code: def example_forward_input(self):
      return {
          "encoder_cat": torch.empty(2, 60, 0, dtype=torch.int64),
          "encoder_cont": torch.zeros(2, 60, 1),
          "encoder_target": torch.zeros(2, 60),
          "encoder_lengths": torch.tensor([60, 60]),
          "decoder_cat": torch.empty(2, 20, 0, dtype=torch.int64),
          "decoder_cont": torch.zeros(2, 20, 1),
          "decoder_target": torch.zeros(2, 20),
          "decoder_lengths": torch.tensor([20, 20]),
          "decoder_time_idx": torch.ones(2, 20).long(),
          "groups": torch.tensor([[0], [1]]),
          "target_scale": torch.zeros(2, 2),
      }
  
file_path: lightning-flash/tests/tabular/forecasting/test_model.py
imports: from typing import Any
  import flash
  import pytest
  import torch
  from flash import DataKeys
  from flash.core.utilities.imports import _TOPIC_TABULAR_AVAILABLE
  from flash.tabular.forecasting import TabularForecaster
  from torch import Tensor
  from tests.helpers.task_tester import StaticDataset, TaskTester
label_desc: Use image node_id 1 for calling the TestTabularForecaster obj's underlying member method code with example usage: obj.example_forward_input() and returns: dict