modify AlphaGo patch

.gitignore

@@ -1,4 +1,4 @@
 .idea
 leela-zero
-.pyc
+*.pyc
 parameters

AlphaGo/Network.py

@@ -4,6 +4,7 @@ import time
 import os
 import multi_gpu
 import tensorflow.contrib.layers as layers
+import sys
 
 def residual_block(input, is_training):
 	normalizer_params = {'is_training': is_training,
@@ -102,6 +103,13 @@ def train():
 
 def forward(board):
 	result_path = "./results/"
+		itflag = False
+		res = None
+		if board is None:
+			board = np.load("/home/yama/tongzheng/AG/self_play_204/d7d7d552b7be4b51883de99d74a8e51b.npz")
+			board = board["boards"][100].reshape(-1, 19, 19, 17)
+			result_path = "../parameters/checkpoints"
+			itflag = True
 		with multi_gpu.create_session() as sess:
 			sess.run(tf.global_variables_initializer())
 			ckpt_file = tf.train.latest_checkpoint(result_path)
@@ -110,7 +118,15 @@ def forward(board):
 				saver.restore(sess, ckpt_file)
 			else:
 				raise ValueError("No model loaded")
-		return sess.run([p,v], feed_dict={x:board})
+			res = sess.run([tf.nn.softmax(p),v], feed_dict={x:board, is_training:itflag})
+			#res = sess.run([tf.nn.softmax(p),v], feed_dict={x:fix_board["boards"][300].reshape(-1, 19, 19, 17), is_training:False})
+			#res = sess.run([tf.nn.softmax(p),v], feed_dict={x:fix_board["boards"][50].reshape(-1, 19, 19, 17), is_training:True})
+			print(res)
+			#print(res[0].tolist()[0])
+			#print(np.argmax(res[0]))
+		return res
 
-if __name__=="__main__":
+if __name__=='__main__':
-	train()
+	#train()
+    if sys.argv[1] == "test":
+		forward(None)

README.md

@@ -28,3 +28,34 @@ MCTS
 ## agent (optional)
 
 DQNAgent etc.
+
+## Pontential Bugs:
+
+0. Wrong calculation of eval value
+
+UCTNode.cpp
+```
+106     if (to_move == FastBoard::WHITE) {
+107         net_eval = 1.0f - net_eval;
+108     }
+
+309         if (tomove == FastBoard::WHITE) {
+310             score = 1.0f - score;
+311         }
+```
+
+1. create children only on leaf node
+
+UCTSearch.cpp
+```
+ 60     if (!node->has_children() && m_nodes < MAX_TREE_SIZE) {
+ 61         float eval;
+ 62         auto success = node->create_children(m_nodes, currstate, eval);
+ 63         if (success) {
+ 64             result = SearchResult(eval);
+ 65         }
+ 66     }
+```
+
+
+