code: def rnn_bwd_abstract_eval(
      dy_aval,
      dhn_aval,
      dcn_aval,
      x_aval,
      h0_aval,
      c0_aval,  # type: ignore
      w_aval,
      y_aval,
      reserve_space_aval,
      seq_lengths_aval,
      input_size: int,
      hidden_size: int,
      num_layers: int,
      dropout: float,
      bidirectional: bool,
      cudnn_allow_tf32: bool,
  ):
      return x_aval, h0_aval, c0_aval, w_aval
  
imports: from functools import partial
  import math
  from typing import Any
  import jax
  import numpy
  from jax._src import core
  from jax.interpreters import mlir
  from jax.interpreters import xla
  from jax._src.custom_derivatives import custom_vjp
  from jax._src.typing import Array, Shape
  from jax._src.lax import lax
  import jax.numpy
label_desc: Use image node_id 19 for calling a global function with example usage: rnn_bwd_abstract_eval(dy_aval, dhn_aval, dcn_aval, x_aval, h0_aval, c0_aval, w_aval, y_aval, reserve_space_aval, seq_lengths_aval, input_size, hidden_size, num_layers, dropout, bidirectional, cudnn_allow_tf32) and returns: x_aval,  h0_aval,  c0_aval,  w_aval