Merge pull request #730 from luotao1/demo

fix protobuf size limit of seq2seq demo

demo/seqToseq/dataprovider.py

@@ -19,27 +19,44 @@ START = "<s>"
 END = "<e>"
 
 
-def hook(settings, src_dict, trg_dict, file_list, **kwargs):
+def hook(settings, src_dict_path, trg_dict_path, is_generating, file_list,
+         **kwargs):
     # job_mode = 1: training mode
     # job_mode = 0: generating mode
-    settings.job_mode = trg_dict is not None
-    settings.src_dict = src_dict
+    settings.job_mode = not is_generating
+    settings.src_dict = dict()
+    with open(src_dict_path, "r") as fin:
+        settings.src_dict = {
+            line.strip(): line_count
+            for line_count, line in enumerate(fin)
+        }
+    settings.trg_dict = dict()
+    with open(trg_dict_path, "r") as fin:
+        settings.trg_dict = {
+            line.strip(): line_count
+            for line_count, line in enumerate(fin)
+        }
+
     settings.logger.info("src dict len : %d" % (len(settings.src_dict)))
     settings.sample_count = 0
 
     if settings.job_mode:
-        settings.trg_dict = trg_dict
-        settings.slots = [
+        settings.slots = {
+            'source_language_word':
             integer_value_sequence(len(settings.src_dict)),
+            'target_language_word':
             integer_value_sequence(len(settings.trg_dict)),
+            'target_language_next_word':
             integer_value_sequence(len(settings.trg_dict))
-        ]
+        }
         settings.logger.info("trg dict len : %d" % (len(settings.trg_dict)))
     else:
-        settings.slots = [
+        settings.slots = {
+            'source_language_word':
             integer_value_sequence(len(settings.src_dict)),
+            'sent_id':
             integer_value_sequence(len(open(file_list[0], "r").readlines()))
-        ]
+        }
 
 
 def _get_ids(s, dictionary):
@@ -69,6 +86,10 @@ def process(settings, file_name):
                     continue
                 trg_ids_next = trg_ids + [settings.trg_dict[END]]
                 trg_ids = [settings.trg_dict[START]] + trg_ids
-                yield src_ids, trg_ids, trg_ids_next
+                yield {
+                    'source_language_word': src_ids,
+                    'target_language_word': trg_ids,
+                    'target_language_next_word': trg_ids_next
+                }
             else:
-                yield src_ids, [line_count]
+                yield {'source_language_word': src_ids, 'sent_id': [line_count]}

demo/seqToseq/seqToseq_net.py

@@ -37,17 +37,10 @@ def seq_to_seq_data(data_dir,
     """
     src_lang_dict = os.path.join(data_dir, 'src.dict')
     trg_lang_dict = os.path.join(data_dir, 'trg.dict')
-    src_dict = dict()
-    for line_count, line in enumerate(open(src_lang_dict, "r")):
-        src_dict[line.strip()] = line_count
-    trg_dict = dict()
-    for line_count, line in enumerate(open(trg_lang_dict, "r")):
-        trg_dict[line.strip()] = line_count
 
     if is_generating:
         train_list = None
         test_list = os.path.join(data_dir, gen_list)
-        trg_dict = None
     else:
         train_list = os.path.join(data_dir, train_list)
         test_list = os.path.join(data_dir, test_list)
@@ -57,8 +50,11 @@ def seq_to_seq_data(data_dir,
         test_list,
         module="dataprovider",
         obj="process",
-        args={"src_dict": src_dict,
-              "trg_dict": trg_dict})
+        args={
+            "src_dict_path": src_lang_dict,
+            "trg_dict_path": trg_lang_dict,
+            "is_generating": is_generating
+        })
 
     return {
         "src_dict_path": src_lang_dict,

doc_cn/faq/index.rst

@@ -214,3 +214,41 @@ PaddlePaddle的参数使用名字 :code:`name` 作为参数的ID，相同名字
         cmake .. -DPYTHON_EXECUTABLE=<exc_path> -DPYTHON_LIBRARY=<lib_path>  -DPYTHON_INCLUDE_DIR=<inc_path>
 
 用户需要指定本机上Python的路径：``<exc_path>``, ``<lib_path>``, ``<inc_path>``
+
+10. A protocol message was rejected because it was too big
+----------------------------------------------------------
+
+如果在训练NLP相关模型时，出现以下错误：
+
+..  code-block:: bash
+
+    [libprotobuf ERROR google/protobuf/io/coded_stream.cc:171] A protocol message was rejected because it was too big (more than 67108864 bytes).  To increase the limit (or to disable these warnings), see CodedInputStream::SetTotalBytesLimit() in google/protobuf/io/coded_stream.h.
+    F1205 14:59:50.295174 14703 TrainerConfigHelper.cpp:59] Check failed: m->conf.ParseFromString(configProtoStr) 
+
+可能的原因是：传给dataprovider的某一个args过大，一般是由于直接传递大字典导致的。错误的define_py_data_sources2类似：
+
+..  code-block:: python
+
+     src_dict = dict()
+     for line_count, line in enumerate(open(src_dict_path, "r")):
+        src_dict[line.strip()] = line_count
+
+     define_py_data_sources2(
+        train_list,
+        test_list,
+        module="dataprovider",
+        obj="process",
+        args={"src_dict": src_dict})
+
+解决方案是：将字典的地址作为args传给dataprovider，然后在dataprovider里面根据该地址加载字典。即define_py_data_sources2应改为：
+
+..  code-block:: python
+
+     define_py_data_sources2(
+        train_list,
+        test_list,
+        module="dataprovider",
+        obj="process",
+        args={"src_dict_path": src_dict_path})
+
+完整源码可参考 `seqToseq <https://github.com/PaddlePaddle/Paddle/tree/develop/demo/seqToseq>`_ 示例。