code: def attribute(
      self,
      inputs: TensorOrTupleOfTensorsGeneric,
      baselines: BaselineType = None,
      target: TargetType = None,
      additional_forward_args: Any = None,
      return_convergence_delta: Literal[False] = False,
  ) -> TensorOrTupleOfTensorsGeneric:
      ...
  
imports: import typing
  from typing import Any, Callable, Tuple, Union
  import numpy
  import torch
  from captum._utils.common import _is_tuple
  from captum._utils.typing import BaselineType, Literal, TargetType, Tensor, TensorOrTupleOfTensorsGeneric
  from captum.attr._core.noise_tunnel import NoiseTunnel
  from captum.attr._utils.attribution import GradientAttribution
  from captum.attr._utils.common import _compute_conv_delta_and_format_attrs, _format_callable_baseline, _format_input_baseline
  from captum.log import log_usage
label_desc: Use image node_id 3 for calling the InputBaselineXGradient obj's underlying member method code with example usage: obj.attribute(inputs, baselines, target, additional_forward_args, return_convergence_delta) without return types