@@ -1245,6 +1246,49 @@ and \(out\) is a (batchSize x dataDim) output vector.<
+
+
+
cross_channel_norm
+
paddle.v2.layer is a part of model config packages in paddle.v2. In API v2,
+we want to make Paddle a plain Python package. The model config package defined
+the way how to configure a neural network topology in Paddle Python code.
+
The primary usage shows below.
+
import paddle.v2 as paddle
+
+img = paddle.layer.data(name='img', type=paddle.data_type.dense_vector(784))
+hidden = paddle.layer.fc(input=img, size=200)
+prediction = paddle.layer.fc(input=hidden, size=10,
+ act=paddle.activation.Softmax())
+
+# use prediction instance where needed.
+parameters = paddle.parameters.create(cost)
+
+
+
+-
+class
paddle.v2.layer.cross_channel_norm(*args, **kwargs)
+Normalize a layer’s output. This layer is necessary for ssd.
+This layer applys normalize across the channels of each sample to
+a conv layer’s output and scale the output by a group of trainable
+factors which dimensions equal to the channel’s number.
+
+
+
+
+| Parameters: |
+- name (basestring) – The Layer Name.
+- input (paddle.v2.config_base.Layer) – The input layer.
+- param_attr (paddle.v2.attr.ParameterAttribute) – The Parameter Attribute|list.
+
+ |
+
|---|
+| Returns: | paddle.v2.config_base.Layer
+ |
+
|---|
+
+
+
+
diff --git a/develop/doc/searchindex.js b/develop/doc/searchindex.js
index d5efe69b6a00fe1c3068bbe42c2a4dd2800b5428..29bbcb2a59c749cfb78d0b7d7a954c5def51fc7d 100644
--- a/develop/doc/searchindex.js
+++ b/develop/doc/searchindex.js
@@ -1 +1 @@
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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 db33a20487e579cda67a01c52ee646829df0f4e6..05817ec85455ac58566e90956a54cb86541f8488 100644
--- a/develop/doc_cn/_sources/api/v2/config/layer.rst.txt
+++ b/develop/doc_cn/_sources/api/v2/config/layer.rst.txt
@@ -109,6 +109,12 @@ sum_to_one_norm
:members: sum_to_one_norm
:noindex:
+cross_channel_norm
+------------------
+.. automodule:: paddle.v2.layer
+ :members: cross_channel_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 1cff7944c1ae2a9d92d4851fe81494702c827d00..f87fe6120a4d465f84a10f22c606eb6932daf163 100644
--- a/develop/doc_cn/api/v2/config/layer.html
+++ b/develop/doc_cn/api/v2/config/layer.html
@@ -210,6 +210,7 @@
- img_cmrnorm
- batch_norm
- sum_to_one_norm
+
- cross_channel_norm
- Recurrent Layers
@@ -1252,6 +1253,49 @@ and \(out\) is a (batchSize x dataDim) output vector.<
+
+
cross_channel_norm
+
paddle.v2.layer is a part of model config packages in paddle.v2. In API v2,
+we want to make Paddle a plain Python package. The model config package defined
+the way how to configure a neural network topology in Paddle Python code.
+
The primary usage shows below.
+
import paddle.v2 as paddle
+
+img = paddle.layer.data(name='img', type=paddle.data_type.dense_vector(784))
+hidden = paddle.layer.fc(input=img, size=200)
+prediction = paddle.layer.fc(input=hidden, size=10,
+ act=paddle.activation.Softmax())
+
+# use prediction instance where needed.
+parameters = paddle.parameters.create(cost)
+
+
+
+-
+class
paddle.v2.layer.cross_channel_norm(*args, **kwargs)
+Normalize a layer’s output. This layer is necessary for ssd.
+This layer applys normalize across the channels of each sample to
+a conv layer’s output and scale the output by a group of trainable
+factors which dimensions equal to the channel’s number.
+
+
+
+
+| εζ°: |
+- name (basestring) – The Layer Name.
+- input (paddle.v2.config_base.Layer) – The input layer.
+- param_attr (paddle.v2.attr.ParameterAttribute) – The Parameter Attribute|list.
+
+ |
+
|---|
+| θΏε: | paddle.v2.config_base.Layer
+ |
+
|---|
+
+
+
+
diff --git a/develop/doc_cn/searchindex.js b/develop/doc_cn/searchindex.js
index 58999b5554afc996b2abc647b464c3e78236c7f7..3ca470941f266eece1a5f36b533a0ca31d4576b3 100644
--- a/develop/doc_cn/searchindex.js
+++ b/develop/doc_cn/searchindex.js
@@ -1 +1 @@
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