change parameters.to_tar(f) in *.md to trainer.save_parameter_to_tar(f)

01.fit_a_line/README.cn.md

@@ -214,7 +214,7 @@ def event_handler_plot(event):
     if isinstance(event, paddle.event.EndPass):
         if event.pass_id % 10 == 0:
             with open('params_pass_%d.tar' % event.pass_id, 'w') as f:
-                parameters.to_tar(f)
+                trainer.save_parameter_to_tar(f)
 ```
 
 ### 开始训练

01.fit_a_line/README.md

@@ -220,7 +220,7 @@ def event_handler_plot(event):
     if isinstance(event, paddle.event.EndPass):
         if event.pass_id % 10 == 0:
             with open('params_pass_%d.tar' % event.pass_id, 'w') as f:
-                parameters.to_tar(f)
+                trainer.save_parameter_to_tar(f)
 ```
 
 ### Start Training

01.fit_a_line/index.cn.html

@@ -256,7 +256,7 @@ def event_handler_plot(event):
     if isinstance(event, paddle.event.EndPass):
         if event.pass_id % 10 == 0:
             with open('params_pass_%d.tar' % event.pass_id, 'w') as f:
-                parameters.to_tar(f)
+                trainer.save_parameter_to_tar(f)
 ```
 
 ### 开始训练

01.fit_a_line/index.html

@@ -262,7 +262,7 @@ def event_handler_plot(event):
     if isinstance(event, paddle.event.EndPass):
         if event.pass_id % 10 == 0:
             with open('params_pass_%d.tar' % event.pass_id, 'w') as f:
-                parameters.to_tar(f)
+                trainer.save_parameter_to_tar(f)
 ```
 
 ### Start Training

02.recognize_digits/README.cn.md

@@ -256,7 +256,7 @@ def event_handler_plot(event):
     if isinstance(event, paddle.event.EndPass):
         # save parameters
         with open('params_pass_%d.tar' % event.pass_id, 'w') as f:
-            parameters.to_tar(f)
+            trainer.save_parameter_to_tar(f)
 
         result = trainer.test(reader=paddle.batch(
             paddle.dataset.mnist.test(), batch_size=128))
@@ -275,7 +275,7 @@ def event_handler(event):
     if isinstance(event, paddle.event.EndPass):
         # save parameters
         with open('params_pass_%d.tar' % event.pass_id, 'w') as f:
-            parameters.to_tar(f)
+            trainer.save_parameter_to_tar(f)
 
         result = trainer.test(reader=paddle.batch(
             paddle.dataset.mnist.test(), batch_size=128))

02.recognize_digits/README.md

@@ -249,7 +249,7 @@ def event_handler_plot(event):
     if isinstance(event, paddle.event.EndPass):
         # save parameters
         with open('params_pass_%d.tar' % event.pass_id, 'w') as f:
-            parameters.to_tar(f)
+            trainer.save_parameter_to_tar(f)
 
         result = trainer.test(reader=paddle.batch(
             paddle.dataset.mnist.test(), batch_size=128))
@@ -270,7 +270,7 @@ def event_handler(event):
     if isinstance(event, paddle.event.EndPass):
         # save parameters
         with open('params_pass_%d.tar' % event.pass_id, 'w') as f:
-            parameters.to_tar(f)
+            trainer.save_parameter_to_tar(f)
 
         result = trainer.test(reader=paddle.batch(
             paddle.dataset.mnist.test(), batch_size=128))

02.recognize_digits/index.cn.html

@@ -298,7 +298,7 @@ def event_handler_plot(event):
     if isinstance(event, paddle.event.EndPass):
         # save parameters
         with open('params_pass_%d.tar' % event.pass_id, 'w') as f:
-            parameters.to_tar(f)
+            trainer.save_parameter_to_tar(f)
 
         result = trainer.test(reader=paddle.batch(
             paddle.dataset.mnist.test(), batch_size=128))
@@ -317,7 +317,7 @@ def event_handler(event):
     if isinstance(event, paddle.event.EndPass):
         # save parameters
         with open('params_pass_%d.tar' % event.pass_id, 'w') as f:
-            parameters.to_tar(f)
+            trainer.save_parameter_to_tar(f)
 
         result = trainer.test(reader=paddle.batch(
             paddle.dataset.mnist.test(), batch_size=128))

02.recognize_digits/index.html

@@ -291,7 +291,7 @@ def event_handler_plot(event):
     if isinstance(event, paddle.event.EndPass):
         # save parameters
         with open('params_pass_%d.tar' % event.pass_id, 'w') as f:
-            parameters.to_tar(f)
+            trainer.save_parameter_to_tar(f)
 
         result = trainer.test(reader=paddle.batch(
             paddle.dataset.mnist.test(), batch_size=128))
@@ -312,7 +312,7 @@ def event_handler(event):
     if isinstance(event, paddle.event.EndPass):
         # save parameters
         with open('params_pass_%d.tar' % event.pass_id, 'w') as f:
-            parameters.to_tar(f)
+            trainer.save_parameter_to_tar(f)
 
         result = trainer.test(reader=paddle.batch(
             paddle.dataset.mnist.test(), batch_size=128))

03.image_classification/README.cn.md

@@ -432,7 +432,7 @@ def event_handler(event):
     if isinstance(event, paddle.event.EndPass):
         # save parameters
         with open('params_pass_%d.tar' % event.pass_id, 'w') as f:
-            parameters.to_tar(f)
+            trainer.save_parameter_to_tar(f)
 
         result = trainer.test(
             reader=paddle.batch(

03.image_classification/README.md

@@ -438,7 +438,7 @@ def event_handler(event):
     if isinstance(event, paddle.event.EndPass):
         # save parameters
         with open('params_pass_%d.tar' % event.pass_id, 'w') as f:
-            parameters.to_tar(f)
+            trainer.save_parameter_to_tar(f)
 
         result = trainer.test(
             reader=paddle.batch(

03.image_classification/index.cn.html

@@ -474,7 +474,7 @@ def event_handler(event):
     if isinstance(event, paddle.event.EndPass):
         # save parameters
         with open('params_pass_%d.tar' % event.pass_id, 'w') as f:
-            parameters.to_tar(f)
+            trainer.save_parameter_to_tar(f)
 
         result = trainer.test(
             reader=paddle.batch(

03.image_classification/index.html

@@ -480,7 +480,7 @@ def event_handler(event):
     if isinstance(event, paddle.event.EndPass):
         # save parameters
         with open('params_pass_%d.tar' % event.pass_id, 'w') as f:
-            parameters.to_tar(f)
+            trainer.save_parameter_to_tar(f)
 
         result = trainer.test(
             reader=paddle.batch(

04.word2vec/README.cn.md

@@ -336,7 +336,7 @@ def event_handler(event):
                         paddle.dataset.imikolov.test(word_dict, N), 32))
         print "Pass %d, Testing metrics %s" % (event.pass_id, result.metrics)
         with open("model_%d.tar"%event.pass_id, 'w') as f:
-            parameters.to_tar(f)
+            trainer.save_parameter_to_tar(f)
 
 trainer.train(
     paddle.batch(paddle.dataset.imikolov.train(word_dict, N), 32),

04.word2vec/README.md

@@ -348,7 +348,7 @@ def event_handler(event):
                         paddle.dataset.imikolov.test(word_dict, N), 32))
         print "Pass %d, Testing metrics %s" % (event.pass_id, result.metrics)
         with open("model_%d.tar"%event.pass_id, 'w') as f:
-            parameters.to_tar(f)
+            trainer.save_parameter_to_tar(f)
 
 trainer.train(
     paddle.batch(paddle.dataset.imikolov.train(word_dict, N), 32),

04.word2vec/index.cn.html

@@ -378,7 +378,7 @@ def event_handler(event):
                         paddle.dataset.imikolov.test(word_dict, N), 32))
         print "Pass %d, Testing metrics %s" % (event.pass_id, result.metrics)
         with open("model_%d.tar"%event.pass_id, 'w') as f:
-            parameters.to_tar(f)
+            trainer.save_parameter_to_tar(f)
 
 trainer.train(
     paddle.batch(paddle.dataset.imikolov.train(word_dict, N), 32),

04.word2vec/index.html

@@ -390,7 +390,7 @@ def event_handler(event):
                         paddle.dataset.imikolov.test(word_dict, N), 32))
         print "Pass %d, Testing metrics %s" % (event.pass_id, result.metrics)
         with open("model_%d.tar"%event.pass_id, 'w') as f:
-            parameters.to_tar(f)
+            trainer.save_parameter_to_tar(f)
 
 trainer.train(
     paddle.batch(paddle.dataset.imikolov.train(word_dict, N), 32),

06.understand_sentiment/README.cn.md

@@ -291,7 +291,7 @@ Paddle中提供了一系列优化算法的API，这里使用Adam优化算法。
                 sys.stdout.flush()
         if isinstance(event, paddle.event.EndPass):
             with open('./params_pass_%d.tar' % event.pass_id, 'w') as f:
-                parameters.to_tar(f)
+                trainer.save_parameter_to_tar(f)
 
             result = trainer.test(reader=test_reader, feeding=feeding)
             print "\nTest with Pass %d, %s" % (event.pass_id, result.metrics)

06.understand_sentiment/README.md

@@ -310,7 +310,7 @@ def event_handler(event):
             sys.stdout.flush()
     if isinstance(event, paddle.event.EndPass):
         with open('./params_pass_%d.tar' % event.pass_id, 'w') as f:
-                parameters.to_tar(f)
+            trainer.save_parameter_to_tar(f)
 
         result = trainer.test(reader=test_reader, feeding=feeding)
         print "\nTest with Pass %d, %s" % (event.pass_id, result.metrics)

06.understand_sentiment/index.cn.html

@@ -333,7 +333,7 @@ Paddle中提供了一系列优化算法的API，这里使用Adam优化算法。
                 sys.stdout.flush()
         if isinstance(event, paddle.event.EndPass):
             with open('./params_pass_%d.tar' % event.pass_id, 'w') as f:
-                parameters.to_tar(f)
+                trainer.save_parameter_to_tar(f)
 
             result = trainer.test(reader=test_reader, feeding=feeding)
             print "\nTest with Pass %d, %s" % (event.pass_id, result.metrics)

06.understand_sentiment/index.html

@@ -352,7 +352,7 @@ def event_handler(event):
             sys.stdout.flush()
     if isinstance(event, paddle.event.EndPass):
         with open('./params_pass_%d.tar' % event.pass_id, 'w') as f:
-                parameters.to_tar(f)
+            trainer.save_parameter_to_tar(f)
 
         result = trainer.test(reader=test_reader, feeding=feeding)
         print "\nTest with Pass %d, %s" % (event.pass_id, result.metrics)

07.label_semantic_roles/README.cn.md

@@ -448,7 +448,7 @@ def event_handler(event):
     if isinstance(event, paddle.event.EndPass):
         # save parameters
         with open('params_pass_%d.tar' % event.pass_id, 'w') as f:
-            parameters.to_tar(f)
+            trainer.save_parameter_to_tar(f)
 
         result = trainer.test(reader=reader, feeding=feeding)
         print "\nTest with Pass %d, %s" % (event.pass_id, result.metrics)

07.label_semantic_roles/README.md

@@ -466,7 +466,7 @@ def event_handler(event):
     if isinstance(event, paddle.event.EndPass):
         # save parameters
         with open('params_pass_%d.tar' % event.pass_id, 'w') as f:
-            parameters.to_tar(f)
+            trainer.save_parameter_to_tar(f)
 
         result = trainer.test(reader=reader, feeding=feeding)
         print "\nTest with Pass %d, %s" % (event.pass_id, result.metrics)

07.label_semantic_roles/index.cn.html

@@ -490,7 +490,7 @@ def event_handler(event):
     if isinstance(event, paddle.event.EndPass):
         # save parameters
         with open('params_pass_%d.tar' % event.pass_id, 'w') as f:
-            parameters.to_tar(f)
+            trainer.save_parameter_to_tar(f)
 
         result = trainer.test(reader=reader, feeding=feeding)
         print "\nTest with Pass %d, %s" % (event.pass_id, result.metrics)

07.label_semantic_roles/index.html

@@ -508,7 +508,7 @@ def event_handler(event):
     if isinstance(event, paddle.event.EndPass):
         # save parameters
         with open('params_pass_%d.tar' % event.pass_id, 'w') as f:
-            parameters.to_tar(f)
+            trainer.save_parameter_to_tar(f)
 
         result = trainer.test(reader=reader, feeding=feeding)
         print "\nTest with Pass %d, %s" % (event.pass_id, result.metrics)

serve/README.md

@@ -61,12 +61,12 @@ PaddlePaddle stores the topology and parameter separately.
       inference_topology.serialize_for_inference(f)
   ```
 
-2. To save a parameter, we need to invoke `to_tar` method in Parameter
-   class.
+2. To save a parameter, we need to invoke `save_parameter_to_tar` method of
+  `trainer`.
 
   ```python
   with open('param.tar', 'w') as f:
-            params.to_tar(f)
+      trainer.save_parameter_to_tar(f)
   ```
 
  After serializing the parameter and topology into two files, we could