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3e177b9d
编写于
5月 30, 2018
作者:
W
walloollaw
提交者:
qingqing01
5月 30, 2018
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电子邮件补丁
差异文件
ISSUE-10996: support name setting for layers topk/softmax/concat/dropout (#10999)
上级
60783a75
变更
2
隐藏空白更改
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并排
Showing
2 changed file
with
10 addition
and
4 deletion
+10
-4
python/paddle/fluid/layers/nn.py
python/paddle/fluid/layers/nn.py
+7
-3
python/paddle/fluid/layers/tensor.py
python/paddle/fluid/layers/tensor.py
+3
-1
未找到文件。
python/paddle/fluid/layers/nn.py
浏览文件 @
3e177b9d
...
...
@@ -855,7 +855,7 @@ def cos_sim(X, Y):
return
out
def
dropout
(
x
,
dropout_prob
,
is_test
=
False
,
seed
=
None
):
def
dropout
(
x
,
dropout_prob
,
is_test
=
False
,
seed
=
None
,
name
=
None
):
"""
Computes dropout.
...
...
@@ -873,6 +873,8 @@ def dropout(x, dropout_prob, is_test=False, seed=None):
parameter is set to None, a random seed is used.
NOTE: If an integer seed is given, always the same output
units will be dropped. DO NOT use a fixed seed in training.
name(str|None): A name for this layer(optional). If set None, the layer
will be named automatically.
Returns:
Variable: A tensor variable.
...
...
@@ -1117,7 +1119,7 @@ def sequence_softmax(input, param_attr=None, bias_attr=None, use_cudnn=True):
return
softmax_out
def
softmax
(
input
,
param_attr
=
None
,
bias_attr
=
None
,
use_cudnn
=
True
):
def
softmax
(
input
,
param_attr
=
None
,
bias_attr
=
None
,
use_cudnn
=
True
,
name
=
None
):
helper
=
LayerHelper
(
'softmax'
,
**
locals
())
dtype
=
helper
.
input_dtype
()
softmax_out
=
helper
.
create_tmp_variable
(
dtype
)
...
...
@@ -2610,7 +2612,7 @@ def matmul(x, y, transpose_x=False, transpose_y=False, name=None):
return
out
def
topk
(
input
,
k
):
def
topk
(
input
,
k
,
name
=
None
):
"""
This operator is used to find values and indices of the k largest entries
for the last dimension.
...
...
@@ -2626,6 +2628,8 @@ def topk(input, k):
input(Variable): The input variable which can be a vector or Tensor with
higher rank.
k(int): An integer value to specify the top k largest elements.
name(str|None): A name for this layer(optional). If set None, the layer
will be named automatically.
Returns:
values(Variable): The k largest elements along each last dimensional
...
...
python/paddle/fluid/layers/tensor.py
浏览文件 @
3e177b9d
...
...
@@ -112,7 +112,7 @@ def cast(x, dtype):
return
out
def
concat
(
input
,
axis
=
0
):
def
concat
(
input
,
axis
=
0
,
name
=
None
):
"""
**Concat**
...
...
@@ -122,6 +122,8 @@ def concat(input, axis=0):
Args:
input(list): List of tensors to be concatenated
axis(int): Integer axis along which the tensors will be concatenated
name(str|None): A name for this layer(optional). If set None, the layer
will be named automatically.
Returns:
Variable: Output variable of the concatenation
...
...
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