Add one exception catch & Optimize code

mindinsight/mindconverter/cli.py

@@ -109,6 +109,8 @@ class ProjectPathAction(argparse.Action):
             option_string (str): Optional string for specific argument name. Default: None.
         """
         outfile_dir = FileDirAction.check_path(parser, values, option_string)
+        if not os.path.exists(outfile_dir):
+            parser.error(f'{option_string} {outfile_dir} not exists')
         if not os.path.isdir(outfile_dir):
             parser.error(f'{option_string} [{outfile_dir}] should be a directory.')
 
@@ -138,6 +140,32 @@ class InFileAction(argparse.Action):
         setattr(namespace, self.dest, outfile_dir)
 
 
+class ModelFileAction(argparse.Action):
+    """Model File action class definition."""
+
+    def __call__(self, parser, namespace, values, option_string=None):
+        """
+        Inherited __call__ method from argparse.Action.
+
+        Args:
+            parser (ArgumentParser): Passed-in argument parser.
+            namespace (Namespace): Namespace object to hold arguments.
+            values (object): Argument values with type depending on argument definition.
+            option_string (str): Optional string for specific argument name. Default: None.
+        """
+        outfile_dir = FileDirAction.check_path(parser, values, option_string)
+        if not os.path.exists(outfile_dir):
+            parser.error(f'{option_string} {outfile_dir} not exists')
+
+        if not os.path.isfile(outfile_dir):
+            parser.error(f'{option_string} {outfile_dir} is not a file')
+
+        if not outfile_dir.endswith('.pth'):
+            parser.error(f"{option_string} {outfile_dir} should be a Pytorch model, ending with '.pth'.")
+
+        setattr(namespace, self.dest, outfile_dir)
+
+
 class LogFileAction(argparse.Action):
     """Log file action class definition."""
 
@@ -208,7 +236,7 @@ def cli_entry():
     parser.add_argument(
         '--model_file',
         type=str,
-        action=InFileAction,
+        action=ModelFileAction,
         required=False,
         help="""
             Pytorch .pth model file path ot use graph

mindinsight/mindconverter/graph_based_converter/third_party_graph/pytorch_graph.py

@@ -204,37 +204,6 @@ class PyTorchGraph(Graph):
         """
         raise NotImplementedError()
 
-    def to_hierarchical_tree(self):
-        """
-        Generate hierarchical tree based on graph.
-        """
-        from ..hierarchical_tree import HierarchicalTree
-
-        tree = HierarchicalTree()
-        node_input = None
-        for _, node_name in enumerate(self.nodes_in_topological_order):
-            node_inst = self.get_node(node_name)
-            node_output = self._shape_dict.get(node_name)
-            if node_inst.in_degree == 0:
-                # If in-degree equals to zero, then it's a input node.
-                continue
-
-            # If the node is on the top, then fetch its input
-            # from input table.
-            if not node_input:
-                node_input = self._input_shape.get(node_name)
-
-            if not node_input:
-                error = ValueError(f"This model is not supported now. "
-                                   f"Cannot find {node_name}'s input shape.")
-                log.error(str(error))
-                log.exception(error)
-                raise error
-
-            tree.insert(node_inst, node_name, node_input, node_output)
-            node_input = node_output
-        return tree
-
     def build_connection(self, src, tgt) -> NoReturn:
         """
         Build connection between source node and target node.