From 8f8eebbc9db8cd212bca335bd3e143312338d601 Mon Sep 17 00:00:00 2001
From: Li Fuchen <lfchener@outlook.com>
Date: Mon, 23 Mar 2020 11:06:22 +0800
Subject: [PATCH] change fluid.layers.embedding to fluid.embedding to fix a bug
 of dim (#1934)

---
 .../user_guides/nlp_case/understand_sentiment/README.cn.md    | 4 ++--
 doc/fluid/user_guides/nlp_case/understand_sentiment/README.md | 4 ++--
 .../user_guides/nlp_case/understand_sentiment/index.cn.html   | 4 ++--
 .../user_guides/nlp_case/understand_sentiment/index.html      | 4 ++--
 .../user_guides/nlp_case/understand_sentiment/train_conv.py   | 2 +-
 .../nlp_case/understand_sentiment/train_dyn_rnn.py            | 2 +-
 .../nlp_case/understand_sentiment/train_stacked_lstm.py       | 2 +-
 7 files changed, 11 insertions(+), 11 deletions(-)

diff --git a/doc/fluid/user_guides/nlp_case/understand_sentiment/README.cn.md b/doc/fluid/user_guides/nlp_case/understand_sentiment/README.cn.md
index e09036cd4..8f35f06c7 100644
--- a/doc/fluid/user_guides/nlp_case/understand_sentiment/README.cn.md
+++ b/doc/fluid/user_guides/nlp_case/understand_sentiment/README.cn.md
@@ -151,7 +151,7 @@ BATCH_SIZE = 128  #batch的大小
 ```python
 #文本卷积神经网络
 def convolution_net(data, input_dim, class_dim, emb_dim, hid_dim):
-    emb = fluid.layers.embedding(
+    emb = fluid.embedding(
         input=data, size=[input_dim, emb_dim], is_sparse=True)
     conv_3 = fluid.nets.sequence_conv_pool(
         input=emb,
@@ -183,7 +183,7 @@ def convolution_net(data, input_dim, class_dim, emb_dim, hid_dim):
 def stacked_lstm_net(data, input_dim, class_dim, emb_dim, hid_dim, stacked_num):
 
     #计算词向量
-    emb = fluid.layers.embedding(
+    emb = fluid.embedding(
         input=data, size=[input_dim, emb_dim], is_sparse=True)
 
     #第一层栈
diff --git a/doc/fluid/user_guides/nlp_case/understand_sentiment/README.md b/doc/fluid/user_guides/nlp_case/understand_sentiment/README.md
index 0220bfe71..4a91a5c39 100644
--- a/doc/fluid/user_guides/nlp_case/understand_sentiment/README.md
+++ b/doc/fluid/user_guides/nlp_case/understand_sentiment/README.md
@@ -140,7 +140,7 @@ Note that `fluid.nets.sequence_conv_pool` contains both convolution and pooling
 ```python
 #Textconvolution neural network
 def convolution_net(data, input_dim, class_dim, emb_dim, hid_dim):
-    emb = fluid.layers.embedding(
+    emb = fluid.embedding(
         input=data, size=[input_dim, emb_dim], is_sparse=True)
     conv_3 = fluid.nets.sequence_conv_pool(
         input=emb,
@@ -172,7 +172,7 @@ The code of the stack bidirectional LSTM `stacked_lstm_net` is as follows:
 def stacked_lstm_net(data, input_dim, class_dim, emb_dim, hid_dim, stacked_num):
 
     # Calculate word vectorvector
-    emb = fluid.layers.embedding(
+    emb = fluid.embedding(
         input=data, size=[input_dim, emb_dim], is_sparse=True)
 
     #First stack
diff --git a/doc/fluid/user_guides/nlp_case/understand_sentiment/index.cn.html b/doc/fluid/user_guides/nlp_case/understand_sentiment/index.cn.html
index d111e50a2..7c551554a 100644
--- a/doc/fluid/user_guides/nlp_case/understand_sentiment/index.cn.html
+++ b/doc/fluid/user_guides/nlp_case/understand_sentiment/index.cn.html
@@ -193,7 +193,7 @@ BATCH_SIZE = 128  #batch的大小
 ```python
 #文本卷积神经网络
 def convolution_net(data, input_dim, class_dim, emb_dim, hid_dim):
-    emb = fluid.layers.embedding(
+    emb = fluid.embedding(
         input=data, size=[input_dim, emb_dim], is_sparse=True)
     conv_3 = fluid.nets.sequence_conv_pool(
         input=emb,
@@ -225,7 +225,7 @@ def convolution_net(data, input_dim, class_dim, emb_dim, hid_dim):
 def stacked_lstm_net(data, input_dim, class_dim, emb_dim, hid_dim, stacked_num):
 
     #计算词向量
-    emb = fluid.layers.embedding(
+    emb = fluid.embedding(
         input=data, size=[input_dim, emb_dim], is_sparse=True)
 
     #第一层栈
diff --git a/doc/fluid/user_guides/nlp_case/understand_sentiment/index.html b/doc/fluid/user_guides/nlp_case/understand_sentiment/index.html
index 94ce28250..c363ba148 100644
--- a/doc/fluid/user_guides/nlp_case/understand_sentiment/index.html
+++ b/doc/fluid/user_guides/nlp_case/understand_sentiment/index.html
@@ -182,7 +182,7 @@ Note that `fluid.nets.sequence_conv_pool` contains both convolution and pooling
 ```python
 #Textconvolution neural network
 def convolution_net(data, input_dim, class_dim, emb_dim, hid_dim):
-    emb = fluid.layers.embedding(
+    emb = fluid.embedding(
         input=data, size=[input_dim, emb_dim], is_sparse=True)
     conv_3 = fluid.nets.sequence_conv_pool(
         input=emb,
@@ -214,7 +214,7 @@ The code of the stack bidirectional LSTM `stacked_lstm_net` is as follows:
 def stacked_lstm_net(data, input_dim, class_dim, emb_dim, hid_dim, stacked_num):
 
     # Calculate word vectorvector
-    emb = fluid.layers.embedding(
+    emb = fluid.embedding(
         input=data, size=[input_dim, emb_dim], is_sparse=True)
 
     #First stack
diff --git a/doc/fluid/user_guides/nlp_case/understand_sentiment/train_conv.py b/doc/fluid/user_guides/nlp_case/understand_sentiment/train_conv.py
index 471ea93de..765db3f12 100644
--- a/doc/fluid/user_guides/nlp_case/understand_sentiment/train_conv.py
+++ b/doc/fluid/user_guides/nlp_case/understand_sentiment/train_conv.py
@@ -42,7 +42,7 @@ def parse_args():
 
 
 def convolution_net(data, input_dim, class_dim, emb_dim, hid_dim):
-    emb = fluid.layers.embedding(
+    emb = fluid.embedding(
         input=data, size=[input_dim, emb_dim], is_sparse=True)
     conv_3 = fluid.nets.sequence_conv_pool(
         input=emb,
diff --git a/doc/fluid/user_guides/nlp_case/understand_sentiment/train_dyn_rnn.py b/doc/fluid/user_guides/nlp_case/understand_sentiment/train_dyn_rnn.py
index 6328d9066..c28b7b668 100644
--- a/doc/fluid/user_guides/nlp_case/understand_sentiment/train_dyn_rnn.py
+++ b/doc/fluid/user_guides/nlp_case/understand_sentiment/train_dyn_rnn.py
@@ -42,7 +42,7 @@ def parse_args():
 
 
 def dynamic_rnn_lstm(data, input_dim, class_dim, emb_dim, lstm_size):
-    emb = fluid.layers.embedding(
+    emb = fluid.embedding(
         input=data, size=[input_dim, emb_dim], is_sparse=True)
     sentence = fluid.layers.fc(input=emb, size=lstm_size * 4, act='tanh')
 
diff --git a/doc/fluid/user_guides/nlp_case/understand_sentiment/train_stacked_lstm.py b/doc/fluid/user_guides/nlp_case/understand_sentiment/train_stacked_lstm.py
index cf392f5eb..e7635ccfe 100644
--- a/doc/fluid/user_guides/nlp_case/understand_sentiment/train_stacked_lstm.py
+++ b/doc/fluid/user_guides/nlp_case/understand_sentiment/train_stacked_lstm.py
@@ -47,7 +47,7 @@ def stacked_lstm_net(data, input_dim, class_dim, emb_dim, hid_dim,
                      stacked_num):
     assert stacked_num % 2 == 1
 
-    emb = fluid.layers.embedding(
+    emb = fluid.embedding(
         input=data, size=[input_dim, emb_dim], is_sparse=True)
 
     fc1 = fluid.layers.fc(input=emb, size=hid_dim)
-- 
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