code: def get_graph_metadata(self, graph):
          
          _params = set()
          for tensor_vals in graph.initializer:
              _params.add(tensor_vals.name)
  
          input_data = []
          for graph_input in graph.input:
              if graph_input.name not in _params:
                  shape = [val.dim_value for val in graph_input.type.tensor_type.shape.dim]
                  input_data.append((graph_input.name, tuple(shape)))
  
          output_data = []
          for graph_out in graph.output:
              shape = [val.dim_value for val in graph_out.type.tensor_type.shape.dim]
              output_data.append((graph_out.name, tuple(shape)))
          metadata = {'input_tensor_data' : input_data,
                      'output_tensor_data' : output_data
                     }
          return metadata
docs: Get the model metadata from a given onnx graph.