rok commented on PR #33925: URL: https://github.com/apache/arrow/pull/33925#issuecomment-1451894336
> No, I mean complex numbers, which are increasingly used in AI workflows. Interesting! As Joris states there is an independent effort to enable that. > > `shape`, `dim_names` and `permutation` would map to a row-major (C, python) physical layout of data. Data in the underlying buffer would have row-major layout. > > I find 'row-major' to be ambiguous. You can have a row major layout and still list dimensions left-to-right [row column page batch]. This proposal currently states: `Elements in a fixed shape tensor extension array are stored in row-major/C-contiguous order.`. We can amend that to be more general. Could you state what left-to-right means? I assume it's equal to [TensorFlow's minor-to-major](https://www.tensorflow.org/xla/shapes). > Are you confident it is clear this datatype is only to be used in machine learning contexts? Perhaps it should be called 'machine-learning-tensor' then? I hope it'll be used in a wider context. `FixedShapeNDArray`? -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
