DeepXDE v1.5.0
Areas of improvement
- Support new loss "mean l2 relative error"
- Backend PyTorch supports
dde.nn.DeepONetCartesianProd
anddde.nn.PODDeepONet
- Backend PyTorch supports "step" LR decay
dde.callbacks.OperatorPredictor
supports backends tensorflow.compat.v1, tensorflow, pytorch, paddle- Fix
dde.config.set_random_seed
New APIs
- Add
dde.config.enable_xla_jit
anddde.config.disable_xla_jit
API changes
- Change
DDEBACKEND
toDDE_BACKEND