fix type error bug when deserialize parameter attribute

paddle_hub/paddle_helper.py

@@ -17,6 +17,7 @@ from __future__ import division
 from __future__ import print_function
 from paddle_hub import module_desc_pb2
 from paddle_hub.utils import from_pyobj_to_flexible_data, from_flexible_data_to_pyobj
+from paddle_hub.logger import logger
 import paddle
 import paddle.fluid as fluid
 
@@ -81,35 +82,37 @@ def from_flexible_data_to_param(flexible_data):
         flexible_data.map.data['optimize_attr'])
     if flexible_data.map.data['regularizer'].type != module_desc_pb2.NONE:
         regularizer_type = flexible_data.map.data['regularizer'].name
-        regularization_coeff = flexible_data.map.data[
-            'regularizer'].object.data['_regularization_coeff '].f
+        regularization_coeff = from_flexible_data_to_pyobj(
+            flexible_data.map.data['regularizer'].object.
+            data['_regularization_coeff'])
         param['regularizer'] = eval(
             "fluid.regularizer.%s(regularization_coeff = %f)" %
             (regularizer_type, regularization_coeff))
 
-    if flexible_data.map.data['regularizer'].type != module_desc_pb2.NONE:
+    if flexible_data.map.data['gradient_clip_attr'].type != module_desc_pb2.NONE:
         clip_type = flexible_data.map.data['gradient_clip_attr'].name
         if clip_type == "ErrorClipByValue" or clip_type == "GradientClipByValue":
-            max = flexible_data.map.data[
-                'regularizer'].name, flexible_data.map.data[
-                    'gradient_clip_attr'].object.data['max'].f
-            min = flexible_data.map.data[
-                'regularizer'].name, flexible_data.map.data[
-                    'gradient_clip_attr'].object.data['min'].f
+            max = from_flexible_data_to_pyobj(
+                flexible_data.map.data['gradient_clip_attr'].object.data['max'])
+            min = from_flexible_data_to_pyobj(
+                flexible_data.map.data['gradient_clip_attr'].object.data['min'])
             param['gradient_clip_attr'] = eval(
                 "fluid.clip.%s(max = %f, min = %f)" % (clip_type, max, min))
         if clip_type == "GradientClipByNorm":
-            clip_norm = flexible_data.map.data[
-                'gradient_clip_attr'].object.data['clip_norm'].f
+            clip_norm = from_flexible_data_to_pyobj(
+                flexible_data.map.data['gradient_clip_attr'].object.
+                data['clip_norm'])
             param['gradient_clip_attr'] = eval(
                 "fluid.clip.%s(clip_norm = %f)" % (clip_type, clip_norm))
         if clip_type == "GradientClipByGlobalNorm":
-            clip_norm = flexible_data.map.data[
-                'gradient_clip_attr'].object.data['clip_norm'].f
-            group_name = flexible_data.map.data[
-                'gradient_clip_attr'].object.data['group_name'].f
+            clip_norm = from_flexible_data_to_pyobj(
+                flexible_data.map.data['gradient_clip_attr'].object.
+                data['clip_norm'])
+            group_name = from_flexible_data_to_pyobj(
+                flexible_data.map.data['gradient_clip_attr'].object.
+                data['group_name'])
             param['gradient_clip_attr'] = eval(
-                "fluid.clip.%s(clip_norm = %f, group_name = %f)" %
+                "fluid.clip.%s(clip_norm = %f, group_name = \"%s\")" %
                 (clip_type, clip_norm, group_name))
 
     return param