code: def _validate_topk_arguments(
      a, k, axis, largest, sorted, order, parallel_kind, psrs_kinds
  ):
      a = astensor(a)
      if axis is None:
          a = a.flatten()
          axis = 0
      else:
          axis = validate_axis(a.ndim, axis)
      # if a is structure type and order is not None
      order = validate_order(a.dtype, order)
      if parallel_kind.lower() not in {"auto", "tree", "psrs"}:
          raise ValueError(
              "`parallel_kind` could only be `auto`, `tree`, or `psrs`"
          )
      # if psrs is chosen, sort will be used,
      # psrs_kinds will be passed into it, so use the validation logic in sort
      psrs_kinds = _validate_sort_psrs_kinds(psrs_kinds)
      return (
          a,
          k,
          axis,
          largest,
          sorted,
          order,
          parallel_kind,
          psrs_kinds,
      )
  
imports: import itertools
  import numpy
  from ...None import opcodes
  from ...config import options
  from ...core import ExecutableTuple, recursive_tile
  from ...core.operand import OperandStage
  from ...serialization.serializables import FieldTypes, KeyField, Int64Field, Int32Field, BoolField, StringField, ListField
  from ...utils import ceildiv, flatten
  from ..array_utils import as_same_device, device
  from ..core import TensorOrder
  from ..datasource import tensor
  from ..operands import TensorOperand, TensorOperandMixin
  from ..utils import validate_axis, validate_order
  from .sort import _validate_sort_psrs_kinds
label_desc: Use image node_id 3 for calling a global function with example usage: _validate_topk_arguments(a, k, axis, largest, sorted, order, parallel_kind, psrs_kinds) and returns: a,  k,  axis,  largest,  sorted,  order,  parallel_kind,  psrs_kinds