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
PaddlePaddle
Paddle
提交
63b2e98f
P
Paddle
项目概览
PaddlePaddle
/
Paddle
12 个月 前同步成功
通知
2292
Star
20931
Fork
5422
代码
文件
提交
分支
Tags
贡献者
分支图
Diff
Issue
1423
列表
看板
标记
里程碑
合并请求
543
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
1,423
Issue
1,423
列表
看板
标记
里程碑
合并请求
543
合并请求
543
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
63b2e98f
编写于
10月 10, 2018
作者:
X
Xin Pan
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
Explain LoD and a few other concepts
test=develop
上级
e1904ac2
变更
3
显示空白变更内容
内联
并排
Showing
3 changed file
with
50 addition
and
3 deletion
+50
-3
paddle/fluid/pybind/pybind.cc
paddle/fluid/pybind/pybind.cc
+44
-1
python/paddle/fluid/layers/io.py
python/paddle/fluid/layers/io.py
+5
-1
python/paddle/fluid/layers/tensor.py
python/paddle/fluid/layers/tensor.py
+1
-1
未找到文件。
paddle/fluid/pybind/pybind.cc
浏览文件 @
63b2e98f
...
...
@@ -157,7 +157,50 @@ PYBIND11_PLUGIN(core) {
.
def
(
"_get_double_element"
,
TensorGetElement
<
double
>
)
.
def
(
"_dtype"
,
[](
Tensor
&
self
)
{
return
ToDataType
(
self
.
type
());
});
py
::
class_
<
LoDTensor
,
Tensor
>
(
m
,
"LoDTensor"
)
py
::
class_
<
LoDTensor
,
Tensor
>
(
m
,
"LoDTensor"
,
R"DOC(
LoDTensor is a Tensor with optional LoD information.
np.array(lod_tensor) can convert LoDTensor to numpy array.
lod_tensor.lod() can retrieve the LoD information.
LoD is short for Level of Details and is usually used for varied sequence
length. You can skip the following comment if you don't need optional LoD.
For example:
A LoDTensor X can look like the example below. It contains 2 sequences.
The first has length 2 and the second has length 3, as described by x.lod.
The first tensor dimension 6=2+3 is calculated from LoD if it's available.
It means the total number of sequence element. In X, each element has 2
columns, hence [6, 2].
x.lod = [[2, 3]]
x.data = [[1, 2], [3, 4],
[5, 6], [7, 8], [9, 10], [11, 12]]
x.shape = [6, 2]
LoD can have multiple levels (for example, a paragraph can have multiple
sentences and a sentence can have multiple words). In the following
LodTensor Y, the lod_level is 2. It means there are 2 sequence, the
first sequence length is 2 (has 2 sub-sequences), the second one's
length is 1. The first sequence's 2 sub-sequences have length 2 and 2,
respectively. And the second sequence's 1 sub-sequence has length 3.
y.lod = [[2 1], [2 2 3]]
y.shape = [2+2+3, ...]
Note:
In above description, LoD is length-based. In Paddle internal
implementation, lod is offset-based. Hence, internally,
y.lod is represented as [[0, 2, 3], [0, 2, 4, 7]] (length-based
equivlent would be [[2-0, 3-2], [2-0, 4-2, 7-4]]).
Sometimes LoD is called recursive_sequence_length to be more
self-explanatory. In this case, it must be length-based. Due to history
reasons. when LoD is called lod in public API, it might be offset-based.
Users should be careful about it.
)DOC"
)
.
def_buffer
(
[](
Tensor
&
self
)
->
py
::
buffer_info
{
return
CastToPyBuffer
(
self
);
})
.
def
(
"__init__"
,
...
...
python/paddle/fluid/layers/io.py
浏览文件 @
63b2e98f
...
...
@@ -56,7 +56,11 @@ def data(name,
Args:
name(str): The name/alias of the function
shape(list): Tuple declaring the shape.
append_batch_size(bool): Whether or not to append the data as a batch.
append_batch_size(bool):
1. If true, it prepends -1 to the shape.
For example if shape=[1], the resulting shape is [-1, 1].
2. If shape contains -1, such as shape=[1, -1],
append_batch_size will be enforced to be be False (ineffective).
dtype(int|float): The type of data : float32, float_16, int etc
type(VarType): The output type. By default it is LOD_TENSOR.
lod_level(int): The LoD Level. 0 means the input data is not a sequence.
...
...
python/paddle/fluid/layers/tensor.py
浏览文件 @
63b2e98f
...
...
@@ -100,7 +100,7 @@ def create_global_var(shape,
force_cpu
=
False
,
name
=
None
):
"""
Create a new
variabl
e in the global block(block 0).
Create a new
tensor variable with valu
e in the global block(block 0).
Args:
shape(list[int]): shape of the variable
...
...
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