code: def gammaln(x, out=None, where=None, **kwargs):
      """
      Logarithm of the absolute value of the Gamma function.
  
      Parameters
      ----------
      x : array-like
          Values on the real line at which to compute ``gammaln``
      out : Tensor, None, or tuple of Tensor and None, optional
          A location into which the result is stored. If provided, it must have
          a shape that the inputs broadcast to. If not provided or `None`,
          a freshly-allocated tensor is returned. A tuple (possible only as a
          keyword argument) must have length equal to the number of outputs.
      where : array_like, optional
          Values of True indicate to calculate the ufunc at that position, values
          of False indicate to leave the value in the output alone.
      **kwargs
  
      Returns
      -------
      gammaln : Tensor
          Values of ``gammaln`` at x.
  
      See Also
      --------
      gammasgn : sign of the gamma function
      loggamma : principal branch of the logarithm of the gamma function
  
      Notes
      -----
      When used in conjunction with `gammasgn`, this function is useful
      for working in logspace on the real axis without having to deal with
      complex numbers, via the relation ``exp(gammaln(x)) = gammasgn(x)*gamma(x)``.
  
      For complex-valued log-gamma, use `loggamma` instead of `gammaln`.
      """
      op = TensorGammaln(**kwargs)
      return op(x, out=out, where=where)
  
imports: import scipy.special
  from ..arithmetic.utils import arithmetic_operand
  from ..utils import infer_dtype, implement_scipy
  from .core import TensorSpecialUnaryOp, TensorSpecialMultiOp, TensorSpecialBinOp, _register_special_op
label_desc: Use image node_id 2 for calling a global function with example usage: gammaln(x, out, where) and returns: op