Merge branch 'develop' into cmake_protobuf

cmake/external/python.cmake

@@ -16,11 +16,13 @@ INCLUDE(ExternalProject)
 INCLUDE(python_module)
 
 FIND_PACKAGE(PythonInterp 2.7)
-FIND_PACKAGE(PythonLibs 2.7)
+IF(WITH_PYTHON)
+    FIND_PACKAGE(PythonLibs 2.7)
+ENDIF(WITH_PYTHON)
 
 SET(py_env "")
 SET(USE_VIRTUALENV_FOR_TEST 1)
-IF(PYTHONLIBS_FOUND AND PYTHONINTERP_FOUND)
+IF(PYTHONINTERP_FOUND)
     find_python_module(pip REQUIRED)
     find_python_module(numpy REQUIRED)
     find_python_module(wheel REQUIRED)
@@ -30,7 +32,7 @@ IF(PYTHONLIBS_FOUND AND PYTHONINTERP_FOUND)
         MESSAGE(FATAL_ERROR "Found Python Protobuf ${PY_GOOGLE.PROTOBUF_VERSION} < 3.0.0, "
         "please use pip to upgrade protobuf. pip install -U protobuf")
     ENDIF()
-ELSE(PYTHONLIBS_FOUND AND PYTHONINTERP_FOUND)
+ELSE(PYTHONINTERP_FOUND)
     MESSAGE(FATAL_ERROR "Please install python 2.7 before building PaddlePaddle.")
     ##################################### PYTHON ########################################
     SET(PYTHON_SOURCES_DIR ${THIRD_PARTY_PATH}/python)
@@ -217,7 +219,7 @@ ELSE(PYTHONLIBS_FOUND AND PYTHONINTERP_FOUND)
 
     LIST(APPEND external_project_dependencies python setuptools six cython wheel python-protobuf numpy)
 
-ENDIF(PYTHONLIBS_FOUND AND PYTHONINTERP_FOUND)
+ENDIF(PYTHONINTERP_FOUND)
 
 IF(WITH_PYTHON)
     INCLUDE_DIRECTORIES(${PYTHON_INCLUDE_DIR})

python/paddle/v2/config_base.py

@@ -16,6 +16,7 @@ import collections
 import re
 from paddle.trainer_config_helpers.default_decorators import wrap_name_default
 import paddle.trainer_config_helpers as conf_helps
+from topology import Topology
 
 
 class LayerType(type):
@@ -161,6 +162,10 @@ class Layer(object):
         """
         return self.__context__[self.context_name()].size
 
+    def attr(self):
+        topo = Topology(self)
+        return topo.get_layer_proto(self.name)
+
 
 def __convert_to_v2__(method_name,
                       parent_names,

python/paddle/v2/topology.py

@@ -130,6 +130,12 @@ class Topology(object):
         return [(nm, data_layers[nm].type)
                 for nm in self.proto().input_layer_names]
 
+    def get_layer_proto(self, name):
+        for layer in self.__model_config__.layers:
+            if layer.name == name:
+                return layer
+        return None
+
 
 def __check_layer_type__(layer):
     if not isinstance(layer, v2_layer.LayerV2):