Merge pull request #28 from wangxiao1021/shona

兼容python3

paddlepalm/backbone/utils/transformer.py

@@ -24,6 +24,7 @@ import paddle.fluid as fluid
 import paddle.fluid.layers as layers
 
 from paddle.fluid.layer_helper import LayerHelper as LayerHelper
+from functools import reduce # py3
 def layer_norm(x, begin_norm_axis=1, epsilon=1e-6, param_attr=None, bias_attr=None):
     helper = LayerHelper('layer_norm', **locals())
     mean = layers.reduce_mean(x, dim=begin_norm_axis, keep_dim=True)

paddlepalm/task_instance.py

@@ -113,9 +113,11 @@ class TaskInstance(object):
         fluid.io.save_inference_model(dirpath, self._pred_input_varname_list, self._pred_fetch_var_list, self._exe, prog)
 
         conf = {}
-        for k, strv in self._save_protocol.items():
-            exec('v={}'.format(strv))
-            conf[k] = v
+        for k, strv in self._save_protocol.items(): 
+            d = None
+            v = locals()
+            exec('d={}'.format(strv), globals(), v)
+            conf[k] = v['d']
         with open(os.path.join(dirpath, '__conf__'), 'w') as writer:
             writer.write(json.dumps(conf, indent=1))
         print(self._name + ': inference model saved at ' + dirpath)
@@ -123,7 +125,7 @@ class TaskInstance(object):
     def load(self, infer_model_path=None):
         if infer_model_path is None:
             infer_model_path = self._save_infermodel_path
-        for k,v in json.load(open(os.path.join(infer_model_path, '__conf__'))).items():
+        for k,v in json.load(open(os.path.join(infer_model_path, '__conf__'))).items(): 
             strv = self._save_protocol[k]
             exec('{}=v'.format(strv))
         pred_prog, self._pred_input_varname_list, self._pred_fetch_var_list = \