024C          ; mapped                 ; 024D          # 5.0  LATIN CAPITAL LETTER R WITH STROKE
024D          ; valid                                  # 5.0  LATIN SMALL LETTER R WITH STROKE
024E          ; mapped                 ; 024F          # 5.0  LATIN CAPITAL LETTER Y WITH STROKE
024F          ; valid                                  # 5.0  LATIN SMALL LETTER Y WITH STROKE

		v.AddArg2(a, v0)
		return true
	}
	// match: (MADD a x (MOVDconst [c]))
	// cond: c%5 == 0 && isPowerOfTwo64(c/5)
	// result: (ADDshiftLL a (ADDshiftLL <x.Type> x x [2]) [log64(c/5)])
	for {
		a := v_0
		x := v_1
		if v_2.Op != OpARM64MOVDconst {
			break
		}
		c := auxIntToInt64(v_2.AuxInt)
		if !(c%5 == 0 && isPowerOfTwo64(c/5)) {
			break
		}
		v.reset(OpARM64ADDshiftLL)

			Searches: []string{
				generateTestSearchPathFunc(1),
				generateTestSearchPathFunc(50),
				generateTestSearchPathFunc(50),
				generateTestSearchPathFunc(50),
				generateTestSearchPathFunc(50),
				generateTestSearchPathFunc(50),
			},
		},
		expectedError: false,
	}, {
		desc: "valid: 2048 characters in search path list",

                        For example, if two backends are specified with equal weights, and one is
                        invalid, 50 percent of traffic MUST receive an `UNAVAILABLE` status.
                        Implementations may choose how that 50 percent is determined.


                        Support: Core for Kubernetes Service

value is computed as \\( \sqrt{a^2 + b^2}\\).

For example:

>>> x = tf.complex(3.0, 4.0)
>>> print((tf.raw_ops.ComplexAbs(x=x, Tout=tf.dtypes.float32, name=None)).numpy())
5.0
  }];

  let arguments = (ins
    TensorOf<[TF_Complex128, TF_Complex64]>:$x
  );

  let results = (outs
    TF_F32OrF64Tensor:$y
  );

		v0.AddArg2(x, x)
		v.AddArg(v0)
		return true
	}
	// match: (MULLconst [c] x)
	// cond: c%5 == 0 && isPowerOfTwo32(c/5)
	// result: (SHLLconst [int8(log32(c/5))] (LEAL4 <v.Type> x x))
	for {
		c := auxIntToInt32(v.AuxInt)
		x := v_0
		if !(c%5 == 0 && isPowerOfTwo32(c/5)) {
			break
		}
		v.reset(OpAMD64SHLLconst)
		v.AuxInt = int8ToAuxInt(int8(log32(c / 5)))

    modules are under `tf.lite` and source code is now under `tensorflow/lite`
    rather than `tensorflow/contrib/lite`.
*   TensorFlow GPU binaries are now built against CUDA 10 and TensorRT 5.0.
*   Support for Python3.7 on all operating systems.
*   Moved NCCL to core.

## Behavioral changes

*   Disallow conversion of python floating types to uint32/64 (matching behavior