修改多sentence的bug

.gitignore

@@ -2,3 +2,5 @@
 tmp/
 __pycache__/
 .idea/
+data/data_merger.py
+data/data.py

extract_feature.py

@@ -5,6 +5,9 @@ import args
 from queue import Queue
 from threading import Thread
 import tensorflow as tf
+import os
+
+os.environ['CUDA_VISIBLE_DEVICES'] = '1'
 
 
 class InputExample(object):
@@ -43,7 +46,7 @@ class BertVector:
         self.input_queue = Queue(maxsize=1)
         self.output_queue = Queue(maxsize=1)
         self.predict_thread = Thread(target=self.predict_from_queue, daemon=True)
-        self.predict_thread.start()
+        self.sentence_len = 0
 
     def get_estimator(self):
         from tensorflow.python.estimator.estimator import Estimator
@@ -80,6 +83,8 @@ class BertVector:
             self.output_queue.put(i)
 
     def encode(self, sentence):
+        self.sentence_len = len(sentence)
+        self.predict_thread.start()
         self.input_queue.put(sentence)
         prediction = self.output_queue.get()
         return prediction
@@ -93,7 +98,7 @@ class BertVector:
                           'input_mask': tf.int32,
                           'input_type_ids': tf.int32},
             output_shapes={
-                'unique_ids': (1,),
+                'unique_ids': (self.sentence_len,),
                 'input_ids': (None, self.max_seq_length),
                 'input_mask': (None, self.max_seq_length),
                 'input_type_ids': (None, self.max_seq_length)}))
@@ -327,7 +332,7 @@ class BertVector:
 
 if __name__ == "__main__":
     bert = BertVector()
-    while True:
-        question = input('question: ')
-        vectors = bert.encode([question])
+    # while True:
+    #     question = input('question: ')
+    vectors = bert.encode(['你好', '哈哈'])
     print(str(vectors))