Update gather_data function #226
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update gather data fn: Uses a mask value that will work for most dtypes (except bool?) Automatically gets dtype from array/value being passed in
update for changes in gather_data fn
julesghub
reviewed
Aug 21, 2024
| val_local = np.ascontiguousarray(val.copy()) | ||
| else: | ||
| val_local = np.array([np.nan], dtype=dtype) | ||
| # with uw.mpi.call_pattern(pattern="sequential"): |
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Why comment out the uw.mpi.call_pattern part? This was useful for dealing with sequential or parallel hdf5 implementations on various HPCs.
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From tests I've done it hasn't made a difference to the order of the array. If anything needed to be sequential it would be the gathering of the data on the root processor not the creation of the array on each processor. I'm not sure how Gatherv gathers the data but from those tests thee array is in the same order each time.
For benchmarking purposes
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Changes to code due to updating the gather_data function. Should now work for all dtypes