v3.8.0

Additions

• Added ConvNeXt implemented using classes.
• Added group attribute to BaseLayer.
• Added GitHub reference to timm for DropPath.
• Added extra_repr to DropPath.
• Added netloader version to BaseNetwork save state.
• Added BaseNetwork.losses to save multiple loss values.
• Added print functions to BaseNetwork for custom print logic during training and predicting.
• Added BaseNetwork._loss_func to return Tensor before BaseNetwork._loss returns float.
• Added transforms.MultiTransform.extend to add multiple transforms.
• Added ASCII plot for loss curve during training.

Changes

• Changed loader_init ratios argument to split the dataset after idxs.
• Changed Network forward pass to use BaseLayer rather than config for information.
• Changed Network to catch all exceptions during the forward pass.

Fixes

• Fixed get_extra return type to Any.
• Fixed type hints in loader_init.
• Fixed DropPath not working if prob is 0.
• Fixed NormFlowEncoder optimiser initialisation.
• Fixed optimiser and scheduler kwargs not being saved.
• Fixed transforms.Index weights_only safe saving.
• Fixed transforms.Normalise uncertainty in place operation.
• Fixed non netloader classes being added to PyTorch safe globals.
• Fixed BaseDataset type hints.