diff --git a/develop/doc/api/v2/config/attr.html b/develop/doc/api/v2/config/attr.html index ce215467b965797cc33528becb7a1a30f987c46d..8ed14242afdb642b033448400a49620c3126f3a0 100644 --- a/develop/doc/api/v2/config/attr.html +++ b/develop/doc/api/v2/config/attr.html @@ -200,6 +200,18 @@

alias of ExtraLayerAttribute

+
+
+paddle.v2.attr.Hook
+

alias of HookAttribute

+
+ +
+
+paddle.v2.attr.HookAttr
+

alias of HookAttribute

+
+
paddle.v2.attr.ParamAttr
@@ -214,7 +226,7 @@
-class paddle.v2.attr.ParameterAttribute(name=None, is_static=False, initial_std=None, initial_mean=None, initial_max=None, initial_min=None, l1_rate=None, l2_rate=None, learning_rate=None, momentum=None, gradient_clipping_threshold=None, sparse_update=False, initializer=None)
+class paddle.v2.attr.ParameterAttribute(name=None, is_static=False, initial_std=None, initial_mean=None, initial_max=None, initial_min=None, l1_rate=None, l2_rate=None, learning_rate=None, momentum=None, gradient_clipping_threshold=None, sparse_update=False, update_hooks=None, initializer=None)

Parameter Attributes object. To fine-tuning network training process, user can set attribute to control training details, such as l1,l2 rate / learning rate / how to init param.

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\ No newline at end of file diff --git a/develop/doc_cn/api/v2/config/attr.html b/develop/doc_cn/api/v2/config/attr.html index 081b3ea815ff47448898195ff9fab42f4fe77504..7be0c3705a79a6e4c6ca50eae7ae363bd0ea9aa9 100644 --- a/develop/doc_cn/api/v2/config/attr.html +++ b/develop/doc_cn/api/v2/config/attr.html @@ -205,6 +205,18 @@

ExtraLayerAttribute 的别名

+
+
+paddle.v2.attr.Hook
+

HookAttribute 的别名

+
+ +
+
+paddle.v2.attr.HookAttr
+

HookAttribute 的别名

+
+
paddle.v2.attr.ParamAttr
@@ -219,7 +231,7 @@
-class paddle.v2.attr.ParameterAttribute(name=None, is_static=False, initial_std=None, initial_mean=None, initial_max=None, initial_min=None, l1_rate=None, l2_rate=None, learning_rate=None, momentum=None, gradient_clipping_threshold=None, sparse_update=False, initializer=None)
+class paddle.v2.attr.ParameterAttribute(name=None, is_static=False, initial_std=None, initial_mean=None, initial_max=None, initial_min=None, l1_rate=None, l2_rate=None, learning_rate=None, momentum=None, gradient_clipping_threshold=None, sparse_update=False, update_hooks=None, initializer=None)

Parameter Attributes object. To fine-tuning network training process, user can set attribute to control training details, such as l1,l2 rate / learning rate / how to init param.

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