// tensorflow/lite/kernels/range.cc.
  return std::is_integral<FloatOrInt>::value
             ? ((std::abs(limit - start) + std::abs(delta) - 1) /
                std::abs(delta))
             : std::ceil(std::abs((limit - start) / delta));
}

// Builds a constant range tensor of `result_elem_type` elements.
// Template parameter `FloatOrIntAtrr` must be mlir::IntegerAttr or
// mlir::FloatAttr.

(Neg(64|32|16|8) ...) => (NEG ...)
(Neg(32|64)F     ...) => (FNEG(S|D) ...)
(Com(64|32|16|8) ...) => (MVN ...)

// math package intrinsics
(Abs         ...) => (FABSD   ...)
(Sqrt        ...) => (FSQRTD  ...)
(Ceil        ...) => (FRINTPD ...)
(Floor       ...) => (FRINTMD ...)
(Round       ...) => (FRINTAD ...)
(RoundToEven ...) => (FRINTND ...)
(Trunc       ...) => (FRINTZD ...)
(FMA       x y z) => (FMADDD z x y)

      // write, we won't see copying because of the new threshold. So it is always OK to use the
      // calculation here.
      return (int) Math.ceil(expectedSize / 0.75);
    }
    return Integer.MAX_VALUE; // any large value
  }

  /**
   * Creates a <i>mutable</i>, empty, insertion-ordered {@code LinkedHashMap} instance.
   *

      // write, we won't see copying because of the new threshold. So it is always OK to use the
      // calculation here.
      return (int) Math.ceil(expectedSize / 0.75);
    }
    return Integer.MAX_VALUE; // any large value
  }

  /**
   * Creates a <i>mutable</i>, empty, insertion-ordered {@code LinkedHashMap} instance.
   *

		func(s *state, n *ir.CallExpr, args []*ssa.Value) *ssa.Value {
			return s.newValue1(ssa.OpTrunc, types.Types[types.TFLOAT64], args[0])
		},
		sys.ARM64, sys.PPC64, sys.S390X, sys.Wasm)
	addF("math", "Ceil",
		func(s *state, n *ir.CallExpr, args []*ssa.Value) *ssa.Value {
			return s.newValue1(ssa.OpCeil, types.Types[types.TFLOAT64], args[0])
		},
		sys.ARM64, sys.PPC64, sys.S390X, sys.Wasm)
	addF("math", "Floor",

	v_0 := v.Args[0]
	// match: (FCEIL (FMOVDconst [x]))
	// result: (FMOVDconst [math.Ceil(x)])
	for {
		if v_0.Op != OpPPC64FMOVDconst {
			break
		}
		x := auxIntToFloat64(v_0.AuxInt)
		v.reset(OpPPC64FMOVDconst)
		v.AuxInt = float64ToAuxInt(math.Ceil(x))
		return true
	}
	return false
}
func rewriteValuePPC64_OpPPC64FFLOOR(v *Value) bool {
	v_0 := v.Args[0]

							Type:        []string{"integer"},...

	return false
}
func rewriteValuegeneric_OpCeil(v *Value) bool {
	v_0 := v.Args[0]
	// match: (Ceil (Const64F [c]))
	// result: (Const64F [math.Ceil(c)])
	for {
		if v_0.Op != OpConst64F {
			break
		}
		c := auxIntToFloat64(v_0.AuxInt)
		v.reset(OpConst64F)
		v.AuxInt = float64ToAuxInt(math.Ceil(c))
		return true
	}
	return false
}
func rewriteValuegeneric_OpCom16(v *Value) bool {

          "format": "int32",...

    "FILL",
    "FLOOR_MOD",
    "RANGE",
    "RESIZE_NEAREST_NEIGHBOR",
    "LEAKY_RELU",
    "SQUARED_DIFFERENCE",
    "MIRROR_PAD",
    "ABS",
    "SPLIT_V",
    "UNIQUE",
    "CEIL",
    "REVERSE_V2",
    "ADD_N",
    "GATHER_ND",
    "COS",
    "WHERE",
    "RANK",
    "ELU",
    "REVERSE_SEQUENCE",
    "MATRIX_DIAG",
    "QUANTIZE",
    "MATRIX_SET_DIAG",