Better trim dot

python/paddle/fluid/layers/control_flow.py

@@ -736,7 +736,7 @@ def max_sequence_len(rank_table):
         rank_table(${rank_table_type}): ${rank_table_comment}.
 
     Returns:
-        (${out_type}): ${out_comment}
+        (${out_type}): ${out_comment}.
     """
     helper = LayerHelper("max_seqence_len", **locals())
     res = helper.create_tmp_variable(dtype="int64")

python/paddle/fluid/layers/layer_function_generator.py

@@ -238,6 +238,9 @@ def templatedoc():
         Decorated function.
     """
 
+    def trim_ending_dot(msg):
+        return msg.rstrip('.')
+
     def __impl__(func):
         op_proto = OpProtoHolder.instance().get_op_proto(func.__name__)
         tmpl = string.Template(func.__doc__)
@@ -249,19 +252,22 @@ def templatedoc():
             comment += line
             comment += "\n"
 
-        args = {"comment": comment}
+        args = {"comment": trim_ending_dot(comment)}
         for each_input in op_proto.inputs:
             input_name = _convert_(each_input.name)
-            args["{0}_comment".format(input_name)] = each_input.comment
+            args["{0}_comment".format(input_name)] = trim_ending_dot(
+                each_input.comment)
             args["{0}_type".format(input_name)] = "Variable"
         for each_attr in op_proto.attrs:
             input_name = _convert_(each_attr.name)
-            args["{0}_comment".format(input_name)] = each_attr.comment
+            args["{0}_comment".format(input_name)] = trim_ending_dot(
+                each_attr.comment)
             args["{0}_type".format(input_name)] = _type_to_str_(each_attr.type)
 
         for each_opt in op_proto.outputs:
             output_name = _convert_(each_opt.name)
-            args["{0}_comment".format(output_name)] = each_opt.comment
+            args["{0}_comment".format(output_name)] = trim_ending_dot(
+                each_opt.comment)
             args["{0}_type".format(output_name)] = "Variable"
         func.__doc__ = tmpl.substitute(args)
         return func

python/paddle/fluid/layers/tensor.py

@@ -296,7 +296,7 @@ def fill_constant_batch_size_like(input,
         output_dim_idx(${output_dim_idx_type}): ${output_dim_idx_comment}.
 
     Returns:
-        ${out_comment}
+        ${out_comment}.
     """
     helper = LayerHelper("fill_constant_batch_size_like", **locals())
     out = helper.create_tmp_variable(dtype=dtype)