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Distributed Numpy
Home Page: https://github.com/spartan-array/spartan
License: Other
This project forked from spartan-array/spartan
Distributed Numpy
Home Page: https://github.com/spartan-array/spartan
License: Other
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It's not uncommon to glom a distarray to a nd.ndarray and accidently pass it to an expr.xxx. Spartan should give a meaningful error messages instead of some unexpected error messages.
As title.
Like set diagonal.
The new backend still can't pass test_transpose.py and test_reshape.py. The worse, test_reshape.py even causes the worker segmentation fault.
For uninitialized matrices, the backend should not apply reducer. It should just assign the values to the uninitialized part.
The new backend still has problem dealing with sparse matrices.
This cause the workers reading wrong configurations.
We may need to build our own RPC.
For current implementation, we don't give a mask array to a sparse array.
However, if it is necessary for a sparse array to have a mask array for some reduction operation such as min.
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