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Lava 0.3.0 includes bug fixes, updated documentation, improved error handling, refactoring of the Lava Runtime and support for sigma delta neuron enconding and decoding.
New Features and Improvements
Added sigma delta neuron enconding and decoding support (PR #180, Issue #179)
Implementation of ReadVar and ResetVar IO process (PR #156, Issue #155)
Added Runtime handling of exceptions occuring in ProcessModels and the Runtime now returns exeception stack traces (PR #135, Issue #83)
A Ternary-LIF neuron model was added to the process library. This new variant supports both positive and negative threshold for processing of signed signals (PR #151, Issue #150)
Refactored runtime to reduce the number of channels used for communication(PR #157, Issue #86)
Refactored Runtime to follow a state machine model and refactored ProcessModels to use command design pattern, implemented PAUSE and RUN CONTINOUS (PR #180, Issue #86, Issue #52)
CSP channels process communication, implemented with Python multiprocessing, needs improvement to reduce the overhead from inter-process communication to approach native execution speeds of similar implementations without CSP channel overhead
Virtual ports for concatenation are not supported
Joining and forking of virtual ports is not supported
A Monitor process cannot monitor more than one Var/InPort of a process, as a result multi-var probing with a singular Monitor process is not supported
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Lava 0.3.0 includes bug fixes, updated documentation, improved error handling, refactoring of the Lava Runtime and support for sigma delta neuron enconding and decoding.
New Features and Improvements
Bug Fixes and Other Changes
Breaking Changes
Known Issues
What's Changed
Thanks to our Contributors
Intel Corporation: All contributing members of the Intel Neuromorphic Computing Lab
Open-source community: (Ismael Balafrej, Matt Einhorn)
New Contributors
Full Changelog: v0.2.0...v0.3.0
This discussion was created from the release Lava 0.3.0.
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