use default parameter learning rate
@@ -80,8 +80,9 @@ def from_flexible_data_to_param(flexible_data):
flexible_data.map.data['trainable'])
param['do_model_average'] = from_flexible_data_to_pyobj(
flexible_data.map.data['do_model_average'])
- param['optimize_attr'] = from_flexible_data_to_pyobj(
- flexible_data.map.data['optimize_attr'])
+ # do not recover learning rate
+ #param['optimize_attr'] = from_flexible_data_to_pyobj(
+ # 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 = from_flexible_data_to_pyobj(
