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9223c919
编写于
2月 16, 2018
作者:
T
Travis CI
浏览文件
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电子邮件补丁
差异文件
Deploy to GitHub Pages:
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2 changed file
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6 addition
and
6 deletion
+6
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develop/api_doc/searchindex.js
develop/api_doc/searchindex.js
+1
-1
develop/api_doc/v2/fluid/layers.html
develop/api_doc/v2/fluid/layers.html
+5
-5
未找到文件。
develop/api_doc/searchindex.js
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9223c919
此差异已折叠。
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develop/api_doc/v2/fluid/layers.html
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9223c919
...
...
@@ -1151,7 +1151,7 @@ with zeros whenever lookup encounters it in <code class="xref py py-attr docutil
<span
class=
"math"
>
\(padding_idx
<
0\)
</span>
, the padding_idx to use in lookup is
<span
class=
"math"
>
\(size[0] + dim\)
</span>
.
</li>
<li><strong>
param_attr
</strong>
(
<em>
ParamAttr
</em>
)
–
Parameters for this layer
</li>
<li><strong>
dtype
</strong>
(
<em>
np.dtype|core.
Data
Type|str
</em>
)
–
The type of data : float32, float_16, int etc
</li>
<li><strong>
dtype
</strong>
(
<em>
np.dtype|core.
VarDesc.Var
Type|str
</em>
)
–
The type of data : float32, float_16, int etc
</li>
</ul>
</td>
</tr>
...
...
@@ -4678,7 +4678,7 @@ obtained from the <cite>input</cite> tensor.</p>
<tr
class=
"field-odd field"
><th
class=
"field-name"
>
Parameters:
</th><td
class=
"field-body"
><ul
class=
"first simple"
>
<li><strong>
input
</strong>
(
<em>
Variable
</em>
)
–
Tensor whose dimensions will be used to get batch size
</li>
<li><strong>
shape
</strong>
(
<em>
tuple|list|None
</em>
)
–
Shape of output tensor
</li>
<li><strong>
dtype
</strong>
(
<em>
np.dtype|core.
Data
Type|str
</em>
)
–
Data type of output tensor
</li>
<li><strong>
dtype
</strong>
(
<em>
np.dtype|core.
VarDesc.Var
Type|str
</em>
)
–
Data type of output tensor
</li>
<li><strong>
value
</strong>
(
<em>
float
</em>
)
–
Constant value to initialize the output tensor
</li>
<li><strong>
input_dim_idx
</strong>
(
<em>
int
</em>
)
–
Index of input
’
s batch size dimension
</li>
<li><strong>
output_dim_idx
</strong>
(
<em>
int
</em>
)
–
Index of output
’
s batch size dimension
</li>
...
...
@@ -4716,7 +4716,7 @@ initializes it with a constant specifed by <cite>value</cite>.</p>
<tbody
valign=
"top"
>
<tr
class=
"field-odd field"
><th
class=
"field-name"
>
Parameters:
</th><td
class=
"field-body"
><ul
class=
"first simple"
>
<li><strong>
shape
</strong>
(
<em>
tuple|list|None
</em>
)
–
Shape of the output tensor.
</li>
<li><strong>
dtype
</strong>
(
<em>
np.dtype|core.
Data
Type|str
</em>
)
–
Data type of the output tensor.
</li>
<li><strong>
dtype
</strong>
(
<em>
np.dtype|core.
VarDesc.Var
Type|str
</em>
)
–
Data type of the output tensor.
</li>
<li><strong>
value
</strong>
(
<em>
float
</em>
)
–
The constant value used to initialize the output tensor.
</li>
<li><strong>
out
</strong>
(
<em>
Variable
</em>
)
–
The output tensor.
</li>
<li><strong>
force_cpu
</strong>
(
<em>
True|False
</em>
)
–
data should be on CPU if set true.
</li>
...
...
@@ -4753,7 +4753,7 @@ initializes it with a constant specifed by <cite>value</cite>.</p>
<tbody
valign=
"top"
>
<tr
class=
"field-odd field"
><th
class=
"field-name"
>
Parameters:
</th><td
class=
"field-body"
><ul
class=
"first simple"
>
<li><strong>
shape
</strong>
(
<em>
tuple|list|None
</em>
)
–
Shape of output tensor
</li>
<li><strong>
dtype
</strong>
(
<em>
np.dtype|core.
Data
Type|str
</em>
)
–
Data type of output tensor
</li>
<li><strong>
dtype
</strong>
(
<em>
np.dtype|core.
VarDesc.Var
Type|str
</em>
)
–
Data type of output tensor
</li>
</ul>
</td>
</tr>
...
...
@@ -4787,7 +4787,7 @@ initializes it with a constant specifed by <cite>value</cite>.</p>
<tbody
valign=
"top"
>
<tr
class=
"field-odd field"
><th
class=
"field-name"
>
Parameters:
</th><td
class=
"field-body"
><ul
class=
"first simple"
>
<li><strong>
shape
</strong>
(
<em>
tuple|list|None
</em>
)
–
Shape of output tensor
</li>
<li><strong>
dtype
</strong>
(
<em>
np.dtype|core.
Data
Type|str
</em>
)
–
Data type of output tensor
</li>
<li><strong>
dtype
</strong>
(
<em>
np.dtype|core.
VarDesc.Var
Type|str
</em>
)
–
Data type of output tensor
</li>
</ul>
</td>
</tr>
...
...
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