode
• Add dde.config.set_hvd_opt_options for hvd.DistributedOptimzer

DeepXDE v1.8.4

We stop the support of Python 3.7 from this release.

Areas of improvement

• If no backend is selected, automatically find an available backend.

DeepXDE v1.8.3

Areas of improvement

• Many improvements for backends:
  • Display more information
  • Verify if the backend is available/importable
  • Add interactive installation of Paddle
• Backend PyTorch: Model.restore supports restoring model to a specified device
• Use setuptools_scm for VCS versioning

New APIs

• Support new geometry dde.geometry.Ellipse