dwSun opened a new issue #9711: Is it possible to support 5-dim or x-dim data operation URL: https://github.com/apache/incubator-mxnet/issues/9711 Presently, we are use 4-dim data flow to build most of our models, **BatchSize x W x H x Channels** or **BatchSize x Channels x H x W**. Is it possible to build 5-dim data flow? Maybe **BatchSize x Capsule x W x H x Channels**, which should be useful in ideas like CapsNet for that we don't have to reshape out data. So we can build high dimensions models which are more complicated and should be better both in structure and data extraction performance. According to **MobileNetV2**, performance of relu is better in high dimensions than in low dimensions. So it maybe even more better if we can build our entire model with high dimensions operations. Further more, how about 6-dim or 7-dim operations, even x-dim operations? Is this kind of operations possible? If possible, how hard will it be to implement them?
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