diff --git a/paddleslim/prune/sensitive.py b/paddleslim/prune/sensitive.py
index 33a9934b307c253085b77c608de0040b96d8a9a2..dcddd6c3f0ba38c2049ccd520ffdea9f7cb79819 100644
--- a/paddleslim/prune/sensitive.py
+++ b/paddleslim/prune/sensitive.py
@@ -209,4 +209,5 @@ def get_ratios_by_loss(sensitivities, loss):
                         _logger.info(losses, ratio, (r1 - r0) / (l1 - l0), i)
 
                 break
+            if i == 0: ratios[param] = 0.0
     return ratios
diff --git a/tests/test_sensitivity.py b/tests/test_sensitivity.py
index c3acf02210098d3a90ad73bcb470b8e91f052cd2..94857ee19a7c9bac857a3e250840365c9771b942 100644
--- a/tests/test_sensitivity.py
+++ b/tests/test_sensitivity.py
@@ -18,7 +18,7 @@ import numpy
 import paddle
 import paddle.fluid as fluid
 from static_case import StaticCase
-from paddleslim.prune import sensitivity, merge_sensitive, load_sensitivities
+from paddleslim.prune import sensitivity, merge_sensitive, load_sensitivities, get_ratios_by_loss
 from layers import conv_bn_layer
 
 
@@ -107,9 +107,16 @@ class TestSensitivity(StaticCase):
             sensitivities_file="./sensitivities_file_2",
             pruned_ratios=[0.1, 0.2, 0.3, 0.4])
         self.assertTrue(params_sens == origin_sens)
-
         self.assertTrue(sens == origin_sens)
 
+        loss = 0.0
+        ratios = get_ratios_by_loss(sens, loss)
+        self.assertTrue(len(ratios) == len(sens))
+
+        loss = min(list(sens.get('conv4_weights').values())) - 0.01
+        ratios = get_ratios_by_loss(sens, loss)
+        self.assertTrue(len(ratios) == len(sens))
+
 
 if __name__ == '__main__':
     unittest.main()