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The kernel accesses NumPy allocation using read-only buffer, hence the blocking. ``` In [1]: import dpctl.tensor as dpt In [2]: import numpy as np In [3]: X = dpt.zeros((81,81,81),'d') In [4]: %time X[:41,:41,:41] = np.random.randn(41,41,41) CPU times: user 100 ms, sys: 8.28 ms, total: 108 ms Wall time: 106 ms In [5]: %time X[:41,:41,:41] = np.random.randn(41,41,41) CPU times: user 17.8 ms, sys: 3.81 ms, total: 21.6 ms Wall time: 20 ms ``` This used to take over 30 seconds.
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View rendered docs @ https://intelpython.github.io/dpctl/pulls/817/index.html |
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Add implementation of build_package_data method for the subclass which does not use os.chmod that does not suppot symbolic links
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Deleted rendered PR docs from intelpython.github.com/dpctl, latest should be updated shortly. 🤞 |
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Added an implementation of dedicated copy-with-casting routine to copy from numpy's ndarray to usm_ndarray.
Deployed in in
_copy_utils, which automatically uses it in__setitem__.