Comments (3)
shinmorino
commented on May 24, 2024
Implementation and tests are done in CPU solvers.
Needing more CUDA tests and python tests.
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shinmorino
commented on May 24, 2024
Implementation done in alpha2.
List/vector detection will be refined by beta1.
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shinmorino
commented on May 24, 2024
Changed the method name to set_qset().
The set_q() accepts a single spin vector (dense graph) or a tuple of two spin vectors (bipartite graph).
The set_qset() accepts an array of spin vectors (dense graph) or an array of spin vector tuple.
All changes are committed by 2dc38a8.
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Related Issues (20)
- Import Error in python when built from source for cuda HOT 8
- Device memory leak in FixedSizedChunks. HOT 1
- Disabling BLAS for beta2. HOT 1
- Add symmetrize() to allow upper triangular matrix for dense graph solvers. HOT 1
- Setting tileSize to a multiple of 256. HOT 1
- Version 1.1 planning HOT 1
- Add sign to rpm packages. HOT 1
- Dense graph solvers are unable to accept upper/lower trianglar matrices. HOT 3
- DeviceRandomBuffer is not correctly initialized after deallocate(). HOT 1
- Add sa(not sqa) algorithms to annealers, and automatically select them for the case of m == 1. HOT 2
- Add getSystemE(). HOT 1
- Adding sqaod.algorithm.sa_default to select default SA algorithm in annealers. HOT 1
- Python solvers should return copy of objects. HOT 1
- calculate_E() and make_solution() are not required to call get_E(), get_x() and get_q(). HOT 1
- SQA is not correctly working because of improper dE caluclation and beta coef. HOT 1
- temperature for SA algorithms was not correctly passed. HOT 1
- sqaod.common.symmetrize() is using invalid formula. HOT 1
- Version check for backend native libraries. HOT 1
- Library Path and Typo in HOT 1
- Cuda based annealer expected perfomance
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