From 93845c8f49e033231863416c4a7efd156f5b35b3 Mon Sep 17 00:00:00 2001 From: Travis CI Date: Wed, 2 Aug 2017 16:14:35 +0000 Subject: [PATCH] Deploy to GitHub Pages: 5cb29a8fbf643c560a388f13e7fb019498abf37a --- .../doc/_sources/api/v2/config/layer.rst.txt | 5 ++ develop/doc/api/v2/config/layer.html | 46 +++++++++++++++++++ develop/doc/searchindex.js | 2 +- .../_sources/api/v2/config/layer.rst.txt | 5 ++ develop/doc_cn/api/v2/config/layer.html | 46 +++++++++++++++++++ develop/doc_cn/searchindex.js | 2 +- 6 files changed, 104 insertions(+), 2 deletions(-) diff --git a/develop/doc/_sources/api/v2/config/layer.rst.txt b/develop/doc/_sources/api/v2/config/layer.rst.txt index ec7f1446cfb..45614f33e2a 100644 --- a/develop/doc/_sources/api/v2/config/layer.rst.txt +++ b/develop/doc/_sources/api/v2/config/layer.rst.txt @@ -104,6 +104,11 @@ cross_channel_norm ------------------ .. autoclass:: paddle.v2.layer.cross_channel_norm :noindex: + +row_l2_norm +----------- +.. autoclass:: paddle.v2.layer.row_l2_norm + :noindex: Recurrent Layers ================ diff --git a/develop/doc/api/v2/config/layer.html b/develop/doc/api/v2/config/layer.html index 7e002653c09..6ee800d998e 100644 --- a/develop/doc/api/v2/config/layer.html +++ b/develop/doc/api/v2/config/layer.html @@ -964,6 +964,52 @@ factors which dimensions equal to the channel’s number.

+ +
+

row_l2_normΒΆ

+
+
+class paddle.v2.layer.row_l2_norm
+
+

A layer for L2-normalization in each row.

+
+\[out[i] =\]
+
+

rac{in[i]}{sqrt{sum_{k=1}^N in[k]^{2}}}

+
+

where the size of \(in\) is (batchSize x dataDim) , +and the size of \(out\) is a (batchSize x dataDim) .

+

The example usage is:

+
row_l2_norm = row_l2_norm(input=layer)
+
+
+ +++ + + + + + + + + + + + + + + + + + + + +
param input:Input layer.
type input:paddle.v2.config_base.Layer
param name:Layer name.
type name:basestring
param layer_attr:
 extra layer attributes.
type layer_attr:
 paddle.v2.attr.ExtraAttribute
return:paddle.v2.config_base.Layer object.
rtype:paddle.v2.config_base.Layer
+
+
+
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\ No newline at end of file diff --git a/develop/doc_cn/_sources/api/v2/config/layer.rst.txt b/develop/doc_cn/_sources/api/v2/config/layer.rst.txt index ec7f1446cfb..45614f33e2a 100644 --- a/develop/doc_cn/_sources/api/v2/config/layer.rst.txt +++ b/develop/doc_cn/_sources/api/v2/config/layer.rst.txt @@ -104,6 +104,11 @@ cross_channel_norm ------------------ .. autoclass:: paddle.v2.layer.cross_channel_norm :noindex: + +row_l2_norm +----------- +.. autoclass:: paddle.v2.layer.row_l2_norm + :noindex: Recurrent Layers ================ diff --git a/develop/doc_cn/api/v2/config/layer.html b/develop/doc_cn/api/v2/config/layer.html index bb288b9d890..0584d4dd0f2 100644 --- a/develop/doc_cn/api/v2/config/layer.html +++ b/develop/doc_cn/api/v2/config/layer.html @@ -969,6 +969,52 @@ factors which dimensions equal to the channel’s number.

+
+
+

row_l2_normΒΆ

+
+
+class paddle.v2.layer.row_l2_norm
+
+

A layer for L2-normalization in each row.

+
+\[out[i] =\]
+
+

rac{in[i]}{sqrt{sum_{k=1}^N in[k]^{2}}}

+
+

where the size of \(in\) is (batchSize x dataDim) , +and the size of \(out\) is a (batchSize x dataDim) .

+

The example usage is:

+
row_l2_norm = row_l2_norm(input=layer)
+
+
+ +++ + + + + + + + + + + + + + + + + + + + +
param input:Input layer.
type input:paddle.v2.config_base.Layer
param name:Layer name.
type name:basestring
param layer_attr:
 extra layer attributes.
type layer_attr:
 paddle.v2.attr.ExtraAttribute
return:paddle.v2.config_base.Layer object.
rtype:paddle.v2.config_base.Layer
+
+
+
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