From 2036deaa412e46773b3ffad1de20fef6ad9db1cc Mon Sep 17 00:00:00 2001 From: Travis CI Date: Tue, 12 Dec 2017 06:15:30 +0000 Subject: [PATCH] Deploy to GitHub Pages: 7902ad653c6b2991f1f30131d8f8168bd0b1fb09 --- develop/doc/api/v2/config/layer.html | 184 +++++++----------------- develop/doc/searchindex.js | 2 +- develop/doc_cn/api/v2/config/layer.html | 184 +++++++----------------- develop/doc_cn/searchindex.js | 2 +- 4 files changed, 100 insertions(+), 272 deletions(-) diff --git a/develop/doc/api/v2/config/layer.html b/develop/doc/api/v2/config/layer.html index a3e5fc00c98..d1b11556781 100644 --- a/develop/doc/api/v2/config/layer.html +++ b/develop/doc/api/v2/config/layer.html @@ -698,34 +698,19 @@ details.
class paddle.v2.layer.img_pool
-
-

Image pooling Layer.

+

Image pooling Layer.

The details of pooling layer, please refer to ufldl’s pooling .

  • ceil_mode=True:
-\[w = 1 +\]
-
-
-
rac{ceil(input_width + 2 * padding - pool_size)}{stride} \
-
h = 1 +
-
-

rac{ceil(input_height + 2 * padding_y - pool_size_y)}{stride_y}

-
-
    +\[ \begin{align}\begin{aligned}w & = 1 + \frac{ceil(input\_width + 2 * padding - pool\_size)}{stride}\\h & = 1 + \frac{ceil(input\_height + 2 * padding\_y - pool\_size\_y)}{stride\_y}\end{aligned}\end{align} \]
+
  • ceil_mode=False:
-\[w = 1 +\]
-
-
-
rac{floor(input_width + 2 * padding - pool_size)}{stride} \
-
h = 1 +
-
-

rac{floor(input_height + 2 * padding_y - pool_size_y)}{stride_y}

-
-

The example usage is:

+\[ \begin{align}\begin{aligned}w & = 1 + \frac{floor(input\_width + 2 * padding - pool\_size)}{stride}\\h & = 1 + \frac{floor(input\_height + 2 * padding\_y - pool\_size\_y)}{stride\_y}\end{aligned}\end{align} \]
+

The example usage is:

maxpool = img_pool(input=conv,
                          pool_size=3,
                          pool_size_y=5,
@@ -741,87 +726,43 @@ details.
 
 
 
-param padding:The padding size on the x axis. 0 is the default padding size.
-
-type padding:int
-
-param padding_y:
- The padding size on the y axis. If the parameter is not set
-or set to None, it will be set to ‘padding’ automatically.
-
-param name:The name of this layer. It is optional.
-
-type name:basestring
-
-param input:The input of this layer.
-
-type input:paddle.v2.config_base.Layer
-
-param pool_size:
- The pooling window length on the x axis.
-
-type pool_size:int
-
-param pool_size_y:
- The pooling window length on the y axis. If the parameter is
+Parameters:
    
+
  • padding (int) – The padding size on the x axis. 0 is the default padding size.
    • 
+
  • padding_y – The padding size on the y axis. If the parameter is not set
+or set to None, it will be set to ‘padding’ automatically.
    • 
+
  • name (basestring) – The name of this layer. It is optional.
    • 
+
  • input (paddle.v2.config_base.Layer) – The input of this layer.
    • 
+
  • pool_size (int) – The pooling window length on the x axis.
    • 
+
  • pool_size_y (int) – The pooling window length on the y axis. If the parameter is
 not set or set to None, its actual value will be automatically
-set to pool_size.
-
-type pool_size_y:
- int
-
-param num_channels:
- The number of input channels. If the parameter is not set or
+set to pool_size.
    • 
+
  • num_channels (int) – The number of input channels. If the parameter is not set or
 set to None, its actual value will be automatically set to
-the channels number of the input.
-
-type num_channels:
- int
-
-param pool_type:
- Pooling type. MaxPooling is the default pooling.
-
-type pool_type:BasePoolingType
-
-param stride:The stride on the x axis. 1 is the default value.
-
-type stride:int
-
-param stride_y:The stride on the y axis. If the parameter is not set or set to
-None, its actual value will be automatically set to ‘stride’.
-
-type stride_y:int
-
-param layer_attr:
- The extra layer attribute. See paddle.v2.attr.ExtraAttribute for
-details.
-
-type layer_attr:
- paddle.v2.attr.ExtraAttribute
-
-param ceil_mode:
- Whether to use the ceil function to calculate output height and width.
+the channels number of the input.
    • 
+
  • pool_type (BasePoolingType) – Pooling type. MaxPooling is the default pooling.
    • 
+
  • stride (int) – The stride on the x axis. 1 is the default value.
    • 
+
  • stride_y (int) – The stride on the y axis. If the parameter is not set or set to
+None, its actual value will be automatically set to ‘stride’.
    • 
+
  • layer_attr (paddle.v2.attr.ExtraAttribute) – The extra layer attribute. See paddle.v2.attr.ExtraAttribute for
+details.
    • 
+
  • ceil_mode (bool) – Whether to use the ceil function to calculate output height and width.
 True is the default. If it is set to False, the floor function will
-be used.
-
-type ceil_mode:bool
-
-param exclude_mode:
- Whether to exclude the padding cells when calculating, but only
+be used.
    • 
+
  • exclude_mode (bool) – Whether to exclude the padding cells when calculating, but only
 work when pool_type is AvgPooling. If None, also exclude the padding
 cells. If use cudnn, use CudnnAvgPooling or CudnnAvgInclPadPooling
-as pool_type to identify the mode.
-
-type exclude_mode:
- bool
+as pool_type to identify the mode.
    • 
+

+
 
-return:paddle.v2.config_base.Layer object.
+Returns:
paddle.v2.config_base.Layer object.

+
 
-rtype:paddle.v2.config_base.Layer
+Return type:
paddle.v2.config_base.Layer

+
 
 
 
-
@@ -875,8 +816,7 @@ details.
class paddle.v2.layer.maxout
-
-
+
A layer to do max out on convolutional layer output.
-\[\begin{split}out = \max_k (in[n, k, o_c , s]) \\ -out_{i * s + j} = \max_k in_{ k * o_{c} * s + i * s + j} \\ -s =\end{split}\]
-
-
-
rac{input.size}{ num_channels} \
-
o_{c} =
-
rac{num_channels}{groups} \
-
-
0 le i < o_{c} \ -0 le j < s \ -0 le k < groups \
+\[ \begin{align}\begin{aligned}& out = \max_k (in[n, k, o_c , s])\\& out_{i * s + j} = \max_k in_{ k * o_{c} * s + i * s + j}\\& s = \frac{input.size}{ num\_channels}\\& o_{c} = \frac{num\_channels}{groups}\\& 0 \le i < o_{c}\\& 0 \le j < s\\& 0 \le k < groups\end{aligned}\end{align} \]

The simple usage is:

maxout = maxout(input,
                       num_channels=128,
                       groups=4)
- +
- - - - - - - - - - - - - - - - - - - - - - - +the channels number of the input. +
  • groups (int) – The group number of input layer.
    • +
  • name (basestring) – The name of this layer. It is optional.
    • +
  • layer_attr (paddle.v2.attr.ExtraAttribute) – The extra layer attribute. See paddle.v2.attr.ExtraAttribute for +details.
    • + + - + - +
    param input:The input of this layer.
    type input:paddle.v2.config_base.Layer
    param num_channels:
     The number of input channels. If the parameter is not set or +
    Parameters:
      +
    • input (paddle.v2.config_base.Layer) – The input of this layer.
      • +
    • num_channels (int) – The number of input channels. If the parameter is not set or set to None, its actual value will be automatically set to -the channels number of the input.
    type num_channels:
     int
    param groups:The group number of input layer.
    type groups:int
    param name:The name of this layer. It is optional.
    type name:basestring
    param layer_attr:
     The extra layer attribute. See paddle.v2.attr.ExtraAttribute for -details.
    type layer_attr:
     paddle.v2.attr.ExtraAttribute
    return:paddle.v2.config_base.Layer object.
    Returns:

    paddle.v2.config_base.Layer object.

    +
    rtype:paddle.v2.config_base.Layer
    Return type:

    paddle.v2.config_base.Layer

    +
    -
    -
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\ No newline at end of file diff --git a/develop/doc_cn/api/v2/config/layer.html b/develop/doc_cn/api/v2/config/layer.html index 15f4137d084..0a5a38a26bd 100644 --- a/develop/doc_cn/api/v2/config/layer.html +++ b/develop/doc_cn/api/v2/config/layer.html @@ -699,34 +699,19 @@ details.
    class paddle.v2.layer.img_pool
    -
    -

    Image pooling Layer.

    +

    Image pooling Layer.

    The details of pooling layer, please refer to ufldl’s pooling .

    • ceil_mode=True:
    -\[w = 1 +\]
    -
    -
    -
    rac{ceil(input_width + 2 * padding - pool_size)}{stride} \
    -
    h = 1 +
    -
    -

    rac{ceil(input_height + 2 * padding_y - pool_size_y)}{stride_y}

    -
    -
      +\[ \begin{align}\begin{aligned}w & = 1 + \frac{ceil(input\_width + 2 * padding - pool\_size)}{stride}\\h & = 1 + \frac{ceil(input\_height + 2 * padding\_y - pool\_size\_y)}{stride\_y}\end{aligned}\end{align} \]
    +
    • ceil_mode=False:
    -\[w = 1 +\]
    -
    -
    -
    rac{floor(input_width + 2 * padding - pool_size)}{stride} \
    -
    h = 1 +
    -
    -

    rac{floor(input_height + 2 * padding_y - pool_size_y)}{stride_y}

    -
    -

    The example usage is:

    +\[ \begin{align}\begin{aligned}w & = 1 + \frac{floor(input\_width + 2 * padding - pool\_size)}{stride}\\h & = 1 + \frac{floor(input\_height + 2 * padding\_y - pool\_size\_y)}{stride\_y}\end{aligned}\end{align} \]
    +

    The example usage is:

    maxpool = img_pool(input=conv,
                          pool_size=3,
                          pool_size_y=5,
@@ -742,87 +727,43 @@ details.
 
 
 
-param padding:The padding size on the x axis. 0 is the default padding size.
-
-type padding:int
-
-param padding_y:
- The padding size on the y axis. If the parameter is not set
-or set to None, it will be set to ‘padding’ automatically.
-
-param name:The name of this layer. It is optional.
-
-type name:basestring
-
-param input:The input of this layer.
-
-type input:paddle.v2.config_base.Layer
-
-param pool_size:
- The pooling window length on the x axis.
-
-type pool_size:int
-
-param pool_size_y:
- The pooling window length on the y axis. If the parameter is
+参数:
      
+
    • padding (int) – The padding size on the x axis. 0 is the default padding size.
      • 
+
    • padding_y – The padding size on the y axis. If the parameter is not set
+or set to None, it will be set to ‘padding’ automatically.
      • 
+
    • name (basestring) – The name of this layer. It is optional.
      • 
+
    • input (paddle.v2.config_base.Layer) – The input of this layer.
      • 
+
    • pool_size (int) – The pooling window length on the x axis.
      • 
+
    • pool_size_y (int) – The pooling window length on the y axis. If the parameter is
 not set or set to None, its actual value will be automatically
-set to pool_size.
-
-type pool_size_y:
- int
-
-param num_channels:
- The number of input channels. If the parameter is not set or
+set to pool_size.
      • 
+
    • num_channels (int) – The number of input channels. If the parameter is not set or
 set to None, its actual value will be automatically set to
-the channels number of the input.
-
-type num_channels:
- int
-
-param pool_type:
- Pooling type. MaxPooling is the default pooling.
-
-type pool_type:BasePoolingType
-
-param stride:The stride on the x axis. 1 is the default value.
-
-type stride:int
-
-param stride_y:The stride on the y axis. If the parameter is not set or set to
-None, its actual value will be automatically set to ‘stride’.
-
-type stride_y:int
-
-param layer_attr:
- The extra layer attribute. See paddle.v2.attr.ExtraAttribute for
-details.
-
-type layer_attr:
- paddle.v2.attr.ExtraAttribute
-
-param ceil_mode:
- Whether to use the ceil function to calculate output height and width.
+the channels number of the input.
      • 
+
    • pool_type (BasePoolingType) – Pooling type. MaxPooling is the default pooling.
      • 
+
    • stride (int) – The stride on the x axis. 1 is the default value.
      • 
+
    • stride_y (int) – The stride on the y axis. If the parameter is not set or set to
+None, its actual value will be automatically set to ‘stride’.
      • 
+
    • layer_attr (paddle.v2.attr.ExtraAttribute) – The extra layer attribute. See paddle.v2.attr.ExtraAttribute for
+details.
      • 
+
    • ceil_mode (bool) – Whether to use the ceil function to calculate output height and width.
 True is the default. If it is set to False, the floor function will
-be used.
-
-type ceil_mode:bool
-
-param exclude_mode:
- Whether to exclude the padding cells when calculating, but only
+be used.
      • 
+
    • exclude_mode (bool) – Whether to exclude the padding cells when calculating, but only
 work when pool_type is AvgPooling. If None, also exclude the padding
 cells. If use cudnn, use CudnnAvgPooling or CudnnAvgInclPadPooling
-as pool_type to identify the mode.
-
-type exclude_mode:
- bool
+as pool_type to identify the mode.
      • 
+
    
+
 
-return:paddle.v2.config_base.Layer object.
+返回:
    paddle.v2.config_base.Layer object.
    
+
 
-rtype:paddle.v2.config_base.Layer
+返回类型:
    paddle.v2.config_base.Layer
    
+
 
 
 
-
    @@ -876,8 +817,7 @@ details.
    class paddle.v2.layer.maxout
    -
    -
    +
    A layer to do max out on convolutional layer output.
    -\[\begin{split}out = \max_k (in[n, k, o_c , s]) \\ -out_{i * s + j} = \max_k in_{ k * o_{c} * s + i * s + j} \\ -s =\end{split}\]
    -
    -
    -
    rac{input.size}{ num_channels} \
    -
    o_{c} =
    -
    rac{num_channels}{groups} \
    -
    -
    0 le i < o_{c} \ -0 le j < s \ -0 le k < groups \
    +\[ \begin{align}\begin{aligned}& out = \max_k (in[n, k, o_c , s])\\& out_{i * s + j} = \max_k in_{ k * o_{c} * s + i * s + j}\\& s = \frac{input.size}{ num\_channels}\\& o_{c} = \frac{num\_channels}{groups}\\& 0 \le i < o_{c}\\& 0 \le j < s\\& 0 \le k < groups\end{aligned}\end{align} \]

    The simple usage is:

    maxout = maxout(input,
                       num_channels=128,
                       groups=4)
    - +
    - - - - - - - - - - - - - - - - - - - - - - - +the channels number of the input. +
  • groups (int) – The group number of input layer.
    • +
  • name (basestring) – The name of this layer. It is optional.
    • +
  • layer_attr (paddle.v2.attr.ExtraAttribute) – The extra layer attribute. See paddle.v2.attr.ExtraAttribute for +details.
    • + + - + - +
    param input:The input of this layer.
    type input:paddle.v2.config_base.Layer
    param num_channels:
     The number of input channels. If the parameter is not set or +
    参数:
      +
    • input (paddle.v2.config_base.Layer) – The input of this layer.
      • +
    • num_channels (int) – The number of input channels. If the parameter is not set or set to None, its actual value will be automatically set to -the channels number of the input.
    type num_channels:
     int
    param groups:The group number of input layer.
    type groups:int
    param name:The name of this layer. It is optional.
    type name:basestring
    param layer_attr:
     The extra layer attribute. See paddle.v2.attr.ExtraAttribute for -details.
    type layer_attr:
     paddle.v2.attr.ExtraAttribute
    return:paddle.v2.config_base.Layer object.
    返回:

    paddle.v2.config_base.Layer object.

    +
    rtype:paddle.v2.config_base.Layer
    返回类型:

    paddle.v2.config_base.Layer

    +
    -
    -
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