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体验新版 GitCode,发现更多精彩内容 >>
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bfa2621f
编写于
1月 16, 2019
作者:
X
Xin Pan
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
fix bias
test=develop
上级
9a4314f0
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
24 addition
and
21 deletion
+24
-21
python/paddle/fluid/imperative/nn.py
python/paddle/fluid/imperative/nn.py
+6
-8
python/paddle/fluid/layer_helper.py
python/paddle/fluid/layer_helper.py
+1
-2
python/paddle/fluid/tests/unittests/test_imperative_gan.py
python/paddle/fluid/tests/unittests/test_imperative_gan.py
+17
-11
未找到文件。
python/paddle/fluid/imperative/nn.py
浏览文件 @
bfa2621f
...
...
@@ -221,13 +221,10 @@ class FC(layers.Layer):
from
..layer_helper
import
LayerHelper
self
.
_helper
=
LayerHelper
(
'FC'
,
param_attr
=
param_attr
,
act
=
act
,
name
=
name
)
self
.
_bias_attr
=
bias_attr
self
.
_bias_attr
=
bias_attr
if
bias_attr
else
ParamAttr
()
def
parameters
(
self
):
if
self
.
_bias_attr
:
return
[
self
.
_w
,
self
.
_b
]
else
:
return
[
self
.
_w
]
return
[
self
.
_w
,
self
.
_b
]
def
_build_once
(
self
,
input
):
input_shape
=
input
.
shape
...
...
@@ -264,10 +261,11 @@ class FC(layers.Layer):
# add bias
size
=
list
(
out
.
shape
[
1
:])
if
not
self
.
_built
:
self
.
_b
=
self
.
_
lay
er
.
create_parameter
(
self
.
_b
=
self
.
_
help
er
.
create_parameter
(
attr
=
self
.
_bias_attr
,
shape
=
size
,
dtype
=
out
.
dtype
,
is_bias
=
True
)
bias_out
=
self
.
create_variable_for_type_inference
(
dtype
=
out
.
dtype
)
self
.
append_op
(
bias_out
=
self
.
_helper
.
create_variable_for_type_inference
(
dtype
=
out
.
dtype
)
self
.
_helper
.
append_op
(
type
=
'elementwise_add'
,
inputs
=
{
'X'
:
[
out
],
'Y'
:
[
self
.
_b
]},
...
...
python/paddle/fluid/layer_helper.py
浏览文件 @
bfa2621f
...
...
@@ -405,8 +405,7 @@ class LayerHelper(object):
"""
size
=
list
(
input_var
.
shape
[
dim_start
:
dim_end
])
bias_attr
=
self
.
bias_attr
if
not
bias_attr
:
return
input_var
assert
bias_attr
is
not
None
b
=
self
.
create_parameter
(
attr
=
bias_attr
,
shape
=
size
,
dtype
=
input_var
.
dtype
,
is_bias
=
True
)
...
...
python/paddle/fluid/tests/unittests/test_imperative_gan.py
浏览文件 @
bfa2621f
...
...
@@ -121,21 +121,21 @@ class TestImperativeMnist(unittest.TestCase):
img
=
np
.
ones
([
2
,
1
],
np
.
float32
)
noise
=
np
.
ones
([
2
,
2
],
np
.
float32
)
exe
.
run
(
startup
)
d_loss_val
=
exe
.
run
(
discriminate_p
,
feed
=
{
'img'
:
img
,
'noise'
:
noise
},
fetch_list
=
[
d_loss
])[
0
]
g_loss_val
=
exe
.
run
(
generate_p
,
feed
=
{
'noise'
:
noise
},
fetch_list
=
[
g_loss
])[
0
]
static_d_loss
=
exe
.
run
(
discriminate_p
,
feed
=
{
'img'
:
img
,
'noise'
:
noise
},
fetch_list
=
[
d_loss
])[
0
]
static_g_loss
=
exe
.
run
(
generate_p
,
feed
=
{
'noise'
:
noise
},
fetch_list
=
[
g_loss
])[
0
]
# generate_p contains all parameters needed.
for
param
in
generate_p
.
global_block
().
all_parameters
():
static_params
[
param
.
name
]
=
np
.
array
(
scope
.
find_var
(
param
.
name
).
get_tensor
())
sys
.
stderr
.
write
(
'static_param_loss: %s: %s
\n
'
%
(
param
.
name
,
np
.
sum
(
static_params
[
param
.
name
])))
sys
.
stderr
.
write
(
'd_loss %s, g_loss: %s
\n
'
%
(
d_loss_val
,
g_loss_val
))
dy_params
=
dict
()
with
fluid
.
imperative
.
guard
():
...
...
@@ -181,8 +181,14 @@ class TestImperativeMnist(unittest.TestCase):
dy_params
[
p
.
name
]
=
p
.
_numpy
()
sys
.
stderr
.
write
(
'dy_param_loss: %s: %s
\n
'
%
(
p
.
name
,
np
.
sum
(
dy_params
[
p
.
name
])))
sys
.
stderr
.
write
(
'dy_d_loss: %s, dy_g_loss: %s
\n
'
%
(
d_loss
.
_numpy
(),
g_loss
.
_numpy
()))
dy_g_loss
=
g_loss
.
_numpy
()
dy_d_loss
=
d_loss
.
_numpy
()
self
.
assertEqual
(
dy_g_loss
,
static_g_loss
)
self
.
assertEqual
(
dy_d_loss
,
static_d_loss
)
for
k
,
v
in
six
.
iteritems
(
dy_params
):
self
.
assertTrue
(
np
.
allclose
(
v
,
static_params
[
k
]))
if
__name__
==
'__main__'
:
...
...
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