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a249c0ca
编写于
1月 24, 2018
作者:
Y
yangyaming
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电子邮件补丁
差异文件
Refine doc and fix dtype.
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8314412b
变更
1
隐藏空白更改
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1 changed file
with
14 addition
and
9 deletion
+14
-9
python/paddle/v2/fluid/layers/nn.py
python/paddle/v2/fluid/layers/nn.py
+14
-9
未找到文件。
python/paddle/v2/fluid/layers/nn.py
浏览文件 @
a249c0ca
...
@@ -2719,22 +2719,22 @@ def multiplex(inputs, index):
...
@@ -2719,22 +2719,22 @@ def multiplex(inputs, index):
input variables and let :math:`I_i` represents the i-th input variable and i
input variables and let :math:`I_i` represents the i-th input variable and i
is in [0, :math:`m`). All input variables are tensors with same shape
is in [0, :math:`m`). All input variables are tensors with same shape
[:math:`d_0`, :math:`d_1`, ..., :math:`d_R`]. Please note that rank of the
[:math:`d_0`, :math:`d_1`, ..., :math:`d_R`]. Please note that rank of the
input tensor should be at least 2. Each input variable will be
view
ed as a
input tensor should be at least 2. Each input variable will be
treat
ed as a
2-D matrix with shape [:math:`M`, :math:`N`] where :math:`M` for :math:`d_0`
2-D matrix with shape [:math:`M`, :math:`N`] where :math:`M` for :math:`d_0`
and :math:`N` for :math:`d_1` * :math:`d_2` * ... * :math:`d_R`. Let
and :math:`N` for :math:`d_1` * :math:`d_2` * ... * :math:`d_R`. Let
:math:`I_i[j]` be the j-th row of the i-th input variable. The given index
:math:`I_i[j]` be the j-th row of the i-th input variable. The given index
variable should be a 2-D tensor with shape [:math:`M`, 1]. Let `ID[i]` be
variable should be a 2-D tensor with shape [:math:`M`, 1]. Let `ID[i]` be
the i-th index value of
index variable. Then the output variable will be a
the i-th index value of
the index variable. Then the output variable will
tensor with shape [:math:`d_0`, :math:`d_1`, ..., :math:`d_R`]. If we view
be a tensor with shape [:math:`d_0`, :math:`d_1`, ..., :math:`d_R`]. If we
t
he output tensor as a 2-D matrix with shape [:math:`M`, :math:`N`] and let
t
reat the output tensor as a 2-D matrix with shape [:math:`M`, :math:`N`]
:math:`O[i]` be the i-th row of the matrix, then values of `O[i]` come from
and let :math:`O[i]` be the i-th row of the matrix, then `O[i]` is equal to
:math:`I_{ID[i]}[i]`.
:math:`I_{ID[i]}[i]`.
Args:
Args:
inputs (list):
Input variables which are tensors with same shape and
the
inputs (list):
A list of variables to gather from. All variables have
the
rank is at least 2.
same shape and the
rank is at least 2.
index (Variable): Tensor<int32>, index variable which is a 2-D tensor
index (Variable): Tensor<int32>, index variable which is a 2-D tensor
with shape [M, 1] where M
for
batch size.
with shape [M, 1] where M
is the
batch size.
Returns:
Returns:
Variable: Multiplex variable gathered from input variables.
Variable: Multiplex variable gathered from input variables.
...
@@ -2748,7 +2748,12 @@ def multiplex(inputs, index):
...
@@ -2748,7 +2748,12 @@ def multiplex(inputs, index):
out = fluid.layers.multiplex(inputs=[x1, x2], index=index)
out = fluid.layers.multiplex(inputs=[x1, x2], index=index)
"""
"""
helper
=
LayerHelper
(
'multiplex'
,
**
locals
())
helper
=
LayerHelper
(
'multiplex'
,
**
locals
())
out
=
helper
.
create_tmp_variable
(
helper
.
input_dtype
())
if
not
isinstance
(
inputs
,
list
)
and
len
(
inputs
)
<
2
:
raise
ValueError
(
"inputs should be a list object and contains at least "
"2 elements."
)
out
=
helper
.
create_tmp_variable
(
inputs
[
0
].
dtype
)
helper
.
append_op
(
helper
.
append_op
(
type
=
'multiplex'
,
type
=
'multiplex'
,
inputs
=
{
'X'
:
inputs
,
inputs
=
{
'X'
:
inputs
,
...
...
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