{name: "NotEqual", argLength: 1, reg: readflags},         // bool, true flags encode x!=y false otherwise.
		{name: "LessThan", argLength: 1, reg: readflags},         // bool, true flags encode signed x<y false otherwise.
		{name: "LessEqual", argLength: 1, reg: readflags},        // bool, true flags encode signed x<=y false otherwise.
		{name: "GreaterThan", argLength: 1, reg: readflags},      // bool, true flags encode signed x>y false otherwise.

  %1 = "tf.LogicalNot"(%0) {device = "/job:localhost/replica:0/task:0/device:GPU:0"} : (tensor<8x16xi1>) -> tensor<8x16xi1>
  func.return %1: tensor<8x16xi1>

  // CHECK: %0 = "tf.LessEqual"(%arg0, %arg1) {device = "/job:localhost/replica:0/task:0/device:GPU:0"} : (tensor<8x16xf32>, tensor<8x16xf32>) -> tensor<8x16xi1>
  // CHECK: return %0
}

// CHECK-LABEL: testLogicalNotOfGreaterEqual

	v_0 := v.Args[0]
	// match: (LessEqual (FlagConstant [fc]))
	// result: (MOVWconst [b2i32(fc.le())])
	for {
		if v_0.Op != OpARMFlagConstant {
			break
		}
		fc := auxIntToFlagConstant(v_0.AuxInt)
		v.reset(OpARMMOVWconst)
		v.AuxInt = int32ToAuxInt(b2i32(fc.le()))
		return true
	}
	// match: (LessEqual (InvertFlags x))
	// result: (GreaterEqual x)
	for {

            "ReciprocalGrad", "RsqrtGrad", "SqrtGrad", "TruncateDiv",
            "TruncateMod", "Equal", "NotEqual", "Greater", "GreaterEqual",
            "Less", "LessEqual", "SigmoidGrad", "SoftplusGrad", "SoftsignGrad",
            "TanhGrad", "Pow", "SquaredDifference", "ApproximateEqual",
            // Others
            "AddN", "Bitcast", "Cast", "ClipByValue", "Const", "Empty",

  func.return %0 : tensor<1x2xi1>
}

// CHECK-LABEL:   func @less_equal(
// CHECK-SAME:                     %[[VAL_0:.*]]: tensor<2xi32>,
// CHECK-SAME:                     %[[VAL_1:.*]]: tensor<2xi32>) -> tensor<2xi1> {
// CHECK:           %[[VAL_2:.*]] = "tf.LessEqual"(%[[VAL_0]], %[[VAL_1]]) : (tensor<2xi32>, tensor<2xi32>) -> tensor<2xi1>
// CHECK:           return %[[VAL_2]] : tensor<2xi1>

  );

  TF_DerivedOperandTypeAttr T = TF_DerivedOperandTypeAttr<0>;
}

def TF_LessEqualOp : TF_Op<"LessEqual", [Pure, ResultsBroadcastableShape]>,
                     WithBroadcastableCmpOpBuilder {
  let summary = "Returns the truth value of (x <= y) element-wise.";

  let description = [{
*NOTE*: `LessEqual` supports broadcasting. More about broadcasting
[here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)

			},
		},
	},
	{
		name:   "LessEqual",
		argLen: 1,
		reg: regInfo{
			outputs: []outputInfo{
				{0, 1073733624}, // R3 R4 R5 R6 R7 R8 R9 R10 R11 R12 R14 R15 R16 R17 R18 R19 R20 R21 R22 R23 R24 R25 R26 R27 R28 R29
			},
		},
	},
	{
		name:   "FLessEqual",
		argLen: 1,
		reg: regInfo{
			outputs: []outputInfo{

  BIDIRECTIONAL_SEQUENCE_LSTM = 52,
  CAST = 53,
  PRELU = 54,
  MAXIMUM = 55,
  ARG_MAX = 56,
  MINIMUM = 57,
  LESS = 58,
  NEG = 59,
  PADV2 = 60,
  GREATER = 61,
  GREATER_EQUAL = 62,
  LESS_EQUAL = 63,
  SELECT = 64,
  SLICE = 65,
  SIN = 66,
  TRANSPOSE_CONV = 67,
  SPARSE_TO_DENSE = 68,
  TILE = 69,
  EXPAND_DIMS = 70,
  EQUAL = 71,
  NOT_EQUAL = 72,
  LOG = 73,
  SUM = 74,

  BIDIRECTIONAL_SEQUENCE_LSTM = 52,
  CAST = 53,
  PRELU = 54,
  MAXIMUM = 55,
  ARG_MAX = 56,
  MINIMUM = 57,
  LESS = 58,
  NEG = 59,
  PADV2 = 60,
  GREATER = 61,
  GREATER_EQUAL = 62,
  LESS_EQUAL = 63,
  SELECT = 64,
  SLICE = 65,
  SIN = 66,
  TRANSPOSE_CONV = 67,
  SPARSE_TO_DENSE = 68,
  TILE = 69,
  EXPAND_DIMS = 70,
  EQUAL = 71,
  NOT_EQUAL = 72,
  LOG = 73,
  SUM = 74,

  BIDIRECTIONAL_SEQUENCE_LSTM = 52,
  CAST = 53,
  PRELU = 54,
  MAXIMUM = 55,
  ARG_MAX = 56,
  MINIMUM = 57,
  LESS = 58,
  NEG = 59,
  PADV2 = 60,
  GREATER = 61,
  GREATER_EQUAL = 62,
  LESS_EQUAL = 63,
  SELECT = 64,
  SLICE = 65,
  SIN = 66,
  TRANSPOSE_CONV = 67,
  SPARSE_TO_DENSE = 68,
  TILE = 69,
  EXPAND_DIMS = 70,
  EQUAL = 71,
  NOT_EQUAL = 72,
  LOG = 73,
  SUM = 74,