code: def _resampler_grad(
      op: types.TensorLike, grad_output: types.TensorLike
  ) -> tf.Tensor:
      data, warp = op.inputs
      grad_output_tensor = tf.convert_to_tensor(
          grad_output, name="grad_output"
      )
      return _resampler_so.ops.addons_resampler_grad(
          data, warp, grad_output_tensor
      )
  
imports: import tensorflow
  from tensorflow_addons.utils import types
  from tensorflow_addons.utils.resource_loader import LazySO
  from typing import Optional
label_desc: Use image node_id 2 for calling a global function with example usage: _resampler_grad(op, grad_output) and returns: _resampler_so