docstr: ivy.Container static method variant of ivy.adaptive_avg_pool1d. This
  method simply wraps the function, and so the docstring for
  ivy.adaptive_avg_pool1d also applies to this method with minimal
  changes.
  
  Parameters
  ----------
  input
      Input array. Must have shape (N, C, L_in) or (C, L_in) where N is
      the batch dimension, C is the feature dimension, and L_in is the spatial
      dimension.
  output_size
      Spatial output size.
  
  Returns
  -------
      The result of the pooling operation. Will have shape (N, C, L_out) or
      (C, L_out), where L_out = `output_size`
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code: def static_adaptive_avg_pool1d(
      input: Union[ivy.Array, ivy.NativeArray, ivy.Container],
      output_size: Union[int, 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,
  ) -> ivy.Container:
      """ivy.Container static method variant of ivy.adaptive_avg_pool1d. This
      method simply wraps the function, and so the docstring for
      ivy.adaptive_avg_pool1d also applies to this method with minimal
      changes.
  
      Parameters
      ----------
      input
          Input array. Must have shape (N, C, L_in) or (C, L_in) where N is
          the batch dimension, C is the feature dimension, and L_in is the spatial
          dimension.
      output_size
          Spatial output size.
  
      Returns
      -------
          The result of the pooling operation. Will have shape (N, C, L_out) or
          (C, L_out), where L_out = `output_size`
      """
      return ContainerBase.cont_multi_map_in_function(
          "adaptive_avg_pool1d",
          input,
          output_size,
          key_chains=key_chains,
          to_apply=to_apply,
          prune_unapplied=prune_unapplied,
          map_sequences=map_sequences,
      )
  
imports: from typing import Optional, Union, List, Dict, Tuple, Literal, Sequence, Callable
  import ivy
  from ivy.data_classes.container.base import ContainerBase
label_desc: Use image node_id 27 for calling the _ContainerWithLayersExperimental obj's underlying member method code with example usage: obj.static_adaptive_avg_pool1d(input, output_size) and returns: ContainerBase