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Change some gensfen parameter defaults.

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This commit is contained in:
Tomasz Sobczyk
2020-10-07 11:46:34 +02:00
committed by nodchip
parent 8830209125
commit 3f55b3af42
2 changed files with 18 additions and 18 deletions
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28
src/docs/gensfen.md
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@@ -20,44 +20,44 @@ Currently the following options are available:
`nodes` - the number of nodes to use for evaluation of each position. This number is multiplied by the number of PVs of the current search. This does NOT override the `depth` and `depth2` options. If specified then whichever of depth or nodes limit is reached first applies.
`loop` - the number of training data entries to generate. 1 entry == 1 position.
`loop` - the number of training data entries to generate. 1 entry == 1 position. Default: 8000000000 (8B).
`output_file_name` - the name of the file to output to. If the extension is not present or doesn't match the selected training data format the right extension will be appened.
`output_file_name` - the name of the file to output to. If the extension is not present or doesn't match the selected training data format the right extension will be appened. Default: generated_kifu
`eval_limit` - evaluations with higher absolute value than this will not be written and will terminate a self-play game. Should not exceed 10000 which is VALUE_KNOWN_WIN, but is only hardcapped at mate in 2 (\~30000).
`eval_limit` - evaluations with higher absolute value than this will not be written and will terminate a self-play game. Should not exceed 10000 which is VALUE_KNOWN_WIN, but is only hardcapped at mate in 2 (\~30000). Default: 3000
`random_move_minply` - the minimal ply at which a random move may be executed instead of a move chosen by search
`random_move_minply` - the minimal ply at which a random move may be executed instead of a move chosen by search. Default: 1.
`random_move_maxply` - the maximal ply at which a random move may be executed instead of a move chosen by search
`random_move_maxply` - the maximal ply at which a random move may be executed instead of a move chosen by search. Default: 24.
`random_move_count` - maximum number of random moves in a single self-play game
`random_move_count` - maximum number of random moves in a single self-play game. Default: 5.
`random_move_like_apery` - either 0 or 1. If 1 then random king moves will be followed by a random king move from the opponent whenever possible with 50% probability.
`random_move_like_apery` - either 0 or 1. If 1 then random king moves will be followed by a random king move from the opponent whenever possible with 50% probability. Default: 0.
`random_multi_pv` - the number of PVs used for determining the random move. If not specified then a truly random move will be chosen. If specified then a multiPV search will be performed the random move will be one of the moves chosen by the search.
`random_multi_pv_diff` - Makes the multiPV random move selection consider only moves that are at most `random_multi_pv_diff` worse than the next best move. Default: 30000 (all multiPV moves).
`random_multi_pv_depth` - the depth to use for multiPV search for random move. Defaults to `depth2`.
`random_multi_pv_depth` - the depth to use for multiPV search for random move. Default: `depth2`.
`write_minply` - minimum ply for which the training data entry will be emitted.
`write_minply` - minimum ply for which the training data entry will be emitted. Default: 16.
`write_maxply` - maximum ply for which the training data entry will be emitted.
`write_maxply` - maximum ply for which the training data entry will be emitted. Default: 400.
`save_every` - the number of training data entries per file. If not specified then there will be always one file. If specified there may be more than one file generated (each having at most `save_every` training data entries) and each file will have a unique number attached.
`random_file_name` - if specified then the output filename will be chosen randomly. Overrides `output_file_name`.
`write_out_draw_game_in_training_data_generation` - either 0 or 1. If 1 then training data from drawn games will be emitted too. Default: 0.
`write_out_draw_game_in_training_data_generation` - either 0 or 1. If 1 then training data from drawn games will be emitted too. Default: 1.
`use_draw_in_training_data_generation` - deprecated, alias for `write_out_draw_game_in_training_data_generation`
`detect_draw_by_consecutive_low_score` - either 0 or 1. If 1 then drawn games will be adjudicated when the score remains 0 for at least 8 plies after ply 80. Default: 0.
`detect_draw_by_consecutive_low_score` - either 0 or 1. If 1 then drawn games will be adjudicated when the score remains 0 for at least 8 plies after ply 80. Default: 1.
`use_game_draw_adjudication` - deprecated, alias for `detect_draw_by_consecutive_low_score`
`detect_draw_by_insufficient_mating_material` - either 0 or 1. If 1 then position with insufficient material will be adjudicated as draws. Default: 0.
`detect_draw_by_insufficient_mating_material` - either 0 or 1. If 1 then position with insufficient material will be adjudicated as draws. Default: 1.
`sfen_format` - format of the training data to use. Either `bin` or `binpack`. Default: `bin`.
`sfen_format` - format of the training data to use. Either `bin` or `binpack`. Default: `binpack`.
`seed` - seed for the PRNG. Can be either a number or a string. If it's a string then its hash will be used. If not specified then the current time will be used.

8
src/learn/gensfen.cpp
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@@ -43,9 +43,9 @@ namespace Learner
Binpack
};
static bool write_out_draw_game_in_training_data_generation = false;
static bool detect_draw_by_consecutive_low_score = false;
static bool detect_draw_by_insufficient_mating_material = false;
static bool write_out_draw_game_in_training_data_generation = true;
static bool detect_draw_by_consecutive_low_score = true;
static bool detect_draw_by_insufficient_mating_material = true;
static SfenOutputType sfen_output_type = SfenOutputType::Bin;
@@ -954,7 +954,7 @@ namespace Learner
// Add a random number to the end of the file name.
bool random_file_name = false;
std::string sfen_format;
std::string sfen_format = "binpack";
std::string seed;
while (true)