*
     * @param outputType The type to cast the input to
     * @param object The object to be cast (must not be {@code null})
     * @param <O> The type to be cast to
     * @param <I> The type of the object to be vast
     * @return The input object, cast to the output type
     */
    public static <O, I> O cast(Class<O> outputType, I object) {
        try {

Paul Merlin <******@****.***> 1690890212 +0200

func (s1 Int) SymmetricDifference(s2 Int) Int {
	return Int(cast(s1).SymmetricDifference(cast(s2)))
}

// Union returns a new set which includes items in either s1 or s2.
// For example:
// s1 = {a1, a2}
// s2 = {a3, a4}
// s1.Union(s2) = {a1, a2, a3, a4}
// s2.Union(s1) = {a1, a2, a3, a4}
func (s1 Int) Union(s2 Int) Int {
	return Int(cast(s1).Union(cast(s2)))
}

// Intersection returns a new set which includes the item in BOTH s1 and s2

func (s1 Int32) SymmetricDifference(s2 Int32) Int32 {
	return Int32(cast(s1).SymmetricDifference(cast(s2)))
}

// Union returns a new set which includes items in either s1 or s2.
// For example:
// s1 = {a1, a2}
// s2 = {a3, a4}
// s1.Union(s2) = {a1, a2, a3, a4}
// s2.Union(s1) = {a1, a2, a3, a4}
func (s1 Int32) Union(s2 Int32) Int32 {
	return Int32(cast(s1).Union(cast(s2)))
}

  // CHECK-DAG: %[[INPUT_QINT:.*]] = "tf.Cast"(%arg0) <{Truncate = false}> : (tensor<1x2x2x1xi32>) -> tensor<1x2x2x1x!tf_type.qint32>
  %q_input = "tf.Cast"(%arg0) {Truncate = false} : (tensor<1x2x2x1xi32>) -> tensor<1x2x2x1x!tf_type.qint32>

  // CHECK-DAG: %[[MIN_QINT:.*]] = "tf.Cast"(%arg1) <{Truncate = false}> : (tensor<i32>) -> tensor<!tf_type.qint32>

func (s1 Byte) SymmetricDifference(s2 Byte) Byte {
	return Byte(cast(s1).SymmetricDifference(cast(s2)))
}

// Union returns a new set which includes items in either s1 or s2.
// For example:
// s1 = {a1, a2}
// s2 = {a3, a4}
// s1.Union(s2) = {a1, a2, a3, a4}
// s2.Union(s1) = {a1, a2, a3, a4}
func (s1 Byte) Union(s2 Byte) Byte {
	return Byte(cast(s1).Union(cast(s2)))
}

func (s1 Int64) SymmetricDifference(s2 Int64) Int64 {
	return Int64(cast(s1).SymmetricDifference(cast(s2)))
}

// Union returns a new set which includes items in either s1 or s2.
// For example:
// s1 = {a1, a2}
// s2 = {a3, a4}
// s1.Union(s2) = {a1, a2, a3, a4}
// s2.Union(s1) = {a1, a2, a3, a4}
func (s1 Int64) Union(s2 Int64) Int64 {
	return Int64(cast(s1).Union(cast(s2)))
}

func (s1 String) SymmetricDifference(s2 String) String {
	return String(cast(s1).SymmetricDifference(cast(s2)))
}

// Union returns a new set which includes items in either s1 or s2.
// For example:
// s1 = {a1, a2}
// s2 = {a3, a4}
// s1.Union(s2) = {a1, a2, a3, a4}
// s2.Union(s1) = {a1, a2, a3, a4}
func (s1 String) Union(s2 String) String {
	return String(cast(s1).Union(cast(s2)))
}

    return false;

  if (mlir::cast<IntegerAttr>(elements.front()).getInt() != 1 ||
      mlir::cast<IntegerAttr>(elements.back()).getInt() != 1)
    return false;

  Builder b(op->getContext());
  *x = b.getI32IntegerAttr(mlir::cast<IntegerAttr>(elements[1]).getInt());
  *y = b.getI32IntegerAttr(mlir::cast<IntegerAttr>(elements[2]).getInt());
  *z = b.getI32IntegerAttr(mlir::cast<IntegerAttr>(elements[3]).getInt());

// CHECK: %[[cast:.*]] = "tf.Cast"(%[[cst]]) <{Truncate = false}> : (tensor<2x3x3x2xbf16>) -> tensor<2x3x3x2xf32>
// CHECK: %[[conv:.*]] = "tf.Conv2D"(%arg0, %[[cast]])
// CHECK: %[[identity:.*]] = "tf.IdentityN"(%[[conv]]) {device = ""} : (tensor<1x3x2x2xf32>) -> tensor<1x3x2x2xf32>
// CHECK: return %[[identity]] : tensor<1x3x2x2xf32>