code: def nearest_integer_division(tensor, integer):
      """Performs division of integer tensor, rounding to nearest integer."""
      assert integer > 0, "only supports positive divisors"
      assert is_int_tensor(tensor), "unsupported type: %s" % type(
          tensor
      )
  
      lez = (tensor < 0).long()
      pos_remainder = (1 - lez) * tensor % integer
      neg_remainder = lez * ((integer - tensor) % integer)
      remainder = pos_remainder + neg_remainder
      quotient = tensor.div(integer, rounding_mode="trunc")
      correction = (2 * remainder > integer).long()
      return quotient + tensor.sign() * correction
  
file_path: CrypTen/crypten/encoder.py
imports: import math
  import numpy
  import torch
  from .common.tensor_types import is_float_tensor, is_int_tensor
  from .config import cfg
  from .cryptensor import CrypTensor
label_desc: Use image node_id 1 for calling a global function with example usage: nearest_integer_division(tensor, integer) and returns: unknown