code: def unnormalize_imgnet(input_tensors):
      return (input_tensors + 1.0) / 2.0
  
imports: import functools
  from typing import Any, Callable, Dict, Optional, Tuple, Type
  from clu import metric_writers
  from clu import periodic_actions
  from clu import platform
  from flax import jax_utils
  import flax.linen
  import jax
  from jax.example_libraries.optimizers import clip_grads
  import jax.numpy
  import jax.profiler
  import ml_collections
  import numpy
  import optax
  from scenic.dataset_lib import dataset_utils
  from scenic.model_lib.base_models import base_model
  from scenic.projects.adversarialtraining import train_utils
  from scenic.projects.adversarialtraining.attacks import attack_compute
  from scenic.projects.adversarialtraining.attacks import attack_metrics
  from scenic.projects.adversarialtraining.models import models
  from scenic.train_lib import lr_schedules
  from scenic.train_lib import optimizers
  from scenic.train_lib import train_utils
label_desc: Use image node_id 1 for calling a global function with example usage: unnormalize_imgnet(input_tensors) and returns: unknown