docstr: ivy.Container instance method variant of ivy.slogdet. This method
  simply wraps the function, and so the docstring for ivy.slogdet also
  applies to this method with minimal changes.
  
  Parameters
  ----------
  self
      input container having shape (..., M, M) and whose innermost two dimensions
      form square matrices. Should have a floating-point data type.
  key_chains
      The key-chains to apply or not apply the method to. Default is ``None``.
  to_apply
      If True, the method will be applied to key_chains, otherwise key_chains
      will be skipped. Default is ``True``.
  prune_unapplied
      Whether to prune key_chains for which the function was not applied.
      Default is ``False``.
  map_sequences
      Whether to also map method to sequences (lists, tuples).
      Default is ``False``.
  
  Returns
  -------
  ret
      This function returns container containing NamedTuples.
      Each NamedTuple of output will have -
          sign:
          An array of a number representing the sign of the determinant of each
          square.
  
          logabsdet:
          An array of the natural log of the absolute value of the determinant of
          each square.
  
  Examples
  --------
  >>> x = ivy.Container(a=ivy.array([[1.0, 2.0],
  ...                                [3.0, 4.0]]),
  ...                   b=ivy.array([[1.0, 2.0],
  ...                                [2.0, 1.0]]))
  >>> y = x.slogdet()
  >>> print(y)
  [{
      a: ivy.array(-1.),
      b: ivy.array(-1.)
  }, {
      a: ivy.array(0.69314718),
      b: ivy.array(1.09861231)
  }]
code: def slogdet(
      self: 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 instance method variant of ivy.slogdet. This method
      simply wraps the function, and so the docstring for ivy.slogdet also
      applies to this method with minimal changes.
  
      Parameters
      ----------
      self
          input container having shape (..., M, M) and whose innermost two dimensions
          form square matrices. Should have a floating-point data type.
      key_chains
          The key-chains to apply or not apply the method to. Default is ``None``.
      to_apply
          If True, the method will be applied to key_chains, otherwise key_chains
          will be skipped. Default is ``True``.
      prune_unapplied
          Whether to prune key_chains for which the function was not applied.
          Default is ``False``.
      map_sequences
          Whether to also map method to sequences (lists, tuples).
          Default is ``False``.
  
      Returns
      -------
      ret
          This function returns container containing NamedTuples.
          Each NamedTuple of output will have -
              sign:
              An array of a number representing the sign of the determinant of each
              square.
  
              logabsdet:
              An array of the natural log of the absolute value of the determinant of
              each square.
  
      Examples
      --------
      >>> x = ivy.Container(a=ivy.array([[1.0, 2.0],
      ...                                [3.0, 4.0]]),
      ...                   b=ivy.array([[1.0, 2.0],
      ...                                [2.0, 1.0]]))
      >>> y = x.slogdet()
      >>> print(y)
      [{
          a: ivy.array(-1.),
          b: ivy.array(-1.)
      }, {
          a: ivy.array(0.69314718),
          b: ivy.array(1.09861231)
      }]
      """
      return self._static_slogdet(
          self,
          key_chains=key_chains,
          to_apply=to_apply,
          prune_unapplied=prune_unapplied,
          map_sequences=map_sequences,
      )
  
imports: from typing import Union, Optional, Tuple, Literal, List, Dict, Sequence
  from ivy.data_classes.container.base import ContainerBase
  import ivy
label_desc: Use image node_id 36 for calling the _ContainerWithLinearAlgebra obj's underlying member method code with example usage: obj.slogdet() and returns: self