MMMM YYYY HH:mm"},calendar:{sameDay:"[Inniu ag] LT",nextDay:"[Am\xe1rach ag] LT",nextWeek:"dddd [ag] LT",lastDay:"[Inn\xe9 ag] LT",lastWeek:"dddd [seo caite] [ag] LT",sameElse:"L"},relativeTime:{future:"i %s",past:"%s \xf3 shin",s:"c\xfapla soicind",ss:"%d soicind",m:"n\xf3im\xe9ad",mm:"%d n\xf3im\xe9ad",h:"uair an chloig",hh:"%d uair an chloig",d:"l\xe1",dd:"%d l\xe1",M:"m\xed",MM:"%d m\xedonna",y:"bliain",yy:"%d bliain"},dayOfMonthOrdinalParse:/\d{1,2}(d|na|mh)/,ordinal:function(e){return e+(1===...

        *   `tf.data.experimental.OptimizationOptions.map_vectorization` *
            `tf.data.experimental.OptimizationOptions.reorder_data_discarding_ops`
*   `tf.keras`:
    *   Fix usage of `__getitem__` slicing in Keras Functional APIs when the
        inputs are `RaggedTensor` objects.
    *   Add `keepdims` argument to all `GlobalPooling` layers.
    *   Add `include_preprocessing` argument to `MobileNetV3` architectures to