code: def arange(start, stop=None, step=1, dtype="float32"):
      """Creates a tensor with evenly spaced values within a given interval.
  
      Parameters
      ----------
      start : tvm.Expr, optional
          Start of interval. The interval includes this value. The default start
          value is 0.
  
      stop : tvm.Expr
          Stop of interval. The interval does not include this value.
  
      step : tvm.Expr, optional
          Spacing between values. The default step size is 1.
  
      dtype : str, optional
          The target data type.
  
      Returns
      -------
      result : tvm.te.Tensor
          The resulting tensor.
      """
      if stop is None:
          stop = start
          start = 0
      return cpp.arange(start, stop, step, dtype)
  
imports: from __future__ import absolute_import
  import tvm
  from tvm import te, topi
  from tvm.te import hybrid
  from .None import cpp, tag
  from .utils import const_vector, make_idx, within_index
label_desc: Use image node_id 19 for calling a global function with example usage: arange(start, stop, step, dtype) and returns: cpp