From d2e6c517ea57d3433f5dfbe4ed080dc2b167086f Mon Sep 17 00:00:00 2001
From: sproblvem <sproblvem@gmail.com>
Date: Mon, 6 Nov 2017 20:35:53 +0800
Subject: [PATCH 1/3] Update README.md

add potential bugs of leela.
---
 README.md | 24 ++++++++++++++++++++++++
 1 file changed, 24 insertions(+)

diff --git a/README.md b/README.md
index 4d69fec..78ce717 100644
--- a/README.md
+++ b/README.md
@@ -28,3 +28,27 @@ 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     }
+
+
+

From 2bb02294df6b76ea902090e0726c2c1dfa734213 Mon Sep 17 00:00:00 2001
From: sproblvem <sproblvem@gmail.com>
Date: Mon, 6 Nov 2017 20:39:09 +0800
Subject: [PATCH 2/3] Update README.md

format modify
---
 README.md | 9 ++++++++-
 1 file changed, 8 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 78ce717..3bf198f 100644
--- a/README.md
+++ b/README.md
@@ -29,9 +29,12 @@ MCTS
 
 DQNAgent etc.
 
-Pontential Bugs:
+## Pontential Bugs:
+
 0. Wrong calculation of eval value
+
 UCTNode.cpp
+```
 106     if (to_move == FastBoard::WHITE) {
 107         net_eval = 1.0f - net_eval;
 108     }
@@ -39,9 +42,12 @@ UCTNode.cpp
 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);
@@ -49,6 +55,7 @@ UCTSearch.cpp
  64             result = SearchResult(eval);
  65         }
  66     }
+```
 
 
 

From 2fc87f70202fac449c21a7d8ed626be8d0192a68 Mon Sep 17 00:00:00 2001
From: Dong Yan <sproblvem@gmail.com>
Date: Mon, 6 Nov 2017 23:13:11 +0800
Subject: [PATCH 3/3] add test interface for Network

---
 .gitignore         |  2 +-
 AlphaGo/Network.py | 38 +++++++++++++++++++++++++++-----------
 2 files changed, 28 insertions(+), 12 deletions(-)

diff --git a/.gitignore b/.gitignore
index 28665b5..8caffae 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,4 +1,4 @@
 .idea
 leela-zero
-.pyc
+*.pyc
 parameters
diff --git a/AlphaGo/Network.py b/AlphaGo/Network.py
index ef77e21..72852d6 100644
--- a/AlphaGo/Network.py
+++ b/AlphaGo/Network.py
@@ -3,6 +3,7 @@ import numpy as np
 import time
 import multi_gpu
 import tensorflow.contrib.layers as layers
+import sys
 
 def residual_block(input, is_training):
 	normalizer_params = {'is_training': is_training,
@@ -96,15 +97,30 @@ def train():
 
 def forward(board):
 	result_path = "./results/"
-	with multi_gpu.create_session() as sess:
-		sess.run(tf.global_variables_initializer())
-		ckpt_file = tf.train.latest_checkpoint(result_path)
-		if ckpt_file is not None:
-			print('Restoring model from {}...'.format(ckpt_file))
-			saver.restore(sess, ckpt_file)
-		else:
-			raise ValueError("No model loaded")
-		return sess.run([p,v], feed_dict={x:board})
+        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)
+                if ckpt_file is not None:
+                	print('Restoring model from {}...'.format(ckpt_file))
+                	saver.restore(sess, ckpt_file)
+                else:
+                	raise ValueError("No model loaded")
+                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':
-	train()
+if __name__=='__main__':
+	#train()
+        if sys.argv[1] == "test":
+            forward(None)