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Same numpy bfloat16 feature request for pandas:
numpy/numpy#17809
Hi,
I saw NEP 41 Status: | Accepted
https://github.com/numpy/numpy/blob/master/doc/neps/nep-0041-improved-dtype-support.rst
I'm just wondering when will bfloat16 be available in numpy?
For some ML problems, this will reduce the memory requirement by half (or process 2x more data), can we give this high priority?
Thanks.
The text was updated successfully, but these errors were encountered:
We can't support this until after NumPy or (or maybe Apache Arrow) introduces it. Let's close this until we can actually take action on it.
Sorry, something went wrong.
see also #9220
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Same numpy bfloat16 feature request for pandas:
numpy/numpy#17809
Hi,
I saw NEP 41 Status: | Accepted
https://github.com/numpy/numpy/blob/master/doc/neps/nep-0041-improved-dtype-support.rst
I'm just wondering when will bfloat16 be available in numpy?
For some ML problems, this will reduce the memory requirement by half (or process 2x more data), can we give this high priority?
Thanks.
The text was updated successfully, but these errors were encountered: