0xc5e: 0x0040, 0xc5f: 0x0040, 0xc60: 0x0018, 0xc61: 0x0018, 0xc62: 0x0018, 0xc63: 0x0018,
	0xc64: 0x0018, 0xc65: 0x0018, 0xc66: 0x0018, 0xc67: 0x0018, 0xc68: 0x1ff1, 0xc69: 0x0018,
	0xc6a: 0x0018, 0xc6b: 0x0018, 0xc6c: 0x0018, 0xc6d: 0x0018, 0xc6e: 0x0018, 0xc6f: 0x0018,
	0xc70: 0x0018, 0xc71: 0x0018, 0xc72: 0x0018, 0xc73: 0x0018, 0xc74: 0x0018, 0xc75: 0x0018,
	0xc76: 0x0018, 0xc77: 0x0018, 0xc78: 0x0018, 0xc79: 0x0018, 0xc7a: 0x0018, 0xc7b: 0x0018,

	0xc5e: 0x0040, 0xc5f: 0x0040, 0xc60: 0x0018, 0xc61: 0x0018, 0xc62: 0x0018, 0xc63: 0x0018,
	0xc64: 0x0018, 0xc65: 0x0018, 0xc66: 0x0018, 0xc67: 0x0018, 0xc68: 0x1ff1, 0xc69: 0x0018,
	0xc6a: 0x0018, 0xc6b: 0x0018, 0xc6c: 0x0018, 0xc6d: 0x0018, 0xc6e: 0x0018, 0xc6f: 0x0018,
	0xc70: 0x0018, 0xc71: 0x0018, 0xc72: 0x0018, 0xc73: 0x0018, 0xc74: 0x0018, 0xc75: 0x0018,
	0xc76: 0x0018, 0xc77: 0x0018, 0xc78: 0x0018, 0xc79: 0x0018, 0xc7a: 0x0018, 0xc7b: 0x0018,

	0xc1e: 0x0040, 0xc1f: 0x0040, 0xc20: 0x0018, 0xc21: 0x0018, 0xc22: 0x0018, 0xc23: 0x0018,
	0xc24: 0x0018, 0xc25: 0x0018, 0xc26: 0x0018, 0xc27: 0x0018, 0xc28: 0x1ff1, 0xc29: 0x0018,
	0xc2a: 0x0018, 0xc2b: 0x0018, 0xc2c: 0x0018, 0xc2d: 0x0018, 0xc2e: 0x0018, 0xc2f: 0x0018,
	0xc30: 0x0018, 0xc31: 0x0018, 0xc32: 0x0018, 0xc33: 0x0018, 0xc34: 0x0018, 0xc35: 0x0018,
	0xc36: 0x0018, 0xc37: 0x0018, 0xc38: 0x0018, 0xc39: 0x0018, 0xc3a: 0x0018, 0xc3b: 0x0018,

	0xc5e: 0x0040, 0xc5f: 0x0040, 0xc60: 0x0018, 0xc61: 0x0018, 0xc62: 0x0018, 0xc63: 0x0018,
	0xc64: 0x0018, 0xc65: 0x0018, 0xc66: 0x0018, 0xc67: 0x0018, 0xc68: 0x1ff1, 0xc69: 0x0018,
	0xc6a: 0x0018, 0xc6b: 0x0018, 0xc6c: 0x0018, 0xc6d: 0x0018, 0xc6e: 0x0018, 0xc6f: 0x0018,
	0xc70: 0x0018, 0xc71: 0x0018, 0xc72: 0x0018, 0xc73: 0x0018, 0xc74: 0x0018, 0xc75: 0x0018,
	0xc76: 0x0018, 0xc77: 0x0018, 0xc78: 0x0018, 0xc79: 0x0018, 0xc7a: 0x0018, 0xc7b: 0x0018,

}

func.func @annotateInferenceType(%arg0: tensor<1x1x384x!quant.uniform<i8:f32, 0.003:-128>>) -> tensor<1x384x384x!quant.uniform<i8:f32, 0.003:-128>>{
  // CHECK-NOT: tac.device tac.inference_type
  %0 = "tfl.pseudo_qconst"() {qtype = tensor<1x384x1x!quant.uniform<i8:f32, 0.003:-128>>, value = dense<127> : tensor<1x384x1xi8>} : () -> tensor<1x384x1x!quant.uniform<i8:f32, 0.003:-128>>
  // CHECK: tac.device = "CPU", tac.inference_type = "QUANTIZED_INT8"

  %5 = "tfl.pack"(%3, %4) {tac.device = "CPU", tac.inference_type = "QUANTIZED_INT8", axis = 0 : i32, values_count = 2 : i32} : (tensor<1x!quant.uniform<i8:f32, 0.003:-128>>, tensor<1x!quant.uniform<i8:f32, 0.003:-128>>) -> tensor<2x1x!quant.uniform<i8:f32, 0.003:-128>>

	DNS_TYPE_MINFO   = 0x000e
	DNS_TYPE_MX      = 0x000f
	DNS_TYPE_TEXT    = 0x0010
	DNS_TYPE_RP      = 0x0011
	DNS_TYPE_AFSDB   = 0x0012
	DNS_TYPE_X25     = 0x0013
	DNS_TYPE_ISDN    = 0x0014
	DNS_TYPE_RT      = 0x0015
	DNS_TYPE_NSAP    = 0x0016
	DNS_TYPE_NSAPPTR = 0x0017
	DNS_TYPE_SIG     = 0x0018
	DNS_TYPE_KEY     = 0x0019
	DNS_TYPE_PX      = 0x001a
	DNS_TYPE_GPOS    = 0x001b
	DNS_TYPE_AAAA    = 0x001c

    @JvmField val TLS_DHE_DSS_EXPORT_WITH_DES40_CBC_SHA = init("SSL_DHE_DSS_EXPORT_WITH_DES40_CBC_SHA", 0x0011)

    @JvmField val TLS_DHE_DSS_WITH_DES_CBC_SHA = init("SSL_DHE_DSS_WITH_DES_CBC_SHA", 0x0012)

    @JvmField val TLS_DHE_DSS_WITH_3DES_EDE_CBC_SHA = init("SSL_DHE_DSS_WITH_3DES_EDE_CBC_SHA", 0x0013)

    @JvmField val TLS_DHE_RSA_EXPORT_WITH_DES40_CBC_SHA = init("SSL_DHE_RSA_EXPORT_WITH_DES40_CBC_SHA", 0x0014)

)

// Floating-point limit values.
// Max is the largest finite value representable by the type.
// SmallestNonzero is the smallest positive, non-zero value representable by the type.
const (
	MaxFloat32             = 0x1p127 * (1 + (1 - 0x1p-23)) // 3.40282346638528859811704183484516925440e+38
	SmallestNonzeroFloat32 = 0x1p-126 * 0x1p-23            // 1.401298464324817070923729583289916131280e-45

	0x011000, 0x01104d,
	0x011052, 0x011075,
	0x01107f, 0x0110c2,
	0x0110d0, 0x0110e8,
	0x0110f0, 0x0110f9,
	0x011100, 0x011147,
	0x011150, 0x011176,
	0x011180, 0x0111f4,
	0x011200, 0x011241,
	0x011280, 0x0112a9,
	0x0112b0, 0x0112ea,
	0x0112f0, 0x0112f9,
	0x011300, 0x01130c,
	0x01130f, 0x011310,
	0x011313, 0x011344,
	0x011347, 0x011348,
	0x01134b, 0x01134d,
	0x011350, 0x011350,
	0x011357, 0x011357,