From d58bf35480540cced955360f5d9297447271b578 Mon Sep 17 00:00:00 2001
From: silingtong123 <silingtong@baidu.com>
Date: Wed, 17 Jun 2020 04:10:56 +0000
Subject: [PATCH] test=develop, modfiyt he example code

---
 doc/fluid/api_cn/dygraph_cn/NCE_cn.rst        | 19 +++++++++----------
 .../api_cn/dygraph_cn/PolynomialDecay_cn.rst  |  8 +++-----
 2 files changed, 12 insertions(+), 15 deletions(-)

diff --git a/doc/fluid/api_cn/dygraph_cn/NCE_cn.rst b/doc/fluid/api_cn/dygraph_cn/NCE_cn.rst
index 63bb80d14..ab47ac134 100644
--- a/doc/fluid/api_cn/dygraph_cn/NCE_cn.rst
+++ b/doc/fluid/api_cn/dygraph_cn/NCE_cn.rst
@@ -42,7 +42,6 @@ NCE
             words.append(fluid.dygraph.base.to_variable(inp_word[i]))
 
         emb = fluid.Embedding(
-            'embedding',
             size=[dict_size, 32],
             param_attr='emb.w',
             is_sparse=False)
@@ -57,17 +56,17 @@ NCE
 
         embs3 = fluid.layers.concat(input=embs3, axis=1)
         nce = fluid.NCE(
-                     num_total_classes=dict_size,
-                     dim=embs3.shape[1],
-                     num_neg_samples=2,
-                     sampler="custom_dist",
-                     custom_dist=nid_freq_arr.tolist(),
-                     seed=1,
-                     param_attr='nce.w',
-                     bias_attr='nce.b')
+                    num_total_classes=dict_size,
+                    dim=embs3.shape[1],
+                    num_neg_samples=2,
+                    sampler="custom_dist",
+                    custom_dist=nid_freq_arr.tolist(),
+                    seed=1,
+                    param_attr='nce.w',
+                    bias_attr='nce.b')
 
         wl = fluid.layers.unsqueeze(words[label_word], axes=[0])
-        nce_loss3 = nce(embs3, words[label_word])
+        nce_loss3 = nce(embs3, wl)
 
 属性
 ::::::::::::
diff --git a/doc/fluid/api_cn/dygraph_cn/PolynomialDecay_cn.rst b/doc/fluid/api_cn/dygraph_cn/PolynomialDecay_cn.rst
index 52f288419..e5c1bbd44 100644
--- a/doc/fluid/api_cn/dygraph_cn/PolynomialDecay_cn.rst
+++ b/doc/fluid/api_cn/dygraph_cn/PolynomialDecay_cn.rst
@@ -52,10 +52,8 @@ PolynomialDecay
     total_step = 5000
     end_lr = 0
     with fluid.dygraph.guard():
+        emb = fluid.dygraph.Embedding( [10, 10])
         optimizer  = fluid.optimizer.SGD(
             learning_rate = fluid.dygraph.PolynomialDecay(
-            start_lr, total_step, end_lr, power=1.0) )
-
-
-
-
+            start_lr, total_step, end_lr, power=1.0),
+            parameter_list = emb.parameters())
-- 
GitLab