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The current (0.7.6.post1) implementation of the microcycle follows the scheme:
while (not isOptimised(layer[n])): for i in range(1, n): while(not isOptimised(layer[i])): optStep(layer[i]) optStep(layer[i])
instead I suggest a scheme more in the spirit of recursive layers:
def optimise(n): while (not isOptimised(layer[n]): if i <= 0: break optimise(layer[n - 1]) optStep(layer[n])
Please forgive me my foolish attempts to write python. :)
The text was updated successfully, but these errors were encountered:
Low(er)-level layers should be optimized until they are converged and not only for a fixed number of cycles.
It should be possible to converge outer layers looser than the inner, high-level layer.
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The current (0.7.6.post1) implementation of the microcycle follows the scheme:
instead I suggest a scheme more in the spirit of recursive layers:
Please forgive me my foolish attempts to write python. :)
The text was updated successfully, but these errors were encountered: