diff --git a/develop/doc/api/v2/fluid/layers.html b/develop/doc/api/v2/fluid/layers.html
index 81bb57802dc87a7d1990e9a95baa38a3737cb22d..2be7444eca0f234229f4d799332c759d7366f37d 100644
--- a/develop/doc/api/v2/fluid/layers.html
+++ b/develop/doc/api/v2/fluid/layers.html
@@ -259,14 +259,14 @@ into a 2-dimensional matrix. The parameter
 is flattened: the first <cite>num_flatten_dims</cite>
 dimensions will be flatten to form the first
 dimension of the final matrix (height of the
-matrix), and the rest <cite>rank(X) - num_col_dims</cite>
+matrix), and the rest <cite>rank(X) - num_flatten_dims</cite>
 dimensions are flattened to form the second
 dimension of the final matrix (width of the matrix).
 For example, suppose <cite>X</cite> is a 6-dimensional tensor
 with a shape [2, 3, 4, 5, 6], and
-<cite>x_num_col_dims</cite> = 3. Then, the flattened matrix
+<cite>num_flatten_dims</cite> = 3. Then, the flattened matrix
 will have a shape [2 x 3 x 4, 5 x 6] = [24, 30].
-By default, <cite>x_num_col_dims</cite> is set to 1.</li>
+By default, <cite>num_flatten_dims</cite> is set to 1.</li>
 <li><strong>param_attr</strong> (<em>ParamAttr|list</em>) &#8211; The parameter attribute for learnable
 parameters/weights of the fully connected
 layer.</li>
diff --git a/develop/doc_cn/api/v2/fluid/layers.html b/develop/doc_cn/api/v2/fluid/layers.html
index 592b78ab5cbc0ad5fc1d5a4971e1ff1da4168d1c..4e66efd868153852df2ce0f2070df670e5a975d5 100644
--- a/develop/doc_cn/api/v2/fluid/layers.html
+++ b/develop/doc_cn/api/v2/fluid/layers.html
@@ -272,14 +272,14 @@ into a 2-dimensional matrix. The parameter
 is flattened: the first <cite>num_flatten_dims</cite>
 dimensions will be flatten to form the first
 dimension of the final matrix (height of the
-matrix), and the rest <cite>rank(X) - num_col_dims</cite>
+matrix), and the rest <cite>rank(X) - num_flatten_dims</cite>
 dimensions are flattened to form the second
 dimension of the final matrix (width of the matrix).
 For example, suppose <cite>X</cite> is a 6-dimensional tensor
 with a shape [2, 3, 4, 5, 6], and
-<cite>x_num_col_dims</cite> = 3. Then, the flattened matrix
+<cite>num_flatten_dims</cite> = 3. Then, the flattened matrix
 will have a shape [2 x 3 x 4, 5 x 6] = [24, 30].
-By default, <cite>x_num_col_dims</cite> is set to 1.</li>
+By default, <cite>num_flatten_dims</cite> is set to 1.</li>
 <li><strong>param_attr</strong> (<em>ParamAttr|list</em>) &#8211; The parameter attribute for learnable
 parameters/weights of the fully connected
 layer.</li>