recurrent activation function for GRU from `hard_sigmoid` to `sigmoid`, and
    `reset_after` to True in 2.0. Historically recurrent activation is
    `hard_sigmoid` since it is fast than 'sigmoid'. With new unified backend
    between CPU and GPU mode, since the CuDNN kernel is using sigmoid, we change
    the default for CPU mode to sigmoid as well. With that, the default GRU will

	// Tests hashing order to be consistent.
	for i, testCase := range testCases {
		if sipHashElement := hashKey("SIPMOD", testCase.objectName, 200, testUUID); sipHashElement != testCase.sipHash {
			t.Errorf("Test case %d: Expected \"%v\" but failed \"%v\"", i+1, testCase.sipHash, sipHashElement)
		}
	}

	if sipHashElement := hashKey("SIPMOD", "This will fail", -1, testUUID); sipHashElement != -1 {

	formatErasureVersionV2DistributionAlgoV1 = "CRCMOD"

	// Distributed algorithm used, with N/2 default parity
	formatErasureVersionV3DistributionAlgoV2 = "SIPMOD"

	// Distributed algorithm used, with EC:4 default parity
	formatErasureVersionV3DistributionAlgoV3 = "SIPMOD+PARITY"
)

// Offline disk UUID represents an offline disk.
const offlineDiskUUID = "ffffffff-ffff-ffff-ffff-ffffffffffff"

		if err != nil {
			return err
		}
	}
	return nil
}

// hashes the key returning an integer based on the input algorithm.
// This function currently supports
// - CRCMOD
// - SIPMOD
// - all new algos.
func sipHashMod(key string, cardinality int, id [16]byte) int {
	if cardinality <= 0 {
		return -1
	}
	// use the faster version as per siphash docs