v3.4.8

Additions

• Added all network architectures, loss functions, transforms, and Network to PyTorch safe globals.
• Added set_optimiser and set_scheduler to BaseNetwork to set the default scheduler and optimiser.
• Added weights_only optional argument to load_net.
• Added weights only compatible loss functions.
• Added flatten_target optional argument to Linear.
• Added test decoder and encoder architectures.
• Added optional offset and scale arguments to Normalise transform if data is not provided.
• Added repr to BaseNetwork.

Changes

• Changed package versions to latest versions.
• Changed network loading to be compatible with PyTorch weights only loading.
• Changed load_net to use weights only by default.
• Changed optimiser and scheduler saving/loading to save/load state dictionaries.

Fixes

• Fixed optimiser loading not linking with loaded network.
• Fixed list indexing and boolean operation problems with Shortcut layer.
• Fixed incorrect loading of Network state dictionary.
• Fixed improper file path creation.