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体验新版 GitCode,发现更多精彩内容 >>
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ca4d528b
编写于
6月 12, 2018
作者:
T
Tao Luo
提交者:
GitHub
6月 12, 2018
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Merge pull request #11369 from luotao1/refine_doc
refine docs of elementwise_op etc.
上级
5100c4c3
c4c78733
变更
2
显示空白变更内容
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Showing
2 changed file
with
16 addition
and
15 deletion
+16
-15
paddle/fluid/operators/elementwise_op.h
paddle/fluid/operators/elementwise_op.h
+14
-13
python/paddle/fluid/layers/nn.py
python/paddle/fluid/layers/nn.py
+2
-2
未找到文件。
paddle/fluid/operators/elementwise_op.h
浏览文件 @
ca4d528b
...
...
@@ -66,40 +66,41 @@ class ElementwiseOpMaker : public framework::OpProtoAndCheckerMaker {
.
SetDefault
(
-
1
)
.
EqualGreaterThan
(
-
1
);
AddComment
(
string
::
Sprintf
(
R"DOC(
Limited Elementwise %s Operator
.
Limited Elementwise %s Operator
The equation is:
$$%s$$
$X$ is a tensor of any dimension and the dimensions of tensor $Y$ must be
smaller
than or equal to the dimensions of $X$.
- $X$: a tensor of any dimension.
- $Y$: a tensor whose dimensions must be less
than or equal to the dimensions of $X$.
There are two cases for this operator:
1. The shape of $Y$ is same with $X$;
2. The shape of $Y$ is a congiguous subsequencet of $X$. The trailing dimensions
of size 1 for $Y$ will be ignored for the consideration of subsequence.
1. The shape of $Y$ is the same with $X$.
2. The shape of $Y$ is a continuous subsequence of $X$.
For case 2:
$Y$ will be broadcasted to match the shape of $X$ and axis should be
set to index of the start dimension to broadcast $Y$ onto $X$.
1. Broadcast $Y$ to match the shape of $X$, where $axis$ is the start dimension index
for broadcasting $Y$ onto $X$.
2. If $axis$ is -1 (default), $axis = rank(X) - rank(Y)$.
3. The trailing dimensions of size 1 for $Y$ will be ignored for the consideration of
subsequence, such as shape(Y) = (2, 1) => (2).
If axis is -1, it is treated as axis=rank(X)-rank(Y).
For example:
For example
.. code-block:: python
shape(X) = (2, 3, 4, 5), shape(Y) = (,)
shape(X) = (2, 3, 4, 5), shape(Y) = (5,)
shape(X) = (2, 3, 4, 5), shape(Y) = (4, 5)
shape(X) = (2, 3, 4, 5), shape(Y) = (4, 5)
, with axis=-1(default) or axis=2
shape(X) = (2, 3, 4, 5), shape(Y) = (3, 4), with axis=1
shape(X) = (2, 3, 4, 5), shape(Y) = (2), with axis=0
shape(X) = (2, 3, 4, 5), shape(Y) = (2, 1), with axis=0
Either of the inputs $X$ and $Y$ or none can carry the LoD (Level of Details)
information. However, the output only shares the LoD information with
input $X$.
The inputs $X$ and $Y$ can carry the different LoD information.
But the output only shares the LoD information with the
input $X$.
)DOC"
,
GetName
(),
GetEquation
()));
...
...
python/paddle/fluid/layers/nn.py
浏览文件 @
ca4d528b
...
...
@@ -1445,7 +1445,7 @@ def sequence_pool(input, pool_type):
def
sequence_first_step
(
input
):
"""
This func
iton get
the first step of sequence.
This func
tion gets
the first step of sequence.
.. code-block:: text
...
...
@@ -1478,7 +1478,7 @@ def sequence_first_step(input):
def
sequence_last_step
(
input
):
"""
This func
iton get
the last step of sequence.
This func
tion gets
the last step of sequence.
.. code-block:: text
...
...
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