docstr: Parameters
  ----------
  x
  slope
  key_chains
  to_apply
  prune_unapplied
  map_sequences
  out
docstr_tok: ["Parameters","--","--","--","--","--","x","slope","key_chains","to_apply","prune_unapplied","map_sequences","out"]
code: def static_prelu(
      x: Union[ivy.NativeArray, ivy.Array, ivy.Container],
      slope: Union[float, ivy.NativeArray, ivy.Array, ivy.Container],
      /,
      *,
      key_chains: Optional[
          Union[List[str], Dict[str, str], ivy.Container]
      ] = None,
      to_apply: Union[bool, ivy.Container] = True,
      prune_unapplied: Union[bool, ivy.Container] = False,
      map_sequences: Union[bool, ivy.Container] = False,
      out: Optional[ivy.Container] = None,
  ) -> ivy.Container:
      """
  
      Parameters
      ----------
      x
      slope
      key_chains
      to_apply
      prune_unapplied
      map_sequences
      out
      """
      return ContainerBase.cont_multi_map_in_function(
          "prelu",
          x,
          slope,
          key_chains=key_chains,
          to_apply=to_apply,
          prune_unapplied=prune_unapplied,
          map_sequences=map_sequences,
          out=out,
      )
  
imports: from typing import Union, Optional, List, Dict, Literal
  import ivy
  from ivy.data_classes.container.base import ContainerBase
label_desc: Use image node_id 5 for calling the _ContainerWithActivationExperimental obj's underlying member method code with example usage: obj.static_prelu() and returns: ContainerBase