add details. test=develop

paddle/fluid/framework/details/CMakeLists.txt

@@ -51,9 +51,9 @@ cc_library(gather_op_handle SRCS gather_op_handle.cc DEPS op_handle_base scope d
 cc_library(fuse_vars_op_handle SRCS fuse_vars_op_handle.cc DEPS op_handle_base scope)
 
 if(WITH_GPU)
-cc_library(memory_optimize_helper SRCS memory_optimize_helper.cc DEPS graph graph_helper cpu_info)
+cc_library(memory_optimize_helper SRCS memory_optimize_helper.cc DEPS graph graph_helper gpu_info)
 else()
-nv_library(memory_optimize_helper SRCS memory_optimize_helper.cc DEPS graph graph_helper gpu_info)
+nv_library(memory_optimize_helper SRCS memory_optimize_helper.cc DEPS graph graph_helper cpu_info)
 endif()
 
 cc_library(memory_optimize_pass SRCS memory_optimize_pass.cc DEPS memory_optimize_helper pass)

paddle/fluid/framework/details/inplace_op_pass.cc

@@ -49,7 +49,7 @@ DEFINE_bool(
     "If this option turns on, only these op in whitelist can be inplaced."
     "If it turns off, all of the running op can be candidate of inplaced op."
     "Such as scale, elementwise_add"
-    "By default, it's turned on");
+    "By default, it's turned off");
 
 DECLARE_string(memory_optimize_debug);
 

python/paddle/fluid/compiler.py

@@ -177,10 +177,10 @@ class CompiledProgram(object):
 
         # FIXME(dzhwinter): enable_inplace should be after memory_optimize
         # if turn on python memory optimize, turn off the inplace_pass.
-        if build_strategy.memory_optimize is None:
-            build_strategy.memory_optimize = False if main._is_mem_optimized else True
-        if build_strategy.enable_inplace is None:
-            build_strategy.enable_inplace = False if main._is_mem_optimized else True
+        if self._build_strategy.memory_optimize is None:
+            self._build_strategy.memory_optimize = False if main._is_mem_optimized else True
+        if self._build_strategy.enable_inplace is None:
+            self._build_strategy.enable_inplace = False if main._is_mem_optimized else True
 
         if self._build_strategy.num_trainers > 1 and trainers_endpoints:
             assert self._build_strategy.num_trainers == len(