From f3db005c4a50db2f52eeed85aa2a8e729c6dcd1f Mon Sep 17 00:00:00 2001
From: fengjiayi <fengjiayi@baidu.com>
Date: Tue, 5 Jun 2018 17:41:01 +0800
Subject: [PATCH] fix errors

---
 python/paddle/fluid/layers/nn.py | 10 ++++++----
 1 file changed, 6 insertions(+), 4 deletions(-)

diff --git a/python/paddle/fluid/layers/nn.py b/python/paddle/fluid/layers/nn.py
index ac8843e4f3..56f6f26803 100644
--- a/python/paddle/fluid/layers/nn.py
+++ b/python/paddle/fluid/layers/nn.py
@@ -81,6 +81,8 @@ __all__ = [
     'label_smooth',
     'roi_pool',
     'dice_loss',
+    'image_resize',
+    'image_resize_short',
     'resize_bilinear',
     'gather',
     'random_crop',
@@ -4036,7 +4038,7 @@ def image_resize_short(input, out_short_len, resample='BILINEAR'):
                           This is a 4-D tensor of the shape
                           (num_batches, channels, in_h, in_w).
         out_short_len(int): The length of output images' short edge.
-    
+
     Returns:
         out (Variable): The output is a 4-D tensor of the shape
                         (num_batches, channls, out_h, out_w).
@@ -4050,9 +4052,9 @@ def image_resize_short(input, out_short_len, resample='BILINEAR'):
     long_idx = 1 - short_idx
     out_shape = list(hw)
     out_shape[short_idx] = out_short_len
-    out_shape[long_idx] = round(
-        float(out_shape[long_idx]) *
-        (float(out_short_len) / float(hw[short_idx])))
+    out_shape[long_idx] = int(
+        float(out_shape[long_idx]) * (float(out_short_len) / float(hw[
+            short_idx])) + 0.5)
     return image_resize(input=input, out_shape=out_shape, resample=resample)
 
 
-- 
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