code: def test_resample(self, input_param, input_data, expected_val):
      warp_layer = Warp(**input_param)
      result = warp_layer(**input_data)
      np.testing.assert_allclose(
          result.cpu().numpy(),
          expected_val.cpu().numpy(),
          rtol=1e-4,
          atol=1e-4,
      )
  
imports: from __future__ import annotations
  import os
  import unittest
  import numpy
  import torch
  from parameterized import parameterized
  from torch.autograd import gradcheck
  from monai.config.deviceconfig import USE_COMPILED
  from monai.networks.blocks.warp import Warp
  from monai.transforms import LoadImaged
  from monai.utils import GridSampleMode, GridSamplePadMode
  from tests.utils import SkipIfBeforePyTorchVersion, SkipIfNoModule, download_url_or_skip_test, skip_if_quick, testing_data_config
label_desc: Use image node_id 3 for calling the TestWarp obj's underlying member method code with example usage: obj.test_resample(input_param, input_data, expected_val) without return types