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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>

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>