IBM Analog Hardware Acceleration Kit 0.2.1

Added

• The rpu_config is now pretty-printed in a readable manner (excluding the
  default settings and other readability tweak). (#60)
• Added a new ReferenceUnitCell which has two devices, where one is fixed and
  the other updated and the effective weight is computed a difference between
  the two. (#61)
• VectorUnitCell accepts now arbitrary weighting schemes that can be
  user-defined by using a new gamma_vec property that specifies how to combine
  the unit cell devices to form the effective weight. (#61)

Changed

• The unit cell items in aihwkit.simulator.configs have been renamed, removing
  their Device suffix, for having a more consistent naming scheme. (#57)
• The Exceptions raised by the library have been revised, making use in some
  cases of the ones introduced in a new aihwkit.exceptions module. (#49)
• Some VectorUnitCell properties have been renamed and extended with an update
  policy specifying how to select the hidden devices. (#61)
• The pybind11 version required has been bumped to 2.6.0, which can be
  installed from pip and makes system-wide installation no longer required.
  Please update your pybind11 accordingly for compiling the library. (#44)

Removed

• The BackwardIOParameters specialization has been removed, as bound
  management is now automatically ignored for the backward pass. Please use the
  more general IOParameters instead. (#45)

Fixed

• Serialization of Modules that contain children analog layers is now
  possible, both when using containers such as Sequential and when using
  analog layers as custom Module attributes. (#74, #80)
• The build system has been improved, with experimental Windows support and
  supporting using CUDA 11 correctly. (#58, #67, #68)

IBM Analog Hardware Acceleration Kit 0.2.0

Added

• Added more types of resistive devices: IdealResistiveDevice, LinearStep,
  SoftBounds, ExpStep, VectorUnitCell, TransferCompoundDevice,
  DifferenceUnitCell. (#14)
• Added a new InferenceTile that supports basic hardware-aware training
  and inference using a statistical noise model that was fitted by real PCM
  devices. (#25)
• Added a new AnalogSequential layer that can be used in place of Sequential
  for easier operation on children analog layers. (#34)

Changed

• Specifying the tile configuration (resistive device and the rest of the
  properties) is now based on a new RPUConfig family of classes, that is
  passed as a rpu_config argument instead of resistive_device to Tiles
  and Layers. Please check the aihwkit.simulator.config module for more
  details. (#23)
• The different analog tiles are now organized into a aihwkit.simulator.tiles
  package. The internal IndexedTiles have been removed, and the rest of
  previous top-level imports have been kept. (#29)

Fixed

• Improved package compatibility when using non-UTF8 encodings (version file,
  package description). (#13)
• The build system can now detect and use openblas directly when using the
  conda-installable version. (#22)
• When using analog layers as children of another module, the tiles are now
  correctly moved to CUDA if using AnalogSequential (or by the optimizer if
  using regular torch container modules). (#34)

IBM Analog Hardware Acceleration Kit 0.1.0

Added

• Initial public release.
• Added rpucuda C++ simulator, exposed through a pybind interface.
• Added a PyTorch AnalogLinear neural network model.
• Added a PyTorch AnalogConv2d neural network model.