samskalicky commented on issue #18788:
URL:
https://github.com/apache/incubator-mxnet/issues/18788#issuecomment-670824689
> MXNet bfloat16 type is registered as having numpy equivalent
`np.dtype([('bfloat16', np.uint16)])`:
>
>
https://github.com/apache/incubator-mxnet/blob/c1098aa33d6795f84a19601d0319d5bb8e19f317/python/mxnet/ndarray/ndarray.py#L86
>
> As printing a NDArray works via converting to numpy, this causes
`bfloat16` arrays to be printed as `uint16`.
>
> The fundamental issue here is that numpy does not support `bfloat16`. We
can consider if there is a better solution
Should we just convert to float32 in Numpy?
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