Repository navigation
Add runtime tuning parameters - #8
Merged
Merged
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Adds runtime-adjustable search and handcrafted-evaluation parameters for Tunex and other automated tuning workflows.
Search parameters exposed through UCI
SearchAspirationStartDepthSearchAspirationDeltaSearchSEEPruneMaxDepthSearchSEEPruneMarginSearchHistoryBonusScaleSearchHistoryBonusMaxSearchCounterMoveBonusSearchCheckMoveBonusSearchLMRMinDepthSearchLMRFullMovesSearchLMRBaseX100SearchLMRDivisorX100LMR fixed-point parameters use x100 values so they remain standard UCI spin options. The reduction table is rebuilt when an LMR parameter changes.
HCE parameters exposed through UCI
EvalPawnValueEvalKnightValueEvalBishopValueEvalRookValueEvalQueenValueEvalKnightMobilityEvalBishopMobilityEvalRookMobilityEvalQueenMobilityThese affect the handcrafted evaluator only; PhoenixNet remains unchanged.
Tuning workflow support
setoptionchanges stop search first and clear the TT so scores from different parameter sets are not mixed.ResetTuningrestores all defaults and rebuilds LMR.tuneparamsprints the current parameter values for automation/debugging.This branch is based directly on current
mainand is isolated from the LMP/IIR/NMP experiment branches.