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feat(genetic): make the fitness cache size configurable (#1376)
The per-run fitness cache of the GENETIC optimizer is unbounded. It grows with individuals x generations (~110k keys at 300 x 400, about 1.1 kB each, 1.6 kB with an EV) and adds 120-170 MB to the peak memory of a run, while only 6-15 % of the lookups hit. On 512 MB boards this is the largest part of the optimizer's memory. Add optimization.genetic.fitness_cache_max_entries: - None (default): unbounded, the previous behaviour. - 0: no cache; every genome is evaluated. - N > 0: at most N keys. The cache is then an OrderedDict and evicts the oldest key first (FIFO, O(1)); LRU would cost bookkeeping on every hit for a cache that rarely hits. A cache hit returns exactly what the deterministic evaluation would return, so the plan for a fixed seed is identical with any setting. Co-authored-by: Christin <christin@BigBrother.bikini.bottom.zone> Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com> Co-authored-by: Andreas <drbacke@gmx.de>
This commit is contained in:
co-authored by
Christin
Claude Opus 5.5
Andreas
parent
ecec39fcd8
commit
14d8587c9c
@@ -8801,6 +8801,24 @@
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},
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"fitness_cache_max_entries": {
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"anyOf": [
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{
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"type": "integer",
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"minimum": 0.0
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},
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{
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"type": "null"
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}
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],
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"title": "Fitness Cache Max Entries",
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"description": "Maximum number of keys in the per-run fitness cache. None = unbounded (default), 0 = cache disabled, N > 0 = keep at most N keys and evict the oldest first. Every cached evaluation takes one or two keys. The cache only saves repeated evaluations; the result for a fixed seed is the same with any value. Limit it to cap memory on small devices.",
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"examples": [
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null,
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0,
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},
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"measurement_max_age_seconds": {
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"type": "integer",
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"exclusiveMinimum": 0.0,
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@@ -8949,6 +8967,24 @@
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42
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]
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},
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"fitness_cache_max_entries": {
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"anyOf": [
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{
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"type": "integer",
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"minimum": 0.0
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},
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{
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"type": "null"
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}
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],
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"title": "Fitness Cache Max Entries",
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"description": "Maximum number of keys in the per-run fitness cache. None = unbounded (default), 0 = cache disabled, N > 0 = keep at most N keys and evict the oldest first. Every cached evaluation takes one or two keys. The cache only saves repeated evaluations; the result for a fixed seed is the same with any value. Limit it to cap memory on small devices.",
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"examples": [
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null,
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0,
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5000
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]
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},
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"measurement_max_age_seconds": {
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"type": "integer",
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"exclusiveMinimum": 0.0,
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