optimize python checkpint dir config

python/paddle/fluid/transpiler/distribute_transpiler.py

@@ -219,7 +219,8 @@ class DistributeTranspiler:
         # is_chief (no.0 triner) for checkpoint
         # the no.0 trainer will save all variables and its own reader offset to checkpoint
         # other trianers will save its own reader offset to checkpoint
-        self.is_chief = trainer_id == 0
+        self._is_chief = trainer_id == 0
+        self.checkpoint_dir = checkpoint_dir
 
         # process lookup_table_op
         # 1. check all lookup_table_op is distributed
@@ -327,7 +328,7 @@ class DistributeTranspiler:
                 "sync_mode": self.sync_mode
             })
 
-        if checkpoint_dir and self.is_chief:
+        if self.checkpoint_dir and self._is_chief:
             program.global_block().create_var(
                 name=SERIAL_VAR_NAME,
                 persistable=True,
@@ -342,7 +343,7 @@ class DistributeTranspiler:
                 type="checkpoint_save",
                 inputs={"X": save_vars},
                 attrs={"overwrite": True,
-                       "dir": checkpoint_dir})
+                       "dir": self.checkpoint_dir})
 
         # step4: Concat the parameters splits together after recv.
         for varname, splited_var in param_var_mapping.iteritems():
@@ -524,15 +525,15 @@ class DistributeTranspiler:
         pserver_program.sync_with_cpp()
         return pserver_program
 
-    def get_train_startup_program(self, checkpoint_load_dir=None):
+    def get_train_startup_program(self):
         """
         Get train startup program.
-        If checkpoint_load_dir is None, rerurn default startup program.
-        IF checkpoint_load_dir is Exist, add checkpoint_load op and load Var.
+        If self.checkpoint_dir is None, rerurn default startup program.
+        IF self.checkpoint_dir is Exist, add checkpoint_load op and load Var.
         """
         startup_prog = default_startup_program()
 
-        if not checkpoint_load_dir:
+        if not self.checkpoint_dir:
             return startup_prog
 
         load_vars = []
@@ -540,20 +541,17 @@ class DistributeTranspiler:
             if self._is_persistable(var):
                 load_vars.append(var.name)
 
-        serial_number = self._get_lastest_checkpoint_dir(checkpoint_load_dir)
+        serial_number = self._get_lastest_checkpoint_dir(self.checkpoint_dir)
 
         startup_prog.global_block().append_op(
             type="checkpoint_load",
             inputs={"X": load_vars},
             outputs={"Argv": []},
-            attrs={"dir": checkpoint_load_dir,
+            attrs={"dir": self.checkpoint_dir,
                    "Serial": serial_number})
         return startup_prog
 
-    def get_startup_program(self,
-                            endpoint,
-                            pserver_program,
-                            checkpoint_load_dir=None):
+    def get_startup_program(self, endpoint, pserver_program):
         """
         Get startup program for current parameter server.
         Modify operator input variables if there are variables that
@@ -609,16 +607,16 @@ class DistributeTranspiler:
                 for var in new_outputs.values():
                     load_vars.append(var.name)
         # add checkpoint op
-        if not checkpoint_load_dir:
+        if not self.checkpoint_dir:
             return s_prog
 
-        serial_number = self._get_lastest_checkpoint_dir(checkpoint_load_dir)
+        serial_number = self._get_lastest_checkpoint_dir(self.checkpoint_dir)
 
         s_prog.global_block().append_op(
             type="checkpoint_load",
             inputs={"X": load_vars},
             outputs={"Argv": []},
-            attrs={"dir": checkpoint_load_dir,
+            attrs={"dir": self.checkpoint_dir,
                    "Serial": serial_number})
 
         return s_prog