diff --git a/paddlespeech/cls/exps/panns/deploy/predict.py b/paddlespeech/cls/exps/panns/deploy/predict.py
index 1dd0fb531..a6b735335 100644
--- a/paddlespeech/cls/exps/panns/deploy/predict.py
+++ b/paddlespeech/cls/exps/panns/deploy/predict.py
@@ -15,12 +15,15 @@ import argparse
 import os
 
 import numpy as np
+import paddle
 from paddle import inference
 from paddle.audio.datasets import ESC50
 from paddle.audio.features import LogMelSpectrogram
 from paddleaudio.backends import soundfile_load as load_audio
 from scipy.special import softmax
 
+import paddlespeech.utils
+
 # yapf: disable
 parser = argparse.ArgumentParser()
 parser.add_argument("--model_dir", type=str, required=True, default="./export", help="The directory to static model.")
@@ -56,7 +59,6 @@ def extract_features(files: str, **kwargs):
         feature_extractor = LogMelSpectrogram(sr, **kwargs)
         feat = feature_extractor(paddle.to_tensor(waveforms[i]))
         feat = paddle.transpose(feat, perm=[1, 0]).unsqueeze(0)
-
         feats.append(feat)
 
     return np.stack(feats, axis=0)
@@ -73,13 +75,18 @@ class Predictor(object):
                  enable_mkldnn=False):
         self.batch_size = batch_size
 
-        model_file = os.path.join(model_dir, "inference.pdmodel")
-        params_file = os.path.join(model_dir, "inference.pdiparams")
+        if paddlespeech.utils.satisfy_paddle_version('3.0.0-beta'):
+            config = inference.Config(model_dir, 'inference')
+            config.disable_mkldnn()
+        else:
+            model_file = os.path.join(model_dir, 'inference.pdmodel')
+            params_file = os.path.join(model_dir, "inference.pdiparams")
+
+            assert os.path.isfile(model_file) and os.path.isfile(
+                params_file), 'Please check model and parameter files.'
 
-        assert os.path.isfile(model_file) and os.path.isfile(
-            params_file), 'Please check model and parameter files.'
+            config = inference.Config(model_file, params_file)
 
-        config = inference.Config(model_file, params_file)
         if device == "gpu":
             # set GPU configs accordingly
             # such as intialize the gpu memory, enable tensorrt
diff --git a/paddlespeech/cls/exps/panns/export_model.py b/paddlespeech/cls/exps/panns/export_model.py
index 63b22981a..e860b54aa 100644
--- a/paddlespeech/cls/exps/panns/export_model.py
+++ b/paddlespeech/cls/exps/panns/export_model.py
@@ -39,7 +39,8 @@ if __name__ == '__main__':
         input_spec=[
             paddle.static.InputSpec(
                 shape=[None, None, 64], dtype=paddle.float32)
-        ])
+        ],
+        full_graph=True)
 
     # Save in static graph model.
     paddle.jit.save(model, os.path.join(args.output_dir, "inference"))
diff --git a/paddlespeech/utils/__init__.py b/paddlespeech/utils/__init__.py
index 185a92b8d..66c492779 100644
--- a/paddlespeech/utils/__init__.py
+++ b/paddlespeech/utils/__init__.py
@@ -11,3 +11,19 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
+from packaging.version import Version
+
+
+def satisfy_version(source: str, target: str, dev_allowed: bool=True) -> bool:
+    if dev_allowed and source.startswith('0.0.0'):
+        target_version = Version('0.0.0')
+    else:
+        target_version = Version(target)
+
+    source_version = Version(source)
+    return source_version >= target_version
+
+
+def satisfy_paddle_version(target: str, dev_allowed: bool=True) -> bool:
+    import paddle
+    return satisfy_version(paddle.__version__, target, dev_allowed)