diff --git a/tools/show.py b/tools/show.py
index e7b3370..a9d2887 100644
--- a/tools/show.py
+++ b/tools/show.py
@@ -9,11 +9,13 @@ import os
 from pathlib import Path
 
 
-def DumpTensorToImage(tensor, name, forceSquare=False, scale=1.0, Contrast=None, GridValue=None):
+def DumpTensorToImage(tensor, name, forceSquare=False, scale=1.0, Contrast=None, GridValue=None, Value2Log=False):
     if len(tensor.shape) != 2 and len(tensor.shape) != 1 and len(tensor.shape) != 3:
         raise ("Error input dims")
     if ("." not in name) or (name.split(".")[-1] not in {"jpg", "png", "bmp"}):
         raise ("Error input name")
+    if Value2Log:
+        DumpTensorToLog(tensor, name[:-4] + ".log")
 
     if len(tensor.shape) == 3:
         channel = tensor.shape[0]
@@ -77,7 +79,11 @@ def DumpTensorToImage(tensor, name, forceSquare=False, scale=1.0, Contrast=None,
 
 def DumpTensorToLog(tensor, name="log"):
     shape = tensor.shape
+    tensor_mean = torch.mean(tensor).cpu().detach().numpy()
+    tensor_range = (torch.max(tensor) - torch.min(tensor)).cpu().detach().numpy()
     f = open(name, "w")
+    f.writelines("tensor mean: %s" % tensor_mean + os.linesep)
+    f.writelines("tensor range: %s" % tensor_range + os.linesep)
     data = tensor.reshape([-1]).float().cpu().detach().numpy().tolist()
     for d in data:
         f.writelines("%s" % d + os.linesep)