code: def _conv_general_vjp_rhs_padding(
      in_shape,
      window_dimensions,
      window_strides,
      out_shape,
      padding,
      lhs_dilation,
      rhs_dilation,
  ):
      if len(in_shape) == 0:  # 0D conv
          return []
      lhs_dilated_shape = lax._dilate_shape(in_shape, lhs_dilation)
      rhs_dilated_shape = lax._dilate_shape(
          window_dimensions, rhs_dilation
      )
      out_dilated_shape = lax._dilate_shape(out_shape, window_strides)
      pads_lo, _ = util.unzip2(padding)
      pads_from_lhs = map(
          operator.sub, out_dilated_shape, lhs_dilated_shape
      )
      pads_from_rhs = tuple(
          rd - pd - 1 for rd, pd in zip(rhs_dilated_shape, pads_lo)
      )
      pads_hi = tuple(map(operator.add, pads_from_lhs, pads_from_rhs))
      return list(zip(pads_lo, pads_hi))
  
imports: from __future__ import annotations
  from collections.abc import Sequence
  from functools import partial
  import operator
  from typing import NamedTuple, Union
  import numpy
  from jax._src import core
  from jax._src import dtypes
  from jax._src import util
  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.lib.mlir.dialects import hlo
  from jax._src.typing import Array, DTypeLike
label_desc: Use image node_id 22 for calling a global function with example usage: _conv_general_vjp_rhs_padding(in_shape, window_dimensions, window_strides, out_shape, padding, lhs_dilation, rhs_dilation) and returns: list, list