save_parameter_to_tar to fd

demo/word2vec/api_train_v2.py

+import gzip
 import math
 
 import paddle.v2 as paddle
@@ -69,8 +70,8 @@ def main():
     def event_handler(event):
         if isinstance(event, paddle.event.EndIteration):
             if event.batch_id % 100 == 0:
-                trainer.save_parameter_to_tar("output",
-                                              "batch-" + str(event.batch_id))
+                with gzip.open("batch-" + str(event.batch_id), 'w') as f:
+                    trainer.save_parameter_to_tar(f)
                 result = trainer.test(
                     paddle.batch(
                         paddle.dataset.imikolov.test(word_dict, N), 32))

python/paddle/v2/trainer.py

@@ -98,16 +98,11 @@ class SGD(object):
             self.__gradient_machine__.prefetch(in_args)
             self.__parameter_updater__.getParametersRemote()
 
-    def save_parameter_to_tar(self, dir_name, file_name):
-        if not os.path.exists(dir_name):
-            os.makedirs(dir_name)
-        param_file_name = dir_name + "/" + file_name + '.tar.gz'
-        assert not os.path.exists(param_file_name)
+    def save_parameter_to_tar(self, f):
         self.__parameter_updater__.catchUpWith()
         self.__parameter_updater__.apply()
         self.__parameter_updater__.getParametersRemote(True, True)
-        with gzip.open(param_file_name, 'w') as f:
-            self.__parameters__.to_tar(f)
+        self.__parameters__.to_tar(f)
         self.__parameter_updater__.restore()
 
     def train(self, reader, num_passes=1, event_handler=None, feeding=None):