From 203262fa1107c1605d87cde7b26b0a568ff53a3f Mon Sep 17 00:00:00 2001 From: Travis CI Date: Tue, 11 Apr 2017 08:55:34 +0000 Subject: [PATCH] Deploy to GitHub Pages: 87afc6dc91405a75c6fd6aaa3770d2f83592051e --- develop/doc/api/v1/trainer_config_helpers/layers.html | 6 +++--- develop/doc/api/v2/config/layer.html | 6 +++--- develop/doc_cn/api/v1/trainer_config_helpers/layers.html | 6 +++--- develop/doc_cn/api/v2/config/layer.html | 6 +++--- 4 files changed, 12 insertions(+), 12 deletions(-) diff --git a/develop/doc/api/v1/trainer_config_helpers/layers.html b/develop/doc/api/v1/trainer_config_helpers/layers.html index 989dee056d..2c4e82f4c3 100644 --- a/develop/doc/api/v1/trainer_config_helpers/layers.html +++ b/develop/doc/api/v1/trainer_config_helpers/layers.html @@ -3520,8 +3520,7 @@ This idea is from “F. Morin, Y. Bengio (AISTATS 05): Hierarchical Probabilistic Neural Network Language Model.”

The example usage is:

cost = hsigmoid(input=[layer1, layer2],
-                label=data_layer,
-                num_classes=3)
+                label=data_layer)
@@ -3532,10 +3531,11 @@ Hierarchical Probabilistic Neural Network Language Model.”

  • input (LayerOutput|list|tuple) – Input layers. It could be a LayerOutput or list/tuple of LayerOutput.
  • label (LayerOutput) – Label layer.
    • -
  • num_classes (int) – number of classes.
    • +
  • num_classes (int|None) – number of classes.
  • name (basestring) – layer name
  • bias_attr (ParameterAttribute|False) – Bias attribute. None means default bias. False means no bias.
    • +
  • param_attr (ParameterAttribute|None) – Parameter Attribute. None means default parameter.
  • layer_attr (ExtraLayerAttribute) – Extra Layer Attribute.
    • diff --git a/develop/doc/api/v2/config/layer.html b/develop/doc/api/v2/config/layer.html index 65c26eb16b..a441b2f5a4 100644 --- a/develop/doc/api/v2/config/layer.html +++ b/develop/doc/api/v2/config/layer.html @@ -4187,8 +4187,7 @@ This idea is from “F. Morin, Y. Bengio (AISTATS 05): Hierarchical Probabilistic Neural Network Language Model.”

    The example usage is:

    cost = hsigmoid(input=[layer1, layer2],
-                label=data,
-                num_classes=3)
+                label=data)
    @@ -4199,10 +4198,11 @@ Hierarchical Probabilistic Neural Network Language Model.”

  • input (paddle.v2.config_base.Layer|list|tuple) – Input layers. It could be a paddle.v2.config_base.Layer or list/tuple of paddle.v2.config_base.Layer.
  • label (paddle.v2.config_base.Layer) – Label layer.
    • -
  • num_classes (int) – number of classes.
    • +
  • num_classes (int|None) – number of classes.
  • name (basestring) – layer name
  • bias_attr (paddle.v2.attr.ParameterAttribute|False) – Bias attribute. None means default bias. False means no bias.
    • +
  • param_attr (paddle.v2.attr.ParameterAttribute|None) – Parameter Attribute. None means default parameter.
  • layer_attr (paddle.v2.attr.ExtraAttribute) – Extra Layer Attribute.
    • diff --git a/develop/doc_cn/api/v1/trainer_config_helpers/layers.html b/develop/doc_cn/api/v1/trainer_config_helpers/layers.html index 8108ce920c..ecfddf7ce4 100644 --- a/develop/doc_cn/api/v1/trainer_config_helpers/layers.html +++ b/develop/doc_cn/api/v1/trainer_config_helpers/layers.html @@ -3527,8 +3527,7 @@ This idea is from “F. Morin, Y. Bengio (AISTATS 05): Hierarchical Probabilistic Neural Network Language Model.”

    The example usage is:

    cost = hsigmoid(input=[layer1, layer2],
-                label=data_layer,
-                num_classes=3)
+                label=data_layer)
    @@ -3539,10 +3538,11 @@ Hierarchical Probabilistic Neural Network Language Model.”

  • input (LayerOutput|list|tuple) – Input layers. It could be a LayerOutput or list/tuple of LayerOutput.
  • label (LayerOutput) – Label layer.
    • -
  • num_classes (int) – number of classes.
    • +
  • num_classes (int|None) – number of classes.
  • name (basestring) – layer name
  • bias_attr (ParameterAttribute|False) – Bias attribute. None means default bias. False means no bias.
    • +
  • param_attr (ParameterAttribute|None) – Parameter Attribute. None means default parameter.
  • layer_attr (ExtraLayerAttribute) – Extra Layer Attribute.
    • diff --git a/develop/doc_cn/api/v2/config/layer.html b/develop/doc_cn/api/v2/config/layer.html index 0ee5527550..28e753e127 100644 --- a/develop/doc_cn/api/v2/config/layer.html +++ b/develop/doc_cn/api/v2/config/layer.html @@ -4194,8 +4194,7 @@ This idea is from “F. Morin, Y. Bengio (AISTATS 05): Hierarchical Probabilistic Neural Network Language Model.”

    The example usage is:

    cost = hsigmoid(input=[layer1, layer2],
-                label=data,
-                num_classes=3)
+                label=data)
    @@ -4206,10 +4205,11 @@ Hierarchical Probabilistic Neural Network Language Model.”

  • input (paddle.v2.config_base.Layer|list|tuple) – Input layers. It could be a paddle.v2.config_base.Layer or list/tuple of paddle.v2.config_base.Layer.
  • label (paddle.v2.config_base.Layer) – Label layer.
    • -
  • num_classes (int) – number of classes.
    • +
  • num_classes (int|None) – number of classes.
  • name (basestring) – layer name
  • bias_attr (paddle.v2.attr.ParameterAttribute|False) – Bias attribute. None means default bias. False means no bias.
    • +
  • param_attr (paddle.v2.attr.ParameterAttribute|None) – Parameter Attribute. None means default parameter.
  • layer_attr (paddle.v2.attr.ExtraAttribute) – Extra Layer Attribute.
    • -- GitLab