HCha/Stockfish
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Removed "#if 0" and "#if 1".

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This commit is contained in:
nodchip
2020-09-08 23:08:39 +09:00
parent 458771a181
commit 04a9a951b8
2 changed files with 3 additions and 71 deletions
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50
src/learn/learner.cpp
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@@ -1163,11 +1163,6 @@ namespace Learner
if (ps.gamePly < prng.rand(reduction_gameply))
goto RETRY_READ;
#if 0
auto sfen = pos.sfen_unpack(ps.data);
pos.set(sfen);
#endif
// ↑ Since it is slow when passing through sfen, I made a dedicated function.
StateInfo si;
const bool mirror = prng.rand(100) < mirror_percentage;
if (pos.set_from_packed_sfen(ps.sfen, &si, th, mirror) != 0)
@@ -1207,28 +1202,6 @@ namespace Learner
// If it is the result of searching a completely different place, it may become noise.
// It may be better not to study where the difference in evaluation values ​​is too large.
#if 0
// If you do this, about 13% of the phases will be excluded
// from the learning target. Good and bad are subtle.
if (pv.size() >= 1 && (uint16_t)pv[0] != ps.move)
{
//dbg_hit_on(false);
continue;
}
#endif
#if 0
// It may be better not to study where the difference in evaluation values ​​is too large.
// → It's okay because it passes the win rate function...
// About 30% of the phases are out of the scope of learning...
if (abs((int16_t)r.first - ps.score) >= Eval::PawnValue * 4)
{
//dbg_hit_on(false);
continue;
}
//dbg_hit_on(true);
#endif
int ply = 0;
// A helper function that adds the gradient to the current phase.
@@ -1315,17 +1288,6 @@ namespace Learner
// rewind the phase
for (auto it = pv.rbegin(); it != pv.rend(); ++it)
pos.undo_move(*it);
#if 0
// When adding the gradient to the root phase
shallow_value =
(rootColor == pos.side_to_move())
? Eval::evaluate(pos)
: -Eval::evaluate(pos);
dj_dw = calc_grad(deep_value, shallow_value, ps);
Eval::add_grad(pos, rootColor, dj_dw, without_kpp);
#endif
}
}
@@ -2058,18 +2020,6 @@ namespace Learner
learn_think.best_nn_directory = std::string(Options["EvalDir"]);
}
#if 0
// A test to give a gradient of 1.0 to the initial stage of Hirate.
pos.set_hirate();
cout << Eval::evaluate(pos) << endl;
//Eval::print_eval_stat(pos);
Eval::add_grad(pos, BLACK, 32.0, false);
Eval::update_weights(1);
pos.state()->sum.p[2][0] = VALUE_NOT_EVALUATED;
cout << Eval::evaluate(pos) << endl;
//Eval::print_eval_stat(pos);
#endif
cout << "init done." << endl;
// Reflect other option settings.