}
	switch v.Kind() {
	case Int:
		return rangeNum[int](v.Int())
	case Int8:
		return rangeNum[int8](v.Int())
	case Int16:
		return rangeNum[int16](v.Int())
	case Int32:
		return rangeNum[int32](v.Int())
	case Int64:
		return rangeNum[int64](v.Int())
	case Uint:
		return rangeNum[uint](v.Uint())
	case Uint8:
		return rangeNum[uint8](v.Uint())
	case Uint16:
		return rangeNum[uint16](v.Uint())
	case Uint32:

   (TF_SelectV2Op:$num_upper_or_n (TF_LessOp $num_upper, $zero),
                                  $n, $num_upper),
   (TF_RangeOp:$range_m $zero, $m, $one),
   (TF_RangeOp:$range_n $zero, $n, $one),
   (TF_SubOp:$offset (TF_ExpandDimsOp $range_m, $neg_one), $range_n),
   (TF_LogicalAndOp:$indicator (TF_LessEqualOp $offset, $num_lower_or_m),
                               (TF_GreaterEqualOp $offset,

	infosym, _, rangesym, _ := d.ldr.GetFuncDwarfAuxSyms(fnSym)
	if infosym == 0 {
		return
	}
	d.ldr.SetAttrNotInSymbolTable(infosym, true)
	d.ldr.SetAttrReachable(infosym, true)
	unit.FuncDIEs = append(unit.FuncDIEs, sym.LoaderSym(infosym))
	if rangesym != 0 {
		d.ldr.SetAttrNotInSymbolTable(rangesym, true)
		d.ldr.SetAttrReachable(rangesym, true)

  // CHECK-DAG: %[[RANGE_M:.*]] = "tf.Range"(%[[ZERO]], %[[M]], %[[ONE]]) : (tensor<i32>, tensor<i32>, tensor<i32>) -> tensor<?xi32>
  // CHECK-DAG: %[[RANGE_N:.*]] = "tf.Range"(%[[ZERO]], %[[N]], %[[ONE]]) : (tensor<i32>, tensor<i32>, tensor<i32>) -> tensor<?xi32>
  // CHECK-DAG: %[[EXPAND_DIMS:.*]] = "tf.ExpandDims"(%[[RANGE_M]], %[[NEG_ONE]]) : (tensor<?xi32>, tensor<i32>) -> tensor<?x1xi32>