@Test
                    public void testMultiply() {
                        Multiplier multiplier = new Multiplier();
                        Assert.assertEquals(1, multiplier.multiply(1, 1));
                        Assert.assertEquals(4, multiplier.multiply(2, 2));
                        Assert.assertEquals(2, multiplier.multiply(1, 2));
                    }
                }
            """

                        parameters.multiplier.set(2)
                    }
                    registerTransform(MakeColor) {
                        from.attribute(color, 'red')
                        to.attribute(color, 'green')
                        parameters.targetColor.set('green')
                        parameters.multiplier.set(1)
                    }
                }
            }

                     (Arith_ConstantOp:$multiplier F32ElementsAttr:$mul_value)),
// TODO(karimnosseir): Add check for $conv is of rank 4.
      (TF_Conv2DOp $input,
          (TF_MulOp (Arith_ConstantOp $filter_value, (location $filter)),
                    (Arith_ConstantOp $mul_value, (location $multiplier)),
                    (location $mul)),

    // have a corresponding 'depth_multiplier' attribute; the multiplier is the
    // fourth dimension in the 4-D filter tensor. We query the multiplier from
    // tf.DepthwiseConv2dNative and set it as the attribute value accordingly.
    auto multiplier =
        mlir::cast<RankedTensorType>(filter.getType()).getDimSize(3);

    filter = legalizeFilter(rewriter, loc, filter);

TEST(NumericalUtils, QuantizeMultiplier) {
  // Decompose multiplier larger than 1.
  ASSERT_FLOAT_EQ(ComposeScale(QuantizeMultiplier(1.0e6)), 1.0e6);
  ASSERT_FLOAT_EQ(ComposeScale(QuantizeMultiplier(1.0e3)), 1.0e3);
  ASSERT_FLOAT_EQ(ComposeScale(QuantizeMultiplier(10.)), 10.);
  ASSERT_FLOAT_EQ(ComposeScale(QuantizeMultiplier(5.)), 5.);
  ASSERT_FLOAT_EQ(ComposeScale(QuantizeMultiplier(2.)), 2.);

  // Decompose multiplier between 1.0 and 1e-6.

// creation and use, no reproducibility, no concurrency safety, just the
// necessary methods, optimized for speed.

var globalInc atomic.Uint64 // PCG stream

const multiplier uint64 = 6364136223846793005

// pcgRand is a PRNG. It should not be copied or shared. No Rand methods are
// concurrency safe.
type pcgRand struct {

	// This arithmetic must match that in runtime/stack.go:stackNosplit.
	return abi.StackNosplitBase * stackGuardMultiplier(race)
}

// stackGuardMultiplier returns a multiplier to apply to the default
// stack guard size. Larger multipliers are used for non-optimized
// builds that have larger stack frames or for specific targets.
func stackGuardMultiplier(race bool) int {

	if term.Matches(pod, nsLabels) {
		if tpValue, tpValueExist := node.Labels[term.TopologyKey]; tpValueExist {
			if m[term.TopologyKey] == nil {
				m[term.TopologyKey] = make(map[string]int64)
			}
			m[term.TopologyKey][tpValue] += int64(weight * multiplier)
		}
	}
}

// license that can be found in the LICENSE file.

package abi

const (
	// StackNosplitBase is the base maximum number of bytes that a chain of
	// NOSPLIT functions can use.
	//
	// This value must be multiplied by the stack guard multiplier, so do not
	// use it directly. See runtime/stack.go:stackNosplit and
	// cmd/internal/objabi/stack.go:StackNosplit.
	StackNosplitBase = 800

func (s *preFilterState) updateWithPod(pInfo *framework.PodInfo, node *v1.Node, multiplier int64) {
	if s == nil {
		return
	}

	s.existingAntiAffinityCounts.updateWithAntiAffinityTerms(pInfo.RequiredAntiAffinityTerms, s.podInfo.Pod, s.namespaceLabels, node, multiplier)
	s.affinityCounts.updateWithAffinityTerms(s.podInfo.RequiredAffinityTerms, pInfo.Pod, node, multiplier)