add event_handler_plot for 03.image_classification

02.recognize_digits/README.en.md

@@ -259,6 +259,7 @@ def event_handler_plot(event):
 ```
 
 `event_handler` is used to plot some text data when training.
+
 ```python
 lists = []
 

02.recognize_digits/index.en.html

@@ -301,6 +301,7 @@ def event_handler_plot(event):
 ```
 
 `event_handler` is used to plot some text data when training.
+
 ```python
 lists = []
 

03.image_classification/README.en.md

@@ -397,6 +397,34 @@ feeding={'image': 0,
 
 Callback function `event_handler` will be called during training when a pre-defined event happens.
 
+`event_handler_plot`is used to plot a figure like below：
+
+![png](./image/train_and_test.png)
+
+```python
+from paddle.v2.plot import Ploter
+
+train_title = "Train cost"
+test_title = "Test cost"
+cost_ploter = Ploter(train_title, test_title)
+
+step = 0
+def event_handler_plot(event):
+    global step
+    if isinstance(event, paddle.event.EndIteration):
+        if step % 1 == 0:
+            cost_ploter.append(train_title, step, event.cost)
+            cost_ploter.plot()
+        step += 1
+    if isinstance(event, paddle.event.EndPass):
+        result = trainer.test(
+            reader=paddle.batch(
+                paddle.dataset.cifar.test10(), batch_size=128),
+            feeding=feeding)
+        cost_ploter.append(test_title, step, result.cost)
+```
+
+`event_handler` is used to plot some text data when training.
 
 ```python
 # event handler to track training and testing process
@@ -422,7 +450,7 @@ Finally, we can invoke `trainer.train` to start training:
 trainer.train(
     reader=reader,
     num_passes=200,
-    event_handler=event_handler,
+    event_handler=event_handler_plot,
     feeding=feeding)
 ```
 

03.image_classification/README.md

@@ -389,6 +389,35 @@ feeding={'image': 0,
 
 可以使用`event_handler`回调函数来观察训练过程，或进行测试等, 该回调函数是`trainer.train`函数里设定。
 
+`event_handler_plot`可以用来利用回调数据来打点画图:
+
+![png](./image/train_and_test.png)
+
+```python
+from paddle.v2.plot import Ploter
+
+train_title = "Train cost"
+test_title = "Test cost"
+cost_ploter = Ploter(train_title, test_title)
+
+step = 0
+def event_handler_plot(event):
+    global step
+    if isinstance(event, paddle.event.EndIteration):
+        if step % 1 == 0:
+            cost_ploter.append(train_title, step, event.cost)
+            cost_ploter.plot()
+        step += 1
+    if isinstance(event, paddle.event.EndPass):
+        result = trainer.test(
+            reader=paddle.batch(
+                paddle.dataset.cifar.test10(), batch_size=128),
+            feeding=feeding)
+        cost_ploter.append(test_title, step, result.cost)
+```
+
+`event_handler` 用来在训练过程中输出文本日志
+
 ```python
 # End batch and end pass event handler
 def event_handler(event):
@@ -413,7 +442,7 @@ def event_handler(event):
 trainer.train(
     reader=reader,
     num_passes=200,
-    event_handler=event_handler,
+    event_handler=event_handler_plot,
     feeding=feeding)
 ```
 

03.image_classification/index.en.html

@@ -439,6 +439,34 @@ feeding={'image': 0,
 
 Callback function `event_handler` will be called during training when a pre-defined event happens.
 
+`event_handler_plot`is used to plot a figure like below：
+
+![png](./image/train_and_test.png)
+
+```python
+from paddle.v2.plot import Ploter
+
+train_title = "Train cost"
+test_title = "Test cost"
+cost_ploter = Ploter(train_title, test_title)
+
+step = 0
+def event_handler_plot(event):
+    global step
+    if isinstance(event, paddle.event.EndIteration):
+        if step % 1 == 0:
+            cost_ploter.append(train_title, step, event.cost)
+            cost_ploter.plot()
+        step += 1
+    if isinstance(event, paddle.event.EndPass):
+        result = trainer.test(
+            reader=paddle.batch(
+                paddle.dataset.cifar.test10(), batch_size=128),
+            feeding=feeding)
+        cost_ploter.append(test_title, step, result.cost)
+```
+
+`event_handler` is used to plot some text data when training.
 
 ```python
 # event handler to track training and testing process
@@ -464,7 +492,7 @@ Finally, we can invoke `trainer.train` to start training:
 trainer.train(
     reader=reader,
     num_passes=200,
-    event_handler=event_handler,
+    event_handler=event_handler_plot,
     feeding=feeding)
 ```
 

03.image_classification/index.html

@@ -431,6 +431,35 @@ feeding={'image': 0,
 
 可以使用`event_handler`回调函数来观察训练过程，或进行测试等, 该回调函数是`trainer.train`函数里设定。
 
+`event_handler_plot`可以用来利用回调数据来打点画图:
+
+![png](./image/train_and_test.png)
+
+```python
+from paddle.v2.plot import Ploter
+
+train_title = "Train cost"
+test_title = "Test cost"
+cost_ploter = Ploter(train_title, test_title)
+
+step = 0
+def event_handler_plot(event):
+    global step
+    if isinstance(event, paddle.event.EndIteration):
+        if step % 1 == 0:
+            cost_ploter.append(train_title, step, event.cost)
+            cost_ploter.plot()
+        step += 1
+    if isinstance(event, paddle.event.EndPass):
+        result = trainer.test(
+            reader=paddle.batch(
+                paddle.dataset.cifar.test10(), batch_size=128),
+            feeding=feeding)
+        cost_ploter.append(test_title, step, result.cost)
+```
+
+`event_handler` 用来在训练过程中输出文本日志
+
 ```python
 # End batch and end pass event handler
 def event_handler(event):
@@ -455,7 +484,7 @@ def event_handler(event):
 trainer.train(
     reader=reader,
     num_passes=200,
-    event_handler=event_handler,
+    event_handler=event_handler_plot,
     feeding=feeding)
 ```