fix paddle1.6 unpad and log handler (#243)

* fix unpad

README.md

@@ -43,7 +43,7 @@ PaddleHub是基于PaddlePaddle生态下的预训练模型管理和迁移学习
 
 除上述依赖外，PaddleHub的预训练模型和预置数据集需要连接服务端进行下载，请确保机器可以正常访问网络。若本地已存在相关的数据集和预训练模型，则可以离线运行PaddleHub。
 
-**NOTE:** 
+**NOTE:**
 1. 若是出现离线运行PaddleHub错误，请更新PaddleHub 1.1.1版本之上。
 pip安装方式如下：
 

paddlehub/finetune/task/basic_task.py

@@ -261,6 +261,10 @@ class BasicTask(object):
                 var = self.env.main_program.global_block().vars[var_name]
                 var.persistable = True
 
+        # to avoid to print logger two times in result of the logger usage of paddle-fluid
+        for handler in logging.root.handlers[:]:
+            logging.root.removeHandler(handler)
+
         if self.is_train_phase:
             with fluid.program_guard(self.env.main_program,
                                      self._base_startup_program):
@@ -287,10 +291,6 @@ class BasicTask(object):
 
         self.exe.run(self.env.startup_program)
 
-        # to avoid to print logger two times in result of the logger usage of paddle-fluid
-        for handler in logging.root.handlers[:]:
-            logging.root.removeHandler(handler)
-
         self._build_env_end_event()
 
     @property

paddlehub/finetune/task/sequence_task.py

@@ -19,9 +19,12 @@ from __future__ import print_function
 
 import time
 from collections import OrderedDict
+
 import numpy as np
+import paddle
 import paddle.fluid as fluid
 from paddlehub.finetune.evaluate import chunk_eval, calculate_f1
+from paddlehub.common.utils import version_compare
 from .basic_task import BasicTask
 
 
@@ -61,8 +64,12 @@ class SequenceLabelTask(BasicTask):
             return True
 
     def _build_net(self):
-        self.seq_len = fluid.layers.data(
-            name="seq_len", shape=[1], dtype='int64')
+        if version_compare(paddle.__version__, "1.6"):
+            self.seq_len = fluid.layers.data(
+                name="seq_len", shape=[-1], dtype='int64')
+        else:
+            self.seq_len = fluid.layers.data(
+                name="seq_len", shape=[1], dtype='int64')
         seq_len = fluid.layers.assign(self.seq_len)
 
         if self.add_crf: