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License: BSD 2-Clause "Simplified" License
C++/Python implementation of Nearest Neighbor Descent for efficient approximate nearest neighbor search
License: BSD 2-Clause "Simplified" License
Hello! I would like to try out your C++ implementation of NNDescent because the PyNNDescent implementation does not fit into 1.5 TB of memory (my data matrix is 70,000,000 x 1024). Could you advise me if your implementation is more memory-efficient? From the README, I found that it should be faster, but what about memory usage?
Also, I found that the Usage example works fine on an Intel CPU (Intel Xeon Processor (Skylake, IBRS)), but it crashes on an AMD CPU (AMD EPYC 7543 32-Core Processor) with the following error:
>>> import numpy as np
>>> import nndescent
>>> data = np.random.randint(50, size=(20,3)).astype(np.float32)
>>> nnd = nndescent.NNDescent(data, n_neighbors=4)
Illegal instruction
Do you know what could be the issue? Thank you in advance!
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