code: def dummy_func(X: torch.Tensor) -> torch.Tensor:
      return X
  
imports: import dataclasses
  from typing import Any, Dict
  from unittest import mock
  import torch
  from ax.core.search_space import SearchSpaceDigest
  from ax.models.torch.botorch_kg import _instantiate_KG, KnowledgeGradient
  from ax.models.torch_base import TorchOptConfig
  from ax.utils.common.testutils import TestCase
  from ax.utils.testing.mock import fast_botorch_optimize
  from botorch.acquisition.analytic import PosteriorMean
  from botorch.acquisition.fixed_feature import FixedFeatureAcquisitionFunction
  from botorch.acquisition.knowledge_gradient import qMultiFidelityKnowledgeGradient
  from botorch.acquisition.monte_carlo import qSimpleRegret
  from botorch.acquisition.objective import LinearMCObjective, ScalarizedPosteriorTransform
  from botorch.exceptions.errors import UnsupportedError
  from botorch.models.transforms.input import Warp
  from botorch.sampling.normal import IIDNormalSampler, SobolQMCNormalSampler
  from botorch.utils.datasets import SupervisedDataset
label_desc: Use image node_id 1 for calling a global function with example usage: dummy_func(X) and returns: X