Merge branch 'develop' of https://github.com/PaddlePaddle/Paddle into fix_max_pool

benchmark/IntelOptimizedPaddle.md

@@ -23,7 +23,7 @@ On each machine, we will test and compare the performance of training on single
 ## Benchmark Model
 
 ### Server
-Test on batch size 64, 128, 256 on Intel(R) Xeon(R) Gold 6148M CPU @ 2.40GHz
+Test on batch size 64, 128, 256 on Intel(R) Xeon(R) Gold 6148 CPU @ 2.40GHz
 
 Input image size - 3 * 224 * 224, Time: images/second
 

python/paddle/v2/plot/plot.py

@@ -56,7 +56,7 @@ class Ploter(object):
         assert isinstance(data, PlotData)
         data.append(step, value)
 
-    def plot(self):
+    def plot(self, path=None):
         if self.__plot_is_disabled__():
             return
 
@@ -68,8 +68,11 @@ class Ploter(object):
                 titles.append(title)
                 self.plt.plot(data.step, data.value)
         self.plt.legend(titles, loc='upper left')
-        self.display.clear_output(wait=True)
-        self.display.display(self.plt.gcf())
+        if path is None:
+            self.display.clear_output(wait=True)
+            self.display.display(self.plt.gcf())
+        else:
+            self.plt.savefig(path)
         self.plt.gcf().clear()
 
     def reset(self):