1. update test_split_var: replace split with slice

python/paddle/fluid/tests/unittests/test_split_var.py → python/paddle/fluid/tests/unittests/test_slice_var.py

@@ -14,14 +14,14 @@
 
 import math
 import unittest
-from paddle.fluid.transpiler.distribute_transpiler import split_variable
+from paddle.fluid.transpiler.distribute_transpiler import slice_variable
 import paddle.fluid as fluid
 import paddle.fluid.core as core
 import random
 
 
-class TestSplitVar(unittest.TestCase):
-    def check_split_output(self, shapes, expected_sizes, min_size):
+class TestSliceVar(unittest.TestCase):
+    def check_slice_output(self, shapes, expected_sizes, min_size):
         var_list = []
         program = fluid.Program()
         for shape in shapes:
@@ -31,7 +31,7 @@ class TestSplitVar(unittest.TestCase):
                 # dtype=core.VarDesc.VarType.LOD_TENSOR,
                 shape=shape)
             var_list.append(var)
-        blocks = split_variable(var_list, 10, min_size)
+        blocks = slice_variable(var_list, 10, min_size)
         all_sizes = []
         for s in expected_sizes:
             for s2 in s:
@@ -49,7 +49,7 @@ class TestSplitVar(unittest.TestCase):
             [1150, 1150, 1150, 1150, 1150, 1150, 1100]
         ]
 
-        self.check_split_output(shapes, expected_sizes, 1024)
+        self.check_slice_output(shapes, expected_sizes, 1024)
 
     def test_check_output_8k(self):
         shapes = [[3, 5], [1024], [28, 784], [8, 1020], [800, 10],
@@ -57,7 +57,7 @@ class TestSplitVar(unittest.TestCase):
         expected_sizes = [[15], [1024], [10976, 10976], [8160], [8000],
                           [35937, 35937, 35937, 35937, 35937, 35937]]
 
-        self.check_split_output(shapes, expected_sizes, 8192)
+        self.check_slice_output(shapes, expected_sizes, 8192)
 
 
 if __name__ == '__main__':