Merge branch 'develop' into 'develop'

Refine dist.merge(), remove some redundant interface

See merge request !62

demo/distillation/train.py

@@ -140,8 +140,6 @@ def compress(args):
     # define teacher program
     teacher_program = fluid.Program()
     t_startup = fluid.Program()
-    teacher_scope = fluid.Scope()
-    with fluid.scope_guard(teacher_scope):
     with fluid.program_guard(teacher_program, t_startup):
         with fluid.unique_name.guard():
             image = fluid.layers.data(
@@ -173,8 +171,7 @@ def compress(args):
         teacher_program,
         student_program,
         data_name_map,
-        place,
-        teacher_scope=teacher_scope)
+        place)
 
     #print("="*50+"teacher_vars"+"="*50)
     #for v in teacher_program.list_vars():

paddleslim/dist/single_distiller.py

@@ -20,8 +20,7 @@ def merge(teacher_program,
           student_program,
           data_name_map,
           place,
-          teacher_scope=fluid.global_scope(),
-          student_scope=fluid.global_scope(),
+          scope=fluid.global_scope(),
           name_prefix='teacher_'):
     """
     Merge teacher program into student program and add a uniform prefix to the
@@ -33,8 +32,7 @@ def merge(teacher_program,
                             and the student var name
         place(fluid.CPUPlace()|fluid.CUDAPlace(N)): This parameter represents
                                                     paddle run on which device.
-        student_scope(Scope): The input student scope 
-        teacher_scope(Scope): The input teacher scope
+        scope(Scope): The input scope
         name_prefix(str): Name prefix added for all vars of the teacher program.
     Return(Program): Merged program.
     """
@@ -50,9 +48,9 @@ def merge(teacher_program,
                 new_name = name_prefix + teacher_var.name
             if not skip_rename:
                 # scope var rename
-                scope_var = teacher_scope.var(teacher_var.name).get_tensor()
-                renamed_scope_var = teacher_scope.var(new_name).get_tensor()
-                renamed_scope_var.set(np.array(scope_var), place)
+                old_var = scope.var(teacher_var.name).get_tensor()
+                renamed_var = scope.var(new_name).get_tensor()
+                renamed_var.set(np.array(old_var), place)
     
                 # program var rename
                 renamed_var = teacher_program.global_block()._rename_var(
@@ -60,11 +58,6 @@ def merge(teacher_program,
 
     for teacher_var in teacher_program.list_vars():
         if teacher_var.name != 'fetch' and teacher_var.name != 'feed':
-            # student scope add var
-            student_scope_var = student_scope.var(teacher_var.name).get_tensor()
-            teacher_scope_var = teacher_scope.var(teacher_var.name).get_tensor()
-            student_scope_var.set(np.array(teacher_scope_var), place)
-
             # student program add var
             new_var = student_program.global_block()._clone_variable(
                 teacher_var, force_persistable=False)