diff --git a/ppcls/metric/metrics.py b/ppcls/metric/metrics.py
index 9112f1b9b5c2d5fdb5f8abf945c666674fa76d40..9908b3541d612f985e4bd0bbcecbcf488e8ec719 100644
--- a/ppcls/metric/metrics.py
+++ b/ppcls/metric/metrics.py
@@ -104,7 +104,7 @@ class mINP(nn.Layer):
                 keep_mask.astype('float32'), choosen_indices)
             equal_flag = paddle.logical_and(equal_flag,
                                             keep_mask.astype('bool'))
-        equal_flag = paddle.cast(equal_flag, 'float64')
+        equal_flag = paddle.cast(equal_flag, 'float32')
 
         num_rel = paddle.sum(equal_flag, axis=1)
         num_rel = paddle.greater_than(num_rel, paddle.to_tensor(0.))
@@ -113,10 +113,10 @@ class mINP(nn.Layer):
         equal_flag = paddle.index_select(equal_flag, num_rel_index, axis=0)
 
         #do accumulative sum
-        div = paddle.arange(equal_flag.shape[1]).astype("float64") + 2
+        div = paddle.arange(equal_flag.shape[1]).astype("float32") + 2
         minus = paddle.divide(equal_flag, div)
         auxilary = paddle.subtract(equal_flag, minus)
-        hard_index = paddle.argmax(auxilary, axis=1).astype("float64")
+        hard_index = paddle.argmax(auxilary, axis=1).astype("float32")
         all_INP = paddle.divide(paddle.sum(equal_flag, axis=1), hard_index)
         mINP = paddle.mean(all_INP)
         metric_dict["mINP"] = mINP.numpy()[0]