v0.16.1

Summary

This is a maintenance release that fixes bugs and regressions discovered after the 0.16.0 release.

Details

Changed

• Changed to use Miniforge installer in GitHub actions #2057
• Updated README.md to reflect current installation requirements and available options #2166
• Corrected the list of owners and code maintainers #2185
• Bumped the version of oneMKL interface used in dpnp build by default to align it with 2025.0 oneAPI release #2193

Fixed

• Resolved an issue with Compute Follows Data inconsistency in dpnp.extract function #2172
• Resolved an import error when using dpnp in virtual environment on Linux #2199
• Fixed incorrect result produced by dpnp.fft.fft function when input array has negative strides #2202
• Fixed an issue with numpy.ndarray input processing in the dpnp.from_dlpack function and updated the documentation #2209
• Resolved a compilation error when building with DPC++ 2025.1 compiler #2211

Full Changelog: 0.16.0...0.16.1

v0.16.0

Summary

This release reaches an important milestone by making offloading fully asynchronous. Calls to dpnp submit tasks for execution to DPC++ runtime and return without waiting for execution of these tasks to finish. The sequential semantics a user comes to expect from execution of Python script is preserved though.

In addition, this release completes implementation of dpnp.fft module and adds several new array manipulation, indexing and elementwise routines. Moreover, it adds support to build dpnp for Nvidia GPUs.

DPNP is now compatible with NumPy 2.0.

Details

Added

• Added implementation of dpnp.gradient function #1859
• Added implementation of dpnp.sort_complex function #1864
• Added implementation of dpnp.fft.fft and dpnp.fft.ifft functions #1879
• Added implementation of dpnp.isneginf and dpnp.isposinf functions #1888
• Added implementation of dpnp.fft.fftfreq and dpnp.fft.rfftfreq functions #1898
• Added implementation of dpnp.fft.fftshift and dpnp.fft.ifftshift functions #1900
• Added implementation of dpnp.isreal, dpnp.isrealobj, dpnp.iscomplex, and dpnp.iscomplexobj functions #1916
• Added support to build dpnp for Nvidia GPU #1926
• Added implementation of dpnp.fft.rfft and dpnp.fft.irfft functions #1928
• Added implementation of dpnp.nextafter function #1938
• Added implementation of dpnp.trim_zero function #1941
• Added implementation of dpnp.fft.hfft and dpnp.fft.ihfft functions #1954
• Added implementation of dpnp.logaddexp2 function #1955
• Added implementation of dpnp.flatnonzero function #1956
• Added implementation of dpnp.float_power function #1957
• Added implementation of dpnp.fft.fft2, dpnp.fft.ifft2, dpnp.fft.fftn, and dpnp.fft.ifftn functions #1961
• Added implementation of dpnp.array_equal and dpnp.array_equiv functions #1965
• Added implementation of dpnp.nan_to_num function #1966
• Added implementation of dpnp.fix function #1971
• Added implementation of dpnp.fft.rfft2, dpnp.fft.irfft2, dpnp.fft.rfftn, and dpnp.fft.irfftn functions #1982
• Added implementation of dpnp.argwhere function #2000
• Added implementation of dpnp.real_if_close function #2002
• Added implementation of dpnp.ndim and dpnp.size functions #2014
• Added implementation of dpnp.append and dpnp.asarray_chkfinite functions #2015
• Added implementation of dpnp.array_split, dpnp.split, dpnp.hsplit, dpnp.vsplit, and dpnp.dsplit functions #2017
• Added runtime dependency on intel-gpu-ocl-icd-system package #2023
• Added implementation of dpnp.ravel_multi_index and dpnp.unravel_index functions #2022
• Added implementation of dpnp.resize and dpnp.rot90 functions #2030
• Added implementation of dpnp.require function #2036

Changed

• Extended pre-commit pylint check to dpnp.fft module #1860
• Reworked vm vector math backend to reuse dpctl.tensor functions around unary and binary functions #1868
• Extended dpnp.ndarray.astype method to support device keyword argument #1870
• Improved performance of dpnp.linalg.solve by implementing a dedicated kernel for its batch implementation #1877
• Extended dpnp.fabs to support order and out keyword arguments by writing a dedicated kernel for it #1878
• Extended dpnp.linalg module to support usm_ndarray as input #1880
• Reworked dpnp.mod implementation to be an alias for dpnp.remainder #1882
• Removed the legacy implementation of linear algebra functions from the backend #1887
• Removed the legacy implementation of elementwise functions from the backend #1890
• Extended dpnp.all and dpnp.any to support out keyword argument #1893
• Reworked dpnp.repeat to add a explicit type check of input array #1894
• Improved performance of different functions by adopting asynchronous implementation of dpctl #1897
• Extended dpnp.fmax and dpnp.fmin to support order and out keyword arguments by writing dedicated kernels for them #1905
• Removed the legacy implementation of array creation and manipulation functions from the backend #1903
• Extended dpnp.extract implementation to align with NumPy #1906
• Reworked backend implementation to align with non-backward compatible changes in DPC++ 2025.0 #1907
• Removed the legacy implementation of indexing functions from the backend #1908
• Extended dpnp.take implementation to align with NumPy #1909
• Extended dpnp.place implementation to align with NumPy #1912
• Reworked the implementation of indexing functions to avoid unnecessary casting to dpnp_array when input is usm_ndarray #1913
• Reduced code duplication in the implementation of sorting functions #1914
• Removed the obsolete dparray interface #1915
• Improved performance of dpnp.linalg module for BLAS routines by adopting asynchronous implementation of dpctl #1919
• Relocated dpnp.einsum utility functions to a separate file #1920
• Improved performance of dpnp.linalg module for LAPACK routines by adopting asynchronous implementation of dpctl #1922
• Reworked dpnp.matmul to allow larger batch size to be used #1927
• Removed data synchronization where it is not needed #1930
• Leveraged dpctl.tensor implementation for dpnp.where to support scalar as input #1932
• Improved performance of dpnp.linalg.eigh by implementing a dedicated kernel for its batch implementation #1936
• Reworked dpnp.isclose and dpnp.allclose to comply with compute follows data approach #1937
• Extended dpnp.deg2rad and dpnp.radians to support order and out keyword arguments by writing dedicated kernels for them #1943
• dpnp uses pybind11 2.13.1 #1944
• Extended dpnp.degrees and dpnp.rad2deg to support order and out keyword arguments by writing dedicated kernels for them #1949
• Extended dpnp.unwrap to support all keyword arguments provided by NumPy #1950
• Leveraged dpctl.tensor implementation for dpnp.count_nonzero function #1962
• Leveraged dpctl.tensor implementation for dpnp.diff function #1963
• Leveraged dpctl.tensor implementation for dpnp.take_along_axis function #1969
• Reworked dpnp.ediff1d implementation through existing functions instead of a separate kernel #1970
• Reworked dpnp.unique implementation through existing functions when axis is given otherwise through leveraging dpctl.tensor implementation #1972
• Improved performance of dpnp.linalg.svd by implementing a dedicated kernel for its batch implementation #1936
• Leveraged dpctl.tensor implementation for shape.setter ...

v0.15.0

Summary

This release completes implementation of dpnp.linalg module and array creation routine, adds cumulative reductions and histogram functions.

Details

Added

• Implemented dpnp.frombuffer, dpnp.fromfile and dpnp.fromstring functions #1727
• Implemented dpnp.fromfunction, dpnp.fromiter and dpnp.loadtxt functions #1728
• Added implementation of dpnp.linalg.pinv function #1704
• Added implementation of dpnp.linalg.eigvalsh function #1714
• Added implementation of dpnp.linalg.tensorinv function #1752
• Added implementation of dpnp.linalg.tensorsolve function #1753
• Added implementation of dpnp.linalg.lstsq function #1792
• Added implementation of dpnp.einsum and dpnp.einsum_path functions #1779
• Added implementation of dpnp.histogram function #1785
• Added implementation of dpnp.histogram_bin_edges function #1823
• Added implementation of dpnp.digitize function #1847
• Extended pre-commit hooks with pylint configuration #1718
• Extended pre-commit hooks with codespell configuration #1798
• Added a Security policy page #1730
• Implemented nin and nout properties for dpnp elementwise functions #1712
• Implemented outer method for dpnp elementwise functions #1813

Changed

• Added support of more number of data types and dimensions for input arrays, and all keyword arguments in dpnp.cross function #1715
• Added support of more number of data types and dimensions for input array, and all keyword arguments in dpnp.linalg.matrix_rank function #1717
• Added support of more number of data types and dimensions for input arrays in dpnp.inner function #1726
• Added support of more number of data types and dimensions for input arrays in dpnp.linalg.multi_dot function #1729
• Added support of more number of data types and dimensions for input arrays in dpnp.kron function #1732
• Added support of more number of data types and dimensions for input arrays in dpnp.linalg.matrix_power function #1748
• Added support of more number of data types and dimensions for input array, and all keyword arguments in dpnp.norm function #1746
• Added support of more number of data types and dimensions for input array in dpnp.cond function #1773
• Extended dpnp.matmul function to support axes keyword argument #1705
• Extended dpnp.searchsorted function to support side and sorter keyword arguments #1751
• Extended dpnp.where function to support scalar type by x and y arrays #1760
• Extended dpnp.ndarray.transpose method to support axes keyword as a list #1770
• Extended dpnp.nancumsum function to support axis, dtype and out keyword arguments #1781
• Extended dpnp.nancumprod function to support axis, dtype and out keyword arguments #1812
• Extended dpnp.put function to support more number of data types and dimensions for input arrays #1838
• Extended dpnp.trace function to support axis1, axis2, dtype and out keyword arguments #1842
• Corrected dpnp.ndarray.realand dpnp.ndarray.imag methods to return a view of the array #1719
• Corrected dpnp.nonzero function to raise TypeError exception for input array of unexpected type #1764
• Corrected dpnp.diagonal function to return a view of the array #1817
• Removed dpnp.find_common_type function as it was deprecated since NumPy 1.25.0 #1742
• Removed use of dpctl queue manager API #1735
• Leveraged dpctl.tensor implementation for dpnp.cumsum function #1772
• Leveraged dpctl.tensor implementation for dpnp.cumprod function #1811
• Leveraged dpctl.tensor implementation for dpnp.cumlogsumexp function #1816
• Leveraged dpctl.tensor support of out keyword argument in reduction and dpnp.where functions #1808
• Aligned with dpctl interface changes per Python Array API 2023.12 specification #1774
• Reworked dpnp.linalg.eig and dpnp.linalg.eigvals implementations to fall back on on NumPy calculation due to a lack of required functionality in OneMKL LAPACK #1780
• dpnp uses pybind11 2.12.0 #1783
• Improved dpnp.matmul implementation to use column major gemm layout for F-contiguous input arrays #1793
• Improved performance of dpnp.matmul function by call of dpnp.kron and dpnp.dot for special cases #1815
• Improved performance of dpnp.diag function by use of dpnp.diagonal which returns a view of the array #1822
• Removed limitations from diag_indices, diag_indices_from, fill_diagonal, tril_indices, tril_indices_from, triu_indices, triu_indices_from functions and added implementation of dpnp.mask_indices function #1814

Fixed

• Changed dpnp.linalg.solve to use a pair of getrf and getrs calls from OneMKL library instead of gesv one to mitigate an unexpected RuntimeError exception #1763
• Resolved a hang in batch implementation of dpnp.linalg.solve when computes on CPU device #1778
• Resolved an unexpected TypeError exception raised from dpnp.random.vonmises when used with a scalar kappa argument #1799
• Changed dpnp.flatten to comply with compute follows data approach #1825
• Resolved a hang in batch implementation of dpnp.linalg.eigh when computes on CPU device #1832
• Resolved an unexpected ValueError exception raised from dpnp.linalg.pinv due to a shape issue in dpnp.matmul #1843

New Contributors

• @ZzEeKkAa made their first contribution in #1593

Full Changelog: 0.14.0...0.15.0

v0.14.0

This release will require DPC++ 2024.1.0, which no longer supports Intel Gen9 integrated GPUs found in Intel CPUs of 10th generation and older.

Added

• Added implementation of dpnp.tensordot function #1699
• Added implementation of dpnp.nanmean and dpnp.nanstd functions #1654
• Added implementation of dpnp.angle function #1650
• Added implementation of dpnp.logsumexp and dpnp.reduce_hypot functions #1648
• Added implementation of dpnp.column_stack, dpnp.dstack and dpnp.row_stack functions #1647
• Added implementation of dpnp.nanargmax, dpnp.nanargmin, dpnp.nanmax and dpnp.nanmin functions #1646
• Added implementation of dpnp.clip function, available as well as a method of dpnp array #1645
• Added implementation of dpnp.copysign and dpnp.rsqrt functions #1624
• Added implementation of dpnp.linalg.slogdet function #1607
• Added implementation of dpnp.can_cast function #1600
• Added implementation of dpnp.linalg.solve function #1598
• Added implementation of dpnp.broadcast_arrays function #1594
• Added implementation of dpnp.tile function #1586
• Added implementation of dpnp.iinfo and dpnp.finfo functions #1582
• Added implementation of dpnp.logaddexp function #1561
• Added implementation of dpnp.positive function #1559

Changed

• Changed exception type from ValueError to NotImplementedError for unsupporting keyword arguments in array creation functions #1695
• Enabled compatibility support against numpy 1.26.4 #1690
• Implemented dpnp.true_divide as an alias on dpnp.divide function #1641
• Added support of more number of data types and dimensions for input array in dpnp.vdot function #1692
• Added support of more number of data types and dimensions for input array in dpnp.linalg.qr function #1673
• Added support of more number of data types and dimensions for input array in dpnp.dot function #1669
• Added support of more number of data types and dimensions for input array in dpnp.linalg.inv function #1665
• Added support of more number of data types for input array in dpnp.sort and dpnp.argsort functions, as well as implementing support of axis keyword #1660
• Added support of more number of data types and dimensions for input array in dpnp.linalg.cholesky function, as well as implementing support of upper keyword #1638
• Added support of more number of data types and dimensions for input array in dpnp.diff, as well as implementing support of prepend and append keywords #1637
• Added support of more number of data types and dimensions for input array in dpnp.matmul function #1616
• Added support of more number of data types and dimensions for input array in dpnp.linalg.det function #1607
• Added support of more number of data types and dimensions for input array in dpnp.linalg.svd function, as well as implementing support of full_matrices, compute_uv and hermitian keywords #1604
• Accepted different data types and dimensions of input arrays in dpnp.put_along_axis and dpnp.take_along_axis functions, as well as available values of axis keyword #1636
• Added keepdims, initial and where keywords to dpnp.amax and dpnp.amin functions #1639
• Extended dpnp.meshgrid function to support sparse and copy keyword arguments #1675
• Extended dpnp.average function to support axis, weights, returned and keepdims keywords and dpnp.nansum function with axis, dtype, keepdims and out keyword arguments #1654
• Extended dpnp.std, dpnp.var and nanvar functions to support axis, dtype, out and keepdims keyword arguments #1635
• Extended dpnp.ogrid and dpnp.mgrid functions with support of device-aware keywords of compute follows data paradigm #1622
• Extended dpnp.indices function to support dtype and sparse keyword arguments, as well as device-aware keywords of compute follows data paradigm #1622
• Extended dpnp.count_nonzero function to support axis and keepdims keyword arguments #1615
• Extended dpnp.put_along_axis and dpnp.take_along_axis functions to support out, dtype and casting keyword arguments #1608
• Extended dpnp.stack and dpnp.concatenate functions to support out, dtype and casting keyword arguments #1608
• Extended dpnp.vstack function to support dtype and casting keyword arguments #1595
• Extended dpnp.diag, dpnp.diagflat, dpnp.ptp and dpnp.vander functions with support of extra keywords to align with compute follows data paradigm #1579
• Extended dpnp.tri and dpnp.identity functions with support of device-aware keywords of compute follows data paradigm #1577
• Added dedicated in-place kernels to dpnp.divide and dpnp.floor_divide functions #1587
• Redesigned dpnp.cbrt and dpnp.exp2 functions through pybind11 extension of OneMKL call where possible or leveraging on dpctl.tensor implementation #1624
• Redesigned dpnp.exp, dpnp.expm1, dpnp.log10, dpnp.log1p and dpnp.log2 functions through pybind11 extension of OneMKL call where possible or leveraging on dpctl.tensor implementation #1576
• Redesigned dpnp.abs function through pybind11 extension of OneMKL call where possible or leveraging on dpctl.tensor implementation #1575
• Redesigned dpnp.hypot function through pybind11 extension of OneMKL call where possible or leveraging on dpctl.tensor implementation #1560
• Leveraged dpctl.tensor implementation for dpnp.reciprocal function #1650
• Leveraged dpctl.tensor implementation for dpnp.mean function #1632
• Leveraged dpctl.tensor implementation for dpnp.repeat function #1614
• Leveraged dpctl.tensor implementation for dpnp.argmax and dpnp.argmin functions #1610
• Leveraged dpctl.tensor implementation for dpnp.geomspace and dpnp.logspace functions #1603
• Leveraged dpctl.tensor implementation for dpnp.max and dpnp.min functions #1602
• Leveraged dpctl.tensor implementation for dpnp.astype function #1597
• Leveraged dpctl.tensor implementation for dpnp.maximum and dpnp.minimum functions #1558

Fixed

• Resolved potential raising of execution placement error from dpnp.take_along_axis and dpnp.put_along_axis functions #1702
• Improved performance of dpnp.matmul and dpnp.dot function when out keyword is passed #1694
• Completed documentation for each array creation functions #1674
• Aligned dpnp.clip where both min and max keywords have None value with NumPy implementation #1670
• Fixed a bug related to out keyword in elementwise functions #1656
• Resolved compilation warnings due to -Wvla-extension option enabled by default #1651
• Replaced deprecated IntelDPCPPConfig.cmake script with vendored IntelSYCLConfig.cmake #1611
• Improved coverage report to include code of pybind11 extensions #1609
• Improved performance of...

DPNP 0.13.0

Added

• Added implementation of flipping functions: dpnp.flip, dpnp.fliplr and dpnp.flipud #1543
• Added implementation of dpnp.rint function through dpnp.round call #1537
• Added implementation of dpnp.real and dpnp.imag elementwise functions #1557
• Added in-place support for arithmetic operators #1530
• Dropped build and uploading the package with python=3.8 to dppy/label/dev channel of Anaconda #1534
• Implemented build and uploading the package with python=3.11 to dppy/label/dev channel of Anaconda #1501
• Added the versioneer to compute a product version number #1497
• Added cython support of 3.0.0 or above version #1495

Changed

• Updated Build from source section in README.md to state all the required prerequisite packages #1553
• Reworked dpnp.hstack and dpnp.atleast_1d through existing functions to get rid of falling back on NumPy #1544
• Reworked dpnp.asfarray through existing functions to get rid of falling back on NumPy #1542
• Converted from raw to multi_ptr with address_space_cast to adopt towards changes introduced in SYCL 2020 #1538
• Updated install instruction via pip #1531
• Reworked dpnp.copyto through existing functions instead of a separate kernel #1516
• Aligned default order value with NumPy in asarray-like functions #1526
• Created unary and binary elementwise functions at module import #1522
• Redesigned trigonometric and hyperbolic functions through pybind11 extension of OneMKL calls where possible or leveraging on dpctl.tensor implementation #1545
• Added dpnp.signbit and dpnp.proj functions implemented through pybind11 extension of OneMKL calls where possible or leveraging on dpctl.tensor implementation #1535
• Redesigned dpnp.round and dpnp.around functions through pybind11 extension of OneMKL calls where possible or leveraging on dpctl.tensor implementation #1520
• Redesigned dpnp.sign and dpnp.negative functions through pybind11 extension of OneMKL calls where possible or leveraging on dpctl.tensor implementation #1523
• Redesigned dpnp.conjugate and dpnp.conj functions through pybind11 extension of OneMKL calls where possible or leveraging on dpctl.tensor implementation #1519
• Redesigned dpnp.ceil, dpnp.floor and dpnp.trunc functions through pybind11 extension of OneMKL calls where possible or leveraging on dpctl.tensor implementation #1518
• Redesigned dpnp.remainder and dpnp.mod functions through pybind11 extension of OneMKL calls where possible or leveraging on dpctl.tensor implementation #1515
• Redesigned dpnp.power function through pybind11 extension of OneMKL calls where possible or leveraging on dpctl.tensor implementation #1476
• Leveraged dpctl.tensor implementation for dpnp.put function #1529
• Leveraged dpctl.tensor implementation for dpnp.roll and dpnp.rollaxis functions #1517
• Leveraged dpctl.tensor implementation for dpnp.copy function #1540
• Leveraged dpctl.tensor implementation for dpnp.expand_dims and dpnp.swapaxes functions #1532
• Leveraged dpctl.tensor implementation for bitwise operations #1508
• Leveraged dpctl.tensor implementation for dpnp.all and dpnp.any functions #1512
• Leveraged dpctl.tensor implementation for dpnp.stack function #1509
• Leveraged dpctl.tensor implementation for dpnp.concatenate function #1507
• Leveraged dpctl.tensor implementation for dpnp.isnan, dpnp.isinf and dpnp.isfinite functions #1504
• Leveraged dpctl.tensor implementation for dpnp.take function #1492
• Refreshed API References block in the documentation #1490
• Refreshed documentation to reflect an actual product behavior #1485
• Upgraded the build flow to use newer pybind11=2.11.1 version #1510
• Updated pre-commit hooks to run with flake8=6.1.0 and black=23.7.0 #1505
• Pinned DPC++ and OneMKL versions to `2023.2`` release #1496
• Added a specialized kernel for F-contiguous arrays to dpnp.sum with axis=1 #1489
• Removed a workaround to Klockwork since it is not used anymore due to transition to Coverity tool #1493

Fixed

• Resolved Logically dead code issue addressed by Coverity scan #1541
• Resolved Arguments in wrong order issue addressed by Coverity scan #1513
• Resolved Pointer to local outside scope issue addressed by Coverity scan #1514
• Fixed assigning a value to potentially none-valued dictionary coverage generation script #1511
• Resolved issues with running dpnp.allclose function on a device without fp64 support #1536
• Resolved issues with running FFT functions on a device without fp64 support #1524
• Resolved issues with running mathematical functions on a device without fp64 support #1502
• Resolved issues with running random functions on a device without fp64 support #1498
• Resolved issues with running statistics functions on a device without fp64 support #1494

Full Changelog: 0.12.1...0.13.0

DPNP 0.12.1

Added

• Added classifiers metadata to a description of dpnp package #1460
• Added pygrep-hooks to pre-commit config #1454
• Added flake8 to pre-commit config #1453
• Added isort to pre-commit config #1451
• Added clang format to pre-commit config #1450
• Added black to pre-commit config #1449
• Added pre-commit hooks #1448

Changed

• Pinned to dpctl>=0.14.5 as host and run dependencies #1481
• Pinned dependent cython package to a version less than 3.0.0 #1480
• Added a specialized kernel for dpnp.sum with axis=0 as a pybind11 extension #1479
• Redesigned dpnp.square function through pybind11 extension of OneMKL call where possible or Leveraging on dpctl.tensor implementation #1473
• Redesigned dpnp.cos and dpnp.sin functions through pybind11 extension of OneMKL calls where possible or Leveraging on dpctl.tensor implementation #1471
• Redesigned dpnp.sqrt function through pybind11 extension of OneMKL call where possible or leveraging on dpctl.tensor implementation #1470
• Redesigned dpnp.log function through pybind11 extension of OneMKL call where possible or leveraging on dpctl.tensor implementation #1469
• Leveraged dpctl.tensor implementation for logical operations #1464
• Leveraged dpctl.tensor implementation for dpnp.floor_divide function #1462
• Leveraged dpctl.tensor implementation for comparison functions #1458

Fixed

• Improved dpnp.dot function to support OneMKL calls for input and output arrays with strides #1477
• Resolved issues with running dpnp.linalg functions on a device without fp64 support #1474
• Added dtype check of fp64 support by the resulting array in call_origin function #1457
• Resolved a compilation warning with std::getenv() call on Windows #1452
• Corrected a link to OneAPI Toolkit in Installation Guide #1445

Full Changelog: 0.12.0...0.12.1

DPNP 0.12.0

Added

• Implemented dpnp.broadcast_to function #1333
• Implemented dpnp.extract function #1340
• Implemented dpnp.linalg.eigh function through pybind11 extension of OneMKL call #1383
• Implemented dpnp.mean function #1431
• Added support of bool types in bitwise operations #1334
• Added out parameter in dpnp.add function #1329
• Added out parameter in dpnp.multiply function #1365
• Added out parameter in dpnp.sqrt function #1332
• Added rowvar parameter in dpnp.cov function #1371
• Added nbytes property to dpnp array #1359
• Introduced a new github Action to control code coverage #1373
• Added change log #1439

Changed

• Leveraged dpctl.tensor implementation for dpnp.place function #1337
• Leveraged dpctl.tensor implementation for dpnp.moveaxis function #1382
• Leveraged dpctl.tensor implementation for dpnp.squeeze function #1381
• Leveraged dpctl.tensor implementation for dpnp.where function #1380
• Leveraged dpctl.tensor implementation for dpnp.transpose function #1389
• Leveraged dpctl.tensor implementation for dpnp.reshape function #1391
• Leveraged dpctl.tensor implementation for dpnp.add, dpnp.multiply and dpnp.subtract functions #1430
• Leveraged dpctl.tensor implementation for dpnp.sum function #1426
• Leveraged dpctl.tensor implementation for dpnp.result_type function #1435
• Reused OneDPL std::nth_element function in dpnp.partition with 1d array #1406
• Transitioned dpnp build system to use scikit-build #1349
• Renamed included dpnp_algo_*.pyx files to *.pxi #1356
• Implemented support of key as a tuple in dpnp.__getitem__() and dpnp.__setitem__() functions #1362
• Selected dpnp own kernels for elementwise functions instead of OneMKL VM calls on a device without fp64 aspect #1386
• Pinned to sysroot>=2.28 and transitioned to conda-forge channel #1408
• Redesigned dpnp.divide implementation to call div from OneMKL for C-contiguous data or to use dpctl.tensor library otherwise #1418
• Changed an engine used for random generated array on GPU device from MT19937 to MCG59 #1423
• Implemented in-place support of dpnp.divide #1434
• Redesigned dpnp.outer implementation through dpnp.multiply with broadcasted arrays #1436
• Pinned to dpctl>=0.14.3 as host and run dependencies #1437
• Reimplemented dpnp.cov through existing dpnp function instead of a separate kernel #1396

Fixed

• Fixed dpnp.asarray function to accept a sequence of dpnp arrays #1355
• Fixed crash in dpnp.sum with an empty array #1369
• Fixed compilation error around sycl::abs with DPC++ 2023.2.0 #1393
• Fixed Klockwork run and enabled cmake verbose mode for conda build #1433

Full Changelog: 0.11.1...0.12.0

DPNP 0.10.0

Compatibility with dpctl version 0.12.

DPNP 0.9.0

Merge branch 'master' into gold/2021

DPNP 0.8.0

DPNP 0.8.0
Compatibility with dpctl version 0.10.
Compatibility with numba-dppy version 0.16.
Migrating to dpctl.tensor.usm_ndarray as default data container.