Thanks!
> Java is known to be big-endian ... your CPU is probably little-endian.
$ lscpu | grep -i endian
Byte Order: Little Endian
> Numpy has the tools to represent an array of double BE.
Is there a lower-level ndarray method that writes an array that could be
used this way?
Bill
--
Phobrain.com
On 2023-01-01 05:13, Jerome Kieffer wrote:
> On Sat, 31 Dec 2022 23:45:54 -0800
> Bill Ross <bross_phobr...@sonic.net> wrote:
>
>> How best to write a 1D ndarray as a block of doubles, for reading in
>> java as double[] or a stream of double?
>>
>> Maybe the performance of simple looping over doubles in python.write()
>> and java.read() is fine, but maybe there are representational diffs?
>> Maybe there's a better solution for the use case?
>
> Java is known to be big-endian ... but your CPU is probably little-endian.
> Numpy has the tools to represent an array of double BE.
>
>> Use case: I get the ndarray from keras, and it represents a 2D distance
>> matrix. I want to find the top-50 matches for each item, per row and
>> column. I'm looking at moving the top-50 task to java for its superior
>> parallel threading. (Java doesn't fork processes with a copy of the
>> array, which is ~5% of memory; rather one gets 1 process with e.g. 1475%
>> CPU.)
>
> What about numba or cython then ?
>
> Happy new year
>
> Jerome
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