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体验新版 GitCode,发现更多精彩内容 >>
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f3fc8de1
编写于
12月 22, 2017
作者:
L
Luo Tao
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差异文件
add doc for sequence_first/last_step
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doc/api/v2/fluid/layers.rst
doc/api/v2/fluid/layers.rst
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python/paddle/v2/fluid/layers/nn.py
python/paddle/v2/fluid/layers/nn.py
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未找到文件。
doc/api/v2/fluid/layers.rst
浏览文件 @
f3fc8de1
...
...
@@ -170,6 +170,18 @@ sequence_pool
:noindex:
sequence_first_step
-------------------
.. autofunction:: paddle.v2.fluid.layers.sequence_first_step
:noindex:
sequence_last_step
------------------
.. autofunction:: paddle.v2.fluid.layers.sequence_last_step
:noindex:
pool2d
---------
.. autofunction:: paddle.v2.fluid.layers.pool2d
...
...
python/paddle/v2/fluid/layers/nn.py
浏览文件 @
f3fc8de1
...
...
@@ -584,10 +584,68 @@ def sequence_pool(input, pool_type, **kwargs):
def
sequence_first_step
(
input
,
**
kwargs
):
"""
This funciton get the first step of sequence.
.. code-block:: text
x is a 1-level LoDTensor:
x.lod = [[0, 2, 5, 7]]
x.data = [1, 3, 2, 4, 6, 5, 1]
x.dims = [7, 1]
then output is a Tensor:
out.dim = [3, 1]
with condition len(x.lod[-1]) - 1 == out.dims[0]
out.data = [1, 2, 5], where 1=first(1,3), 2=first(2,4,6), 5=first(5,1)
Args:
input(variable): The input variable which is a LoDTensor.
Returns:
The sequence's first step variable which is a Tensor.
Examples:
.. code-block:: python
x = fluid.layers.data(name='x', shape=[7, 1],
dtype='float32', lod_level=1)
x_first_step = fluid.layers.sequence_first_step(input=x)
"""
return
sequence_pool
(
input
=
input
,
pool_type
=
"first"
)
def
sequence_last_step
(
input
,
**
kwargs
):
"""
This funciton get the last step of sequence.
.. code-block:: text
x is a 1-level LoDTensor:
x.lod = [[0, 2, 5, 7]]
x.data = [1, 3, 2, 4, 6, 5, 1]
x.dims = [7, 1]
then output is a Tensor:
out.dim = [3, 1]
with condition len(x.lod[-1]) - 1 == out.dims[0]
out.data = [3, 6, 1], where 3=last(1,3), 6=last(2,4,6), 1=last(5,1)
Args:
input(variable): The input variable which is a LoDTensor.
Returns:
The sequence's last step variable which is a Tensor.
Examples:
.. code-block:: python
x = fluid.layers.data(name='x', shape=[7, 1],
dtype='float32', lod_level=1)
x_last_step = fluid.layers.sequence_last_step(input=x)
"""
return
sequence_pool
(
input
=
input
,
pool_type
=
"last"
)
...
...
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