Rework transpose methods to use dpctl.tensor functions #1389
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antonwolfy
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oleksandr-pavlyk,
vlad-perevezentsev,
npolina4 and
vtavana
vtavana
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May 3, 2023
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npolina4
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Jun 13, 2023
antonwolfy
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Jun 15, 2023
* 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 <100830759+antonwolfy@users.noreply.github.com> * 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 <natalia.polina@intel.com> --------- Co-authored-by: Natalia Polina <natalia.polina@intel.com> * 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 <antonwolfy@gmail.com> Co-authored-by: Anton <100830759+antonwolfy@users.noreply.github.com> * New implementation of dpnp.outer (#1436) * Add a new implementation of dpnp.outer * Update dpnp.outer implementation --------- Co-authored-by: Anton <100830759+antonwolfy@users.noreply.github.com> * 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 <vladislav.perevezentsev@intel.com> Co-authored-by: Natalia Polina <natalia.polina@intel.com>
antonwolfy
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* Rework transpose methods to call dpctl.tensor functions * Applied review comments & added more tests
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The PR propose to rework implementation of
dpnp.transpose,dpnp.ndarray.transpose()anddpnp.ndarray.Tto fully rely on methods fromdpctl.tensormodule, i.e. with help ofusm_ndarray.Tandusm_ndarray.permute_dims.The PR is issued by #1401.