float rmin, rmax;
  if (&semantics == &APFloat::IEEEsingle()) {
    rmin = op.getMin().convertToFloat();
    rmax = op.getMax().convertToFloat();
  } else {
    rmin = op.getMin().convertToDouble();
    rmax = op.getMax().convertToDouble();
  }
  // Range boundaries must be valid.
  if (rmin >= rmax) {

                 element_type)) {
    std::vector<float> mins = {static_cast<float>(qtype.getMin())};
    std::vector<float> maxs = {static_cast<float>(qtype.getMax())};
    q_params = tflite::CreateQuantizationParameters(
        builder_, builder_.CreateVector<float>(mins),
        builder_.CreateVector<float>(maxs));
  }
  return tflite::CreateTensor(

          "interval": "1m",
          "legendFormat": "{{server}}",
          "refId": "A"
        }
      ],
      "title": "Backlog (last 5 mins)",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },
      "fieldConfig": {
        "defaults": {

		{name: "LoweredFMAXS", argLength: 2, reg: fp21, resultNotInArgs: true, asm: "FMAXS", commutative: true, typ: "Float32"},             // max(arg0, arg1)
		{name: "LoweredFMINS", argLength: 2, reg: fp21, resultNotInArgs: true, asm: "FMINS", commutative: true, typ: "Float32"},             // min(arg0, arg1)

		// D extension.

		{name: "FMIND", argLength: 2, reg: fp21, asm: "FMIND"},                                // min(arg0, arg1)
		{name: "FMINS", argLength: 2, reg: fp21, asm: "FMINS"},                                // min(arg0, arg1)
		{name: "FMAXD", argLength: 2, reg: fp21, asm: "FMAXD"},                                // max(arg0, arg1)

	//TODO VFMAXP V3.S2, F27                   // 7bf8307e
	//TODO VFMAXP V29.S2, V30.S2, V9.S2        // c9f73d2e
	//TODO VFMAXV V13.S4, F14                  // aef9306e
	//TODO VFMIN V19.D2, V30.D2, V7.D2         // c7f7f34e
	FMINS F26, F18, F30                        // 5e5a3a1e
	FMIND F29, F4, F21                         // 95587d1e
	//TODO VFMINNM V21.S4, V5.S4, V1.S4        // a1c4b54e
	FMINNMS F23, F20, F1                       // 817a371e

// Note that this trick depends on the special property that (NaN OR x) produces a NaN (although
// it might not produce the same NaN as the input).
(Min(64|32)F <t> x y) => (POR (MINS(D|S) <t> (MINS(D|S) <t> x y) x) (MINS(D|S) <t> x y))
// Floating-point max is even trickier. Punt to using min instead.
// max(x,y) == -min(-x,-y)
(Max(64|32)F <t> x y) => (Neg(64|32)F <t> (Min(64|32)F <t> (Neg(64|32)F <t> x) (Neg(64|32)F <t> y)))

             'compilation to reduce the compilation time?'),
      'Eigen strong inline overridden.', 'Not overriding eigen strong inline, '
      'some compilations could take more than 20 mins.'):
    # Due to a known MSVC compiler issue
    # https://github.com/tensorflow/tensorflow/issues/10521
    # Overriding eigen strong inline speeds up the compiling of

the Prism HG and EI.


_PROP._ IX. PROB. IV.

_By the discovered Properties of Light to explain the Colours of the
Rain-bow._

[Illustration: FIG. 14.]

This Bow never appears, but where it rains in the Sun-shine, and may be
made artificially by spouting up Water which may break aloft, and
scatter into Drops, and fall down like Rain. For the Sun shining upon

happens by taking the Line C _prt_ B any where between the Ends of the Prism HG and EI. _PROP._ IX. PROB. IV. _By the discovered Properties of Light to explain the Colours of the Rain-bow._ [Illustration: FIG. 14.] This Bow never appears, but where it rains in the Sun-shine, and may be made artificially by spouting up Water which may break aloft, and scatter into Drops, and fall down like Rain. For the Sun shining upon these Drops certainly causes the Bow to appear to a Spectator standing in a due Position...