1 files changed, 25 insertions, 25 deletions
diff --git a/tensorflow/docs_src/community/style_guide.md b/tensorflow/docs_src/community/style_guide.md
index a2df61bc80..767e33c3d0 100644
--- a/tensorflow/docs_src/community/style_guide.md
+++ b/tensorflow/docs_src/community/style_guide.md
@@ -115,31 +115,31 @@ Example:
 
     def my_op(tensor_in, other_tensor_in, my_param, other_param=0.5,
               output_collections=(), name=None):
-    """My operation that adds two tensors with given coefficients.
-
-    Args:
-      tensor_in: `Tensor`, input tensor.
-      other_tensor_in: `Tensor`, same shape as `tensor_in`, other input tensor.
-      my_param: `float`, coefficient for `tensor_in`.
-      other_param: `float`, coefficient for `other_tensor_in`.
-      output_collections: `tuple` of `string`s, name of the collection to
-                          collect result of this op.
-      name: `string`, name of the operation.
-
-    Returns:
-      `Tensor` of same shape as `tensor_in`, sum of input values with coefficients.
-
-    Example:
-      >>> my_op([1., 2.], [3., 4.], my_param=0.5, other_param=0.6,
-                output_collections=['MY_OPS'], name='add_t1t2')
-      [2.3, 3.4]
-    """
-    with tf.name_scope(name, "my_op", [tensor_in, other_tensor_in]):
-      tensor_in = tf.convert_to_tensor(tensor_in)
-      other_tensor_in = tf.convert_to_tensor(other_tensor_in)
-      result = my_param * tensor_in + other_param * other_tensor_in
-      tf.add_to_collections(output_collections, result)
-      return result
+      """My operation that adds two tensors with given coefficients.
+
+      Args:
+        tensor_in: `Tensor`, input tensor.
+        other_tensor_in: `Tensor`, same shape as `tensor_in`, other input tensor.
+        my_param: `float`, coefficient for `tensor_in`.
+        other_param: `float`, coefficient for `other_tensor_in`.
+        output_collections: `tuple` of `string`s, name of the collection to
+                            collect result of this op.
+        name: `string`, name of the operation.
+
+      Returns:
+        `Tensor` of same shape as `tensor_in`, sum of input values with coefficients.
+
+      Example:
+        >>> my_op([1., 2.], [3., 4.], my_param=0.5, other_param=0.6,
+                  output_collections=['MY_OPS'], name='add_t1t2')
+        [2.3, 3.4]
+      """
+      with tf.name_scope(name, "my_op", [tensor_in, other_tensor_in]):
+        tensor_in = tf.convert_to_tensor(tensor_in)
+        other_tensor_in = tf.convert_to_tensor(other_tensor_in)
+        result = my_param * tensor_in + other_param * other_tensor_in
+        tf.add_to_collection(output_collections, result)
+        return result
 
 Usage: