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3529c6c3
编写于
2月 13, 2017
作者:
Y
Yi Wang
浏览文件
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电子邮件补丁
差异文件
Put all layers and costs in package paddle.layer
上级
8b70f0f3
变更
1
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1 changed file
with
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and
13 deletion
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-13
doc/design/api.md
doc/design/api.md
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-13
未找到文件。
doc/design/api.md
浏览文件 @
3529c6c3
...
@@ -59,9 +59,9 @@ fA = f(paddle.layer.data(input_name="A"))
...
@@ -59,9 +59,9 @@ fA = f(paddle.layer.data(input_name="A"))
fB
=
f
(
paddle
.
layer
.
data
(
input_name
=
"B"
))
fB
=
f
(
paddle
.
layer
.
data
(
input_name
=
"B"
))
fQ
=
f
(
paddle
.
layer
.
data
(
input_name
=
"Q"
))
fQ
=
f
(
paddle
.
layer
.
data
(
input_name
=
"Q"
))
topology
=
paddle
.
cost
.
less_than
(
topology
=
paddle
.
layer
.
less_than
(
paddle
.
cost
.
cross_entropy
(
fA
,
fQ
),
paddle
.
layer
.
cross_entropy
(
fA
,
fQ
),
paddle
.
cost
.
corss_entropy
(
fB
,
fQ
))
paddle
.
layer
.
corss_entropy
(
fB
,
fQ
))
# Derive parameters required in topology and create them in model.
# Derive parameters required in topology and create them in model.
parameters
=
paddle
.
parameters
.
create
(
topology
)
parameters
=
paddle
.
parameters
.
create
(
topology
)
...
@@ -94,12 +94,12 @@ def D(in);
...
@@ -94,12 +94,12 @@ def D(in);
# Construct the first topology, which contains both D and G.
# Construct the first topology, which contains both D and G.
# By learning this topology, we update parameters of G.
# By learning this topology, we update parameters of G.
d0
=
paddle
.
cost
.
should_be_false
(
D
(
G
(
paddle
.
layer
.
data
())))
d0
=
paddle
.
layer
.
should_be_false
(
D
(
G
(
paddle
.
layer
.
data
())))
# Construct a second topology d1, which contains only D. By
# Construct a second topology d1, which contains only D. By
# training this topology, we update parameters of D. Note
# training this topology, we update parameters of D. Note
# that d1 share parameters with d0.
# that d1 share parameters with d0.
d1
=
paddle
.
cost
.
should_be_true
(
D
(
paddle
.
layer
.
data
()))
d1
=
paddle
.
layer
.
should_be_true
(
D
(
paddle
.
layer
.
data
()))
# Create parameters from a list of multiple topologies (models) for
# Create parameters from a list of multiple topologies (models) for
# the chance to share parameters between these topologies.
# the chance to share parameters between these topologies.
...
...
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