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体验新版 GitCode,发现更多精彩内容 >>
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3b543756
编写于
1月 06, 2018
作者:
C
Cao Ying
提交者:
GitHub
1月 06, 2018
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Merge pull request #7241 from will-am/fix_doc_paramattr
Fix doc of ParameterAttribute.
上级
0b6c5e6d
298977c4
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1
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with
8 addition
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6 deletion
+8
-6
python/paddle/trainer_config_helpers/attrs.py
python/paddle/trainer_config_helpers/attrs.py
+8
-6
未找到文件。
python/paddle/trainer_config_helpers/attrs.py
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3b543756
...
@@ -58,12 +58,12 @@ def is_compatible_with(x, Type):
...
@@ -58,12 +58,12 @@ def is_compatible_with(x, Type):
class
HookAttribute
(
object
):
class
HookAttribute
(
object
):
"""
"""
Hook Attribute object. As a member of ParameterAttribute class, the hook is an auxiliary operation that occurs
Hook Attribute object. As a member of ParameterAttribute class, the hook is an auxiliary operation that occurs
during training process of a layer with parameters, such as img_conv layer, fc layer.
during training process of a layer with parameters, such as img_conv layer, fc layer.
:param type: Hook type, currently supported types:
:param type: Hook type, currently supported types:
'pruning' : user specify a sparsity_ratio before training started, and the
'pruning' : user specify a sparsity_ratio before training started, and the
network will prune the parameters based on the sparsity_ratio.
network will prune the parameters based on the sparsity_ratio.
eg: The definition of Hook object can be hk = HookAttribute('pruning', 0.6)
eg: The definition of Hook object can be hk = HookAttribute('pruning', 0.6)
The specific usage can be paddle.layer.img_conv(input=img, filter_size=3,
The specific usage can be paddle.layer.img_conv(input=img, filter_size=3,
num_channels=3, num_filters=64,
num_channels=3, num_filters=64,
...
@@ -71,10 +71,10 @@ class HookAttribute(object):
...
@@ -71,10 +71,10 @@ class HookAttribute(object):
The pruning details can be found https://arxiv.org/pdf/1506.02626.pdf
The pruning details can be found https://arxiv.org/pdf/1506.02626.pdf
:type type: string
:type type: string
:param sparsity_ratio: Must be specified if hook type is 'pruning',
:param sparsity_ratio: Must be specified if hook type is 'pruning',
it represents the ratio of the zero elements to be set by the Parameter.
it represents the ratio of the zero elements to be set by the Parameter.
:type sparsity_ratio: float or None
:type sparsity_ratio: float or None
"""
"""
def
__init__
(
self
,
type
,
sparsity_ratio
=
None
):
def
__init__
(
self
,
type
,
sparsity_ratio
=
None
):
...
@@ -130,10 +130,12 @@ class ParameterAttribute(object):
...
@@ -130,10 +130,12 @@ class ParameterAttribute(object):
:param sparse_update: Enable sparse update for this parameter. It will
:param sparse_update: Enable sparse update for this parameter. It will
enable both local and remote sparse update.
enable both local and remote sparse update.
:type sparse_update: bool
:type sparse_update: bool
:param update_hooks: A HookAttribute object.
:type update_hooks: HookAttribute
:param initializer: If not None, it should be a callable object which accepts
:param initializer: If not None, it should be a callable object which accepts
a parameter name and returns numpy array for the initial
a parameter name and returns numpy array for the initial
value of the parameter
value of the parameter
:
param
initializer: callable object
:
type
initializer: callable object
"""
"""
def
__init__
(
self
,
def
__init__
(
self
,
...
...
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