Implement dpnp.cov() though existing dpnp methods #1396
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antonwolfy
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vlad-perevezentsev,
npolina4 and
vtavana
vtavana
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* Add a copy for strided arrays in dpnp.dot() * update versions * Rework transpose methods to use dpctl.tensor functions (#1389) * Rework transpose methods to call dpctl.tensor functions * Applied review comments & added more tests * Obtain a proper result type on device without fp64 (#1429) * Obtain a proper result type on device without fp64 * remove excess defenitions * Reuse dpctl.tensor.reshape (#1391) * Rework transpose methods to call dpctl.tensor functions * Reuse dpctl.tensor.reshape * added dpnp.shape() and unmuted more tests * fixed compiling issue & unmuted reshaper tests with order param * Resolve merge issues * resolve type mismatch on Win * Use MCG59 engine on GPU device (#1423) * Use MCG59 engine on GPU device * Fix issue for Windows * reduce precision in tests * move w/a before import dpctl * Reuse add(), multiply() and subtract() from dpctl (#1430) * Reuse add(), multiply() and subtract() from dpctl * add in-place support * Reuse dpctl.tensor.sum for dpnp.sum (#1426) * Reuse dpctl.tensor.sun for dpnp.sum * Update tests for dpnp.sum * Fix remarks * Update tests/third_party/cupy/testing/helper.py --------- Co-authored-by: Anton <[email protected]> * Workaround to Klocwork (#1433) * Add inplace support of divide (#1434) * Add dpnp.result_type() support (#1435) * Add dpnp.result_type() support * Update dpnp/dpnp_iface_manipulation.py Co-authored-by: Natalia Polina <[email protected]> --------- Co-authored-by: Natalia Polina <[email protected]> * Implementation of dpnp.mean() (#1431) * Reuse dpctl.tensor.sun for dpnp.sum * Update tests for dpnp.sum * Fix remarks * Implementation of dpnp.mean * Update logic for dpnp.mean function * add normalize_axis_tuple * Additional tests for dpnp.mean * Fix minor remarks * Add inplace support of divide * Use inplace divide only for dpnp.inexact types * Update tests for dpnp.mean * Skip test_sample.py::TestRandint2::test_bound_float1 * Remove unused import * Update dtype check * Update dpnp/dpnp_iface_statistics.py * Return deleted skips --------- Co-authored-by: Anton Volkov <[email protected]> Co-authored-by: Anton <[email protected]> * New implementation of dpnp.outer (#1436) * Add a new implementation of dpnp.outer * Update dpnp.outer implementation --------- Co-authored-by: Anton <[email protected]> * Set dpnp dependency on dpctl>=0.14.3 (#1437) * Implement dpnp.cov() though existing dpnp methods (#1396) * Implement dpnp.cov() though existing dpnp methods * Applied review comments * Clean up the code to get rid of todo * use dpnp.mean() * Added ChangeLog.md (#1439) * Added ChangeLog.md * exclude PR for comprasion ops * Update version to 0.12.0 (#1440) --------- Co-authored-by: vlad-perevezentsev <[email protected]> Co-authored-by: Natalia Polina <[email protected]>
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* Implement dpnp.cov() though existing dpnp methods * Applied review comments * Clean up the code to get rid of todo * use dpnp.mean()
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The PR proposes to rewrite current implementation of
dpnp.cov.The idea is to estimate covariance matrix through existing dpnp and dpctl methods which are assumed to be improved and which have to demonstrate a better performance, rather than using OneDPL functions like in current implementation of
dpnp_covfrom the backend.The PR is issued by #1398 .