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7eb19abc
编写于
1月 25, 2018
作者:
Y
yangyaming
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python/paddle/v2/fluid/layers/nn.py
python/paddle/v2/fluid/layers/nn.py
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python/paddle/v2/fluid/layers/nn.py
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@@ -2714,21 +2714,21 @@ def multiplex(inputs, index):
"""
**Multiplex Layer**
Referring to the given index variable, this layer
gathers from the input
variables to output a multiplex variable. Assuming that there are :math:`m`
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 shap
e
[: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 treated as a
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
: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]` b
e
the i-th index value of the index variable. Then the output variable will
be a tensor with shape [:math:`d_0`, :math:`d_1`, ..., :math:`d_R`]. If we
treat the output tensor as a 2-D matrix with shape [:math:`M`, :math:`N`]
and let :math:`O[i]` be the i-th row of the matrix, then `O[i]` is equal to
:math:`I_{ID[i]}[i]`.
Referring to the given index variable, this layer
selects rows from the
input variables to construct a multiplex variable. Assuming that there are
:math:`m` input variables and :math:`I_i` represents the i-th input
variable and :math:`i` is in [0, :math:`m`). All input variables ar
e
tensors with same shape [: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 treated as a 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 :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 shap
e
[:math:`M`, 1]. Let `ID[i]` be the i-th index value of the index variable.
Then the output variable will be a tensor with shape [:math:`d_0`,
:math:`d_1`, ..., :math:`d_R`]. If we treat the output tensor as a 2-D
matrix with shape [:math:`M`, :math:`N`] and let :math:`O[i]` be the i-th
row of the matrix, then `O[i]` is equal to
:math:`I_{ID[i]}[i]`.
Args:
inputs (list): A list of variables to gather from. All variables have the
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