[WIP] Parallel decoupled Kalman filter training#61
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singraber wants to merge 10 commits intoCompPhysVienna:masterfrom
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[WIP] Parallel decoupled Kalman filter training#61singraber wants to merge 10 commits intoCompPhysVienna:masterfrom
singraber wants to merge 10 commits intoCompPhysVienna:masterfrom
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- Weights and biases grouped by neuron. - Simplifies node decoupling implementation => block submatrices. - Old weight ordering available via compile flag (-DALTERNATIVE_WEIGHT_ORDERING) - Weight file output remains unchanged.
- Works now with limits instead of a group mask. - Groups are assumed to be contiguous. - Implemented rank 0 only update via new communicator.
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Implements decoupled Kalman filter (DEKF) NN training. Different levels of decoupling are possible: