From 87ee69498507ca6b731a1b66de59c1eff164e9a9 Mon Sep 17 00:00:00 2001
From: qiaolongfei <qiaolongfei@baidu.com>
Date: Mon, 4 Sep 2017 09:07:42 -0700
Subject: [PATCH] complete the demo code

---
 doc/design/var_desc.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/doc/design/var_desc.md b/doc/design/var_desc.md
index 5286f0a4824..3dc25c23c03 100644
--- a/doc/design/var_desc.md
+++ b/doc/design/var_desc.md
@@ -50,7 +50,7 @@ message LoDTensorDesc {
 In Python API, layer will take Variable as Input, and return Variable as Output.
 
 ```python
-image = Variable()
+image = Variable(dims=[-1, 640, 480])
 # fc1 and fc2 are both Variable
 fc1 = layer.fc(input=image, output_size=10)
 fc2 = layer.fc(input=fc1, output_size=20)
@@ -90,14 +90,14 @@ def flatten_size(X, num_flatten_dims):
   return prod
 
 def layer.fc(X, output_size, num_flatten_dims):
-  W = Var(type=FP32, dims=[flatten_size(X, num_flatten_dims), output_size])
+  W = Variable(type=FP32, dims=[flatten_size(X, num_flatten_dims), output_size])
   b = Variable(type=FP32, dims=[output_size])
   out = Variable(type=FP32)
   y = operator.fc(X, W, b, output=out) # fc will put fc op input into out
   pd.InferShape(y)
   return out
 
-x = var(dim=[-1, 640, 480])
+x = Variable(dims=[-1, 640, 480])
 y = layer.fc(x, output_size=100)
 z = layer.fc(y, output_size=200)
 
-- 
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