code: def _nearest_indices_and_weights(coordinate):
      coordinate = (
          coordinate
          if _is_integer(coordinate)
          else torch.round(coordinate)
      )
      index = coordinate.to(torch.int32)
      return [(index, 1)]
  
file_path: keras/keras/backend/torch/image.py
imports: import functools
  import itertools
  import operator
  import torch
  from keras.backend.torch.core import convert_to_tensor
label_desc: Use image node_id 6 for calling a global function with example usage: _nearest_indices_and_weights(coordinate) and returns: list