code: def reduce_window(
      operand,
      init,
      reducer,
      window_dimensions,
      window_strides=None,
      base_dilations=None,
      window_dilations=None,
      padding=None,
      name=None,
  ):
      """Wraps the XLA ReduceWindow operator.
  
      ReduceWindow is documented at
      https://www.tensorflow.org/performance/xla/operation_semantics#reducewindow .
  
      Args:
        operand: the input tensor
        init: a scalar tensor representing the initial value for the reduction
        reducer: a reduction function that combines a pair of scalars.
        window_dimensions: shape of the window, as a list of integers
        window_strides: inter-window strides, as a list of integers. Optional; if
          omitted, defaults to strides of 1.
        padding: padding to apply to 'operand'. List of (low, high) pairs of
          integers that specify the padding to apply before and after each
          dimension. Optional; if omitted, defaults to no padding.
        name: the operator name, or None.
  
      Returns:
        A tensor that represents the output of the reduce_window operator.
      """
      window_strides = window_strides or [1] * len(window_dimensions)
      base_dilations = base_dilations or [1] * len(window_dimensions)
      window_dilations = window_dilations or [1] * len(
          window_dimensions
      )
      padding = padding or [(0, 0)] * len(window_dimensions)
      return gen_xla_ops.xla_reduce_window(
          input=operand,
          init_value=init,
          window_dimensions=window_dimensions,
          window_strides=window_strides,
          base_dilations=base_dilations,
          window_dilations=window_dilations,
          padding=padding,
          computation=reducer,
          name=name,
      )
  
imports: from tensorflow.compiler.tf2xla.ops import gen_xla_ops
  from local_xla.xla import xla_data_pb2
  from tensorflow.core.framework import attr_value_pb2
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import bitwise_ops
  from tensorflow.python.ops import gen_math_ops
  from tensorflow.python.ops import gen_random_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import random_ops_util
  from tensorflow.python.ops import special_math_ops
  from tensorflow.python.ops.numpy_ops import np_utils
label_desc: Use image node_id 16 for calling a global function with example usage: reduce_window(operand, init, reducer, window_dimensions, window_strides, base_dilations, window_dilations, padding, name) and returns: gen_xla_ops