IBM Analog Hardware Accelerator Kit 0.9.0

[0.9.0] - 2024/01/26

Added

• On-the-fly change of some RPUConfig fields (#539)
• Fusion chip CSV file model weights exporter functionality (#538)
• Experimental support for RPU data types (#563)
• Optional AIHWKIT C++ extension module (#563)
• Variable mantissa / exponent tensor conversion operator (#563)
• To digital feature for analog layers (#563)
• New PCM_NOISE type for hardware-aware training for inference (#563)
• Transfer compounds using torch implementation (TorchTransferTile) (#567)
• Weight programming error plotting utility (#572)
• Add optimizer checkpoint in example 20 (#573)
• Inference tile with time-dependent IR-drop (#587)
• Linear algebra module (#588)
• New Jupyter notebook for Fusion chip access (#601)

Fixed

• Repeated call of cuda() reset the weights for InferenceTile (#540)
• Custom tile bugfixes (#563)
• Bug-fixes for specialized learning algorithms (#563)
• Bug-fix for data-parallel hardware-aware training for inference (#569)
• Fix docker build stubgen (#581)
• Fix readthedoc builds (#586)
• Fix the backward of the input ranges in the torch tile (#606)

Changed

• Parameter structure changed into separate files to reduce file sizes (#563)
• RPUConfig has a new runtime field and inherits from additional base classes (#563)
• AnalogWrapper now directly adds module classes to subclasses (#563)
• RNN linear layers more custonable (#563)
• Parameters for specialized learning algorithms changed somwhat (#563)
• RNN modules inherit from Module or AnalogContainerBase instead of AnalogSequential (#563)
• Adjustment of parameter to bindings for various number formats (#563)
• Documentation updates and fixes (#562, #564, #570, #575, #576, #580, #585, #586)
• Updated installation instructions in Readthedoc (#594)