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
吃玉米的猫
Paddle
提交
4d6f7515
P
Paddle
项目概览
吃玉米的猫
/
Paddle
与 Fork 源项目一致
Fork自
PaddlePaddle / Paddle
通知
1
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 >>
提交
4d6f7515
编写于
11月 12, 2018
作者:
Q
Qiao Longfei
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
optimize comment test=develop
上级
e33bf70a
变更
1
隐藏空白更改
内联
并排
Showing
1 changed file
with
4 addition
and
10 deletion
+4
-10
python/paddle/fluid/layers/nn.py
python/paddle/fluid/layers/nn.py
+4
-10
未找到文件。
python/paddle/fluid/layers/nn.py
浏览文件 @
4d6f7515
...
...
@@ -8065,28 +8065,22 @@ def bilinear_tensor_product(x,
.. math::
out{i} = x * W_{i} * {y^\mathrm{T}}, i=0,1,...,size-1
In this formula
r
:
In this formula:
- :math:`x`: the first input contains M elements, shape is [batch_size, M].
- :math:`y`: the second input contains N elements, shape is [batch_size, N].
- :math:`W_{i}`: the i-th learned weight, shape is [M, N]
- :math:`out{i}`: the i-th element of out, shape is [batch_size, size].
- :math:`y^\mathrm{T}`: the transpose of :math:`y_{2}`.
The simple usage is:
.. code-block:: python
tensor = bilinear_tensor_product(x=layer1, y=layer2, size=1000)
Args:
x (Variable): 2-D input tensor with shape [batch_size, M]
y (Variable): 2-D input tensor with shape [batch_size, N]
size (int): The dimension of this layer.
act (str, default None): Activation to be applied to the output of this layer.
name (str, default None): The name of this layer.
param_attr (ParamAttr
|list of ParamAttr, default None): The parameter attribute for learnable
param_attr (ParamAttr
, default None): The parameter attribute for the learnable w.
parameters/weights of this layer.
bias_attr (ParamAttr
|list of ParamAttr
, default None): The parameter attribute for the bias
bias_attr (ParamAttr, default None): The parameter attribute for the bias
of this layer. If it is set to False, no bias will be added to the output units.
If it is set to None, the bias is initialized zero. Default: None.
...
...
@@ -8096,7 +8090,7 @@ def bilinear_tensor_product(x,
Examples:
.. code-block:: python
position_tensor = fluid.layers.add_position_encoding(input=tensor
)
tensor = bilinear_tensor_product(x=layer1, y=layer2, size=1000
)
"""
helper
=
LayerHelper
(
'bilinear_tensor_product'
,
**
locals
())
dtype
=
helper
.
input_dtype
(
'x'
)
...
...
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