diff --git a/PaddleSlim/configs/auto_prune.yaml b/PaddleSlim/configs/auto_prune.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..51a8e2f887b1b96114ea810795ef9288d8b15b01
--- /dev/null
+++ b/PaddleSlim/configs/auto_prune.yaml
@@ -0,0 +1,32 @@
+version: 1.0
+pruners:
+    pruner_1:
+        class: 'StructurePruner'
+        pruning_axis:
+            '*': 0
+        criterions:
+            '*': 'l1_norm'
+controllers:
+    sa_controller:
+        class: 'SAController'
+        reduce_rate: 0.9
+        init_temperature: 100
+        max_iter_number: 300
+strategies:
+    auto_pruning_strategy:
+        class: 'AutoPruneStrategy'
+        pruner: 'pruner_1'
+        controller: 'sa_controller'
+        start_epoch: 0
+        end_epoch: 500
+        retrain_epoch: 0
+        max_ratio: 0.50
+        min_ratio: 0.48
+        uniform_range: 0.4
+        pruned_params: '.*_sep_weights'
+        metric_name: 'acc_top1'
+compressor:
+    epoch: 500
+    checkpoint_path: './checkpoints_auto_pruning/'
+    strategies:
+        - auto_pruning_strategy
diff --git a/PaddleSlim/run.sh b/PaddleSlim/run.sh
index 791b42da93d9ffaeb2610cb3fca0e3430e1bf17a..23d7498f23b20d9c502baa162e446a923b9fe341 100644
--- a/PaddleSlim/run.sh
+++ b/PaddleSlim/run.sh
@@ -67,6 +67,14 @@ cd -
 #--pretrained_model ./pretrain/MobileNetV1_pretrained \
 #--compress_config ./configs/filter_pruning_uniform.yaml
 
+# for auto filter pruning
+#---------------------------
+#export CUDA_VISIBLE_DEVICES=0
+#python compress.py \
+#--model "MobileNet" \
+#--pretrained_model ./pretrain/MobileNetV1_pretrained \
+#--compress_config ./configs/auto_prune.yaml
+
 # for quantization
 #-----------------
 #export CUDA_VISIBLE_DEVICES=0