Skip to content
体验新版
项目
组织
正在加载...
登录
切换导航
打开侧边栏
wk1234123
Paddle
提交
f428e82d
P
Paddle
项目概览
wk1234123
/
Paddle
与 Fork 源项目一致
Fork自
PaddlePaddle / Paddle
通知
4
Star
0
Fork
0
代码
文件
提交
分支
Tags
贡献者
分支图
Diff
Issue
0
列表
看板
标记
里程碑
合并请求
0
Wiki
0
Wiki
分析
仓库
DevOps
项目成员
Pages
P
Paddle
项目概览
项目概览
详情
发布
仓库
仓库
文件
提交
分支
标签
贡献者
分支图
比较
Issue
0
Issue
0
列表
看板
标记
里程碑
合并请求
0
合并请求
0
Pages
分析
分析
仓库分析
DevOps
Wiki
0
Wiki
成员
成员
收起侧边栏
关闭侧边栏
动态
分支图
创建新Issue
提交
Issue看板
体验新版 GitCode,发现更多精彩内容 >>
未验证
提交
f428e82d
编写于
5月 03, 2018
作者:
A
Abhinav Arora
提交者:
GitHub
5月 03, 2018
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
Prediction should be a part of inference_network in new API (#10356)
上级
0595f23e
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
6 addition
and
8 deletion
+6
-8
python/paddle/fluid/tests/book/image_classification/notest_image_classification_resnet.py
...mage_classification/notest_image_classification_resnet.py
+3
-4
python/paddle/fluid/tests/book/image_classification/notest_image_classification_vgg.py
...k/image_classification/notest_image_classification_vgg.py
+3
-4
未找到文件。
python/paddle/fluid/tests/book/image_classification/notest_image_classification_resnet.py
浏览文件 @
f428e82d
...
...
@@ -64,15 +64,14 @@ def resnet_cifar10(input, depth=32):
res3
=
layer_warp
(
basicblock
,
res2
,
32
,
64
,
n
,
2
)
pool
=
fluid
.
layers
.
pool2d
(
input
=
res3
,
pool_size
=
8
,
pool_type
=
'avg'
,
pool_stride
=
1
)
return
pool
predict
=
fluid
.
layers
.
fc
(
input
=
pool
,
size
=
10
,
act
=
'softmax'
)
return
predict
def
inference_network
():
classdim
=
10
data_shape
=
[
3
,
32
,
32
]
images
=
fluid
.
layers
.
data
(
name
=
'pixel'
,
shape
=
data_shape
,
dtype
=
'float32'
)
net
=
resnet_cifar10
(
images
,
32
)
predict
=
fluid
.
layers
.
fc
(
input
=
net
,
size
=
classdim
,
act
=
'softmax'
)
predict
=
resnet_cifar10
(
images
,
32
)
return
predict
...
...
python/paddle/fluid/tests/book/image_classification/notest_image_classification_vgg.py
浏览文件 @
f428e82d
...
...
@@ -43,15 +43,14 @@ def vgg16_bn_drop(input):
bn
=
fluid
.
layers
.
batch_norm
(
input
=
fc1
,
act
=
'relu'
)
drop2
=
fluid
.
layers
.
dropout
(
x
=
bn
,
dropout_prob
=
0.5
)
fc2
=
fluid
.
layers
.
fc
(
input
=
drop2
,
size
=
4096
,
act
=
None
)
return
fc2
predict
=
fluid
.
layers
.
fc
(
input
=
fc2
,
size
=
10
,
act
=
'softmax'
)
return
predict
def
inference_network
():
classdim
=
10
data_shape
=
[
3
,
32
,
32
]
images
=
fluid
.
layers
.
data
(
name
=
'pixel'
,
shape
=
data_shape
,
dtype
=
'float32'
)
net
=
vgg16_bn_drop
(
images
)
predict
=
fluid
.
layers
.
fc
(
input
=
net
,
size
=
classdim
,
act
=
'softmax'
)
predict
=
vgg16_bn_drop
(
images
)
return
predict
...
...
编辑
预览
Markdown
is supported
0%
请重试
或
添加新附件
.
添加附件
取消
You are about to add
0
people
to the discussion. Proceed with caution.
先完成此消息的编辑!
取消
想要评论请
注册
或
登录