code: def argmin(data, axis=None, keepdims=False, select_last_index=False):
      """Returns the indices of the minimum values along an axis.
  
      Parameters
      ----------
      data : tvm.te.Tensor
          The input tvm tensor
  
      axis : None or int or tuple of int
          Axis or axes along which a argmin operation is performed.
          The default, axis=None, will find the indices of minimum element all of the elements of
          the input array. If axis is negative it counts from the last to the first axis.
  
      keepdims : bool
          If this is set to True, the axes which are reduced are left in the result as dimensions
          with size one.
          With this option, the result will broadcast correctly against the input array.
  
      select_last_index: bool
          Whether to select the last index if the minimum element appears multiple times, else
          select the first index.
  
      Returns
      -------
      ret : tvm.te.Tensor
      """
      return cpp.argmin(data, axis, keepdims, select_last_index)
  
file_path: tvm/python/tvm/topi/reduction.py
imports: from __future__ import absolute_import
  from .None import cpp
label_desc: Use image node_id 8 for calling a global function with example usage: argmin(data, axis, keepdims, select_last_index) and returns: cpp