diff --git a/slim/distillation/distill.py b/slim/distillation/distill.py
index f95fc264e6cf81bcb1c04122731b1e524679437b..dd3a86c0fcab74979baafbcc51becfa927770846 100644
--- a/slim/distillation/distill.py
+++ b/slim/distillation/distill.py
@@ -305,7 +305,7 @@ def main():
         build_strategy=build_strategy,
         exec_strategy=exec_strategy)
 
-    compiled_eval_prog = fluid.compiler.CompiledProgram(eval_prog)
+    compiled_eval_prog = fluid.CompiledProgram(eval_prog)
 
     # whether output bbox is normalized in model output layer
     is_bbox_normalized = False
diff --git a/slim/extensions/distill_pruned_model/distill_pruned_model.py b/slim/extensions/distill_pruned_model/distill_pruned_model.py
index 71059202c20901d067e3a7519a7b1fb9a59ca01e..a2adc6cf7652026fb493e7b141e295454bd450e4 100644
--- a/slim/extensions/distill_pruned_model/distill_pruned_model.py
+++ b/slim/extensions/distill_pruned_model/distill_pruned_model.py
@@ -276,7 +276,7 @@ def main():
         loss_name=loss.name,
         build_strategy=build_strategy,
         exec_strategy=exec_strategy)
-    compiled_eval_prog = fluid.compiler.CompiledProgram(eval_prog)
+    compiled_eval_prog = fluid.CompiledProgram(eval_prog)
 
     # parse eval fetches
     extra_keys = []
diff --git a/slim/nas/train_nas.py b/slim/nas/train_nas.py
index f4eca0e31baee8b4cfeb717814ec5c24baf955e9..3c30c7ffdd1c50b2d3c24eb78de14e9e84ed3fa3 100644
--- a/slim/nas/train_nas.py
+++ b/slim/nas/train_nas.py
@@ -323,7 +323,7 @@ def main():
                 build_strategy=build_strategy,
                 exec_strategy=exec_strategy)
         if FLAGS.eval:
-            compiled_eval_prog = fluid.compiler.CompiledProgram(eval_prog)
+            compiled_eval_prog = fluid.CompiledProgram(eval_prog)
 
         train_loader.set_sample_list_generator(train_reader, place)
 
diff --git a/slim/prune/eval.py b/slim/prune/eval.py
index 53f2005b15266f01c21610bd1e82df20fbfa684f..73386d0f7026f8ec8785c57b0917773d28d80e8d 100644
--- a/slim/prune/eval.py
+++ b/slim/prune/eval.py
@@ -119,8 +119,7 @@ def main():
     logger.info("pruned FLOPS: {}".format(
         float(base_flops - pruned_flops) / base_flops))
 
-    compile_program = fluid.compiler.CompiledProgram(
-        eval_prog).with_data_parallel()
+    compile_program = fluid.CompiledProgram(eval_prog).with_data_parallel()
 
     assert cfg.metric != 'OID', "eval process of OID dataset \
                           is not supported."
diff --git a/slim/prune/prune.py b/slim/prune/prune.py
index f6b219b36b0229c920d48c2e8bde6de8a2fd1682..01b3488d7d80e1090fb5ddc0a3b3bc694eb94918 100644
--- a/slim/prune/prune.py
+++ b/slim/prune/prune.py
@@ -215,7 +215,7 @@ def main():
         logger.info("FLOPs -{}; total FLOPs: {}; pruned FLOPs: {}".format(
             float(base_flops - pruned_flops) / base_flops, base_flops,
             pruned_flops))
-        compiled_eval_prog = fluid.compiler.CompiledProgram(eval_prog)
+        compiled_eval_prog = fluid.CompiledProgram(eval_prog)
 
     if FLAGS.resume_checkpoint:
         checkpoint.load_checkpoint(exe, train_prog, FLAGS.resume_checkpoint)
diff --git a/slim/quantization/eval.py b/slim/quantization/eval.py
index 037bbcfd3f6feb5a2245231aef3f870f95a0d6fd..ecc77e45f85e7b6ef67714fc28c85c604485a182 100644
--- a/slim/quantization/eval.py
+++ b/slim/quantization/eval.py
@@ -132,8 +132,7 @@ def main():
         checkpoint.load_params(exe, eval_prog, cfg.weights)
     eval_prog = convert(eval_prog, place, config, save_int8=False)
 
-    compile_program = fluid.compiler.CompiledProgram(
-        eval_prog).with_data_parallel()
+    compile_program = fluid.CompiledProgram(eval_prog).with_data_parallel()
 
     results = eval_run(exe, compile_program, loader, keys, values, cls, cfg,
                        sub_eval_prog, sub_keys, sub_values)
diff --git a/slim/quantization/train.py b/slim/quantization/train.py
index 734dc39d47244b9cde1a63a55e38e9bd7a4c21ea..63c65816b8a337c8f0c169ff260c47427d757b74 100644
--- a/slim/quantization/train.py
+++ b/slim/quantization/train.py
@@ -200,7 +200,7 @@ def main():
     if FLAGS.eval:
         # insert quantize op in eval_prog
         eval_prog = quant_aware(eval_prog, place, config, for_test=True)
-        compiled_eval_prog = fluid.compiler.CompiledProgram(eval_prog)
+        compiled_eval_prog = fluid.CompiledProgram(eval_prog)
 
     start_iter = 0
     if FLAGS.resume_checkpoint:
diff --git a/slim/sensitive/sensitive.py b/slim/sensitive/sensitive.py
index 23581fead69ccacc706f56e80aa8d75f4f6e75c0..4ddea20150623a62f057e4645591ad9050447d27 100644
--- a/slim/sensitive/sensitive.py
+++ b/slim/sensitive/sensitive.py
@@ -122,7 +122,7 @@ def main():
 
     def test(program):
 
-        compiled_eval_prog = fluid.compiler.CompiledProgram(program)
+        compiled_eval_prog = fluid.CompiledProgram(program)
 
         results = eval_run(
             exe,
diff --git a/tools/eval.py b/tools/eval.py
index 40840503fda541dadb37e43c7b63d304edcf7938..2c822638f1c9eac0eb8a3118d7e3026af1737670 100644
--- a/tools/eval.py
+++ b/tools/eval.py
@@ -88,8 +88,7 @@ def main():
             cfg.metric, json_directory=FLAGS.output_eval, dataset=dataset)
         return
 
-    compile_program = fluid.compiler.CompiledProgram(
-        eval_prog).with_data_parallel()
+    compile_program = fluid.CompiledProgram(eval_prog).with_data_parallel()
 
     assert cfg.metric != 'OID', "eval process of OID dataset \
                           is not supported."
diff --git a/tools/train.py b/tools/train.py
index 20ae45f0cb9ae4f3be7b85e675b9cfbde1ac6c8d..017fed672236c07b81fa0b95da5ad98fcd89ad4b 100644
--- a/tools/train.py
+++ b/tools/train.py
@@ -180,7 +180,7 @@ def main():
         exec_strategy=exec_strategy)
 
     if FLAGS.eval:
-        compiled_eval_prog = fluid.compiler.CompiledProgram(eval_prog)
+        compiled_eval_prog = fluid.CompiledProgram(eval_prog)
 
     fuse_bn = getattr(model.backbone, 'norm_type', None) == 'affine_channel'