Fix predict bug in image classification (#833)

* fix typo:Infererence

* fix predict bug in ic

03.image_classification/README.cn.md

@@ -338,7 +338,7 @@ def train_program():
     cost = fluid.layers.cross_entropy(input=predict, label=label)
     avg_cost = fluid.layers.mean(cost)
     accuracy = fluid.layers.accuracy(input=predict, label=label)
-    return [avg_cost, accuracy]
+    return [avg_cost, accuracy, predict]
 ```
 
 ## Optimizer Function 配置
@@ -383,7 +383,7 @@ feed_order = ['pixel', 'label']
 main_program = fluid.default_main_program()
 star_program = fluid.default_startup_program()
 
-avg_cost, acc = train_program()
+avg_cost, acc, predict = train_program()
 
 # Test program
 test_program = main_program.clone(for_test=True)

03.image_classification/README.md

@@ -335,7 +335,7 @@ def train_program():
     cost = fluid.layers.cross_entropy(input=predict, label=label)
     avg_cost = fluid.layers.mean(cost)
     accuracy = fluid.layers.accuracy(input=predict, label=label)
-    return [avg_cost, accuracy]
+    return [avg_cost, accuracy, predict]
 ```
 
 ## Optimizer Function Configuration
@@ -383,7 +383,7 @@ feed_order = ['pixel', 'label']
 main_program = fluid.default_main_program()
 star_program = fluid.default_startup_program()
 
-avg_cost, acc = train_program()
+avg_cost, acc, predict = train_program()
 
 # Test program
 test_program = main_program.clone(for_test=True)

03.image_classification/index.cn.html

@@ -380,7 +380,7 @@ def train_program():
     cost = fluid.layers.cross_entropy(input=predict, label=label)
     avg_cost = fluid.layers.mean(cost)
     accuracy = fluid.layers.accuracy(input=predict, label=label)
-    return [avg_cost, accuracy]
+    return [avg_cost, accuracy, predict]
 ```
 
 ## Optimizer Function 配置
@@ -425,7 +425,7 @@ feed_order = ['pixel', 'label']
 main_program = fluid.default_main_program()
 star_program = fluid.default_startup_program()
 
-avg_cost, acc = train_program()
+avg_cost, acc, predict = train_program()
 
 # Test program
 test_program = main_program.clone(for_test=True)

03.image_classification/index.html

@@ -377,7 +377,7 @@ def train_program():
     cost = fluid.layers.cross_entropy(input=predict, label=label)
     avg_cost = fluid.layers.mean(cost)
     accuracy = fluid.layers.accuracy(input=predict, label=label)
-    return [avg_cost, accuracy]
+    return [avg_cost, accuracy, predict]
 ```
 
 ## Optimizer Function Configuration
@@ -425,7 +425,7 @@ feed_order = ['pixel', 'label']
 main_program = fluid.default_main_program()
 star_program = fluid.default_startup_program()
 
-avg_cost, acc = train_program()
+avg_cost, acc, predict = train_program()
 
 # Test program
 test_program = main_program.clone(for_test=True)