code: def fabs(x, out=None, where=None, **kwargs):
      """
      Compute the absolute values element-wise.
  
      This function returns the absolute values (positive magnitude) of the
      data in `x`. Complex values are not handled, use `absolute` to find the
      absolute values of complex data.
  
      Parameters
      ----------
      x : array_like
          The tensor of numbers for which the absolute values are required. If
          `x` is a scalar, the result `y` will also be a scalar.
      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 or scalar
          The absolute values of `x`, the returned values are always floats.
  
      See Also
      --------
      absolute : Absolute values including `complex` types.
  
      Examples
      --------
      >>> import mars.tensor as mt
  
      >>> mt.fabs(-1).execute()
      1.0
      >>> mt.fabs([-1.2, 1.2]).execute()
      array([ 1.2,  1.2])
      """
      op = TensorFabs(**kwargs)
      return op(x, out=out, where=where)
  
file_path: mars/mars/tensor/arithmetic/fabs.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: fabs(x, out, where) and returns: op