dpnp

https://github.com/intelpython/dpnp - v0.18.1

Summary

This release achieves dpnp compatibility with Python 3.13 and enables distributing dpnp packages with the latest Python version.

Moreover, the release provides compatibility with NumPy 2.3.0 and includes several bug fixes.

Details

Added

Enabled support of Python 3.13 #2490

Changed

Updated the tests scope to exclude several matmul tests in case of numpy 2.3.0 due to known NumPy issue #2495

Fixed

Fixed a bug for calculating the norm (dpnp.linalg.norm) of empty arrays when keepdims=True is passed #2477
Updated the tests for hyperbolic and trigonometric elementwise functions to set correct tolerance for float16 dtype #2483

Contributors

@antonwolfy
@vtavana

Full Changelog: https://github.com/IntelPython/dpnp/compare/0.18.0...0.18.1

- Python
Published by antonwolfy 8 months ago

https://github.com/intelpython/dpnp - v0.18.0

Summary

This release achieves 100% compliance with Python Array API specification (revision 2024.12).

The release provides enhanced compatibility with NumPy 2.2.5. Window and mathematical routines are complemented by a set of new functions.

Moreover, it adds support to build dpnp from the source for AMD GPUs.

Details

Added

Added implementation of dpnp.hamming #2341, #2357
Added implementation of dpnp.hanning #2358
Added implementation of dpnp.blackman #2363
Added implementation of dpnp.bartlett #2366
Added implementation of dpnp.convolve #2205
Added implementation of dpnp.kaiser #2387
Added implementation of dpnp.bitwise_count #2308
Added implementation of dpnp.common_type #2391
Added implementation of dpnp.interp #2417
Added support to build dpnp for specified AMD GPU architecture using CodePlay oneAPI plug-in #2302

Changed

Improved performance of dpnp.nansum, dpnp.nanprod, dpnp.nancumsum, and dpnp.nancumprod by reusing dpnp.nan_to_num function in implementation of the functions #2339
Allowed input array of uint64 dtype in dpnp.bincount #2361
The vector norms ord={None, 1, 2, inf} and the matrix norms ord={None, 1, 2, inf, "fro", "nuc"} now consistently return zero for empty arrays, which are arrays with at least one axis of size zero. This change affects dpnp.linalg.norm, dpnp.linalg.vector_norm, and dpnp.linalg.matrix_norm. Previously, dpnp would either raise errors or return zero depending on the parameters provided #2371
Extended dpnp.fft.fftfreq and dpnp.fft.rfftfreq functions to support dtype keyword per Python Array API spec 2024.12 #2384
Updated dpnp.fix to return output with the same data-type of input #2392
Updated dpnp.einsum to add support for order=None #2411
Updated Python Array API specification version supported to 2024.12 #2416
Removed einsum_call keyword from dpnp.einsum_path signature #2421
Updated dpnp.vdot to return a 0-D array when one of the inputs is a scalar #2295
Updated dpnp.outer to return the same dtype as NumPy when multiplying an array with a scalar #2295
Changed "max dimensions" to None in array API capabilities #2432
Updated kernel header i0.hpp to expose cyl_bessel_i0 function depending on build target #2440
Added MKL functions arg, copysign, i0, and inv from VM namespace to be used by implementation of the appropriate element-wise functions #2445
Clarified details about conda install instructions in Quick start quide and README #2446
Bumped oneMKL version up to 0.7 #2448
The parameter axis in dpnp.take_along_axis function has now a default value of -1 #2442
Updates the list of required python versions documented in Quick Start Guide #2449
Updated FFT module to ensure an input array is Hermitian before calling complex-to-real FFT #2444
Aligned black configuration with the list of supported python versions #2457
Use pyproject.toml instead of setup.py aligning with current packaging best practices #2462
Added a clarification to dpnp.linalg.cond docstring about its behavior with singular matrices #2460

Fixed

Resolved an issue with an incorrect result returned due to missing dependency from the strided kernel on a copy event in dpnp.erf #2378
Updated conda create commands build and install instructions of Quick start guide to avoid a compilation error #2395
Added handling of empty string passed to a test env variable defining data type scope as a False value #2415
Resolved build issues on non-Intel targets in dpnp.i0 and dpnp.kaiser #2439
Ensure consistency in the dpnp.linalg.LinAlgError exception raised on singular input matrices for both non-batched and batched cases in dpnp.linalg.inv #2458
Updated test f/w to correct a check of array interface while converting to numpy.ndarray for comparison #2467

New Contributors

@david-cortes-intel made their first contribution in https://github.com/IntelPython/dpnp/pull/2446

Contributors

@AlexanderKalistratov
@antonwolfy
@david-cortes-intel
@ndgrigorian
@vlad-perevezentsev
@vtavana

Full Changelog: https://github.com/IntelPython/dpnp/compare/0.17.0...0.18.0

- Python
Published by antonwolfy 9 months ago

https://github.com/intelpython/dpnp - v0.17.0

Summary

This release achieves 100% compliance with Python Array API specification (revision 2023.12).

The release provides enhanced compatibility with NumPy 2.2.3. Array manipulation, mathematical, logic, and statistics routines are complemented by a set of new functions.

Furthermore, a number of issues relating to running on NVIDIA GPUs have been resolved.

Details

Added

Added implementation of dpnp.gcd and dpnp.lcm functions #2091
Added implementation of dpnp.pad function #2093
Added implementation of dpnp.linalg.svdvals function #2094
Added implementation of dpnp.matrix_transpose function and dpnp.ndarray.mT attribute #2095
Exposed cross, diagonal, matrix_norm, outer, tensordot, trace and vector_norm functions as part of dpnp.linalg namespace #2099
Added implementation of dpnp.unstack function #2106
Added implementation of dpnp.ldexp function #2110
Added implementation of dpnp.vecdot and dpnp.linalg.vecdot functions #2112
Added implementation of dpnp.i0 function #2118
Added implementation of dpnp.isfortran function #2122
Added implementation of dpnp.spacing function #2125
Added implementation of dpnp.sinc function #2133
Added implementation of dpnp.corrcoef function #2139
Added implementation of dpnp.delete function #2142
Added implementation of dpnp.histogramdd function #2143
Added implementation of dpnp.bincount function #2145
Added support of inplace matrix multiplication via the @= operator #2147
Added implementation of dpnp.insert function #2151
Added implementation of dpnp.broadcast_shapes function #2153
Added implementation of dpnp.byte_bounds function #2155
Added implementation of dpnp.ndindex class #2157
Added implementation of dpnp.histogram2d function #2262
Added implementation of dpnp.binary_repr function #2168
Added implementation of dpnp.apply_along_axis function #2169
Added implementation of dpnp.cumulative_sum and dpnp.cumulative_prod functions #2171
Added implementation of dpnp.apply_over_axes function #2174
Added implementation of dpnp.compress function and dpnp_array.compress method #2177
Added implementation of dpnp.correlate function #2180, #2203
Added implementation of dpnp.nanmedian function #2191
Added implementation of dpnp.ndarray.__iter__ method #2206
Added implementation of dpnp.iterable function #2208
Added missing aliases on integer data types #2230
Enabled validation of dpnp conda/wheel packages with Python 3.13 (limited support) #2249
Added implementation of dpnp.ndarray.__array_namespace__ method #2252
Added implementation of dpnp.ndarray.__usm_ndarray__ protocol #2261
Added implementation of dpnp.isdtype function #2274
Added implementation of Python Array API Inspection namespace #2275
Added implementation of dpnp.matvec and dpnp.vecmat functions #2288
Added implementation of dpnp.unique_all, dpnp.unique_counts, dpnp.unique_inverse and dpnp.unique_values functions #2320

Changed

Improved performance of dpnp.histogram function by implementing a dedicated kernel #2027
Improved performance of dpnp.ndarray.fill method by leveraging on dpctl extension exposing fill kernel #2055
Extended dpnp.ndarray.reshape method and dpnp.reshape function to support shape and newshape keywords #2080
Extended support of order keyword in like-functions #2088
Updated dpnp.einsum function to comply with NEP-50 #2120
Extended dpnp.linalg.pinv and dpnp.linalg.matrix_rank functions to support rtol keyword #2124
Extended dpnp.array function to support ndmin keyword #2135
Leveraged dpctl.tensor implementation for dpnp.put_along_axis function #2134
Corrected dpnp.ndarray.item implemented to return a python scalar instead of zero-dimensional array #2138
Bumped NumPy, CuPy and Python versions used for building docs #2158
Extended dpnp.sort and dpnp.argsort functions to support kind="mergesort" and kind="radixsort" values #2159
Revised and updated information in README.md document #2166
Permitted "same_kind" casting for elementwise inplace operators #2170
Bumped oneMKL version up to 0.6 and added new --onemkl-interfaces-dir option to build script #2193
Updated implementation of dpnp.linalg.solve function to align with numpy >= 2.0 and Python array API #2198
Improved performance of dpnp.choose function by implementing a dedicated kernel #2201
Aligned with the functional changes introduced by NumPy 2.2 #2226
Improved performance of dpnp.nan_to_num function by implementing a dedicated kernel #2228
Enabled Intel MKL backends when building from the source with --onemkl-interfaces option #2229
Extended intersphinx_mapping with a link to CuPy documentation to make cupy functions clickable from the rendered pages #2232
Improved performance of dpnp.nanmedian function when axis is not None passed #2240
Aligned dpnp.trim_zeros with NumPy 2.2 and added support of a multi-dimensional input array #2241
Disallowed implicit conversion of dpnp.ndarray to numpy.ndarray #2260
Extended dpnp.ndarray.to_device method to support stream keyword #2263
Extended dpnp.sort and dpnp.argsort functions and dpnp.ndarray.sort and dpnp.ndarray.argsort methods to support descending keyword #2269
Extended dpnp.std and dpnp.var functions and dpnp.ndarray.std and dpnp.ndarray.var methods to support mean keyword #2271
Aligned qr, eig, eigh, svd and slogdet functions from dpnp.linalg to return namedtuple per Python array API #2276
Extended dpnp.std and dpnp.var functions and dpnp.ndarray.std and dpnp.ndarray.var methods to support correction keyword #2300
Extended dpnp.cov function to support all keyword arguments #2303
Disallowed minlength=None value passed into dpnp.bincount function #2310
Added build support with oneMath (new name of oneMKL interface) #2313
Aligned the signature of dpnp.astype function with Python array API #2318

Fixed

Migrated to experimental extension of DPC++ compiler with group_load/group_store per deprecation build warning #2123
Fixed DeprecationWarning appearing during running the tests #2156
Modified installation path for the tests to enable tests run by pytest --pyargs dpnp.tests command #2116
Resolved issues with dpnp.linalg.svd implementation invoked on NVIDIA GPU #2212
Fixed compilation warnings when building from the source with --target=cuda option #2225
Passed striped property to group_load/group_store functions replicating legacy behavior #2238
Added a workaround to prevent a race condition in dpnp.linalg.qr when running on NVIDIA GPU #2265
Resolved IndexError exception raised by dpnp.matmul #2278
Declared missing required dependencies on numpy and dpctl packages from dpnp wheel package #2283
Resolved an issue with wrong result shape returned by dpnp.vecdot #2294
Resolved an issue with wrong result returned by dpnp.tensordot for integer data types #2296
Resolved ValueError exception raised by dpnp.linalg.qr with non-contiguous input array #2314
Resolved an issue with wrong result returned by dpnp.fft.fftn and dpnp.fft.rfftn when running on NVIDIA GPU #2332
Added a workaround to prevent a memory corruption in dpnp.correlate #2333

New Contributors

@ndgrigorian made their first contribution in https://github.com/IntelPython/dpnp/pull/2055
@jharlow-intel made their first contribution in https://github.com/IntelPython/dpnp/pull/2285

Contributors

@AlexanderKalistratov
@antonwolfy
@ekomarova
@jharlow-intel
@npolina4
@ndgrigorian
@vlad-perevezentsev
@vtavana

Full Changelog: https://github.com/IntelPython/dpnp/compare/0.16.3...0.17.0

- Python
Published by antonwolfy 12 months ago

https://github.com/intelpython/dpnp - v0.16.3

This is a bug fix release which supports building dpnp with DPC++ 2025.0.4 compiler, resolving gh-2243.

Full Changelog: https://github.com/IntelPython/dpnp/compare/0.16.2...0.16.3

- Python
Published by antonwolfy about 1 year ago

https://github.com/intelpython/dpnp - v0.16.2

This is a bug fix release which supports use of dpnp in virtual environment on Windows, resolving gh-2242.

Full Changelog: https://github.com/IntelPython/dpnp/compare/0.16.1...0.16.2

- Python
Published by antonwolfy about 1 year ago

https://github.com/intelpython/dpnp - 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: https://github.com/IntelPython/dpnp/compare/0.16.0...0.16.1

- Python
Published by antonwolfy about 1 year ago

https://github.com/intelpython/dpnp - 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 method #1975
Extended dpnp.ndarray.copy to support compute follow data keyword arguments #1976
Reworked dpnp.select implementation through existing functions instead of a separate kernel #1977
Leveraged dpctl.tensor implementation for dpnp.from_dlpack and dpnp.ndarray.__dlpack__ functions #1980
Reworked dpnp.linalg module backend implementation for BLAS rouitnes to work with OneMKL interfaces #1981
Reworked dpnp.ediff1d implementation to reduce code duplication #1983
dpnp can be used with any NumPy from 1.23 to 2.0 #1985
Reworked dpnp.unique implementation to properly handle NaNs values #1972
Removed dpnp.issubcdtype per NumPy 2.0 recommendation #1996
Reworked dpnp.unique implementation to align with NumPy 2.0 #1999
Reworked dpnp.linalg.solve backend implementation to work with OneMKL Interfaces #2001
Reworked dpnp.trapezoid implementation through existing functions instead of falling back on NumPy #2003
Added copy keyword to dpnp.array to align with NumPy 2.0 #2006
Extended dpnp.heaviside to support order and out keyword arguments by writing dedicated kernel for it #2008
dpnp uses pybind11 2.13.5 #2010
Added COMPILER_VERSION_2025_OR_LATER flag to be able to run dpnp.fft module with both 2024.2 and 2025.0 versions of the compiler #2025
Cleaned up an implementation of dpnp.gradient by removing obsolete TODO which is not going to be done #2032
Updated Array Manipulation Routines page in documentation to add missing functions and to remove duplicate entries #2033
dpnp uses pybind11 2.13.6 #2041
Updated dpnp.fft backend to depend on INTEL_MKL_VERSION flag to ensures that the appropriate code segment is executed based on the version of OneMKL #2035
Use dpctl::tensor::alloc_utils::sycl_free_noexcept instead of sycl::free in host_task tasks associated with life-time management of temporary USM allocations #2058
Improved implementation of dpnp.kron to avoid unnecessary copy for non-contiguous arrays #2059
Updated the test suit for dpnp.fft module #2071
Reworked dpnp.clip implementation to align with Python Array API 2023.12 specification #2048
Skipped outdated tests for dpnp.linalg.solve due to compatibility issues with NumPy 2.0 #2074
Updated installation instructions #2098

Fixed

Resolved an issue with dpnp.matmul when an f_contiguous out keyword is passed to the the function #1872
Resolved a possible race condition in dpnp.inv #1940
Resolved an issue with failing tests for dpnp.append when running on a device without fp64 support #2034
Resolved an issue with input array of usm_ndarray passed into dpnp.ix_ #2047
Added a workaround to prevent crash in tests on Windows in internal CI/CD (when running on either Lunar Lake or Arrow Lake) #2062
Fixed a crash in dpnp.choose caused by missing control of releasing temporary allocated device memory #2063
Resolved compilation warning and error while building in debug mode #2066
Fixed an issue with asynchronous execution in dpnp.fft module #2067

Full Changelog: https://github.com/IntelPython/dpnp/compare/0.15.0...0.16.0

- Python
Published by antonwolfy over 1 year ago

https://github.com/intelpython/dpnp - 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 https://github.com/IntelPython/dpnp/pull/1593

Full Changelog: https://github.com/IntelPython/dpnp/compare/0.14.0...0.15.0

- Python
Published by antonwolfy over 1 year ago

https://github.com/intelpython/dpnp - 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.atleast_2d and dpnp.atleast_3d functions and fixed to return a correct shape of resulting array #1560

- Python
Published by antonwolfy almost 2 years ago

https://github.com/intelpython/dpnp - 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: https://github.com/IntelPython/dpnp/compare/0.12.1...0.13.0

- Python
Published by vlad-perevezentsev over 2 years ago

https://github.com/intelpython/dpnp - 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: https://github.com/IntelPython/dpnp/compare/0.12.0...0.12.1

- Python
Published by antonwolfy over 2 years ago

https://github.com/intelpython/dpnp - 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 dpnpalgo*.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: https://github.com/IntelPython/dpnp/compare/0.11.1...0.12.0

- Python
Published by antonwolfy over 2 years ago

Recent Releases of https://github.com/intelpython/dpnp

https://github.com/intelpython/dpnp - v0.18.1

Summary

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Added

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https://github.com/intelpython/dpnp - v0.18.0

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Contributors

https://github.com/intelpython/dpnp - v0.17.0

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Contributors

https://github.com/intelpython/dpnp - v0.16.3

https://github.com/intelpython/dpnp - v0.16.2

https://github.com/intelpython/dpnp - v0.16.1

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https://github.com/intelpython/dpnp - v0.16.0

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https://github.com/intelpython/dpnp - v0.15.0

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https://github.com/intelpython/dpnp - v0.14.0

Added

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https://github.com/intelpython/dpnp - DPNP 0.13.0

Added

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https://github.com/intelpython/dpnp - DPNP 0.12.1

Added

Changed

Fixed

https://github.com/intelpython/dpnp - DPNP 0.12.0

Added

Changed

Fixed

https://github.com/intelpython/dpnp - DPNP 0.10.0

https://github.com/intelpython/dpnp - DPNP 0.9.0

https://github.com/intelpython/dpnp - DPNP 0.8.0

https://github.com/intelpython/dpnp - DPNP 0.8.0dev0

https://github.com/intelpython/dpnp -

https://github.com/intelpython/dpnp - DPNP 0.6.2

https://github.com/intelpython/dpnp - DPNP 0.5.1

https://github.com/intelpython/dpnp - DPNP 0.5.0

https://github.com/intelpython/dpnp - DPNP 0.4.0

https://github.com/intelpython/dpnp - DPNP 0.2 with MKL beta9

https://github.com/intelpython/dpnp - DPNP 0.3.0

https://github.com/intelpython/dpnp - initial release