Skip to content
项目
群组
代码片段
帮助
当前项目
正在载入...
登录 / 注册
切换导航面板
P
pytensor
项目
项目
详情
活动
周期分析
仓库
仓库
文件
提交
分支
标签
贡献者
图表
比较
统计图
议题
0
议题
0
列表
看板
标记
里程碑
合并请求
0
合并请求
0
CI / CD
CI / CD
流水线
作业
日程
统计图
Wiki
Wiki
代码片段
代码片段
成员
成员
折叠边栏
关闭边栏
活动
图像
聊天
创建新问题
作业
提交
问题看板
Open sidebar
testgroup
pytensor
Commits
29c523e1
提交
29c523e1
authored
1月 18, 2010
作者:
Dumitru Erhan
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
reductions doc
上级
9e5d819c
隐藏空白字符变更
内嵌
并排
正在显示
1 个修改的文件
包含
46 行增加
和
9 行删除
+46
-9
basic.txt
doc/library/tensor/basic.txt
+46
-9
没有找到文件。
doc/library/tensor/basic.txt
浏览文件 @
29c523e1
...
...
@@ -271,23 +271,60 @@ Reductions
==========
.. function:: max(x)
.. function:: max(x
,axis=None
)
:param x: symbolic Tensor (or compatible)
:Parameter: *x* - symbolic Tensor (or compatible)
:Parameter: *axis* - axis along which to compute the maximum
:Returns: the maximum value along a given axis
.. note::
Returns TODO
If axis=None, then axis is assumed to be ndim(x)-1
.. function:: min(x)
.. function:: min(x
,axis=None
)
:param x: symbolic Tensor (or compatible)
:Parameter: *x* - symbolic Tensor (or compatible)
:Parameter: *axis* - axis along which to compute the minimum
:Returns: the minimum value along a given axis
Returns TODO
.. note::
.. function:: sum(x)
if axis=None, then axis is assumed to be ndim(x)-1
:param x: symbolic Tensor (or compatible)
.. function:: sum(x,axis=None)
:Parameter: *x* - symbolic Tensor (or compatible)
:Parameter: *axis* - axis or axes along which to compute the sum
:Returns: sum of *x* along *axis*
axis can be:
* *None* - in which case the sum is computed along all axes (like numpy)
* an *int* - computed along this axis
* a *list of ints* - computed along these axes
.. function:: mean(x,axis=None)
:Parameter: *x* - symbolic Tensor (or compatible)
:Parameter: *axis* - axis or axes along which to compute the mean
:Returns: mean value of *x* along *axis*
axis can be:
* *None* - in which case the mean is computed along all axes (like numpy)
* an *int* - computed along this axis
* a *list of ints* - computed along these axes
.. function:: var(x,axis=None)
:Parameter: *x* - symbolic Tensor (or compatible)
:Parameter: *axis* - axis or axes along which to compute the variance
:Returns: variance of *x* along *axis*
axis can be:
* *None* - variance computed along all axes (like numpy)
* an *int* - computed along this axis
* a *list of ints* - computed along these axes
Returns TODO
Indexing
========
...
...
编写
预览
Markdown
格式
0%
重试
或
添加新文件
添加附件
取消
您添加了
0
人
到此讨论。请谨慎行事。
请先完成此评论的编辑!
取消
请
注册
或者
登录
后发表评论