The [MLOperandDataType and ArrayBufferView compatibility](https://webmachinelearning.github.io/webnn/#appendices-mloperanddatatype-arraybufferview-compatibility) table is missing int64 and uint64. The corresponding `ArrayBufferView` types are: | [MLOperandDataType](https://webmachinelearning.github.io/webnn/#enumdef-mloperanddatatype) | [ArrayBufferView](https://webidl.spec.whatwg.org/#ArrayBufferView) | | - | - | | [int64](https://webmachinelearning.github.io/webnn/#dom-mloperanddatatype-int64) | [BigInt64Array](https://webidl.spec.whatwg.org/#idl-BigInt64Array) | | [uint64](https://webmachinelearning.github.io/webnn/#dom-mloperanddatatype-uint64) | [BigUint64Array](https://webidl.spec.whatwg.org/#idl-BigUint64Array) | Is there any reason not to go ahead and add them?