}
			return err
		}
	case reflect.Float32, reflect.Float64:
		field.Set = func(ctx context.Context, value reflect.Value, v interface{}) (err error) {
			switch data := v.(type) {
			case **float64:
				if data != nil && *data != nil {
					field.ReflectValueOf(ctx, value).SetFloat(**data)
				}
			case **float32:
				if data != nil && *data != nil {

   ```
   @tf.py_function(Tout=tf.float32)
   def my_fun(x):
     print("This always executes eagerly.")
     return x+1
   ```

* `tf.lite`
    * Strided_Slice now supports `UINT32`.

* `tf.config.experimental.enable_tensor_float_32_execution`

func TestMigrateAutoIncrement(t *testing.T) {
	type AutoIncrementStruct struct {
		ID     int64   `gorm:"primarykey;autoIncrement"`
		Field1 uint32  `gorm:"column:field1"`
		Field2 float32 `gorm:"column:field2"`
	}

	if err := DB.AutoMigrate(&AutoIncrementStruct{}); err != nil {
		t.Fatalf("AutoMigrate err: %v", err)
	}

	const ROWS = 10
	for idx := 0; idx < ROWS; idx++ {

		return globalVeeamForceSC
	}
	return s
}

type ordered interface {
	~int | ~int8 | ~int16 | ~int32 | ~int64 | ~uint | ~uint8 | ~uint16 | ~uint32 | ~uint64 | ~uintptr | ~float32 | ~float64 | string
}

// mapKeysSorted returns the map keys as a sorted slice.
func mapKeysSorted[Map ~map[K]V, K ordered, V any](m Map) []K {
	res := make([]K, 0, len(m))
	for k := range m {