code: def _reduce_window_sum_transpose_rule(
      cotangent,
      operand,
      *,
      window_dimensions,
      window_strides,
      padding,
      base_dilation,
      window_dilation,
  ):
      assert ad.is_undefined_primal(operand)
      input_shape = operand.aval.shape
      pads = convolution._conv_general_vjp_lhs_padding(
          input_shape,
          window_dimensions,
          window_strides,
          cotangent.shape,
          padding,
          base_dilation,
          window_dilation,
      )
      ones = [1] * len(input_shape)
      padding_config = [
          (lo, hi, stride - 1)
          for (lo, hi), stride in zip(pads, window_strides)
      ]
      pad_cotangent = lax.pad(
          cotangent, lax._zero(cotangent), padding_config
      )
      result = _reduce_window_sum(
          pad_cotangent,
          window_dimensions,
          base_dilation,
          [(0, 0)] * len(input_shape),
          base_dilation=ones,
          window_dilation=window_dilation,
      )
      assert result.shape == input_shape, (result.shape, input_shape)
      return [result]
  
imports: from __future__ import annotations
  from collections.abc import Sequence
  from functools import partial
  from typing import Callable
  import warnings
  import numpy
  from jax import tree_util
  from jax._src import ad_util
  from jax._src import core
  from jax._src import dispatch
  from jax._src import dtypes
  from jax._src import util
  from jax._src.core import ShapedArray, ConcreteArray
  from jax._src.interpreters import ad
  from jax._src.interpreters import batching
  from jax._src.interpreters import mlir
  from jax._src.lax import lax
  from jax._src.lax import convolution
  from jax._src.lax import slicing
  from jax._src.lib.mlir import ir
  from jax._src.lib.mlir.dialects import hlo
  from jax._src.numpy.ufuncs import logaddexp
  from jax._src.typing import Array
label_desc: Use image node_id 15 for calling a global function with example usage: _reduce_window_sum_transpose_rule(cotangent, operand) and returns: list