refine plot_curve

python/paddle/v2/config_base.py

@@ -14,8 +14,9 @@
 
 import collections
 import re
-from paddle.trainer_config_helpers.default_decorators import wrap_name_default
+
 import paddle.trainer_config_helpers as conf_helps
+from paddle.trainer_config_helpers.default_decorators import wrap_name_default
 
 
 class LayerType(type):

python/paddle/v2/plot/__init__.py

@@ -0,0 +1,3 @@
+from plot import Plot
+
+__all__ = ['Plot']

python/paddle/v2/plot/plot.py

@@ -0,0 +1,65 @@
+from IPython import display
+import os
+
+
+class PlotData(object):
+    def __init__(self):
+        self.step = []
+        self.value = []
+
+    def append(self, step, value):
+        self.step.append(step)
+        self.value.append(value)
+
+    def reset(self):
+        self.step = []
+        self.value = []
+
+
+class Plot(object):
+    def __init__(self, *args):
+        self.args = args
+        self.__plot_data__ = {}
+        for title in args:
+            self.__plot_data__[title] = PlotData()
+        self.__disable_plot__ = os.environ.get("DISABLE_PLOT")
+        if not self.__plot_is_disabled__():
+            import matplotlib.pyplot as plt
+            self.plt = plt
+
+    def __plot_is_disabled__(self):
+        return self.__disable_plot__ == "True"
+
+    def append(self, title, step, value):
+        assert isinstance(title, basestring)
+        assert self.__plot_data__.has_key(title)
+        data = self.__plot_data__[title]
+        assert isinstance(data, PlotData)
+        data.append(step, value)
+
+    def plot(self):
+        if self.__plot_is_disabled__():
+            return
+
+        titles = []
+        for title in self.args:
+            data = self.__plot_data__[title]
+            assert isinstance(data, PlotData)
+            if len(data.step) > 0:
+                titles.append(title)
+                self.plt.plot(data.step, data.value)
+        self.plt.legend(titles, loc='upper left')
+        display.clear_output(wait=True)
+        display.display(self.plt.gcf())
+        self.plt.gcf().clear()
+
+    def reset(self):
+        self.__plot_data__ = []
+
+if __name__ == '__main__':
+    title = "cost"
+    plot_test = Plot(title)
+    plot_test.append(title, 1, 1)
+    plot_test.append(title, 2, 2)
+    for k, v in plot_test.__plot_data__.iteritems():
+        print k, v.step, v.value

python/paddle/v2/plot/plot_curve.py

@@ -1,48 +0,0 @@
-from IPython import display
-import os
-
-
-class PlotCost(object):
-    """
-    append train and test cost in event_handle and then call plot.
-    """
-
-    def __init__(self):
-        self.train_costs = ([], [])
-        self.test_costs = ([], [])
-
-        self.__disable_plot__ = os.environ.get("DISABLE_PLOT")
-        if not self.__plot_is_disabled__():
-            import matplotlib.pyplot as plt
-            self.plt = plt
-
-    def __plot_is_disabled__(self):
-        return self.__disable_plot__ == "True"
-
-    def plot(self):
-        if self.__plot_is_disabled__():
-            return
-
-        self.plt.plot(*self.train_costs)
-        self.plt.plot(*self.test_costs)
-        title = []
-        if len(self.train_costs[0]) > 0:
-            title.append('Train Cost')
-        if len(self.test_costs[0]) > 0:
-            title.append('Test Cost')
-        self.plt.legend(title, loc='upper left')
-        display.clear_output(wait=True)
-        display.display(self.plt.gcf())
-        self.plt.gcf().clear()
-
-    def append_train_cost(self, step, cost):
-        self.train_costs[0].append(step)
-        self.train_costs[1].append(cost)
-
-    def append_test_cost(self, step, cost):
-        self.test_costs[0].append(step)
-        self.test_costs[1].append(cost)
-
-    def reset(self):
-        self.train_costs = ([], [])
-        self.test_costs = ([], [])