code: def conj(x, out=None, where=None, **kwargs):
      """
      Return the complex conjugate, element-wise.
  
      The complex conjugate of a complex number is obtained by changing the
      sign of its imaginary part.
  
      Parameters
      ----------
      x : array_like
          Input value.
      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
      -------
      y : Tensor
          The complex conjugate of `x`, with same dtype as `y`.
  
      Examples
      --------
      >>> import mars.tensor as mt
  
      >>> mt.conjugate(1+2j).execute()
      (1-2j)
  
      >>> x = mt.eye(2) + 1j * mt.eye(2)
      >>> mt.conjugate(x).execute()
      array([[ 1.-1.j,  0.-0.j],
             [ 0.-0.j,  1.-1.j]])
      """
      op = TensorConj(**kwargs)
      return op(x, out=out, where=where)
  
file_path: mars/mars/tensor/arithmetic/conj.py
imports: import numpy
  from ...None import opcodes
  from ..utils import infer_dtype
  from .core import TensorUnaryOp
  from .utils import arithmetic_operand
label_desc: Use image node_id 1 for calling a global function with example usage: conj(x, out, where) and returns: op