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Merge branch 'master' into trainer

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This commit is contained in:
noobpwnftw
2020-09-09 08:48:59 +08:00
parent d25657c439 0405f35403
commit 675d336ebb
43 changed files with 297 additions and 692 deletions
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src/learn/learn.h
+2 -68
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@@ -59,12 +59,12 @@
// The objective function is the sum of squares of the difference in winning percentage
// See learner.cpp for more information.
//#define LOSS_FUNCTION_IS_WINNING_PERCENTAGE
// #define LOSS_FUNCTION_IS_WINNING_PERCENTAGE
// Objective function is cross entropy
// See learner.cpp for more information.
// So-called ordinary "rag cloth squeezer"
//#define LOSS_FUNCTION_IS_CROSS_ENTOROPY
// #define LOSS_FUNCTION_IS_CROSS_ENTOROPY
// A version in which the objective function is cross entropy, but the win rate function is not passed
// #define LOSS_FUNCTION_IS_CROSS_ENTOROPY_FOR_VALUE
@@ -83,19 +83,6 @@
// rmse calculation is done in one thread, so it takes some time, so reducing the output is effective.
#define LEARN_RMSE_OUTPUT_INTERVAL 1
// ----------------------
// learning from zero vector
// ----------------------
// Start learning the evaluation function parameters from the zero vector.
// Initialize to zero, generate a game, learn from zero vector,
// Game generation → If you repeat learning, you will get parameters that do not depend on the professional game. (maybe)
// (very time consuming)
//#define RESET_TO_ZERO_VECTOR
// ----------------------
// Floating point for learning
// ----------------------
@@ -114,59 +101,6 @@ typedef float LearnFloatType;
//#include "half_float.h"
//typedef HalfFloat::float16 LearnFloatType;
// ----------------------
// save memory
// ----------------------
// Use a triangular array for the Weight array (of which is KPP) to save memory.
// If this is used, the weight array for learning will be about 3 times as large as the evaluation function file.
#define USE_TRIANGLE_WEIGHT_ARRAY
// ----------------------
// dimension down
// ----------------------
// Dimension reduction for mirrors (left/right symmetry) and inverse (forward/backward symmetry).
// All on by default.
// Dimension reduction using mirror and inverse for KK. (Unclear effect)
// USE_KK_MIRROR_WRITE must be on when USE_KK_INVERSE_WRITE is on.
#define USE_KK_MIRROR_WRITE
#define USE_KK_INVERSE_WRITE
// Dimension reduction using Mirror and Inverse for KKP. (Inverse is not so effective)
// When USE_KKP_INVERSE_WRITE is turned on, USE_KKP_MIRROR_WRITE must also be turned on.
#define USE_KKP_MIRROR_WRITE
#define USE_KKP_INVERSE_WRITE
// Perform dimension reduction using a mirror for KPP. (Turning this off requires double the teacher position)
// KPP has no inverse. (Because there is only K on the front side)
#define USE_KPP_MIRROR_WRITE
// Perform a dimension reduction using a mirror for KPPP. (Turning this off requires double the teacher position)
// KPPP has no inverse. (Because there is only K on the front side)
#define USE_KPPP_MIRROR_WRITE
// Reduce the dimension by KPP for learning the KKPP component.
// Learning is very slow.
// Do not use as it is not debugged.
//#define USE_KKPP_LOWER_DIM
// ======================
// Settings for creating teacher phases
// ======================
// ----------------------
// write out the draw
// ----------------------
// When you reach a draw, write it out as a teacher position
// It's subtle whether it's better to do this.
// #define LEARN_GENSFEN_USE_DRAW_RESULT
// ======================
// configure
// ======================