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
BaiXuePrincess
Paddle
提交
0b6c5e6d
P
Paddle
项目概览
BaiXuePrincess
/
Paddle
与 Fork 源项目一致
Fork自
PaddlePaddle / Paddle
通知
1
Star
1
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
未验证
提交
0b6c5e6d
编写于
1月 06, 2018
作者:
C
Cao Ying
提交者:
GitHub
1月 06, 2018
浏览文件
操作
浏览文件
下载
差异文件
Merge pull request #7223 from PaddlePaddle/emailweixu-patch-1
Fix comment to layers.fc
上级
643ff03f
ebc616b0
变更
1
隐藏空白更改
内联
并排
Showing
1 changed file
with
3 addition
and
3 deletion
+3
-3
python/paddle/v2/fluid/layers/nn.py
python/paddle/v2/fluid/layers/nn.py
+3
-3
未找到文件。
python/paddle/v2/fluid/layers/nn.py
浏览文件 @
0b6c5e6d
...
@@ -64,14 +64,14 @@ def fc(input,
...
@@ -64,14 +64,14 @@ def fc(input,
is flattened: the first `num_flatten_dims`
is flattened: the first `num_flatten_dims`
dimensions will be flatten to form the first
dimensions will be flatten to form the first
dimension of the final matrix (height of the
dimension of the final matrix (height of the
matrix), and the rest `rank(X) - num_
col
_dims`
matrix), and the rest `rank(X) - num_
flatten
_dims`
dimensions are flattened to form the second
dimensions are flattened to form the second
dimension of the final matrix (width of the matrix).
dimension of the final matrix (width of the matrix).
For example, suppose `X` is a 6-dimensional tensor
For example, suppose `X` is a 6-dimensional tensor
with a shape [2, 3, 4, 5, 6], and
with a shape [2, 3, 4, 5, 6], and
`
x_num_col
_dims` = 3. Then, the flattened matrix
`
num_flatten
_dims` = 3. Then, the flattened matrix
will have a shape [2 x 3 x 4, 5 x 6] = [24, 30].
will have a shape [2 x 3 x 4, 5 x 6] = [24, 30].
By default, `
x_num_col
_dims` is set to 1.
By default, `
num_flatten
_dims` is set to 1.
param_attr(ParamAttr|list): The parameter attribute for learnable
param_attr(ParamAttr|list): The parameter attribute for learnable
parameters/weights of the fully connected
parameters/weights of the fully connected
layer.
layer.
...
...
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