code: def update_consumers(consumers, old_tensor, new_tensor):
      """
      For each consumer's inputs, replace old_tensor with new_tensor.
  
      Be careful using op.consumers() directly as an argument,
      since this causes incorrect list iteration.
  
      Args:
          consumers (List[Operation]): The consumer ops in the graph to be modified.
          old_tensor (Tensor): The tensor whose link to its consumer will be removed
          new_tensor (Tensor): The tensor which will replace old_tensor
      """
      for consumer_op in consumers:
          for i, x in enumerate(consumer_op.inputs):
              if x == old_tensor:
                  consumer_op._update_input(i, new_tensor)
  
file_path: autodist/autodist/kernel/common/utils.py
imports: from collections import deque
  from tensorflow.core.framework.attr_value_pb2 import AttrValue
  from tensorflow.python.util.compat import as_bytes
  from autodist.const import AUTODIST_REPLICA_PREFIX, COLOCATION_PREFIX
label_desc: Use image node_id 10 for calling a global function with example usage: update_consumers(consumers, old_tensor, new_tensor) without return types