Develop

learn/aoba_solver.prototxt

@@ -0,0 +1,46 @@
+#net: "aoba_zero_256x40b.prototxt"
+#net: "aoba_zero_256x20b.prototxt"
+net: "aoba_zero_256x20b_mb128.prototxt"
+#net: "aoba_zero_256x40b_mb64.prototxt"
+#net: "aoba_zero_64x15b.prototxt"
+#net: "aoba_64x10b_swish_mb32.prototxt"
+
+# test_iter specifies how many forward passes the test should carry out.
+# In the case of MNIST, we have test batch size 100 and 100 test iterations,
+# covering the full 10,000 testing images.
+#test_iter: 100
+# Carry out testing every 500 training iterations.
+test_interval: 500
+# The base learning rate, momentum and the weight decay of the network.
+weight_decay: 0.0002 # 2021-03-11 again
+#weight_decay: 0.00004 # 2020-12-06
+# The learning rate policy ~/caffe/src/caffe/proto/caffe.proto
+#lr_policy: "inv" # base_lr * (1 + gamma * iter) ^ (- power)
+# "step" base_lr * gamma ^ (floor(iter / step))
+# "exp" base_lr * gamma ^ iter
+#gamma: 0.0001
+#power: 0.75
+# Display every 100 iterations
+display: 100
+#display: 50
+# snapshot intermediate results
+snapshot: 2000000
+snapshot_prefix: "snapshots/"
+# solver mode: CPU or GPU
+solver_mode: GPU
+#solver_mode: CPU
+#solver_type: ADAGRAD # default = SGD=0, NESTEROV=1, ADAGRAD=2
+
+base_lr: 0.000002 # training at a learning rate of 0.01 = 1e-2
+
+lr_policy: "step" # learning rate policy: drop the learning rate in "steps"
+ # by a factor of gamma every stepsize iterations
+
+gamma: 0.5 # drop the learning rate by a factor of 10
+ # (i.e., multiply it by a factor of gamma = 0.1)
+
+stepsize: 100000000 # drop the learning rate every 100K iterations
+
+max_iter: 100010000 # train for 700K iterations total
+
+momentum: 0.9

learn/extract/ep_del_bn_scale_factor_version_short_auto.py

@@ -1,6 +1,7 @@
 #http://stackoverflow.com/questions/31324739/finding-gradient-of-a-caffe-conv-filter-with-regards-to-input
 #import os
 #import numpy as np
+#import caffe
 #import sys
 
 #from google.protobuf import text_format
@@ -14,8 +15,40 @@
 #sys.exit()
 
 caffe.set_mode_cpu()
+#net = caffe.Net("aya_i49.prototxt",caffe.TEST); # OK!
+#net = caffe.Net("aya_i49.caffemodel",caffe.TEST); # Err
+#net = caffe.Net("aya_i49.prototxt","aya_i49.caffemodel",caffe.TEST); # OK!
+#net = caffe.Net("../20160114/aya_12_128.prototxt","../20160114/_iter_700000.caffemodel",caffe.TEST); # OK!
+#net = caffe.Net("/home/yss/aya/Policy_F128/aya_i49.prototxt","/home/yss/aya/Policy_F128/i49_510_0619_266101.caffemodel",caffe.TEST);
+#net = caffe.Net("","",caffe.TEST);
+#net = caffe.Net("/home/yss/aya/Value_F128/aya_v_predict.prototxt","/home/yss/aya/Value_F128/aya_v2k_f128.caffemodel",caffe.TEST);
+#net = caffe.Net("/home/yss/test/20160621_i50_v9x9_ft3/9x9_v500_F32_L11_0349_predict.prototxt","/home/yss/test/20160621_i50_v9x9_ft3/_iter_542053.caffemodel",caffe.TEST);
+#net = caffe.Net("/home/yss/aya/Policy_F128/19_F32_L11.prototxt","/home/yss/aya/Policy_F128/19_v_i50_0127_kgs4d_F32L11_435794.caffemodel",caffe.TEST);
+#net = caffe.Net("/home/yss/aya/Policy_F128/19_v_i50_F64L14_bn.prototxt","/home/yss/aya/Policy_F128/19_v_i50_0318_kgs4d_add300_F64L14bn_350000.caffemodel",caffe.TEST);
+#net = caffe.Net("/home/yss/aya/Policy_F128/19_49_F32L12bn_m1.prototxt","/home/yss/aya/Policy_F128/19_49_F32L12bn_m1_s735.caffemodel",caffe.TEST);
+#net = caffe.Net("/home/yss/aya/Policy_F128/19_49_F32L12bn_m1.prototxt","/home/yss/aya/Policy_F128/19_49_F32L12bn_m1_0422.caffemodel",caffe.TEST);
+#net = caffe.Net("/home/yss/aya/Policy_F128/13_v_i50_F64L14.prototxt","/home/yss/aya/Policy_F128/13_v_i50_2k_r16_75_0518_F64L14_wd_b128_ft7_200000.caffemodel",caffe.TEST);
+#net = caffe.Net("/home/yss/test/20180122_i362_pro_flood_F64L29_b64_1_half/yss_F64L29.prototxt","/home/yss/test/20180122_i362_pro_flood_F64L29_b64_1_half/_iter_1880000.caffemodel",caffe.TEST);
+#net = caffe.Net("/home/yss/test/20180225_i361_t_pro_flood_F64L29_b64_ft4/yss_F64L29.prototxt","/home/yss/test/20180225_i361_t_pro_flood_F64L29_b64_ft4/_iter_1300000.caffemodel",caffe.TEST);
+#net = caffe.Net("/home/yss/yssfish/i362_64x29.prototxt","/home/yss/yssfish/i362_64x29_init_iter_0.caffemodel",caffe.TEST);
+#net = caffe.Net("/home/yss/yssfish/i362_64x29.prototxt","/home/yss/yssfish/i362_64x29_iter_1.caffemodel",caffe.TEST);
+#net = caffe.Net("/home/yss/yssfish/i362_64x29.prototxt","/home/yss/yssfish/20180620_i362_64x29_iter_380000.caffemodel",caffe.TEST);
+#net = caffe.Net("/home/yss/prg/yssfish/f256b20.prototxt","/home/yss/prg/yssfish/snapshots/20180224_256x20b_iter_0.caffemodel",caffe.TEST);
+#net = caffe.Net("/home/yss/prg/yssfish/f256b40.prototxt","/home/yss/prg/yssfish/snapshots/20180224_256x40b_iter_0.caffemodel",caffe.TEST);
+#net = caffe.Net("/home/yss/prg/yssfish/yss_zero.prototxt","/home/yss/prg/yssfish/snapshots/20190226_64x15b_iter_0.caffemodel",caffe.TEST);
+#net = caffe.Net("/home/yss/prg/yssfish/aoba_zero.prototxt","/home/yss/prg/yssfish/snapshots/20190226_64x15b_policy_visit_iter_0.caffemodel",caffe.TEST);
+#net = caffe.Net("/home/yss/prg/yssfish/yss_zero.prototxt","/home/yss/prg/yssfish/snapshots/_iter_1.caffemodel",caffe.TEST);
+#net = caffe.Net("/home/yss/prg/yssfish/f64b3.prototxt","/home/yss/prg/yssfish/snapshots/20190301_64x3b_iter_0.caffemodel",caffe.TEST);
+#net = caffe.Net("/home/yss/test/20190306_64L29_policy_160_139_bn_relu_cut_visit_x4_47000_1/aoba_zero.prototxt","/home/yss/test/20190306_64L29_policy_160_139_bn_relu_cut_visit_x4_47000_1/_iter_910000.caffemodel",caffe.TEST);
+#net = caffe.Net("/home/yss/prg/yssfish/aoba_zero.prototxt","/home/yss/prg/yssfish/snapshots/_iter_0.caffemodel",caffe.TEST);
+#net = caffe.Net("/home/yss/prg/yssfish/aoba_zero_64x15b.prototxt","/home/yss/test/20190306_64L29_policy_160_139_bn_relu_cut_visit_x4_47000_1/_iter_910000.caffemodel",caffe.TEST);
+#net = caffe.Net("/home/yss/prg/yssfish/aoba_zero_64x15b.prototxt","/home/yss/test/extract/_iter_148000.caffemodel",caffe.TEST);
+#net = caffe.Net("/home/yss/shogi/yssfish/aoba_zero_256x20b.prototxt","/home/yss/shogi/yssfish/20190417replay_lr001_wd00002/_iter_964000.caffemodel",caffe.TEST);
 #net = caffe.Net("/home/yss/shogi/yssfish/aoba_zero_256x20b.prototxt","/home/yss/shogi/yssfish/20190419replay_lr001_wd00002_100000_1018000/_iter_36000.caffemodel",caffe.TEST);
-net = caffe.Net("/home/yss/shogi/yssfish/aoba_zero_256x20b.prototxt",args[1],caffe.TEST);
+#net = caffe.Net("/home/yss/shogi/yssfish/aoba_zero_256x20b.prototxt",args[1],caffe.TEST);
+#net = caffe.Net("/home/yss/shogi/learn/aoba_zero_256x20b_mb128.prototxt",args[1],caffe.TEST);
+#net = caffe.Net("/home/yss/shogi/learn/aoba_zero_256x40b_mb64.prototxt",args[1],caffe.TEST);
+net = caffe.Net("/home/yss/shogi/learn/aoba_256x20b_swish_predict.prototxt",args[1],caffe.TEST);
 
 
 
@@ -51,8 +84,8 @@
 
 
 def short_str(s):
- r = '%.6g' % s
- #r = '%.3g' % s # LZ style. this is maybe ok.
+ #r = '%.6g' % s
+ r = '%.3g' % s # LZ style. this is maybe ok.
  u = r
  if ( r[0:2]== '0.' ) :
  u = r[1:]
@@ -68,12 +101,48 @@ def short_str(s):
 fc_sum = 0
 cv_sum = 0
 
-bf.write('2\n') # version
+#bf.write('2\n') # version
+bf.write('3\n') # version
 
 n_layer = len( net.params.items() )
 print n_layer
+#print net.params.items()[0][0]
+#print net.params.items()[1]
+#print net.params.items()[2]
 
 
+# multi line comment from """ to """
+"""
+for loop in range(n_layer):
+ name = net.params.items()[loop][0]
+ print loop, name
+ print net.params[name][0].data.shape
+ a0 = net.params[name][0].data.shape[0]
+ #print a0
+ if 'conv' in name:
+ a1 = net.params[name][0].data.shape[1]
+ #if 'fc' in name:
+ if ('fc' in name or 'ip' in name):
+ b0 = net.params[name][1].data.shape[0]
+ print b0
+ if 'bn' in name:
+ #print net.params[name][0].data.shape[0]
+ #print net.params[name][0].data.shape[1]
+ a1 = net.params[name][1].data.shape[0]
+ b0 = net.params[name][2].data.shape[0]
+ print loop , name, a0,a1, ":", b0
+ #print net.params[name][3].data.shape[0]
+ for i in range(a0):
+ d = net.params[name][0].data[i]
+ print i,d
+ for i in range(a1):
+ d = net.params[name][1].data[i]
+ print i,d
+ d = net.params[name][2].data[0]
+ print d
+sys.exit()
+"""
+
 for loop in range(n_layer):
  name = net.params.items()[loop][0]
  #print loop , name
@@ -155,3 +224,52 @@ def short_str(s):
 sys.exit()
 
 
+#for v in net.params.items()
+# print [(v[0].data.shape, v[1].data.shape)]
+
+#print net.params[v][0].data.shape # >> (256, 256, 3, 3)
+#print net.params['conv2_3x3_256'][0].data.shape # >> (256, 256, 3, 3)
+#print net.params['conv11_3x3_256'][0].data.shape # >> (256, 256, 3, 3)
+#print net.params['conv12_3x3_1_0'][0].data.shape # >> (1, 256, 3, 3)
+print [(k, v[0].data.shape, v[1].data.shape) for k, v in net.params.items()]
+
+#print net.layers
+#print net.layers[0].blobs
+#print net.layers[1].blobs
+#print len(net.layers[1].blobs) # >> 0
+#print net.layers[1].blobs[0].data.shape # Err
+
+print len(net.blobs['data'].data[0]) # >> 49
+#print net.blobs['data'].data[0]
+print len(net.params['conv1_5x5_256'][0].data) # >> 256,
+print net.params['conv1_5x5_256'][0].data[0][0][0][0]
+#print net.params['conv1_5x5_256'][0].data # contains the weight parameters, an array of shape (256, 1, 5, 5)
+print len(net.params['conv1_5x5_256'][1].data) # >> 256
+#print net.params['conv1_5x5_256'][1].data # bias, 256float, contains the bias parameters, an array of shape (256,)
+#print net.params['conv1_5x5_256'][2].data # Err
+print len(net.params['conv2_3x3_256'][0].data) # >> 256
+print len(net.params['conv2_3x3_256'][1].data) # >> 256
+
+print 'conv12_3x3_1_0'
+print len(net.params['conv12_3x3_1_0'][0].data) # >> 1
+#print net.params['conv12_3x3_1_0'][0].data
+print len(net.params['conv12_3x3_1_0'][1].data) # >> 1
+#print net.params['conv12_3x3_1_0'][1].data
+#print net.params['flat0'][0].data # Err
+#print net.params['softmax0'][0].data # Err
+
+sys.exit()
+
+bf = open('binary.bin', 'wb')
+sum = 0
+for i in range(256):
+ for j in range(49):
+ for k in range(5):
+ for m in range(5):
+ d = net.params['conv1_5x5_256'][0].data[i][j][k][m]
+ bf.write(struct.pack("f", d))
+ sum += 1
+
+bf.close()
+print sum
+print 'done'

learn/yss.cpp

@@ -974,6 +974,8 @@ int shogi::LoadCSA()
  if ( pz->vv_move_visit.size() != (size_t)tesuu ) {
  DEBUG_PRT("pz->vv_move_visit.size()=%d,tesuu=%d Err\n",pz->vv_move_visit.size(),tesuu);
  }
+ vector <char> vc;
+ pz->vv_raw_policy.push_back(vc);
  back_move();
  char *p = lpLine + 1;
  int count = 0, all_visit = 0, sum_visit = 0;
@@ -998,21 +1000,40 @@ int shogi::LoadCSA()
  if ( s < 0 || s > 10000 ) DEBUG_PRT("Err s=%d,v=%s\n",s,str);
  pz->v_score_x10k.push_back((unsigned short)s);
  has_root_score = true;
+ } else if ( strstr(str,"r=") ) {
+ count--;
+ float score = atof(str+2);
+ int s = (int)(score * 10000);
+ if ( s < 0 || s > 10000 ) DEBUG_PRT("Err s=%d,v=%s\n",s,str);
+ pz->v_rawscore_x10k.push_back((unsigned short)s);
  } else {
  all_visit = atoi(str);
+ if ( all_visit > 0xffff ) all_visit = 0xffff;
  pz->v_playouts_sum.push_back(all_visit);
  if ( has_root_score == false ) pz->v_score_x10k.push_back(NO_ROOT_SCORE);
  }
  } else {
  if ( (count&1)== 0 ) {
  if ( b0==0 && b1==0 ) DEBUG_PRT("");
  int v = atoi(str);
+ if ( v==0 ) DEBUG_PRT("v=0,%s\n",str);
  if ( v > 0xffff ) v = 0xffff;
  sum_visit += v;
  unsigned short m = (((unsigned char)b0) << 8) | ((unsigned char)b1); 
  int move_visit = (m << 16) | v;
- pz->vv_move_visit[tesuu].push_back(move_visit); 
+ pz->vv_move_visit[tesuu].push_back(move_visit);
  b0 = b1 = 0;
+ int len = strlen(str);
+ if ( len > 0 ) {
+ char c = str[len-1];
+ if ( ('a' <= c && c <= 'z') || ('A' <= c && c <= 'Z') ) {
+ if ( c >= 'a' ) c = c - 'a' + 26;
+ else c = c - 'A';
+ if ( c < 0 || c > 51 ) DEBUG_PRT("str=%s\n",str);
+ pz->vv_raw_policy[tesuu].push_back(c);
+ }
+ }
+
  } else {
  if ( getMoveFromCsaStr(&bz, &az, &tk, &nf, str)==0 ) DEBUG_PRT("");
  int c = (tesuu + fGotekara)&1;
@@ -1215,6 +1236,7 @@ P-00AL
  for (i=0;i<(int)pz->vv_move_visit.size();i++) {
  sum += pz->vv_move_visit[i].size();
  }
+ if ( pz->vv_move_visit.size() != pz->vv_raw_policy.size() ) DEBUG_PRT("pz->vv_raw_policy.size()=%d\n",pz->vv_raw_policy.size());
  PRT("handicap=%d,moves=%d,result=%d, mv_sum=%d,%.1f\n",pz->handicap,pz->moves,pz->result,sum, (double)sum/(tesuu+0.00001f));
  if ( pz->result_type == RT_NONE ) DEBUG_PRT("");
 #endif

learn/yss.h

@@ -443,7 +443,8 @@ class shogi {
  int make_www_samples();
  void get_piece_num_diff(bool bGoteTurn, int d[]);
  void sum_pwv(double z, bool bGoteTurn, double sumd[]);
-
+ void same_pos_check();
+ int is_koshikake_gin(ZERO_DB *p);
 
  // fish��Ϣ
  bool is_pseudo_legalYSS(Move m, Color sideToMove);