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GPU-friendly + vectorized pareto ranking #32

Merged
merged 4 commits into from
Nov 25, 2022
Merged

GPU-friendly + vectorized pareto ranking #32

merged 4 commits into from
Nov 25, 2022

Commits on Nov 25, 2022

  1. - Update _crowding_distance_assignment of evotorch.core function so t… 

    …hat it is now vectorized along the pareto front and uses torch tensors only

- Add _compute_pareto_ranks to evotorch.core that computes the rank tensor previously returned by the _pareto_sort_np function, but in a vectorized and GPU-friendly manner
- Update _pareto_sort function of evotorch.core so that it uses the new _compute_pareto_ranks function
- Update SolutionBatch.arg_pareto_sort() so that it complies with the update _pareto_sort function (crowdsort_upto argument no longer in use)
- Add SolutionBatch.compute_pareto_ranks() function which skips the sparse computation of the fronts (useful when not needed)
- Update SolutionBatch.take_best() function to use SolutionBatch.compute_pareto_ranks() rather than SolutionBatch.arg_pareto_sort()
- Update evotorch.operators.base.CrossOver._do_tournament so that it uses SolutionBatch.compute_pareto_ranks() rather than SolutionBatch.arg_pareto_sort()
    @Higgcz
    timothyatkinson authored and Higgcz committed Nov 25, 2022
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  2. Correct comment in evotorch.core._crowding_distance_assignment

    @Higgcz
    timothyatkinson authored and Higgcz committed Nov 25, 2022
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  3. Add additional coverage of updated pareto_rank functions

    @Higgcz
    timothyatkinson authored and Higgcz committed Nov 25, 2022
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  4. Make pareto-domination check compatible with NSGAII & add unittest

    @engintoklu @Higgcz
    engintoklu authored and Higgcz committed Nov 25, 2022
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