if (getFusedActivationFunction() != "NONE") return {};
  return ConstFoldBinaryOp(
      getType(), operands, [](APFloat a, APFloat b) { return a / b; },
      [](APInt a, APInt b) { return a.sdiv(b); });
}

int64_t DivOp::GetArithmeticCount(Operation* op) {
  int64_t count;
  if (ArithmeticCountUtilHelper::GetFirstOutputCount(op, &count)) return count;

  return -1;
}

// UDIV and MSUB instructions. But if there is already an identical UDIV instruction just before or
// after UREM (case like quo, rem := z/y, z%y), then the second UDIV instruction becomes redundant.
// The purpose of this rule is to have this extra UDIV instruction removed in CSE pass.
(UMOD  <typ.UInt64> x y) => (MSUB <typ.UInt64> x y (UDIV <typ.UInt64> x y))

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	"ô":                           "\u00f4",
	"о":                             "\u043e",
	"⊝":                           "\u229d",
	"ő":                          "\u0151",
	"⨸":                            "\u2a38",
	"⊙":                            "\u2299",
	"⦼":                          "\u29bc",
	"œ":                           "\u0153",

// 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
}

    /** 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"> */

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// 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)