06e438b7eff63e757f3a58d60b7ca7923d2bd5ae,nni/common/graph_utils.py,TorchModuleGraph,unpack_manually,#TorchModuleGraph#,596

Before Change

                            // will be merged into the same NodePyGroup, so we remove the `node` from
                            // input_to_node[_debug_input] and directly connect this tensor to the
                            // input_to_node[_debug_output]
                            self.input_to_node[_debug_input].remove(node)
                            // add the following nodes of _output into the input_to_node[_debug_input]
                            self.input_to_node[_debug_input].extend(self.input_to_node[_debug_output])
                        // just remove the _debug_output from the grapgh index. So that we can also skip
                        // the construct and tuple

After Change

                            // will be merged into the same NodePyGroup, so we remove the `node` from
                            // input_to_node[_debug_input] and directly connect this tensor to the
                            // input_to_node[_debug_output]
                            if node in self.input_to_node[_debug_input]:
                                self.input_to_node[_debug_input].remove(node)
                            // add the following nodes of _output into the input_to_node[_debug_input]
                            self.input_to_node[_debug_input].extend(self.input_to_node[_debug_output])
                        // just remove the _debug_output from the grapgh index. So that we can also skip
                        // the construct and tuple
                        if _debug_output in self.input_to_node:

Instances