code: def slice_like(data, shape_like, axes=None):
      """Slice the first input with respect to the second input.
  
      For an input array with shape ``(d1, d2, ..., dk)``, `slice_like` operation slices the
      input array corresponding to the size of the second array. By default will slice on all axes.
  
      Parameters
      ----------
      data : relay.Expr
          The source array.
  
      shape_like : relay.Expr
          An array based on which shape, the result shape is computed.
  
      axes : Tuple[int] or List[int], optional
          List of axes on which input data will be sliced according to the corresponding size of
          the second input. By default will slice on all axes. Negative axes mean counting in reverse.
  
      Returns
      -------
      result : relay.Expr
          The computed result.
      """
      return _make.slice_like(data, shape_like, axes)
  
imports: from ...tir import expr
  from ..expr import Constant, Expr, Tuple, TupleWrapper, const
  from .None import _make
  from .dyn import _make
  from .tensor import shape_of
label_desc: Use image node_id 30 for calling a global function with example usage: slice_like(data, shape_like, axes) and returns: _make