code: def instantiate_transforms(transform_options):
      """Creates a torch_geometric composite transform from an OmegaConf list such as
      - transform: GridSampling3D
          params:
              size: 0.01
      - transform: NormaliseScale
      """
      transforms = []
      for transform in transform_options:
          transforms.append(instantiate_transform(transform))
      return T.Compose(transforms)
  
imports: import sys
  import numpy
  import torch_geometric.transforms
  from .transforms import *
  from .grid_transform import *
  from .sparse_transforms import *
  from .inference_transforms import *
  from .feature_augment import *
  from .features import *
  from .filters import *
  from .precollate import *
  from .prebatchcollate import *
  from omegaconf.dictconfig import DictConfig
  from omegaconf.listconfig import ListConfig
  from omegaconf import OmegaConf
label_desc: Use image node_id 2 for calling a global function with example usage: instantiate_transforms(transform_options) and returns: T