*
 * <pre>{@code
 * public static double sqrt(double value) {
 *   if (value < 0) {
 *     throw new IllegalArgumentException("input is negative: " + value);
 *   }
 *   // calculate square root
 * }
 * }</pre>
 *
 * <p>to be replaced with the more compact
 *
 * <pre>{@code
 * public static double sqrt(double value) {
 *   checkArgument(value >= 0, "input is negative: %s", value);

(Cvt64Fto32F ...) => (FRSP ...)

(CvtBoolToUint8 ...) => (Copy ...)

(Round(32|64)F ...) => (LoweredRound(32|64)F ...)

(Sqrt ...) => (FSQRT ...)
(Sqrt32 ...) => (FSQRTS ...)
(Floor ...) => (FFLOOR ...)
(Ceil ...) => (FCEIL ...)
(Trunc ...) => (FTRUNC ...)
(Round ...) => (FROUND ...)
(Copysign x y) => (FCPSGN y x)
(Abs ...) => (FABS ...)

   *      = ImmutableListMultimap.of("a", 4, "a", 16, "b", 9);
   * Function<Integer, Double> sqrt =
   *     new Function<Integer, Double>() {
   *       public Double apply(Integer in) {
   *         return Math.sqrt((int) in);
   *       }
   *     };
   * ListMultimap<String, Double> transformed = Multimaps.transformValues(map,
   *     sqrt);
   * System.out.println(transformed);
   * }</pre>
   *

   *      = ImmutableListMultimap.of("a", 4, "a", 16, "b", 9);
   * Function<Integer, Double> sqrt =
   *     new Function<Integer, Double>() {
   *       public Double apply(Integer in) {
   *         return Math.sqrt((int) in);
   *       }
   *     };
   * ListMultimap<String, Double> transformed = Multimaps.transformValues(map,
   *     sqrt);
   * System.out.println(transformed);
   * }</pre>
   *

		{name: "FSQRTD", argLength: 1, reg: fp11, asm: "FSQRTD"},                              // sqrt(arg0), float64
		{name: "FSQRTS", argLength: 1, reg: fp11, asm: "FSQRTS"},                              // sqrt(arg0), float32
		{name: "FMIND", argLength: 2, reg: fp21, asm: "FMIND"},                                // min(arg0, arg1)

(Select1 (Sub64borrow x y c))
  => (NEG (Select0 <typ.UInt64> (SUBE (MOVDconst [0]) (MOVDconst [0]) (Select1 <types.TypeFlags> (SUBE x y (Select1 <types.TypeFlags> (SUBC (MOVDconst [0]) c)))))))

// math package intrinsics
(Sqrt      ...) => (FSQRT ...)
(Floor       x) => (FIDBR [7] x)
(Ceil        x) => (FIDBR [6] x)
(Trunc       x) => (FIDBR [5] x)
(RoundToEven x) => (FIDBR [4] x)
(Round       x) => (FIDBR [1] x)
(FMA     x y z) => (FMADD z x y)

	FRIN F1, F2                     // fc400b10
	FRINCC F1, F2                   // fc400b11
	FRSQRTE F1, F2                  // fc400834
	FRSQRTECC F1, F2                // fc400835
	FSQRT F1, F2                    // fc40082c
	FSQRTCC F1, F2                  // fc40082d
	FSQRTS F1, F2                   // ec40082c
	FSQRTSCC F1, F2                 // ec40082d
	FCPSGN F1, F2                   // fc420810

		// have one chunk. We want to run as many parallel scripts as possible, but
		// also want to give each script as high a limit as possible.
		// We arbitrarily split by sqrt(n) to try to balance those two goals.
		netTestLimit := int(math.Sqrt(float64(n)))
		netTestSem = make(chan struct{}, netTestLimit)
		reducedLimit := fmt.Sprintf(",%s=%d", base.NetLimitGodebug.Name(), n/netTestLimit)

    assertEquals(ImmutableSet.of(1, 2, 3), bimap.inverse().keySet());
    assertEquals(ImmutableSet.of(1, 2, 3), sync.inverse().keySet());
  }

  private static final Function<Integer, Double> SQRT_FUNCTION = in -> Math.sqrt(in);

  public void testTransformValues() {
    Map<String, Integer> map = ImmutableMap.of("a", 4, "b", 9);
    Map<String, Double> transformed = transformValues(map, SQRT_FUNCTION);

}


def TF_L2LossOp : TF_Op<"L2Loss", [Pure]> {
  let summary = "L2 Loss.";

  let description = [{
Computes half the L2 norm of a tensor without the `sqrt`:

    output = sum(t ** 2) / 2
  }];

  let arguments = (ins
    Arg<TF_FloatTensor, [{Typically 2-D, but may have any dimensions.}]>:$x
  );

  let results = (outs