def get_tensor_watch_list(self):
    dict = {}
    for input_item in self.tensor_input_list:
        list = []
        for t in self.tensor_watch_list:
            if ((t.pyqt_window_id is not None) and (input_item.name == t.input_name)):
                list.append((t.name, t.reshape, t.op, t.data_source, t.input_name))
        if (len(list) > 0):
            dict[input_item] = list
    return dict
def get_tensor_watch_list(self):
    dict = {}
    for input_item in self.tensor_input_list:
        list = []
        for t in self.tensor_watch_list:
            if ((t.pyqt_window_id is not None) and (input_item.name == t.input_name)):
                list.append((t.name, t.reshape, t.op, t.data_source, t.input_name))
        if (len(list) > 0):
            dict[input_item] = list
    return dict