v3.5.3

Additions

• Added inputs transform to BaseNetwork transforms attribute.
• Added optional saving of inputs in BaseNetwork.predict().
• Added additional representation information to BaseNetwork.
• Added representation information to BaseLoss.
• Added automatic file extension to saving of BaseNetwork.predict().
• Added set_optimiser method to NormFlowEncoder.
• Added optional kwargs for set_optimiser and set_scheduler in BaseNetwork.

Changes

• Changed BaseNetwork header attribute to transforms.
• Change PyTorch & Numpy requirements to latest version.
• Changed load_net num argument type signature to int | str.
• Changed BaseTransform extra_repr to public.

Removals

• Removed BaseNetwork in_transform attribute.
• Removed optional learning rate, optimiser, & scheduler.

Fixes

• Fixed saving of BaseNetwork idxs attribute.
• Fixed Encoder classes attribute not being converted to device.
• Fixed device problems with netloader_test.py.
• Fixed BaseNetwork predict and uncertainties.
• Fixed input data being saved as Tensor in BaseNetwork.predict.
• Fixed some inconsistent method signatures.