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体验新版 GitCode,发现更多精彩内容 >>
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20336428
编写于
7月 06, 2017
作者:
C
caoying03
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电子邮件补丁
差异文件
enable error clipping in FC layer.
上级
98378968
变更
1
显示空白变更内容
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并排
Showing
1 changed file
with
16 addition
and
6 deletion
+16
-6
python/paddle/trainer/config_parser.py
python/paddle/trainer/config_parser.py
+16
-6
未找到文件。
python/paddle/trainer/config_parser.py
浏览文件 @
20336428
...
...
@@ -13,6 +13,7 @@
# limitations under the License.
from
__future__
import
print_function
import
pdb
'''
The following functions are available in the config file:
...
...
@@ -761,8 +762,8 @@ class DotMulOperator(Operator):
def
check_dims
(
self
):
for
i
in
range
(
2
):
config_assert
(
self
.
operator_conf
.
input_sizes
[
i
]
==
self
.
operator_conf
.
output_size
,
config_assert
(
self
.
operator_conf
.
input_sizes
[
i
]
==
self
.
operator_conf
.
output_size
,
"DotMul input_size != output_size"
)
def
calc_output_size
(
self
,
input_sizes
):
...
...
@@ -1193,8 +1194,7 @@ def parse_image(image, input_layer_name, image_conf):
def
parse_norm
(
norm
,
input_layer_name
,
norm_conf
):
norm_conf
.
norm_type
=
norm
.
norm_type
config_assert
(
norm
.
norm_type
in
[
'rnorm'
,
'cmrnorm-projection'
,
'cross-channel-norm'
],
norm
.
norm_type
in
[
'rnorm'
,
'cmrnorm-projection'
,
'cross-channel-norm'
],
"norm-type %s is not in [rnorm, cmrnorm-projection, cross-channel-norm]"
%
norm
.
norm_type
)
norm_conf
.
channels
=
norm
.
channels
...
...
@@ -1571,7 +1571,13 @@ class MultiClassCrossEntropySelfNormCostLayer(LayerBase):
@
config_layer
(
'fc'
)
class
FCLayer
(
LayerBase
):
def
__init__
(
self
,
name
,
size
,
inputs
,
bias
=
True
,
**
xargs
):
def
__init__
(
self
,
name
,
size
,
inputs
,
bias
=
True
,
error_clipping_threshold
=
None
,
**
xargs
):
super
(
FCLayer
,
self
).
__init__
(
name
,
'fc'
,
size
,
inputs
=
inputs
,
**
xargs
)
for
input_index
in
xrange
(
len
(
self
.
inputs
)):
input_layer
=
self
.
get_input_layer
(
input_index
)
...
...
@@ -1589,6 +1595,9 @@ class FCLayer(LayerBase):
format
)
self
.
create_bias_parameter
(
bias
,
self
.
config
.
size
)
if
error_clipping_threshold
is
not
None
:
self
.
config
.
error_clipping_threshold
=
error_clipping_threshold
@
config_layer
(
'selective_fc'
)
class
SelectiveFCLayer
(
LayerBase
):
...
...
@@ -3425,7 +3434,8 @@ DEFAULT_SETTING = dict(
settings
=
copy
.
deepcopy
(
DEFAULT_SETTING
)
settings_deprecated
=
dict
(
usage_ratio
=
1.
,
)
settings_deprecated
=
dict
(
usage_ratio
=
1.
,
)
trainer_settings
=
dict
(
save_dir
=
"./output/model"
,
...
...
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