code: def static_gradient(
      x: Union[ivy.Array, ivy.NativeArray, 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,
      spacing: Union[int, list, tuple, ivy.Container] = 1,
      edge_order: Union[int, ivy.Container] = 1,
      axis: Optional[Union[int, list, tuple, ivy.Container]] = None,
  ) -> ivy.Container:
      return ContainerBase.cont_multi_map_in_function(
          "gradient",
          x,
          key_chains=key_chains,
          to_apply=to_apply,
          prune_unapplied=prune_unapplied,
          map_sequences=map_sequences,
          spacing=spacing,
          edge_order=edge_order,
          axis=axis,
      )
  
imports: from typing import Optional, Union, List, Dict, Tuple, Sequence
  from numbers import Number
  import ivy
  from ivy.data_classes.container.base import ContainerBase
label_desc: Use image node_id 35 for calling the _ContainerWithElementWiseExperimental obj's underlying member method code with example usage: obj.static_gradient() and returns: ContainerBase