diff --git a/paddleslim/auto_compression/auto_strategy.py b/paddleslim/auto_compression/auto_strategy.py
index e6ff5570fa490154fdd519bd1163de6ab90eecd8..a51153e13f8974cb4c88b3bbc10975894bc9fb96 100644
--- a/paddleslim/auto_compression/auto_strategy.py
+++ b/paddleslim/auto_compression/auto_strategy.py
@@ -152,18 +152,13 @@ def prepare_strategy(executor,
     """ prepare compression config automatically """
     final_strategy = None
 
-    if with_variable_shape(
+    ### use hardware latency tabel if support
+    if not with_variable_shape(
             model_dir,
             model_filename=model_filename,
-            params_filename=params_filename):
-        deploy_hardware = None
-        _logger.warning(
-            "The model's inputs have variable shape. "
-            "And the latency predictor doesn't support variable shape. "
-            "So auto tuning will be skipped and a default strategy will be chosen."
-        )
-    ### use hardware latency tabel if support
-    if deploy_hardware is not None:
+            params_filename=params_filename) and (
+                deploy_hardware in TableLatencyPredictor.hardware_list):
+
         compressed_time_dict = predict_compressed_model(
             executor,
             places,
@@ -216,7 +211,6 @@ def prepare_strategy(executor,
                 if final_strategy is None:
                     final_strategy = candidate_s[0]
 
-    ### if deploy_hardware is not None
     else:
         ### default speedup ratio of quantization is 70% compare to fp32
         ### TODO(ceci3): full quant or skip some layer later
diff --git a/paddleslim/auto_compression/compressor.py b/paddleslim/auto_compression/compressor.py
index 66ca9eb5807ba8be410e7cb95c771f925c5072d8..b7b1c26b6d18778db1482bb6eba9838c3475a665 100644
--- a/paddleslim/auto_compression/compressor.py
+++ b/paddleslim/auto_compression/compressor.py
@@ -221,11 +221,15 @@ class AutoCompression:
 
     @deploy_hardware.setter
     def deploy_hardware(self, value):
+        supported_hardware = TableLatencyPredictor.hardware_list + [
+            'gpu',  # nvidia gpu
+            "cpu",  # intel cpu
+        ]
         if value is not None:
             # Fail-fast when deploy hardware is set explicitly
             assert (
-                value in TableLatencyPredictor.hardware_list
-            ), f"Hardware should be in supported list {TableLatencyPredictor.hardware_list} but got {value}. Or you can set deploy_hardware None."
+                value in supported_hardware
+            ), f"Hardware should be in supported list {supported_hardware} but got {value}. Or you can set deploy_hardware None."
         self._deploy_hardware = value
 
     def _get_eval_dataloader(self, train_dataloader):
@@ -469,7 +473,7 @@ class AutoCompression:
         return tmp_dir
 
     def compress(self):
-        self.tmp_dir = create_tmp_dir(self.final_dir)
+        self.tmp_dir = self.create_tmp_dir(self.final_dir)
         for strategy_idx, (
                 strategy,
                 config) in enumerate(zip(self._strategy, self._config)):