code: def _approx_top_k_abstract_eval(
      operand,
      *,
      k,
      reduction_dimension,
      recall_target,
      is_max_k,
      reduction_input_size_override,
      aggregate_to_topk,
  ):
      if k <= 0:
          raise ValueError(f"k must be positive, got {k}")
      if len(operand.shape) == 0:
          raise TypeError(
              "approx_top_k operand must have >= 1 dimension, got {}".format(
                  operand.shape
              )
          )
      dims = list(operand.shape)
      if dims[reduction_dimension] < k:
          raise ValueError(
              "k must be smaller than the size of reduction_dim {}, got {}".format(
                  dims[reduction_dimension], k
              )
          )
      if not dtypes.issubdtype(operand.dtype, np.floating):
          raise ValueError("operand must be a floating type")
      reduction_input_size = dims[reduction_dimension]
      dims[reduction_dimension] = xc.ops.ApproxTopKReductionOutputSize(
          reduction_input_size,
          len(dims),
          k,
          recall_target,
          aggregate_to_topk,
          reduction_input_size_override,
      )[0]
      return (
          operand.update(
              shape=dims,
              dtype=operand.dtype,
              weak_type=operand.weak_type,
          ),
          operand.update(shape=dims, dtype=np.dtype(np.int32)),
      )
  
imports: from functools import partial
  import numpy
  from jax._src import ad_util
  from jax._src import core
  from jax._src import dispatch
  from jax._src import dtypes
  from jax._src.interpreters import ad
  from jax._src.interpreters import batching
  from jax._src.interpreters import mlir
  from jax._src.interpreters import xla
  from jax._src.lax import lax
  from jax._src.lib import xla_client
  from jax._src.lib.mlir import ir
  from jax._src.lib.mlir.dialects import func
  from jax._src.lib.mlir.dialects import hlo
  from jax._src.typing import Array
label_desc: Use image node_id 3 for calling a global function with example usage: _approx_top_k_abstract_eval(operand) and returns: operand,  operand