code: def example_train_sample(self):
      return {
          DataKeys.INPUT: {
              "x_cat": torch.empty(60, 0, dtype=torch.int64),
              "x_cont": torch.zeros(60, 1),
              "encoder_target": torch.zeros(60),
              "encoder_length": 60,
              "decoder_length": 20,
              "encoder_time_idx_start": 1,
              "groups": torch.zeros(1),
              "target_scale": torch.zeros(2),
          },
          DataKeys.TARGET: (torch.rand(20), None),
      }
  
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 3 for calling the TestTabularForecaster obj's underlying member method code with example usage: obj.example_train_sample() and returns: dict