benchmarkIntSqr(b, n)
		})
	}
}

func benchmarkDiv(b *testing.B, aSize, bSize int) {
	var r = rand.New(rand.NewSource(1234))
	aa := randInt(r, uint(aSize))
	bb := randInt(r, uint(bSize))
	if aa.Cmp(bb) < 0 {
		aa, bb = bb, aa
	}
	x := new(Int)
	y := new(Int)

	b.ResetTimer()
	for i := 0; i < b.N; i++ {
		x.DivMod(aa, bb, y)
	}
}

      in_placeholder: Input tensor placeholder.
      output_tensor: The resulting tensor of the gather operation.
    """
    in_placeholder = array_ops.placeholder(input_type, shape=(6))

    filters = np.random.randn(128, 32).astype(np.float32)
    if use_variable_for_filter:
      filters = variables.Variable(filters)

    output_tensor = array_ops.gather_v2(filters, in_placeholder)

    return in_placeholder, output_tensor

}

// nextSuffix - provides a new unique suffix every time the function is called.
func nextSuffix() string {
	randmu.Lock()
	r := randN
	// Initial seed required, generate one.
	if r == 0 {
		r = reseed()
	}
	// constants from Numerical Recipes
	r = r*1664525 + 1013904223
	randN = r
	randmu.Unlock()
	return strconv.Itoa(int(1e9 + r%1e9))[1:]
}

// isSameType - compares two object types via reflect.TypeOf

	//
	//    - if baseInterval=10m, then 5m <= waitInterval() < 15m
	waitInterval := func() time.Duration {
		// Calculate a random value such that 0 <= value < baseInterval
		randAmt := time.Duration(r.Float64() * float64(baseInterval))
		return baseInterval/2 + randAmt
	}

	timer := time.NewTimer(waitInterval())
	defer timer.Stop()

	for {
		select {
		case <-timer.C: