Fix test_cond flaky test under Windows

test=develop
PaddlePaddle · May 19, 2020 · 3fb330e · 3fb330e
1 parent 85ff797
commit 3fb330e
Showing 1 changed file with 0 additions and 17 deletions.
diff --git a/python/paddle/fluid/tests/unittests/test_cond.py b/python/paddle/fluid/tests/unittests/test_cond.py
@@ -466,12 +466,6 @@ def cond_func(i, img, label):
                                lambda: batchnorm_fc_with_inputs(img, label, class_num=10))
 
         for use_parallel_exe in [False, True]:
-            if use_parallel_exe and os.name == "nt":
-                print(
-                    "Skip use_parallel_exe=True in Windows because of flaky test when using PE and control flow under Windows"
-                )
-                continue
-
             self.backward_value_helper(cond_func,
                                        core.is_compiled_with_cuda(),
                                        use_parallel_exe)
@@ -493,12 +487,6 @@ def cond_func_simple_net_at_false(i, img, label):
                                lambda: branch(i, img, label))
 
         for use_parallel_exe in [False, True]:
-            if use_parallel_exe and os.name == "nt":
-                print(
-                    "Skip use_parallel_exe=True in Windows because of flaky test when using PE and control flow under Windows"
-                )
-                continue
-
             self.backward_value_helper(cond_func_simple_net_at_true,
                                        core.is_compiled_with_cuda(),
                                        use_parallel_exe)
@@ -526,11 +514,6 @@ def cond_func(i, img, label):
                                lambda: branch(i, img, label, False))
 
         for use_parallel_exe in [False, True]:
-            if use_parallel_exe and os.name == "nt":
-                print(
-                    "Skip use_parallel_exe=True in Windows because of flaky test when using PE and control flow under Windows"
-                )
-                continue
             self.backward_value_helper(cond_func,
                                        core.is_compiled_with_cuda(),
                                        use_parallel_exe)