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.

DPNP 0.8.0dev0

Backend library API changes

0.7.0: Merge pull request #814 from IntelPython/gold/2021

Gold/2021

DPNP 0.6.2

refector comment to preprocessor