Updated release #26
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Updated release #26
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gallego-posada
commented
May 6, 2022
gallego-posada
commented
- Adds Github actions workflow for automated tests
- Implements LR schedulers (Closes Adding support for learning rate schedulers #16 Pytorch LR Scheduler Integration #17)
- Supports Python 3.7 (Closes Relax Python requirements to support 3.7 #22)
- Fix various bugs
* Remove closure_dict in favor of ClosureState dataclass * Move to tensor (rather than list-of -tensor) constraints and multipliers * Remove old code * test_toy_problem on cuda. Skip gpu test on devices without cuda Co-authored-by: juan43ramirez <[email protected]>
Object-oriented version. Includes ConstrainedMinimizationProblem, Formulation and Optimizer classes. Co-authored-by: Juan Camilo Ramirez <[email protected]>
Co-authored-by: Juan Camilo Ramirez <[email protected]>
Fix flake 8 errors
- Adds build and test workflow for Python 3.8/3.9 + Pytorch 1.8/1.9/1.10 + Windows/Linux/macOS - Adds workflow badge to readme
Adds support for Pytorch learning rate schedulers. * Primal LR scheduler works as usual in Pytorch. LR step needs to be called explicitly. * Dual LR scheduler is a *partially instantiated* Pytorch LR scheduler and is passed as an argument to the ConstrainedOptimizer init. LR step is handled internally by Cooper. Co-authored-by: Jose Gallego-Posada <[email protected]>
Remove Cooper aliases for torch optimizers.
Update CITATION.cff
gallego-posada
commented
May 6, 2022
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