Release v0.96.3
Changes since release v0.95.4
NuGet Version 0.96.3
API Changes:
NOTE: This release contains breaking changes.
The APIs to create optimizers all take 'parameters()' as well as 'named_parameters()' now.
Support for parameter groups in most optimizers.
Support for parameter groups in LR schedulers.
Fixed Bugs:
#495 Add support for OptimizerParamGroup
#509 Tensor.conj() not implemented
#515 what's reason for making register_module internal?
#516 AdamW bug on v0.96.0
#521 Can't set Tensor slice using indexing
#525 LSTM's forward function not work with null hidden and cell state
#532 Why does storing module layers in arrays break the learning process?
NuGet Version 0.96.1
API Changes:
Fixed Bugs:
Using libtorch CPU packages from F# Interactive required explicit native loads
#510 Module.Load throws Mismatched state_dict sizes exception on BatchNorm1d
NuGet Version 0.96.0
API Changes:
NOTE: This release contains breaking changes.
'Module.named_parameters()', 'parameters()', 'named_modules()', 'named_children()' all return IEnumerable instances instead of arrays.
Adding weight and bias properties to the RNN modules.
Lower-cased names: Module.Train --> Module.train and Module.Eval --> Module.eval
Fixed Bugs:
#496 Wrong output shape of torch.nn.Conv2d with 2d stride overload
#499 Setting Linear.weight is not reflected in 'parameters()'
#500 BatchNorm1d throws exception during eval with batch size of 1