: 'auto',\n  TOP    : 'top',\n  RIGHT  : 'right',\n  BOTTOM : 'bottom',\n  LEFT   : 'left'\n}\n\nconst Default = {\n  animation         : true,\n  template          : '<div class=\"tooltip\" role=\"tooltip\">' +\n                    '<div class=\"arrow\"></div>' +\n                    '<div class=\"tooltip-inner\"></div></div>',\n  trigger           : 'hover focus',\n  title             : '',\n  delay             : 0,\n  html              : false,\n  selector          : false,\n  placement    ...

// CHECK:  "tfl.zeros_like"(%arg0) : (tensor<8x16xf32>) -> tensor<8x16xf32>
}

func.func @div(%arg0: tensor<1xf32>, %arg1: tensor<1xf32>) -> tensor<1xf32> {
  %0 = "tf.Div"(%arg0, %arg1) : (tensor<1xf32>, tensor<1xf32>) -> tensor<1xf32>
  func.return %0: tensor<1xf32>

// CHECK-LABEL: div
// CHECK:  tfl.div %arg0, %arg1 {fused_activation_function = "NONE"} : tensor<1xf32>
// CHECK:  return
}

		"ocirc;":                           '\U000000F4',
		"ocy;":                             '\U0000043E',
		"odash;":                           '\U0000229D',
		"odblac;":                          '\U00000151',
		"odiv;":                            '\U00002A38',
		"odot;":                            '\U00002299',
		"odsold;":                          '\U000029BC',
		"oelig;":                           '\U00000153',

    /** The key of the message:  */
    public static final String ERRORS_front_footer = "{errors.front_footer}";

    /** The key of the message: <div class="alert alert-warning"> */
    public static final String ERRORS_front_prefix = "{errors.front_prefix}";

    /** The key of the message: </div> */
    public static final String ERRORS_front_suffix = "{errors.front_suffix}";

    /** The key of the message: <ul class="has-error"> */

28936524,"max_t":1238022568,"mean_t":1232423608},{"name":"inserting","kids":[{"name":"insert-div-023-expected.png","kids":[],"cl_weight":0.0028873246444688686,"touches":4,"min_t":1228936524,"max_t":1238022568,"mean_t":1233159814},{"name":"insert-div-023-expected.checksum","kids":[],"cl_weight":0.0028873246444688686,"touches":4,"min_t":1228936524,"max_t":1238022568,"mean_t":1233159814},{"name":"insert-div-008-expected.checksum","kids":[],"cl_weight":0.002531645569620253,"touches":1,"min_t":123622...

		return true
	}
}
func rewriteValueMIPS_OpDiv16(v *Value) bool {
	v_1 := v.Args[1]
	v_0 := v.Args[0]
	b := v.Block
	typ := &b.Func.Config.Types
	// match: (Div16 x y)
	// result: (Select1 (DIV (SignExt16to32 x) (SignExt16to32 y)))
	for {
		x := v_0
		y := v_1
		v.reset(OpSelect1)
		v0 := b.NewValue0(v.Pos, OpMIPSDIV, types.NewTuple(typ.Int32, typ.Int32))

		fpstoreidx = regInfo{inputs: []regMask{gpspsb, gpsp, fp, 0}}

		prefreg = regInfo{inputs: []regMask{gpspsbg}}
	)

	var AMD64ops = []opData{
		// {ADD,SUB,MUL,DIV}Sx: floating-point arithmetic
		// x==S for float32, x==D for float64
		// computes arg0 OP arg1
		{name: "ADDSS", argLength: 2, reg: fp21, asm: "ADDSS", commutative: true, resultInArg0: true},

"gridPos": { "h": 1, "w": 24, "x": 0, "y": 0 }, "id": 106, "panels": [ { "content": "<div class=\"dashboard-header text-center\">\n<span>SERVICE: $service</span>\n</div>", "fieldConfig": { "defaults": { "custom": {} }, "overrides": [] }, "gridPos": { "h": 3, "w": 24, "x": 0, "y": 1 }, "id": 89, "links": [], "mode": "html", "options": { "content": "<div class=\"dashboard-header text-center\">\n<span>SERVICE: $service</span>\n</div>", "mode": "html" }, "pluginVersion": "7.1.0", "title": "", "transparent": true,...

};

// Maps the following representations of AvgPool in MHLO into a tf.AvgPool{3D}
// operation when they cleanly map to 2D or 3D average pool with VALID or SAME
// padding:
// * div(reduce_sum_window(x), constant(sizeof(window)))
// * div(reduce_sum_window(x), reduce_sum_window(constant(1)))
class ConvertAvgPoolOp : public OpConversionPattern<mhlo::DivOp> {
 public:
  explicit ConvertAvgPoolOp(MLIRContext* context)

    PredOpTrait<"lhs and output must have same element type",
      TFL_TCresVTEtIsSameAsOp<0, 0>>,
    TFL_OperandsHaveSameShapesOrBroadcastableShape<[0, 1], 4>]> {
  let summary = "Floor div operator";

  let description = [{
    Element-wise floor div operation.
  }];

  let arguments = (
    ins TFL_TensorOf<[F32, I8, I16, I32]>:$lhs,
    TFL_TensorOf<[F32, I8, I16, I32]>:$rhs);