fix the Chinese

x2paddle/core/program.py

@@ -510,7 +510,7 @@ class PaddleGraph(object):
             comment_list = list()
             comment_list.append("# There are {} inputs.".format(len(self.inputs_info)))
             for k, v in self.inputs_info.items():
-                comment_list.append("# {}: shape-{}，type-{}。".format(k, v[0], v[1]))
+                comment_list.append("# {}: shape-{}, type-{}.".format(k, v[0], v[1]))
             self.run_func.extend(
                 gen_codes(
                     comment_list,

x2paddle/decoder/pytorch_decoder.py

@@ -65,5 +65,6 @@ class TraceDecoder(Decoder):
                 exit(0)
         self.graph = self._optimize_graph(self.script.inlined_graph)
         self.input_examples = input_examples
+        print(self.graph)
         
             

x2paddle/optimizer/pytorch_code_optimizer/hierachical_tree.py

@@ -385,7 +385,7 @@ class HierarchicalTree(Tree):
             run_func_list.append("def main({}):".format(input_data_name))
             run_func_list.append("    # There are {} inputs.".format(len(self.pd_graph.inputs_info)))
             for k, v in self.pd_graph.inputs_info.items():
-                run_func_list.append("    # {}: shape-{}，type-{}。".format(k, v[0], v[1]))
+                run_func_list.append("    # {}: shape-{}, type-{}.".format(k, v[0], v[1]))
             run_func_list.extend(
                 ["    paddle.disable_static()",
                  "    params = paddle.load('{}')".format(osp.join(osp.abspath(save_dir), "model.pdparams")),

x2paddle/optimizer/pytorch_code_optimizer/module_graph.py

@@ -351,7 +351,7 @@ class ModuleGraph(object):
             run_func_list.append("def main({}):".format(input_data_name))
             run_func_list.append("    # There are {} inputs.".format(len(self.pd_graph.inputs_info)))
             for k, v in self.pd_graph.inputs_info.items():
-                run_func_list.append("    # {}: shape-{}，type-{}.".format(k, v[0], v[1]))
+                run_func_list.append("    # {}: shape-{}, type-{}.".format(k, v[0], v[1]))
             run_func_list.extend(
                 ["    paddle.disable_static()",
                  "    params = paddle.load('{}')".format(osp.join(osp.abspath(save_dir), "model.pdparams")),